diff --git a/GAMS/IntExtOpt.gms b/GAMS/IntExtOpt.gms
index 03eddb77380ae7e2b66e185093bab78260ec7552..7cf01efc906dbf7f23b724c45e4028add2f63d0b 100644
--- a/GAMS/IntExtOpt.gms
+++ b/GAMS/IntExtOpt.gms
@@ -54,7 +54,6 @@
PARAMETER tradeAdjustmentCostRate(import_types) cost of adjusting net imports;
PARAMETER previousLandCoverArea(land_cover, protection, location) land cover area in Mha;
- PARAMETER maxCroplandArea(location);
PARAMETER carbonCreditRate(land_cover_before, land_cover_after, location) potential carbon credits from LULUCF - tC-eq per ha;
PARAMETER conversionCost(land_cover_before, land_cover_after, location) cost of converting from one land cover to another - $1000 per ha;
PARAMETER woodYieldMax(location);
@@ -62,12 +61,12 @@
PARAMETER forestBaseCost(managed_forest);
PARAMETER previousRotationIntensity(location);
PARAMETER maxLandCoverChange(land_cover_before, land_cover_after, protection, location);
+ PARAMETER maxLandCoverArea(land_cover, protection, location);
PARAMETER solarEnergyDensity(solar_land, location) MWh per ha;
PARAMETER solarCost(solar_land, location) 1000$ per ha;
PARAMETER agrivoltaicsYieldFactor(crop, farming_type, location);
PARAMETER agrivoltaicsCropCostFactor(farming_type) crop unit cost is lower since crop area is smaller due to space taken by PV panels;
- PARAMETER maxSolarArea(location);
PARAMETER otherIParam(crop, location) yield response to other intensity;
PARAMETER prodCost(crop) cost per ha before intensity values not including fertiliser or irrigation i.e. seed spray and other. In 1000 $ per ha;
@@ -100,18 +99,18 @@
PARAMETER monoculturePenalty(crop);
SCALAR noLandCoverChange;
-*$gdxin "/Users/bart/Documents/PLUM_Output/calib_forest/GamsTmp/loc15158210383525336634/_gams_java_gdb1.gdx"
+*$gdxin "//Users/bart/Documents/PLUM_Output/calib_forest/GamsTmp/loc5477150545968846997/_gams_java_gdb1.gdx"
$gdxin %gdxincname%
$load location, suitableLandArea, demand
$load previousCropArea, previousFertIntensity, previousIrrigIntensity, previousOtherIntensity, previousRuminantFeed, previousMonogastricFeed, previousImportAmount, previousExportAmount
$load yieldNone, yieldFertOnly, yieldIrrigOnly, yieldBoth, yieldShock
$load fertParam, irrigParam, otherIParam, exportPrices, importPrices, maxNetImport, minNetImport, unhandledCropRate, setAsideRate, subsidyRate
$load meatEfficency, otherICost, irrigCost, irrigConstraint, irrigMaxRate, fertiliserUnitCost, domesticPriceMarkup, seedAndWasteRate
-$load previousLandCoverArea, maxCroplandArea, carbonCreditRate, conversionCost, woodYieldMax, woodYieldParam, forestBaseCost, tradeAdjustmentCostRate
-$load forestManagementCost, carbonForestMaxProportion, previousRotationIntensity, maxLandCoverChange, maxGrossLandChange
+$load previousLandCoverArea, carbonCreditRate, conversionCost, woodYieldMax, woodYieldParam, forestBaseCost, tradeAdjustmentCostRate
+$load forestManagementCost, carbonForestMaxProportion, previousRotationIntensity, maxLandCoverChange, maxGrossLandChange, maxLandCoverArea
$load fertLimRestricted, irrigLimRestricted, otherLimRestricted, fertLimConventional, irrigLimConventional, otherLimConventional
$load solarEnergyDensity, agrivoltaicsYieldFactor, solarCost, prodCost, animalProdCost, feedCostCalib
-$load discountRate, energyPrice, monoculturePenalty, noLandCoverChange, agrivoltaicsCropCostFactor, maxSolarArea
+$load discountRate, energyPrice, monoculturePenalty, noLandCoverChange, agrivoltaicsCropCostFactor
$gdxin
SCALAR delta "use to smooth power function see 7.5 www.gams.com dd docs solversconopt.pdf" / 0.00000000001 /;
@@ -140,7 +139,7 @@ $gdxin
/;
-* Discounting factor used when calculating NPV. sum(t, v * (1 - r)^t) = v * (1 / t) if t is {1, 2... infinity} and v is constant
+* Discounting factor used when calculating NPV. sum(t, v * (1 - r)^t) = v * (1 / t) if t is {1, 2... infinity} and v is constant (r=discount rate, v=net value)
discountFactor = 1 / discountRate;
PARAMETER totalLandArea(location);
@@ -151,23 +150,23 @@ totalLandArea(location) = sum((land_cover, protection), previousLandCoverArea(la
unitCost(crop, farming_type, location) cost per area for each crop - cost
fertI(crop, farming_type, location) fertilizer intensity for each crop - factor between 0 and 1
irrigI(crop, farming_type, location) irrigation intensity for each crop - factor between 0 and 1
- otherIntensity(crop, farming_type, location)
+ otherIntensity(crop, farming_type, location) management intensity for each crop - factor between 0 and 1
yield(crop, farming_type, location) yield per area for each crop - t per ha
cropArea(crop, farming_type, location) total area for crops - Mha
- cropProd(crop, location)
- production(all_types) total production
- netSupply(agri_types) crop supply
- feed(animal, all_types)
- bioenergyFeedstock(agri_types) amount used for bioenergy - Mt
- importAmount(all_types)
- exportAmount(all_types) exports of crops and meat - Mt
- netImportAmount(import_types)
- foodImportAmount(all_types)
- otherImportAmount(all_types) feed and bioenergy imports - Mt
+ totalFeedDM total feed dry matter
+
+ cropProd(crop, location) total crop production at each location - Mt
+ production(all_types) total country production - Mt
+ netSupply(agri_types) net supply - Mt
+ feed(animal, all_types) feed consumption - Mt
+
+ importAmount(all_types) total imports - Mt
+ exportAmount(all_types) total exports - Mt
+ netImportAmount(import_types) net imports - Mt
+ feedImportAmount(all_types) feed imports - Mt
+ otherImportAmount(all_types) food bioenergy crops imports (i.e. not feed) - Mt
tradeAdjustmentCost(import_types) cost of changing trade levels
-
- totalFeedDM total feed dry matter
landCoverArea(land_cover, protection, location) land cover area in Mha
landCoverChange(land_cover_before, land_cover_after, protection, location) land cover change in Mha
totalConversionCost(location) land cover conversion cost - $1000 per ha
@@ -185,8 +184,8 @@ totalLandArea(location) = sum((land_cover, protection), previousLandCoverArea(la
;
- POSITIVE VARIABLE cropArea, fertI, irrigI, otherIntensity, feed, importAmount, exportAmount, totalFeedDM, bioenergyFeedstock, netSupply
- landCoverArea, landCoverChange, woodYieldRota, rotationIntensity, woodSupply, roundwoodRatio, production, foodImportAmount, otherImportAmount;
+ POSITIVE VARIABLE cropArea, fertI, irrigI, otherIntensity, feed, importAmount, exportAmount, totalFeedDM, netSupply
+ landCoverArea, landCoverChange, woodYieldRota, rotationIntensity, woodSupply, roundwoodRatio, production, feedImportAmount, otherImportAmount;
* POSITIVE VARIABLE A;
@@ -218,7 +217,7 @@ totalLandArea(location) = sum((land_cover, protection), previousLandCoverArea(la
LAND_COVER_CHANGE_CALC(land_cover, protection, location) "calc land cover change. landCoverChange(A, A, location) defined as unchanged land cover"
LAND_COVER_CHANGE_CONSTRAINT(land_cover, protection, location) conservation of land area
CONVERSION_COST_CALC(location) cost of land cover conversion
- MAX_CROPLAND_CONSTRAINT(location) limits on maximum cropland due to slope
+ MAX_CROPLAND_CONSTRAINT(protection, location) limits on maximum cropland due to slope
MAX_LAND_COVER_CHANGE_CONSTRAINT(location)
WOOD_YIELD_CALC(location) wood yield at rotation - tC per ha
@@ -229,7 +228,8 @@ totalLandArea(location) = sum((land_cover, protection), previousLandCoverArea(la
FORESTRY_NPV_CALC(location) net present value of wood production (Faustmann's formula)
SOLAR_ENERGY_DEMAND_CONSTRAINT energy production equals consumption
- SOLAR_AREA_CONSTRAINT(location)
+ MAX_PHOTOVOLTAICS_CONSTRAINT(protection, location)
+ MAX_AGRIVOLTAICS_CONSTRAINT(protection, location)
CARBON_CREDIT_CALC(location) carbon credits generated
CARBON_CREDIT_CONSTRAINT production equals demand plus exports minus imports
@@ -238,6 +238,7 @@ totalLandArea(location) = sum((land_cover, protection), previousLandCoverArea(la
NPV_CALC calc objective
;
+
**************** Crop cost **************************
UNIT_COST_EQ(crop, farming_type, location) .. unitCost(crop, farming_type, location) =E= (
@@ -286,18 +287,17 @@ totalLandArea(location) = sum((land_cover, protection), previousLandCoverArea(la
ANIMAL_PROD_CALC(animal) .. production(animal) =E= meatEfficency * sum(feed_crop, feed(animal, feed_crop) * cropDM(feed_crop)) * (1 - seedAndWasteRate(animal));
- NET_SUPPLY_CALC(agri_types) .. netSupply(agri_types) =E= production(agri_types) + otherImportAmount(agri_types) - sum(animal, feed(animal, agri_types)) - bioenergyFeedstock(agri_types);
+ NET_SUPPLY_CALC(agri_types) .. netSupply(agri_types) =E= production(agri_types) + feedImportAmount(agri_types) - sum(animal, feed(animal, agri_types));
TOTAL_NON_PASTURE_FEED_DM_CALC .. totalFeedDM =E= sum((feed_crop_less_pasture, animal), feed(animal, feed_crop_less_pasture) * cropDM(feed_crop_less_pasture));
FEED_MIX_CONSTRAINT(feed_crop_less_pasture) .. sum(animal, feed(animal, feed_crop_less_pasture) * cropDM(feed_crop_less_pasture)) =L= totalFeedDM * 0.7;
- SUPPLY_CONSTRAINT(agri_types) .. netSupply(agri_types) =E= demand(agri_types) - foodImportAmount(agri_types) + exportAmount(agri_types);
+ SUPPLY_CONSTRAINT(agri_types) .. netSupply(agri_types) =E= demand(agri_types) - otherImportAmount(agri_types) + exportAmount(agri_types);
feed.FX('monogastrics', 'pasture') = 0;
- bioenergyFeedstock.FX(agri_types)$(not sameAs(agri_types, 'energycrops')) = 0;
- otherImportAmount.FX('pasture') = 0;
- otherImportAmount.FX(animal) = 0;
+ feedImportAmount.FX('pasture') = 0;
+ feedImportAmount.FX(animal) = 0;
************** Land Cover *****************************
@@ -319,8 +319,13 @@ totalLandArea(location) = sum((land_cover, protection), previousLandCoverArea(la
CONVERSION_COST_CALC(location) .. totalConversionCost(location) =E= sum((land_cover_before, land_cover_after, protection),
landCoverChange(land_cover_before, land_cover_after, protection, location) * conversionCost(land_cover_before, land_cover_after, location));
-* Cropland area restriction due to slope
- MAX_CROPLAND_CONSTRAINT(location) .. sum((crop_less_pasture, farming_type), cropArea(crop_less_pasture, farming_type, location)) =L= maxCroplandArea(location);
+* Cropland area restriction due to slope. Agrivoltaics counts as cropland
+ MAX_CROPLAND_CONSTRAINT(protection, location) .. landCoverArea('cropland', protection, location) + landCoverArea('agrivoltaics', protection, location) =L= maxLandCoverArea('cropland', protection, location);
+
+* Photovoltaics area restriction due to slope and accessibility. Agrivoltaics counts as photovoltaics
+ MAX_PHOTOVOLTAICS_CONSTRAINT(protection, location) .. landCoverArea('photovoltaics', protection, location) + landCoverArea('agrivoltaics', protection, location) =L= maxLandCoverArea('photovoltaics', protection, location);
+
+ MAX_AGRIVOLTAICS_CONSTRAINT(protection, location) .. landCoverArea('agrivoltaics', protection, location) =L= maxLandCoverArea('agrivoltaics', protection, location);
* Used to constrain allowed land cover conversions
landCoverChange.UP(land_cover_before, land_cover_after, protection, location) = maxLandCoverChange(land_cover_before, land_cover_after, protection, location);
@@ -360,11 +365,12 @@ totalLandArea(location) = sum((land_cover, protection), previousLandCoverArea(la
SOLAR_ENERGY_DEMAND_CONSTRAINT .. sum((solar_land, location), solarEnergyDensity(solar_land, location) * landCoverArea(solar_land, 'unprotected', location)) =E= demand('solarEnergy') - importAmount('solarEnergy');
- SOLAR_AREA_CONSTRAINT(location) .. sum(solar_land, landCoverArea(solar_land, 'unprotected', location)) =L= maxSolarArea(location);
+* maxLandCoverArea('photovoltaics', protection, location) is the limit on photovoltaics plus agrivoltaics as it doesn't make sense to separate the two
+
*************** Trade *******************************
- IMPORTS_CALC(import_types) .. importAmount(import_types) =E= foodImportAmount(import_types) + otherImportAmount(import_types);
+ IMPORTS_CALC(import_types) .. importAmount(import_types) =E= feedImportAmount(import_types) + otherImportAmount(import_types);
NET_IMPORT_CALC(import_types) .. netImportAmount(import_types) =E= importAmount(import_types) - exportAmount(import_types);
@@ -388,8 +394,8 @@ totalLandArea(location) = sum((land_cover, protection), previousLandCoverArea(la
+ sum((solar_land, location), solarEnergyDensity(solar_land, location) * landCoverArea(solar_land, 'unprotected', location)) * energyPrice
* Cost of crop production
- sum((crop, farming_type, location), cropArea(crop, farming_type, location) * unitCost(crop, farming_type, location) * (1 - subsidyRate(crop)))
-* Cost of feed and energy crop imports
- - sum(import_types, otherImportAmount(import_types) * importPrices(import_types))
+* Cost of feed imports
+ - sum(import_types, feedImportAmount(import_types) * importPrices(import_types))
* Cost of animal production. Including exponential cost factor to avoid producing only most profitable animal product
- sum(animal, exp(production(animal) * 0.001) * animalProdCost(animal) * production(animal) * (1 - subsidyRate(animal)))
* Cost of PV panels (annualised)
diff --git a/data/energy_demand.csv b/data/energy_demand.csv
new file mode 100644
index 0000000000000000000000000000000000000000..001a7bca49034f00ae02e4576c1454ce0424b4d7
--- /dev/null
+++ b/data/energy_demand.csv
@@ -0,0 +1,14662 @@
+Year,Iso3,Solar_TWh,Bioenergy1stGen_TWh,Bioenergy2ndGen_TWh
+2020,AFG,0.06,0.00837862575570435,0.0046000182019112
+2021,AFG,0.075918,0.010400519159908105,0.01762025248666993
+2022,AFG,0.091836,0.012422412564111859,0.030640486771428662
+2023,AFG,0.10775399999999999,0.01444430596831561,0.04366072105618739
+2024,AFG,0.12367199999999999,0.016466199372519363,0.056680955340946124
+2025,AFG,0.13959,0.018488092776723117,0.06970118962570485
+2026,AFG,0.238848,0.020680306472916892,0.10511686714449843
+2027,AFG,0.338106,0.022872520169110667,0.14053254466329201
+2028,AFG,0.437364,0.025064733865304438,0.17594822218208558
+2029,AFG,0.536622,0.027256947561498213,0.21136389970087918
+2030,AFG,0.63588,0.029449161257691987,0.24677957721967275
+2031,AFG,0.890706,0.03338572983767585,0.7849409239676892
+2032,AFG,1.1455320000000002,0.0373222984176597,1.3231022707157059
+2033,AFG,1.4003580000000002,0.04125886699764356,1.8612636174637225
+2034,AFG,1.6551840000000002,0.045195435577627424,2.3994249642117387
+2035,AFG,1.9100100000000002,0.04913200415761128,2.9375863109597553
+2036,AFG,2.514864,0.05550930517701448,3.1828321107384956
+2037,AFG,3.119718,0.061886606196417684,3.428077910517236
+2038,AFG,3.724572,0.06826390721582089,3.6733237102959757
+2039,AFG,4.329426,0.07464120823522409,3.918569510074716
+2040,AFG,4.93428,0.0810185092546273,4.163815309853456
+2041,AFG,6.37809,0.09058960971765077,3.8936481547433113
+2042,AFG,7.8219,0.10016071018067425,3.6234809996331663
+2043,AFG,9.26571,0.10973181064369772,3.3533138445230217
+2044,AFG,10.709520000000001,0.1193029111067212,3.0831466894128763
+2045,AFG,12.15333,0.12887401156974468,2.8129795343027317
+2046,AFG,14.424984000000002,0.13644765018909283,2.2503836274421856
+2047,AFG,16.696638000000004,0.144021288808441,1.687787720581639
+2048,AFG,18.968292,0.15159492742778916,1.1251918137210928
+2049,AFG,21.239946000000003,0.15916856604713733,0.5625959068605462
+2050,AFG,23.511600000000005,0.16674220466648548,0
+2051,AFG,26.749998000000005,0.1773580847114465,0
+2052,AFG,29.988396000000005,0.1879739647564075,0
+2053,AFG,33.226794000000005,0.19858984480136854,0
+2054,AFG,36.465192,0.20920572484632954,0
+2055,AFG,39.703590000000005,0.21982160489129057,0
+2056,AFG,44.525448000000004,0.2331872822281125,0
+2057,AFG,49.347306,0.24655295956493445,0
+2058,AFG,54.169164,0.2599186369017564,0
+2059,AFG,58.991022,0.2732843142385783,0
+2060,AFG,63.81288,0.2866499915754002,0
+2061,AFG,69.36257400000001,0.29910369499723294,0
+2062,AFG,74.91226800000001,0.31155739841906566,0
+2063,AFG,80.46196200000001,0.32401110184089843,0
+2064,AFG,86.01165600000002,0.33646480526273115,0
+2065,AFG,91.56135000000002,0.34891850868456387,0
+2066,AFG,98.85562800000002,0.3613722121063966,0
+2067,AFG,106.14990600000002,0.37382591552822936,0
+2068,AFG,113.44418400000002,0.3862796189500621,0
+2069,AFG,120.73846200000003,0.39873332237189485,0
+2070,AFG,128.03274000000002,0.41118702579372757,0
+2071,AFG,137.71054200000003,0.42078981809508337,0
+2072,AFG,147.38834400000002,0.43039261039643917,0
+2073,AFG,157.06614600000003,0.43999540269779497,0
+2074,AFG,166.74394800000005,0.44959819499915077,0
+2075,AFG,176.42175000000003,0.45920098730050657,0
+2076,AFG,188.67753600000003,0.46880377960186237,5.9626307260645e-4
+2077,AFG,200.93332200000003,0.47840657190321817,0.0011925261452129
+2078,AFG,213.189108,0.48800936420457397,0.00178878921781935
+2079,AFG,225.444894,0.49761215650592977,0.0023850522904258
+2080,AFG,237.70068,0.5072149488072856,0.00298131536303225
+2081,AFG,249.97869,0.5141592571767741,0.003681337759307137
+2082,AFG,262.2567,0.5211035655462627,0.004381360155582024
+2083,AFG,274.53471,0.5280478739157513,0.0050813825518569115
+2084,AFG,286.81272,0.5349921822852398,0.005781404948131798
+2085,AFG,299.09073,0.5419364906547284,0.006481427344406685
+2086,AFG,313.363344,0.5488807990242169,0.007181449740681572
+2087,AFG,327.635958,0.5558251073937055,0.007881472136956459
+2088,AFG,341.908572,0.562769415763194,0.008581494533231345
+2089,AFG,356.181186,0.5697137241326825,0.009281516929506232
+2090,AFG,370.4538,0.5766580325021711,0.009981539325781118
+2091,AFG,384.38194200000004,0.5791045966329322,0.01056334550778294
+2092,AFG,398.310084,0.5815511607636934,0.011145151689784763
+2093,AFG,412.23822600000005,0.5839977248944547,0.011726957871786584
+2094,AFG,426.16636800000003,0.5864442890252158,0.012308764053788406
+2095,AFG,440.09451000000007,0.588890853155977,0.012890570235790228
+2096,AFG,455.3227560000001,0.5913374172867382,0.01347237641779205
+2097,AFG,470.5510020000001,0.5937839814174993,0.014054182599793873
+2098,AFG,485.77924800000005,0.5962305455482606,0.014635988781795693
+2099,AFG,501.00749400000007,0.5986771096790218,0.015217794963797516
+2100,AFG,516.2357400000001,0.6011236738097829,0.015799601145799338
+2020,ALB,0.03,0.002557765616153991,0.14580453670503868
+2021,ALB,0.057405,0.002600739203326192,0.2129639094755904
+2022,ALB,0.08481,0.002643712790498393,0.28012328224614214
+2023,ALB,0.11221499999999998,0.002686686377670594,0.34728265501669386
+2024,ALB,0.13962,0.0027296599648427952,0.4144420277872456
+2025,ALB,0.16702499999999998,0.0027726335520149963,0.4816014005577973
+2026,ALB,0.266658,0.0028053881049495983,0.5986709853790799
+2027,ALB,0.36629100000000003,0.0028381426578842003,0.7157405702003625
+2028,ALB,0.465924,0.0028708972108188024,0.8328101550216451
+2029,ALB,0.5655570000000001,0.0029036517637534044,0.9498797398429277
+2030,ALB,0.6651900000000001,0.0029364063166880065,1.0669493246642103
+2031,ALB,0.770379,0.0028951456592873634,1.2194291445493055
+2032,ALB,0.8755680000000001,0.00285388500188672,1.3719089644344007
+2033,ALB,0.9807570000000001,0.002812624344486077,1.524388784319496
+2034,ALB,1.085946,0.0027713636870854335,1.6768686042045913
+2035,ALB,1.191135,0.0027301030296847904,1.8293484240896865
+2036,ALB,1.2796560000000001,0.002674676651252077,2.532501222529794
+2037,ALB,1.368177,0.0026192502728193635,3.2356540209699016
+2038,ALB,1.456698,0.0025638238943866496,3.9388068194100088
+2039,ALB,1.545219,0.002508397515953936,4.641959617850117
+2040,ALB,1.63374,0.0024529711375212227,5.345112416290224
+2041,ALB,1.711149,0.0023894998671300637,5.236596601682991
+2042,ALB,1.788558,0.0023260285967389043,5.128080787075758
+2043,ALB,1.865967,0.0022625573263477454,5.019564972468525
+2044,ALB,1.943376,0.002199086055956586,4.911049157861292
+2045,ALB,2.020785,0.002135614785565427,4.802533343254059
+2046,ALB,2.081526,0.0020857276008100652,5.410030754965874
+2047,ALB,2.142267,0.0020358404160547034,6.017528166677689
+2048,ALB,2.203008,0.0019859532312993416,6.625025578389503
+2049,ALB,2.263749,0.0019360660465439796,7.232522990101319
+2050,ALB,2.32449,0.0018861788617886178,7.840020401813133
+2051,ALB,2.424123,0.0018754452437591356,7.820273536693137
+2052,ALB,2.523756,0.0018647116257296532,7.800526671573142
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+2035,ZWE,6.377870000000001,3.674248512375054e-4,2.0122092485996395
+2036,ZWE,7.205464000000001,3.763927074584469e-4,3.4757983080924646
+2037,ZWE,8.033058,3.8536056367938833e-4,4.939387367585289
+2038,ZWE,8.860652,3.9432841990032983e-4,6.402976427078114
+2039,ZWE,9.688246000000001,4.032962761212713e-4,7.86656548657094
+2040,ZWE,10.51584,4.122641323422128e-4,9.330154546063763
+2041,ZWE,12.049046,4.191045569972718e-4,12.769668992885604
+2042,ZWE,13.582252000000002,4.2594498165233086e-4,16.209183439707445
+2043,ZWE,15.115458000000002,4.3278540630738995e-4,19.648697886529284
+2044,ZWE,16.648664000000004,4.39625830962449e-4,23.088212333351127
+2045,ZWE,18.181870000000004,4.46466255617508e-4,26.527726780172966
+2046,ZWE,20.748492000000002,4.5753419606858715e-4,31.451361004370224
+2047,ZWE,23.315114,4.686021365196662e-4,36.374995228567485
+2048,ZWE,25.881736000000004,4.7967007697074534e-4,41.29862945276474
+2049,ZWE,28.448358000000002,4.907380174218244e-4,46.222263676962
+2050,ZWE,31.01498,5.018059578729035e-4,51.14589790115926
+2051,ZWE,33.637162000000004,5.09513759397311e-4,49.11331463909718
+2052,ZWE,36.259344,5.172215609217186e-4,47.08073137703511
+2053,ZWE,38.881526,5.249293624461262e-4,45.04814811497304
+2054,ZWE,41.503708,5.326371639705337e-4,43.01556485291096
+2055,ZWE,44.12589,5.403449654949413e-4,40.98298159084889
+2056,ZWE,47.62592,5.38176690472756e-4,38.52235274882547
+2057,ZWE,51.12595,5.360084154505708e-4,36.061723906802044
+2058,ZWE,54.62598,5.338401404283854e-4,33.60109506477862
+2059,ZWE,58.12601,5.316718654062002e-4,31.1404662227552
+2060,ZWE,61.62604,5.29503590384015e-4,28.67983738073178
+2061,ZWE,63.864858000000005,5.20659491038377e-4,26.942211134123287
+2062,ZWE,66.10367600000001,5.11815391692739e-4,25.20458488751479
+2063,ZWE,68.342494,5.029712923471009e-4,23.4669586409063
+2064,ZWE,70.58131200000001,4.941271930014629e-4,21.729332394297806
+2065,ZWE,72.82013,4.8528309365582494e-4,19.991706147689314
+2066,ZWE,74.825596,4.7643899431018696e-4,18.25407990108082
+2067,ZWE,76.831062,4.675948949645489e-4,16.51645365447233
+2068,ZWE,78.836528,4.5875079561891093e-4,14.778827407863837
+2069,ZWE,80.841994,4.499066962732729e-4,13.041201161255344
+2070,ZWE,82.84746,4.410625969276349e-4,11.303574914646852
+2071,ZWE,85.29185,4.321355014675641e-4,10.525052106087506
+2072,ZWE,87.73624,4.2320840600749325e-4,9.74652929752816
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+2075,ZWE,95.06941,3.964271196272808e-4,7.41096087185012
+2076,ZWE,97.191552,3.8750002416721e-4,6.632438063290774
+2077,ZWE,99.313694,3.7857292870713917e-4,5.853915254731428
+2078,ZWE,101.43583600000001,3.696458332470684e-4,5.075392446172081
+2079,ZWE,103.557978,3.6071873778699756e-4,4.296869637612735
+2080,ZWE,105.68012,3.5179164232692673e-4,3.5183468290533897
+2081,ZWE,107.33000200000001,3.3986195986558405e-4,3.224384842353379
+2082,ZWE,108.979884,3.279322774042414e-4,2.9304228556533687
+2083,ZWE,110.629766,3.160025949428987e-4,2.6364608689533577
+2084,ZWE,112.279648,3.040729124815561e-4,2.3424988822533472
+2085,ZWE,113.92953,2.921432300202134e-4,2.0485368955533367
+2086,ZWE,115.48496,2.802135475588707e-4,1.7545749088533262
+2087,ZWE,117.04039,2.6828386509752803e-4,1.4606129221533157
+2088,ZWE,118.59582,2.563541826361854e-4,1.1666509354533052
+2089,ZWE,120.15125,2.444245001748427e-4,0.8726889487532947
+2090,ZWE,121.70668,2.3249481771350002e-4,0.5787269620532843
+2091,ZWE,123.073206,2.1322908209221343e-4,0.5209234834373132
+2092,ZWE,124.439732,1.9396334647092683e-4,0.4631200048213422
+2093,ZWE,125.806258,1.7469761084964026e-4,0.40531652620537106
+2094,ZWE,127.17278400000001,1.5543187522835364e-4,0.3475130475894
+2095,ZWE,128.53931,1.3616613960706707e-4,0.2897095689734289
+2096,ZWE,129.828052,1.1690040398578048e-4,0.23190609035745785
+2097,ZWE,131.116794,9.763466836449388e-5,0.17410261174148675
+2098,ZWE,132.405536,7.836893274320732e-5,0.11629913312551568
+2099,ZWE,133.694278,5.910319712192071e-5,0.05849565450954458
+2100,ZWE,134.98302,3.983746150063412e-5,6.921758935735175e-4
diff --git a/data/halfdeg/hilda_plus_2020_pv.txt b/data/halfdeg/hilda_plus_2020_pv.txt
index c2d62298ef390a69228cea6b9dbab184f8396599..9703fe744647708e8092f357cec8a12bed647c86 100644
--- a/data/halfdeg/hilda_plus_2020_pv.txt
+++ b/data/halfdeg/hilda_plus_2020_pv.txt
@@ -777,14 +777,14 @@
-81 -34 0 0 0.0144 0.0028 0 0.0028 0.98 0
-72 -30.5 0 0 0.0092 0.1436 0 0 0.8472 0
-71.5 -30.5 8e-04 0.016 0.2172 0.6684 4e-04 0.002 0.0952 0
--71 -30.5 0.000799776253856146 0.00119966438078422 0.359899314235266 0.635422233688708 0 0 0.00239932876156844 0.000279682679816951
+-71 -30.5 8e-04 0.0012 0.36 0.6356 0 0 0.0024 0
-70.5 -30.5 0 0 0.004 0.996 0 0 0 0
--72 -31 0 0 0.0768 0.3068 0 0 0.6164 0
--71.5 -31 0.00639642729667638 0.0171903983598178 0.294635432353156 0.673223972975189 0.000399776706042274 0.00119933011812682 0.00639642729667638 0.000558234894315697
+-72 -31 0 0 0.0767946293551402 0.30677854539267 0 0 0.616356894980578 6.99302716118638e-05
+-71.5 -31 0.00639955225402524 0.0171987966826928 0.294779375701037 0.673552874736156 0.000399972015876577 0.00119991604762973 0.00639955225402524 6.99603085570818e-05
-71 -31 4e-04 0.0072 0.198 0.7876 8e-04 8e-04 0.0052 0
-70.5 -31 0 0 0.0084 0.9916 0 0 0 0
-72 -31.5 0 0.0016 0.0396 0.224 0 0 0.7348 0
--71.5 -31.5 4e-04 0 0.1284 0.8684 0 0 0.0028 0
+-71.5 -31.5 0.00039997195069034 0 0.128390996171599 0.868339104948729 0 0 0.00279980365483238 7.01232741490581e-05
-71 -31.5 0 0 0.0572 0.9428 0 0 0 0
-70.5 -31.5 0 0 0.0028 0.9964 0 0 8e-04 0
-72 -32 8e-04 0.0016 0.0056 0.0616 0 0 0.9304 0
@@ -792,36 +792,36 @@
-71 -32 0 0 0.0216 0.9784 0 0 0 0
-70.5 -32 0 0 4e-04 0.9996 0 0 0 0
-72 -32.5 4e-04 0 0.002 0.0176 0 0 0.98 0
--71.5 -32.5 0.00599832866645543 0.0127964344884383 0.146359219461513 0.770585289350642 0.00599832866645543 0.000799777155527391 0.0571840666202085 0.00027855559076087
+-71.5 -32.5 0.006 0.0128 0.1464 0.7708 0.006 8e-04 0.0572 0
-71 -32.5 0 0.0088 0.0344 0.952 0.0016 0.0032 0 0
-70.5 -32.5 0 0 0.0044 0.9956 0 0 0 0
--72 -33 0.0096 0.0012 0.002 0.0072 0.0052 0 0.9748 0
--71.5 -33 0.0272 0.0564 0.1116 0.6764 0.0668 0.0132 0.0484 0
--71 -33 0.0108 0.1156 0.0364 0.8156 0.014 0.0072 4e-04 0
+-72 -33 0.00959932766706814 0.00119991595838352 0.0019998599306392 0.00719949575030111 0.00519963581966191 0 0.974731730193545 7.00346804016171e-05
+-71.5 -33 0.027196191904652 0.0563921038022931 0.111584375608793 0.676305301628919 0.0667906477658365 0.0131981519537282 0.0483932238303366 0.000140003505442236
+-71 -33 0.0107992457351723 0.11559192657277 0.0363974578481733 0.815543039037641 0.0139990222492974 0.00719949715678153 0.00039997206426564 6.98393358987236e-05
-70.5 -33 0 0 0 1 0 0 0 0
--72 -33.5 0.0416 0.0104 0.0884 0.0712 0.126 0 0.6624 0
--71.5 -33.5 0.0304 0.062 0.166 0.7192 0.0196 0.0028 0 0
--71 -33.5 0.182145052861369 0.17136014841563 0.0738965674985817 0.553625094881266 0.000798881810795478 0.00679049539176156 0.00998602263494348 0.00139773650565229
+-72 -33.5 0.0415970819612628 0.0103992704903157 0.0883937991676834 0.071195005664469 0.125991161709594 0 0.662353535844722 7.01451619529052e-05
+-71.5 -33.5 0.0303787281728307 0.0619566166682731 0.165883844627957 0.718696753351968 0.019586285269325 0.00279804075276072 0 0.000699731156885172
+-71 -33.5 0.182259658978733 0.171467968644466 0.0739430634014595 0.553973437159043 0.000799384469204968 0.00679476798824223 0.0099923058650621 0.000769413493790083
-70.5 -33.5 0.0012 0 0 0.9988 0 0 0 0
-79 -34 0 0 0.0024 0.0036 0.0028 0.0056 0.9856 0
--72 -34 0.0144 0.0664 0.204 0.062 0.1052 0.0032 0.5448 0
--71.5 -34 0.0104 0.1436 0.34 0.4412 0.044 0.0208 0 0
+-72 -34 0.0143989887488675 0.0663953370086668 0.20398567394229 0.0619956460020684 0.105192612248671 0.00319977527752611 0.54476174099882 7.02257730900394e-05
+-71.5 -34 0.0103992721028215 0.143589949419727 0.339976203361471 0.441169120362004 0.043996920435014 0.020798544205643 0 6.9990113319335e-05
-71 -34 0.146 0.2196 0.0168 0.5948 0.0116 0.0112 0 0
-70.5 -34 0 0 8e-04 0.9928 0.002 0 0.0044 0
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--72 -34.5 0.00159955376797528 0.0651818160449926 0.546647500205551 0.0363898482214376 0.291518674213494 0.00959732260785166 0.048786389923246 0.000278895015451452
--71.5 -34.5 0.0103970879795865 0.266725295476314 0.0875754718280553 0.472667615071969 0.108369647787228 0.0215939519576027 0.032390927936404 0.000280001962839621
--71 -34.5 0.0336 0.2728 0.008 0.6468 0.0132 0.0056 0.02 0
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-70.5 -34.5 0 0 0.0072 0.9896 0.0032 0 0 0
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--72 -35 0.0036 0.088 0.5472 0.1096 0.2444 0.0064 8e-04 0
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--72 -35.5 0.0296 0.1484 0.336 0.0864 0.3756 0.024 0 0
--71.5 -35.5 0.0084 0.1404 0.262 0.2068 0.3568 0.0248 8e-04 0
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-73 -36 0.0012 0.0288 0.0072 0.008 0.206 0.0024 0.7464 0
@@ -832,7 +832,7 @@
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--72 -36.5 0.01 0.4888 0.2 0.0392 0.2396 0.0192 0.0032 0
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@@ -847,7 +847,7 @@
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--72.5 -37.5 0.0188 0.1364 0.2048 0.124 0.4784 0.0376 0 0
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-71 -37.5 0 0 0.75 0.2492 0 0 8e-04 0
@@ -953,7 +953,7 @@
-60.5 -31.5 0.0064 0.0224 0.6804 0.2176 0.0048 8e-04 0.0676 0
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--69 -32 0.0348 0.0064 0.208 0.7476 0 0 0.0032 0
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-68.5 -32 0.0076 0.0124 0 0.98 0 0 0 0
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@@ -973,7 +973,7 @@
-60.5 -32 0.0236 0.4268 0.1252 0.3764 0.0076 0 0.0404 0
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--69 -32.5 0 4e-04 0.0708 0.9276 0 0.0012 0 0
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@@ -1018,7 +1018,7 @@
-68 -33.5 0.0012 0 0.0012 0.9976 0 0 0 0
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--66.5 -33.5 0.0247930777983431 0.181149423268539 0.154756792063851 0.635822479022024 0.000399888351586179 0 0.00279921846110325 0.000279121034553167
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-65.5 -33.5 4e-04 0.586 0.282 0.1312 0 0 4e-04 0
-65 -33.5 0.0032 0.8672 0.0876 0.042 0 0 0 0
@@ -1037,8 +1037,8 @@
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--67 -34 0 8e-04 8e-04 0.99 0 0 0.0084 0
--66.5 -34 0 0.1892 0.1988 0.612 0 0 0 0
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@@ -1289,7 +1289,7 @@
-59 -30.5 8e-04 0.034 0.7976 0.1404 0.0256 0 0.0016 0
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--57.5 -30.5 0 0.229935945674188 0.639021984673657 0.00919743782696752 0.0883753808591227 0.00439877461289751 0.0287919792844201 0.000278497068747317
+-57.5 -30.5 0 0.23 0.6392 0.0092 0.0884 0.0044 0.0288 0
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@@ -1308,8 +1308,8 @@
-59.5 -31 0 0.0448 0.3532 0.4952 0.1064 4e-04 0 0
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-58.5 -31 4e-04 0.0372 0.84 0.094 0.0124 4e-04 0.0156 0
--58 -31 0.0112 0.036 0.6884 0.0988 0.0344 0.0056 0.1256 0
--57.5 -31 0 0.0183948709159924 0.954933733638908 0 0.0255928638831198 0 0.000799776996347494 0.00027875456563285
+-58 -31 0.0111976473188797 0.0359924378106849 0.68825539413543 0.0987792459915463 0.0343927739079878 0.00559882365943987 0.125573616361723 0.000210060814308533
+-57.5 -31 0 0.0184 0.9552 0 0.0256 0 8e-04 0
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-56 -31 0.014 0.0056 0.8252 0.0052 0.148 0.002 0 0
@@ -1328,7 +1328,7 @@
-59.5 -31.5 0.0028 0.0476 0.3396 0.5628 0.0468 0 4e-04 0
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@@ -29575,9 +29575,9 @@
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@@ -29585,132 +29585,132 @@
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--7 38.5 0.0147591160653981 0.675329283749164 0.241730387449494 0.00438784531673999 0.0530530388296744 0.0035900552591509 0.00438784531673999 0.002762428013639
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--5 38.5 4e-04 0.0936 0.5124 0.0028 0.3048 0.086 0 0
--4.5 38.5 0.00879756680049921 0.353102340220037 0.3031161652172 0.0407887188023145 0.221138838212548 0.0715802026040618 0.00119966820006807 0.000276499943271518
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--2.5 38.5 0.000399779701326 0.38378851327296 0.023187222676908 0.142721353373382 0.428563839821472 0.020788544468952 0 0.000550746685000331
--2 38.5 0.0103856588319148 0.725797772984202 0.0583194688253679 0.103057691485924 0.0818869254054823 0.0175757303309328 0.00159779366644844 0.00137895846972758
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--1 38.5 0.0235935049991708 0.180750241688562 0.0331908629649351 0.194746388721969 0.539051605743766 0.028392183982053 0 0.000275211899544111
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--9.5 38 0.0116 0.0028 0 0.0152 0.0176 8e-04 0.952 0
--9 38 0.0076 0.1224 0.0588 0.2072 0.1592 0.0124 0.4324 0
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--7 38 0.0016 0.01 0.572 0.0272 0.3792 0.0092 8e-04 0
--6.5 38 0.00679812825021366 0.444677565543388 0.360300797261324 0.000399889897071392 0.179550563785055 0.00799779794142784 0 0.000275257321520303
--6 38 0.0028 0.4712 0.3212 0.0072 0.1676 0.0292 8e-04 0
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--5 38 0.0024 0.1 0.4044 0.0096 0.398 0.0764 0.0092 0
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--4 38 0.01 0.06 0.1772 0.0688 0.6068 0.0684 0.0088 0
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@@ -36916,14 +36916,14 @@
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--0.5 46.5 0.0143960488760962 0.559446454934959 0.373497490285384 0.00959736591739743 0.0407888051489391 0.00159956098623291 0.000399890246558226 0.000274383604433761
--2 46 0.0148 0.0296 0.0216 0.0108 0.004 0 0.9192 0
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--1.5 45 0.00359900723235693 0.0107970216970708 0.0215940433941416 0.0187948155467529 0.252730285649953 0.00319911753987283 0.68900994015011 0.000275768789741325
--1 45 0.0236 0.162 0.1928 0.1872 0.2512 0.0136 0.1696 0
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--1 44.5 0.15336399565761 0.0697109071170953 0.0191207059521176 0.0665241227917423 0.600708845329027 0.0732960394831173 0.0131454853420808 0.00412989832721054
--0.5 44.5 0.122766180063209 0.0571842467395404 0.178750757290731 0.43827926172403 0.159556045098438 0.035190305685871 0.00799779674678887 0.000275406651391286
--1.5 44 0.0159955865998302 0.0235934902347496 0.0143960279398472 0.0871759469690747 0.384293968060921 0.0227937109047581 0.451475431780208 0.00027583751061138
--1 44 0.0103770666210064 0.159647178784714 0.0522844510519939 0.221111342616829 0.424262377620378 0.129314214815618 0.00079823589392357 0.00220513259553685
--0.5 44 0.00759159088229302 0.0731190069189275 0.0323641506034597 0.138246865540704 0.700424148245246 0.0471477749531882 0 0.0011064628561815
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@@ -36970,9 +36970,9 @@
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--1 43.5 0.0295837252298849 0.432562036469398 0.013192742332246 0.168707189824479 0.258657705726156 0.0963469970324629 0.00039978007067412 0.00054982331469977
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@@ -37035,52 +37035,52 @@
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--4.5 41.5 0.0028 0.9248 4e-04 0.0072 0.0628 0.002 0 0
--4 41.5 0.0032 0.8296 0.0176 0.01 0.1308 0.0076 0.0012 0
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@@ -37089,62 +37089,62 @@
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--4 53 0.012 0.0016 0.4712 0.0068 0.0516 0.0396 0.4172 0
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--2 53 0.0347903888636669 0.00839768007054029 0.783783473250427 0.0427881794070386 0.030791493591981 0.0979729341563033 0.00119966858150576 0.000276182078537275
--1.5 53 0.227498312760725 0.40231280572423 0.0614644564300907 0.0538811793380665 0.0447014228582478 0.207941440260242 0 0.00220038262839764
--1 53 0.0559384043506916 0.845469025757596 0.0063929604972219 0.0559384043506916 0.00599340046614553 0.0275696421442694 0.00159824012430547 0.00109992230907861
--0.5 53 0.0199834931126695 0.929232429739133 0.00239801917352034 0.0203831629749229 0.00959207669408137 0.0175854739391492 0 0.000825344366524175
+-2 53 0.0347976111514891 0.00839942338139391 0.783946182263432 0.0427970619909118 0.0307978857317777 0.097993272782929 0.00119991762591342 6.86450721535262e-05
+-1.5 53 0.227781465101897 0.40281353828546 0.0615409572380564 0.0539482417346598 0.0447570598094956 0.208200251435243 0 0.000958486395188331
+-1 53 0.0559770702771187 0.846053433617023 0.00639737946024214 0.0559770702771187 0.00599754324397701 0.0275886989222942 0.00159934486506054 0.000409459337165345
+-0.5 53 0.0199959107724393 0.929809850918427 0.00239950929269271 0.0203958289878881 0.00959803717077086 0.0175964014797466 0 0.000204461378035501
-10 52.5 0.0016 0 0.1052 0.0512 0.0012 8e-04 0.84 0
-9.5 52.5 0.008 0 0.4552 0.252 0.0648 0.0684 0.1516 0
-9 52.5 0.0416 0.0016 0.5204 0.2264 0.088 0.08 0.042 0
@@ -45535,16 +45535,16 @@
-7.5 52.5 0.0068 0.1152 0.7516 0.0356 0.0424 0.0484 0 0
-7 52.5 0.0148 0.4128 0.4988 0.0156 0.028 0.03 0 0
-6.5 52.5 0.0096 0.1124 0.3524 0.0524 0.1116 0.0824 0.2792 0
--5 52.5 0.0016 0 0.0896 0.0128 0 4e-04 0.8956 0
--4.5 52.5 0.0044 0 0.2792 0.0256 0.0136 0.0176 0.6596 0
+-5 52.5 0.00159978260840686 0 0.0895878260707844 0.0127982608672549 0 0.000399945652101716 0.895478315055742 0.000135869745710078
+-4.5 52.5 0.00439970050555459 0 0.2791809957161 0.0255982574868631 0.013599074289896 0.0175988020222184 0.659555103059956 6.80669194113942e-05
-4 52.5 0 0 0.754 4e-04 0.1256 0.1084 0.0116 0
--3.5 52.5 0.0111938716824955 0.0491730791766765 0.843538187502337 0.00559693584124773 0.027584898074721 0.061566294253725 0.00079956226303539 0.000547171205762192
--3 52.5 0.019173604629546 0.477342865256405 0.411433599342341 0.0459367610916206 0.0107851526041196 0.0339532581981544 0 0.00137475887781319
--2.5 52.5 0.156356882587424 0.409087188969142 0.21354111330354 0.0871759601126812 0.0179950376379388 0.115568130608096 0 0.000275686781178751
--2 52.5 0.153473689297144 0.372093762332399 0.216621717705865 0.0795345421097179 0.0267779614138246 0.147478623308974 0.00319736852702384 0.000822335305051303
--1.5 52.5 0.241933537760341 0.432281246808146 0.0667816542247552 0.0931744037986105 0.0107970339165772 0.152758035412314 0.00199945072529207 0.000274637353964124
--1 52.5 0.0375793868168226 0.77677392111794 0.0943482477528738 0.0547699573819649 0.00999451777043155 0.0175903512759595 0.0083953949271625 0.00054822295684522
--0.5 52.5 0.0627827198038793 0.886555986020384 0.00399889935056556 0.0239933961033933 0.00439878928562211 0.0167953772723753 0.00119966980516967 0.000275162358610471
+-3.5 52.5 0.0111900791456619 0.0491564191041578 0.843252392762382 0.00559503957283097 0.0275755521803812 0.0615454353011407 0.000799291367547282 0.000885790565898137
+-3 52.5 0.0191934465952759 0.477836847528223 0.411859374856962 0.0459842991345152 0.0107963137098427 0.0339883950124677 0 0.000341323162713829
+-2.5 52.5 0.156346472859296 0.409059953286598 0.213526896436992 0.0871701562233415 0.017993839587387 0.115560436461219 0 0.00034224514516673
+-2 52.5 0.153463750310776 0.372069665467012 0.216607689240731 0.0795293914370949 0.0267762272677656 0.147469072564261 0.00319716146480784 0.000887042247551638
+-1.5 52.5 0.241686327898441 0.431839537947463 0.0667134161306441 0.0930791973559286 0.0107860014103437 0.152601945879677 0.00199740766858216 0.0012961657089204
+-1 52.5 0.0375666322812872 0.776510282154691 0.0943162257274869 0.0547513683248547 0.00999112560672531 0.0175843810678365 0.00839254550964926 0.000887439327468944
+-0.5 52.5 0.0627571546703478 0.886194980281281 0.00399727099811133 0.023983625988668 0.00439699809792246 0.0167885381920676 0.0011991812994334 0.000682250472168499
-10 52 0.0084 0.006 0.5464 0.1328 0.0296 0.0284 0.2484 0
-9.5 52 0.008 0.0016 0.5132 0.228 0.126 0.1224 8e-04 0
-9 52 0.0056 0.0524 0.7116 0.1012 0.0796 0.0496 0 0
@@ -45557,57 +45557,57 @@
-5 52 0.0016 0.0036 0.1368 0.0104 0.0064 0.0052 0.836 0
-4.5 52 0.0012 0 0.522 0.0108 0.0152 0.0164 0.4344 0
-4 52 0 0 0.76 0.0344 0.1036 0.1012 8e-04 0
--3.5 52 4e-04 0.0332 0.9004 8e-04 0.022 0.0432 0 0
--3 52 0.0203944067916281 0.51026006011995 0.318712592410345 0.049186510497456 0.0291919940350755 0.0719802592645698 0 0.000274176880975499
--2.5 52 0.108370111519611 0.409087173743772 0.210741877383155 0.116367905727701 0.026392720886695 0.128764486750239 0 0.00027572398882598
--2 52 0.133452721998435 0.439914511737357 0.116671241986656 0.149035524866516 0.00359603143109556 0.155828028680808 0.000399559047899507 0.00110238025123375
--1.5 52 0.086 0.6476 0.1584 0.0692 0.0052 0.0304 0.0032 0
--1 52 0.121265597349433 0.654594885692169 0.026726299415829 0.0718019984305852 0.014360399686117 0.104910697706911 0.00359009992152926 0.00275002179742726
--0.5 52 0.0718812214538824 0.842208311367989 0.00399340119188236 0.0439274131107059 0.0055907616686353 0.0239604071512941 0.0067887820262 0.00164970202941107
+-3.5 52 0.000399836581110666 0.0331864362321853 0.90003214408011 0.000799673162221332 0.0219910119610866 0.043182350759952 0 0.000408547223334409
+-3 52 0.0203847124042053 0.510017510348353 0.318561093846111 0.0491631299160247 0.029178117755039 0.0719460437795483 0 0.000749391950718487
+-2.5 52 0.10839261187412 0.409172110506365 0.210785632685097 0.116392066624978 0.02639820067783 0.128791221488807 0 6.81561428036313e-05
+-2 52 0.133518066587276 0.440129914109552 0.116728369591271 0.149108499512137 0.00359779221342958 0.155904329248615 0.000399754690381065 0.000613274047337665
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+-1 52 0.12146667993496 0.655680334780489 0.0267706169593496 0.071921060487805 0.014384212097561 0.105084660601626 0.00359605302439025 0.00109638211381943
+-0.5 52 0.071847223753451 0.841809971644601 0.00399151243074728 0.04390663673822 0.00558811740304619 0.0239490745844837 0.00678557113227037 0.00212189231318067
-10 51.5 0.0024 0 0.3972 0.22 0.0336 0.0548 0.292 0
-9.5 51.5 0.0024 4e-04 0.544 0.1588 0.1068 0.1328 0.0548 0
-9 51.5 0.0244 0.04 0.6064 0.0912 0.0064 0.0204 0.2112 0
-8.5 51.5 0.0504 0.1268 0.1332 0.0988 0.004 0.0152 0.5716 0
-8 51.5 0.0028 0.0112 0.0628 0.032 0 0.0016 0.8896 0
--5.5 51.5 0.0108 0.03 0.136 0.0412 4e-04 0 0.7816 0
--5 51.5 0.011181542644424 0.011181542644424 0.534318002079976 0.047521556238802 0.0123795650706123 0.0207657220539303 0.361004091091404 0.00164797817642822
--4.5 51.5 0.0235870319060115 0.00519714262335848 0.50692129587835 0.041177360785071 0.0547698876461624 0.0795562601575644 0.288241525495497 0.000549495507985506
--4 51.5 0.0543699422786644 0.00159911594937248 0.538502295951183 0.0147918225316955 0.124731044051054 0.169906069620826 0.0955471779750058 0.000552531642198985
--3.5 51.5 0.0807554371223146 0.0075958084421979 0.537303502437578 0.0223876459348991 0.0779569813804522 0.268651751218789 0.00479735270033552 0.000551520763433672
--3 51.5 0.0822864703552623 0.174559162841018 0.39864998744928 0.0635123727499355 0.0930715902561947 0.0862809592074595 0.10026167019015 0.00137778695070036
--2.5 51.5 0.09743891067483 0.339039488372667 0.258772189005286 0.160135258936913 0.0331452032213561 0.0958415514834393 0.0139768929246682 0.0016505053808408
--2 51.5 0.069465614485174 0.586066218759974 0.122163666853237 0.160888750790374 0.0103799194058306 0.0439150436400526 0.0051899597029153 0.00193082636244174
--1.5 51.5 0.0866327557545385 0.620801544692661 0.0774504821031358 0.125357996806106 0.0207599230379539 0.0654736034273932 0.00159691715676569 0.00192677702144532
--1 51.5 0.09 0.3376 0.1028 0.1728 0.0476 0.2488 4e-04 0
--0.5 51.5 0.267526749102328 0.348304631491969 0.000399890506879414 0.0691810576901385 0.0139961677407795 0.295918975090766 0.00439879557567355 0.000273732801466111
+-5.5 51.5 0.0107962936430977 0.0299897045641602 0.135953327357526 0.04118586093478 0.000399862727522136 0 0.781331769578253 0.000343181194660768
+-5 51.5 0.0111976942486928 0.0111976942486928 0.535089818026822 0.0475902005569446 0.0123974472039099 0.0207957178904296 0.361525557172083 0.00020587065242492
+-4.5 51.5 0.0235935159525771 0.00519857131158479 0.507060647929963 0.0411886803917872 0.0547849438220859 0.0795781300773364 0.28832076274251 0.000274747772155253
+-4 51.5 0.0543962634302987 0.00159989010089114 0.538762991475091 0.014798983433243 0.124791427869509 0.169988323219683 0.0955934335282455 6.86869430388132e-05
+-3.5 51.5 0.0807944552161172 0.00759947846092192 0.537563107972582 0.0223984628321909 0.0779946473620934 0.268781553986291 0.00479967060689805 6.86235629054888e-05
+-3 51.5 0.0823774288017276 0.174752118380364 0.399090650214195 0.0635825785411393 0.093174470440789 0.0863763331124911 0.100372498200163 0.000273922309130685
+-2.5 51.5 0.0975068715301174 0.339275958725695 0.258952675211132 0.160246948703185 0.0331683210532776 0.095908398226345 0.0139866414080086 0.000954185142239499
+-2 51.5 0.0695667258765178 0.586919273486943 0.122341483438014 0.161122934070326 0.0103950280045371 0.0439789646345802 0.00519751400226857 0.000478076486813757
+-1.5 51.5 0.0866874877781632 0.621193748825087 0.0774994130366989 0.125437194296513 0.0207730385459193 0.0655149677217455 0.00159792604199379 0.00129622375387982
+-1 51.5 0.0899261095117319 0.337322828568452 0.102715600642289 0.172658130262525 0.0475609201417604 0.24859573385021 0.00039967159782992 0.000821005425200892
+-0.5 51.5 0.267180253461022 0.347853513848356 0.000399372576174921 0.0690914556782613 0.0139780401661222 0.295535706369441 0.00439309833792413 0.00156855956269759
-10 51 0 0 0 0.0176 0 0 0.9824 0
-9.5 51 0 0 0.0044 0.0116 0 0 0.984 0
-5 51 0 4e-04 0 0.0024 0 0 0.9972 0
--4.5 51 0.013596249174513 0.0175951459905463 0.129164367157874 0.0203943737617696 0.0031991174528266 0.00719801426885985 0.808576936201923 0.000275795991687937
--4 51 0.00839770004623029 0.019594633441204 0.43348127857684 0.0131963857869333 0.019594633441204 0.0175951810492444 0.487866383638141 0.000273804020203175
--3.5 51 0.0654556869713296 0.143683215302919 0.230691384569686 0.0478944051009729 0.0319296034006486 0.0287366430605837 0.449409167864129 0.00219989372973153
--3 51 0.110278428147014 0.0998898805679478 0.584555581083631 0.0683246783084763 0.0187792975467742 0.0399559522271791 0.0771149877984557 0.00110119432052158
--2.5 51 0.087359449641124 0.305957524542201 0.325902604368942 0.161156245000064 0.0351033404950635 0.0817748272896366 0 0.00274600866296788
--2 51 0.034752115417632 0.661488541742513 0.105454695060401 0.111446439097923 0.0271625729701032 0.0583196419652215 0 0.00137599374620673
--1.5 51 0.0335722833389279 0.585516608232493 0.0047960404769897 0.127894412719725 0.0427646942531582 0.204231390311811 0.000399670039749142 0.000824900627145621
--1 51 0.0868 0.1336 0.0096 0.1508 0.1832 0.4308 0.0052 0
--0.5 51 0.239933689793125 0.0483866274416136 0.0131963529386219 0.186748388555649 0.130763860937253 0.375496224526241 0.00519856327885105 0.000276292528643767
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+-2.5 51 0.0873243945201024 0.305834751584103 0.325771827958556 0.161091577105577 0.0350892544190366 0.0817420131352557 0 0.00314618127736971
+-2 51 0.0347359204179383 0.661180278300067 0.105405551613054 0.11139450340925 0.027149914809423 0.0582924641496436 0 0.00184136730062371
+-1.5 51 0.0335839108722043 0.585719397949754 0.00479770155317205 0.127938708084588 0.0427795055157841 0.204302124472576 0.000399808462764337 0.000478843089157103
+-1 51 0.0867940584523688 0.133590854945121 0.00959934287030807 0.150789677587756 0.183187459775046 0.430770511305075 0.0051996440547502 6.84510095758256e-05
+-0.5 51 0.239983661761544 0.0483967051219115 0.0131991013968849 0.186787283404402 0.130791095660042 0.375574430656817 0.00519964600483346 6.80759935649053e-05
-5.5 50.5 0 0.0016 4e-04 0.002 0 0 0.996 0
--5 50.5 0.00679436973745407 0.035970192727698 0.281766509700301 0.0303748294145006 0.00279768165659874 0.00519569450511194 0.63627274247217 0.000827979786165607
--4.5 50.5 0.00319824407299912 0.021588147492744 0.866324363273636 0.0255859525839929 0.0379791483668645 0.0395782704033641 0.00519714661862357 0.000548727187775717
--4 50.5 0.0339906383569448 0.0783784131524845 0.705005828509338 0.0363899775350821 0.0587838098643634 0.0835769813717819 0.00359900876720592 0.000275342442799891
--3.5 50.5 0.0439879495557206 0.111569435691328 0.411887164021748 0.0579841153234499 0.0247932079314062 0.0307915646890044 0.318712689053721 0.00027387373362233
--3 50.5 0.0279692575532717 0.144641017632634 0.344820989549621 0.0807112860822983 0.0083907772659815 0.00958945973255029 0.382779267657632 0.00109794452601143
--2.5 50.5 0.0351903079460134 0.310314533705755 0.211941627402126 0.118367399454772 0.0271925106855558 0.0619829287685464 0.234735349594431 0.000275342442799891
--2 50.5 0.0783354312321703 0.093522912797591 0.0443634329937291 0.105113359255412 0.122299193658388 0.125896228765988 0.429645860074403 0.000823581222318042
--1.5 50.5 0.13461488099498 0.115840698779063 0.0411434206008397 0.105055530272047 0.0431406740280649 0.121832459060739 0.43699904987688 0.00137328638738677
--1 50.5 0.0567375811027964 0.177404831053814 0.0171810985029595 0.0651283501391254 0.0439516473331521 0.0659274709997282 0.572570096621882 0.00109892424654249
--0.5 50.5 0.074 0.0688 0.0512 0.124 0.0132 0.0404 0.6284 0
+-5 50.5 0.00679626407283214 0.0359802215620525 0.281845068902744 0.0303832982079554 0.00279846167704853 0.00519714311451869 0.63645014140875 0.00054940105409775
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+-4 50.5 0.0339696953283123 0.0783301209923437 0.704571445456643 0.0363675561750167 0.0587475907442578 0.0835254861602033 0.0035967912700566 0.000891313873166685
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+-3 50.5 0.0279694086704587 0.144641799124372 0.344822852608655 0.0807117221633237 0.00839082260113761 0.00958951154415727 0.382781335804278 0.00109254748361797
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+-2 50.5 0.0782822330941803 0.0934594007348887 0.0443333054768062 0.10504197603964 0.122216139422547 0.125810731758504 0.429354084572673 0.00150212890076145
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+-1 50.5 0.0567649606877104 0.177490440460165 0.017189389504025 0.0651597788175831 0.0439728568707616 0.0659592853061424 0.57284639905274 0.000616889300872485
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-6 50 0.004 0.0132 0.0512 0.0244 4e-04 0.0016 0.9052 0
--5.5 50 0.0519427948483075 0.0871040713610079 0.164219143712726 0.130656107041512 0.00359603964334436 0.0247727175430389 0.536609026779053 0.00110009907101048
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48.5 53 0.034 0.528 0.0028 0.2136 0.1064 0 0.1152 0
49 53 0.032 0.3548 0.0012 0.2232 0.104 0.0016 0.2832 0
-49.5 53 0.0699806672545024 0.0707804463088396 0 0.343505103837815 0.355901679180041 0.0503860804232417 0.109169840917024 0.000276182078537275
+49.5 53 0.07 0.0708 0 0.3436 0.356 0.0504 0.1092 0
40 52.5 0.0216 0.7432 0 0.0812 0.1536 4e-04 0 0
40.5 52.5 0.0164 0.922 0 0.0504 0.0112 0 0 0
41 52.5 0.064 0.8404 0 0.0548 0.0344 0.0036 0.0028 0
@@ -47222,7 +47222,7 @@
48 52.5 0.0104 0.628 0 0.1132 0.0152 0 0.2332 0
48.5 52.5 0.0168 0.82 0.0132 0.09 4e-04 0 0.0596 0
49 52.5 0.018 0.892 0.0108 0.0788 4e-04 0 0 0
-49.5 52.5 0.0348 0.814 8e-04 0.1436 0.006 8e-04 0 0
+49.5 52.5 0.0347881219388627 0.813722162592937 0.00079972694112328 0.143550985931629 0.0059979520584246 0.00079972694112328 0 0.000341323595900178
40 52 0.0048 0.9784 0 0.014 0.0024 0 4e-04 0
40.5 52 0.0068 0.9732 0 0.018 0.0012 0 8e-04 0
41 52 0.006 0.9676 0 0.01 0.0164 0 0 0
@@ -47240,7 +47240,7 @@
47 52 0.0244 0.4128 0.0304 0.3196 0.1956 4e-04 0.0168 0
47.5 52 0.0312 0.4824 4e-04 0.2196 0.132 0 0.1344 0
48 52 0.016 0.7152 0 0.0756 0.0296 0 0.1636 0
-48.5 52 0.0171952486973465 0.926144092629176 0 0.0507859670828607 0.00559845306425236 0 0 0.000276238526363963
+48.5 52 0.0172 0.9264 0 0.0508 0.0056 0 0 0
49 52 0.0116 0.918 0 0.0648 0.0056 0 0 0
49.5 52 0.0124 0.8968 4e-04 0.0796 0.0108 0 0 0
40 51.5 0.0028 0.9372 0 0.0492 0.0108 0 0 0
@@ -47260,7 +47260,7 @@
47 51.5 0.0132 0.758 0.0068 0.1388 0.0472 0 0.036 0
47.5 51.5 0.0312 0.7448 0.0328 0.1864 0.0028 0 0.002 0
48 51.5 0.0064 0.7632 0.02 0.2068 0.0036 0 0 0
-48.5 51.5 0.0164 0.8392 0 0.1364 0.0076 0 4e-04 0
+48.5 51.5 0.016397759559312 0.839085355010648 0 0.136381366090863 0.00759896174699824 0 0.000399945355105171 0.000136612237073294
49 51.5 0.002 0.8864 0.0176 0.0932 0 0 8e-04 0
49.5 51.5 0.0048 0.7928 0.0196 0.1828 0 0 0 0
40 51 0.026 0.6332 0 0.1276 0.2112 0.002 0 0
@@ -47298,8 +47298,8 @@
46 50.5 0.0044 0.694 0.0284 0.2004 0 0 0.0728 0
46.5 50.5 0.0112 0.6692 0.0132 0.3032 0.0032 0 0 0
47 50.5 0.0068 0.806 0.0168 0.1704 0 0 0 0
-47.5 50.5 8e-04 0.712 0.0504 0.2368 0 0 0 0
-48 50.5 0.000799780901013102 0.6226294314387 0.0567844439719303 0.319512469954734 0 0 0 0.00027387373362233
+47.5 50.5 0.000799890450499309 0.711902500944385 0.0503930983814565 0.236767573347796 0 0 0 0.000136936875863533
+48 50.5 8e-04 0.6228 0.0568 0.3196 0 0 0 0
48.5 50.5 4e-04 0.4352 0.2444 0.32 0 0 0 0
49 50.5 0 0.1144 0.748 0.1376 0 0 0 0
49.5 50.5 0 0.0184 0.9692 0.0124 0 0 0 0
@@ -47318,8 +47318,8 @@
46 50 0.002 0.4976 0.138 0.3192 0 0 0.0432 0
46.5 50 0.0132 0.6188 0.0732 0.2948 0 0 0 0
47 50 4e-04 0.4028 0.3752 0.2216 0 0 0 0
-47.5 50 0 0.0408 0.832 0.1272 0 0 0 0
-48 50 0.0107970414264082 0.0363900285112277 0.74859487223097 0.203944115832155 0 0 0 0.000273941999238854
+47.5 50 0 0.0407972082498901 0.831943070193837 0.127191296308481 0 0 0 6.84252477925705e-05
+48 50 0.0108 0.0364 0.7488 0.204 0 0 0 0
48.5 50 0.0088 0.0128 0.9004 0.078 0 0 0 0
49 50 0 0 0.9992 8e-04 0 0 0 0
49.5 50 0 4e-04 0.9972 0.0024 0 0 0 0
@@ -47589,7 +47589,7 @@
51.5 53 0.0176 0.7364 0 0.0996 0.1436 4e-04 0.0024 0
52 53 0.0032 0.6884 0 0.0356 0.2728 0 0 0
52.5 53 0.0016 0.9308 0 0.0516 0.016 0 0 0
-53 53 0.00079977905433717 0.934941714520152 0 0.0623827662382993 0.00079977905433717 0 0.00079977905433717 0.000276182078537275
+53 53 8e-04 0.9352 0 0.0624 8e-04 0 8e-04 0
53.5 53 0.0012 0.8096 0.002 0.1812 0.006 0 0 0
54 53 0.0076 0.7564 8e-04 0.2104 0.0248 0 0 0
54.5 53 0.0016 0.656 0 0.2808 0.0492 0.0124 0 0
@@ -47609,12 +47609,12 @@
51.5 52.5 0.006 0.8488 0 0.0984 0.0468 0 0 0
52 52.5 0.0416 0.6192 0 0.146 0.1916 0 0.0016 0
52.5 52.5 0.02 0.6796 0 0.2028 0.0972 4e-04 0 0
-53 52.5 0.00759791275610987 0.798180729536595 0 0.190347709047805 0.00359901130552573 0 0 0.000274637353964124
+53 52.5 0.0075979207542289 0.798181569760047 0 0.190347909421735 0.00359901509410843 0 0 0.000273584969881523
53.5 52.5 0.0012 0.7752 0.0112 0.2124 0 0 0 0
54 52.5 0.0068 0.7848 0.0084 0.1996 4e-04 0 0 0
54.5 52.5 0.0056 0.8748 0 0.1196 0 0 0 0
55 52.5 0.0016 0.8568 0 0.1416 0 0 0 0
-55.5 52.5 0.0411886849410167 0.669815992972844 0 0.249531450516451 0.0331908820398484 0.00239934087035049 0.00359901130552573 0.000274637353964124
+55.5 52.5 0.041194347882172 0.669908084491631 0 0.24956575804345 0.0331954453807793 0.00239967075041778 0.00359950612562668 0.000137187325923292
56 52.5 0.0064 0.5196 0.002 0.2788 0.0796 0.1136 0 0
56.5 52.5 0.008 0.132 4e-04 0.272 0.1924 0.39 0.0052 0
57 52.5 0.0028 0 0 0.0608 0.8776 0.0588 0 0
@@ -47628,15 +47628,15 @@
51 52 0.0072 0.8572 0.0028 0.1324 0 0 4e-04 0
51.5 52 0.0068 0.8216 0 0.1708 8e-04 0 0 0
52 52 0.0076 0.8612 0.0012 0.13 0 0 0 0
-52.5 52 0.0036 0.8756 0 0.1204 4e-04 0 0 0
-53 52 0.0167908050234316 0.698017751688371 0.000399781071986467 0.272650691094771 0.0023986864319188 0 0.00919496465568874 0.000547320033832416
-53.5 52 0.0151916023487985 0.682422768668397 0.00999447522947272 0.291838676700603 0 0 0 0.000552477052727927
+52.5 52 0.00359827757126943 0.875181067056532 0 0.120342394328011 0.000399808619029937 0 0 0.000478452425157344
+53 52 0.0168 0.6984 4e-04 0.2728 0.0024 0 0.0092 0
+53.5 52 0.0152 0.6828 0.01 0.292 0 0 0 0
54 52 0.002 0.7632 0.0088 0.226 0 0 0 0
54.5 52 0.004 0.8084 0.0032 0.1844 0 0 0 0
55 52 0.0052 0.8856 4e-04 0.0932 0.0156 0 0 0
55.5 52 0.0104 0.8736 0 0.096 0.02 0 0 0
56 52 0.0036 0.7804 8e-04 0.1312 0.0444 0.0396 0 0
-56.5 52 0.00559845883033908 0.231936151542619 0.000799779832905583 0.467871202249766 0.18474914140119 0.108770057275159 0 0.000275208868021905
+56.5 52 0.0056 0.232 8e-04 0.468 0.1848 0.1088 0 0
57 52 0.0052 0.0096 0 0.4452 0.4952 0.0448 0 0
57.5 52 0.0032 0.1464 0 0.306 0.5296 0.0148 0 0
58 52 0.0088 0.404 0.0628 0.5244 0 0 0 0
@@ -47649,8 +47649,8 @@
51.5 51.5 0.0076 0.65 0.018 0.324 0 0 4e-04 0
52 51.5 8e-04 0.7944 0.0524 0.152 4e-04 0 0 0
52.5 51.5 0.0084 0.7432 0.0016 0.2204 0.0264 0 0 0
-53 51.5 0.016 0.632 8e-04 0.2896 0.0616 0 0 0
-53.5 51.5 0.0104 0.6572 0.0064 0.2484 0.0776 0 0 0
+53 51.5 0.0159923568376304 0.631698095086399 0.000799617841881518 0.28946165876111 0.0615705738248769 0 0 0.000477697648102432
+53.5 51.5 0.0103992876343845 0.657154983972836 0.0063995616211597 0.248382985421261 0.0775946846565613 0 0 6.849669379772e-05
54 51.5 0.0188 0.7244 0.0012 0.1984 0.0556 0 0.0016 0
54.5 51.5 0.0472 0.69 0.0128 0.1848 0.0652 0 0 0
55 51.5 0.1376 0.638 0.0012 0.1696 0.0504 0.0032 0 0
@@ -47673,13 +47673,13 @@
53.5 51 0.0012 0.4616 0.3516 0.1804 0.0052 0 0 0
54 51 0.0096 0.5352 0.1148 0.338 0 0 0.0024 0
54.5 51 0.016 0.56 0.032 0.392 0 0 0 0
-55 51 0.0159911586390834 0.731195728772088 0.0227874010606938 0.229473126470847 0 0 0 0.000552585057287533
+55 51 0.0159978235723297 0.731500482844776 0.0227968985905698 0.229568768262931 0 0 0 0.000136026729393089
55.5 51 0.008 0.5664 0.0368 0.3888 0 0 0 0
56 51 0.0088 0.4036 0.1108 0.4764 4e-04 0 0 0
56.5 51 0.0044 0.42 0.0748 0.4968 0.004 0 0 0
57 51 0.016 0.3712 0.032 0.5756 0.0052 0 0 0
57.5 51 0.0136 0.2344 0.1512 0.5988 0.002 0 0 0
-58 51 0.0551696619509896 0.248663258938518 0.205487001759483 0.488531354377603 0 0 0.00159912063626057 0.000549602337145702
+58 51 0.055173454205361 0.248680351563294 0.205501126533011 0.488564935064864 0 0 0.00159923055667713 0.000480902076793073
58.5 51 0.0612 0.4384 0.0512 0.4456 0.0016 0 0.002 0
59 51 0.0052 0.2512 0.1048 0.6388 0 0 0 0
59.5 51 0.0072 0.1216 0.2624 0.606 0 0 0.0028 0
@@ -47692,7 +47692,7 @@
53 50.5 0 0.0484 0.912 0.0396 0 0 0 0
53.5 50.5 0 0.056 0.9004 0.0436 0 0 0 0
54 50.5 0.0032 0.1088 0.6904 0.1976 0 0 0 0
-54.5 50.5 0.0012 0.19 0.4264 0.3824 0 0 0 0
+54.5 50.5 0.00119950835260795 0.189922155829592 0.426225301293358 0.3822433283644 0 0 0 0.000409706160041452
55 50.5 0.0036 0.3352 0.342 0.3192 0 0 0 0
55.5 50.5 0.0076 0.3624 0.1908 0.4392 0 0 0 0
56 50.5 0.0024 0.2852 0.3876 0.3248 0 0 0 0
@@ -48854,7 +48854,7 @@
84 51.5 0.0012 0.0248 0.0884 0.7568 0.0632 0.0656 0 0
84.5 51.5 0.0024 0.0352 0.002 0.5588 0.3092 0.0924 0 0
85 51.5 0.0084 0.036 0.0076 0.42 0.3992 0.1288 0 0
-85.5 51.5 0.0212 0.0016 0.0012 0.3676 0.2632 0.3448 4e-04 0
+85.5 51.5 0.021195647648169 0.00159967152061653 0.00119975364046239 0.367524531861647 0.263145965141419 0.344729212692861 0.000399917880154132 0.000205299614671101
86 51.5 8e-04 0 0 0.0716 0.3332 0.5944 0 0
86.5 51.5 0 0 0 0.046 0.1036 0.8504 0 0
87 51.5 0.0012 0 0 0.0096 0.1584 0.8212 0.0096 0
@@ -48892,9 +48892,9 @@
83 50.5 0 0 0.034 0.028 0.132 0.806 0 0
83.5 50.5 0 0 0.1608 0.2084 0.0324 0.5984 0 0
84 50.5 0 0 0.0496 0.6188 0.0036 0.328 0 0
-84.5 50.5 0.00119967135151965 0.00439879495557206 0.0463872922587599 0.639824720810482 0.000399890450506551 0.307515756439538 0 0.00027387373362233
+84.5 50.5 0.0012 0.0044 0.0464 0.64 4e-04 0.3076 0 0
85 50.5 0 0 0.0164 0.4584 4e-04 0.5248 0 0
-85.5 50.5 0 0.0068 0.0176 0.5092 0.0064 0.4588 0.0012 0
+85.5 50.5 0 0.00679953274909705 0.0175987906447218 0.509165011152973 0.00639956023444428 0.458768474306725 0.0011999175439583 6.87133680807375e-05
86 50.5 0.0024 4e-04 8e-04 0.3916 0.0072 0.5976 0 0
86.5 50.5 0 0 0.002 0.2352 0.0036 0.7592 0 0
87 50.5 0 0 0.0104 0.3748 0 0.6148 0 0
@@ -48920,7 +48920,7 @@
87 50 0 0 0.0264 0.65 0.002 0.3216 0 0
87.5 50 8e-04 0 0.1216 0.7856 0 0.0904 0.0016 0
88 50 0 0 0.1992 0.5632 0 0.2376 0 0
-88.5 50 0 0 0.199544841683352 0.672614075573943 0 0.12756473847092 0 0.000276344271785493
+88.5 50 0 0 0.1996 0.6728 0 0.1276 0 0
89 50 0 0 0.4988 0.4996 0 0 0.0016 0
89.5 50 0 0 0.5428 0.408 0 0 0.0492 0
90 59.5 0 0 0 0.042 0.0024 0.9556 0 0
@@ -49698,7 +49698,7 @@
106 50.5 0.01 0 0.1996 0.6504 0.11 0.03 0 0
106.5 50.5 8e-04 0.0044 0.032 0.6796 0.2752 0.008 0 0
107 50.5 0.0024 0.0652 0.0164 0.4192 0.3856 0.1112 0 0
-107.5 50.5 0.00999724169151013 0.0615830088197024 0.035590180421776 0.309914492436814 0.267126297997151 0.31551294778406 0 0.000275830848987447
+107.5 50.5 0.01 0.0616 0.0356 0.31 0.2672 0.3156 0 0
108 50.5 8e-04 0.0188 8e-04 0.2592 0.3916 0.3288 0 0
108.5 50.5 0 0.0032 0 0.1288 0.3268 0.5412 0 0
109 50.5 0 0 4e-04 0.0552 0.1852 0.7592 0 0
@@ -49717,7 +49717,7 @@
105.5 50 8e-04 0.2336 0.3656 0.1176 0.1192 0.1632 0 0
106 50 0.0156 0.0392 0.3868 0.1252 0.3524 0.0808 0 0
106.5 50 0.0012 0.0724 0.2536 0.2512 0.306 0.1156 0 0
-107 50 0.0012 0.058 0.0572 0.4192 0.3032 0.1612 0 0
+107 50 0.0011998362137732 0.0579920836657047 0.0571921928565225 0.419142784011438 0.303158616680028 0.1611779980502 0 0.000136488522333663
107.5 50 0 0.0128 8e-04 0.156 0.3112 0.5192 0 0
108 50 0 0.0036 0 0.0852 0.3304 0.5808 0 0
108.5 50 0.0028 4e-04 4e-04 0.1276 0.258 0.6108 0 0
@@ -50451,7 +50451,7 @@
122.5 51.5 0 0 0.04 0 0.0832 0.8768 0 0
123 51.5 0 0 0.004 0 0.1056 0.8904 0 0
123.5 51.5 0 0 0.0132 0 0.298 0.6888 0 0
-124 51.5 0.0024 0 0.0264 0 0.3768 0.5944 0 0
+124 51.5 0.00239983621794922 0 0.0263981983974414 0 0.376774286218028 0.594359436645424 0 6.82425211574903e-05
124.5 51.5 0 0 0.0372 0 0.3576 0.6052 0 0
125 51.5 0 0 0.0552 0 0.494 0.4508 0 0
125.5 51.5 0 0 0.0472 0 0.4712 0.4816 0 0
diff --git a/src/ac/ed/lurg/ModelConfig.java b/src/ac/ed/lurg/ModelConfig.java
index db67666d26579c803279f1613ca35ca558924539..a096bf62fcc07f3d18ff193e9e145f265b2f4bee 100755
--- a/src/ac/ed/lurg/ModelConfig.java
+++ b/src/ac/ed/lurg/ModelConfig.java
@@ -486,7 +486,7 @@ public class ModelConfig {
public static final double IRRIG_COST_SCALE_FACTOR = getDoubleProperty("IRRIG_COST_SCALE_FACTOR", 0.0002);
public static final double IRRIG_COST_MULTIPLIER = getDoubleProperty("IRRIG_COST_MULTIPLIER", 1.0);
- public static final double FERTILISER_COST_PER_T = getDoubleProperty("FERTILISER_COST_PER_T", 1.0); // assuming 50/50 urea and DAP works out to roughly $1000 / tonne N
+ public static final double FERTILISER_COST_PER_T = getDoubleProperty("FERTILISER_COST_PER_T", 0.9); // assuming 50/50 urea and DAP works out to roughly $1000 / tonne N
public static final double FERTILISER_MAX_COST = ModelConfig.getAdjParam("FERTILISER_COST_PER_T") * MAX_FERT_AMOUNT/1000;
public static final double DOMESTIC_PRICE_MARKUP = getDoubleProperty("DOMESTIC_PRICE_MARKUP", 1.0);
diff --git a/src/ac/ed/lurg/country/CountryAgent.java b/src/ac/ed/lurg/country/CountryAgent.java
index 57a864eaf0042408c5ab25b2c20eba806e70bce3..eebb8d8643d5d9c277619b7ad74f22e5af6b8b90 100644
--- a/src/ac/ed/lurg/country/CountryAgent.java
+++ b/src/ac/ed/lurg/country/CountryAgent.java
@@ -113,7 +113,6 @@ public class CountryAgent extends AbstractCountryAgent {
// project demand
calculateCountryPricesAndDemand(worldPrices, carbonPrice, globalWoodPrices, true);
- resetLccAreas(); // TODO Right place for this?
applyIrrigationEfficiency(irrigData);
@@ -187,18 +186,18 @@ public class CountryAgent extends AbstractCountryAgent {
if (CropType.ENERGY_CROPS.equals(crop) && baseTrade == 0) { // need this in case we start with no global production
- changeDown = changeUp = ModelConfig.MAX_IMPORT_CHANGE * currentGen2EcDemand;
+ changeDown = changeUp = ModelConfig.MAX_IMPORT_CHANGE * currentBioenergyDemand.get(CropType.ENERGY_CROPS);
}
// Minimum imports shouldn't be greater than demand
if (crop.isImportedCrop()) {
double cropDemand;
if (crop.equals(CropType.ENERGY_CROPS)) {
- cropDemand = currentGen2EcDemand;
+ cropDemand = currentBioenergyDemand.get(crop);
} else {
cropDemand = currentFoodDemand.get(crop);
}
- changeDown = Math.max(changeDown, baseTrade - cropDemand * 0.99); // 1% margin to avoid rounding errors
+ changeDown = Math.max(changeDown, baseTrade - cropDemand * 0.95); // 5% margin to avoid rounding errors
}
double restiction = 0;
@@ -379,14 +378,6 @@ public class CountryAgent extends AbstractCountryAgent {
return previousGamsRasterOutput.getWoodUsageData();
}
- private void resetLccAreas() { // clear LCC mapping from previous timestep
- for (LandUseItem luItem : previousGamsRasterOutput.getLandUses().values()) {
- if (luItem == null)
- continue;
- luItem.resetLccAreas();
- }
- }
-
private void applyIrrigationEfficiency(RasterSet<IrrigationItem> irrigData) {
for (IrrigationItem item : irrigData.values()) {
for(CropType crop : CropType.getNonMeatTypes()) {
diff --git a/src/ac/ed/lurg/country/gams/GamsLocationOptimiser.java b/src/ac/ed/lurg/country/gams/GamsLocationOptimiser.java
index b10bac761a1f963f456e055654048ff36e5a20bb..41a35ab2cd189242741c9a45e8de0948effcbb06 100644
--- a/src/ac/ed/lurg/country/gams/GamsLocationOptimiser.java
+++ b/src/ac/ed/lurg/country/gams/GamsLocationOptimiser.java
@@ -118,8 +118,7 @@ public class GamsLocationOptimiser {
GAMSParameter seedAndWasteRateP = inDB.addParameter("seedAndWasteRate", 1);
GAMSParameter prevLandCoverP = inDB.addParameter("previousLandCoverArea", 3);
- GAMSParameter maxCroplandAreaP = inDB.addParameter("maxCroplandArea", 1);
- GAMSParameter maxSolarAreaP = inDB.addParameter("maxSolarArea", 1);
+ GAMSParameter maxLandCoverAreaP = inDB.addParameter("maxLandCoverArea", 3);
GAMSParameter prevRotaIntP = inDB.addParameter("previousRotationIntensity", 1);
@@ -193,12 +192,16 @@ public class GamsLocationOptimiser {
v.add(landKey.getLpType().getGamsName());
v.add(locString);
double area = landUseItem.getLandCoverArea(landKey);
- setGamsParamValue(prevLandCoverP.addRecord(v), area, 6);
+ setGamsParamValue(prevLandCoverP.addRecord(v), area, 7);
}
}
- setGamsParamValue(maxCroplandAreaP.addRecord(locString), landUseItem.getMaxCroplandArea(), 6);
- setGamsParamValue(maxSolarAreaP.addRecord(locString), landUseItem.getMaxSolarArea(), 6);
+ for (LandCoverType lcType : Arrays.asList(LandCoverType.PHOTOVOLTAICS, LandCoverType.AGRIVOLTAICS, LandCoverType.CROPLAND)) {
+ for (LandProtectionType lpType : LandProtectionType.values()) {
+ LandKey key = new LandKey(lcType, lpType);
+ setGamsParamValue(maxLandCoverAreaP.addRecord(lcType.getName(), lpType.getGamsName(), locString), landUseItem.getMaxLandCoverArea(key), 7);
+ }
+ }
// Forestry
ForestDetail forestDetail = (ForestDetail) landUseItem.getLandCoverDetail(new LandKey(LandCoverType.TIMBER_FOREST, LandProtectionType.UNPROTECTED));
@@ -602,28 +605,37 @@ public class GamsLocationOptimiser {
addScalar(inDB, "maxGrossLandChange", ModelConfig.MAX_GROSS_LAND_CHANGE, -1);
// Maximum land cover conversion
+ // This includes both constraints due to slope and accessibility (cropland, solar)
+ // and forbidden protected conversions specified in RESTRICT_PROTECTED_LAND_CONVERSION_FOR
GAMSParameter maxLandCoverChangeP = inDB.addParameter("maxLandCoverChange", 4);
String[] restrictedLandCoversStrArr = ModelConfig.RESTRICT_PROTECTED_LAND_CONVERSION_FOR.split(",");
Set<LandCoverType> restrictedLandCovers = new HashSet<>();
for (String lcStr : restrictedLandCoversStrArr) {
restrictedLandCovers.add(LandCoverType.getForName(lcStr));
}
+
for (Integer location : inputData.getLocations()) {
- for (LandCoverType fromLc : LandCoverType.getConvertibleTypes()) {
- for (LandCoverType toLc : LandCoverType.getConvertibleTypes()) {
- for (LandProtectionType lp : LandProtectionType.values()) {
- Vector<String> v = new Vector<>();
- v.add(fromLc.getName());
- v.add(toLc.getName());
- v.add(lp.getGamsName());
- v.add(location.toString());
-
- if (restrictedLandCovers.contains(fromLc) && lp.equals(LandProtectionType.PROTECTED) && !fromLc.equals(toLc)) {
- setGamsParamValue(maxLandCoverChangeP.addRecord(v), 0, 6);
- } else {
- double area = inputData.getPreviousLandUse().get(location).getLandCoverArea(new LandKey(fromLc, lp));
- setGamsParamValue(maxLandCoverChangeP.addRecord(v), area, 6);
- }
+ Map<LandChangeKey, Double> maxLandChangeMap = inputData.getPreviousLandUse().get(location).getMaxLandCoverChangeMap();
+
+ for (LandChangeKey lcKey : maxLandChangeMap.keySet()) {
+ LandCoverType fromLc = lcKey.getFromLandKey().getLcType();
+ LandCoverType toLc = lcKey.getToLandKey().getLcType();
+ LandProtectionType lp = lcKey.getFromLandKey().getLpType();
+
+ Vector<String> v = new Vector<>();
+ v.add(fromLc.getName());
+ v.add(toLc.getName());
+ v.add(lp.getGamsName());
+ v.add(location.toString());
+
+ if (restrictedLandCovers.contains(fromLc) && lp.equals(LandProtectionType.PROTECTED) && !fromLc.equals(toLc)) {
+ setGamsParamValue(maxLandCoverChangeP.addRecord(v), 0, 7);
+ } else {
+ double area = maxLandChangeMap.get(lcKey);
+ try {
+ setGamsParamValue(maxLandCoverChangeP.addRecord(v), area, 7);
+ } catch (Exception e) {
+ LogWriter.println(e.toString());
}
}
}
@@ -772,11 +784,11 @@ public class GamsLocationOptimiser {
double change = rec.getLevel();
// Skip if no change or no conversion
- if (change == 0 || fromLcStr.equals(toLcStr))
+ if (change < 1e-6 || fromLcStr.equals(toLcStr))
continue;
- LandCoverType fromLc = LandCoverType.getForName(fromLcStr.split("\\.")[0]);
- LandCoverType toLc = LandCoverType.getForName(toLcStr.split("\\.")[0]);
+ LandCoverType fromLc = LandCoverType.getForName(fromLcStr);
+ LandCoverType toLc = LandCoverType.getForName(toLcStr);
LandProtectionType protectionType = LandProtectionType.getForGamsName(protectionStr);
LandKey fromKey = new LandKey(fromLc, protectionType);
LandKey toKey = new LandKey(toLc, protectionType);
diff --git a/src/ac/ed/lurg/country/gams/GamsRasterOptimiser.java b/src/ac/ed/lurg/country/gams/GamsRasterOptimiser.java
index 51ebefe9685ff45dca8029d919c3222f35b5b9f9..746845c1c46a240b938080231cf7bb625a3a316f 100644
--- a/src/ac/ed/lurg/country/gams/GamsRasterOptimiser.java
+++ b/src/ac/ed/lurg/country/gams/GamsRasterOptimiser.java
@@ -92,20 +92,26 @@ public class GamsRasterOptimiser {
// *** Order is important here ***
// Disaggregate cluster land cover changes to raster grid
- Map<RasterKey, List<LandCoverChangeItem>> lcChanges = disaggregateLandCoverChanges(gamsOutput.getLandCoverChanges(),
+ Map<RasterKey, Map<LandChangeKey, Double>> lcChanges = downscaleLandCoverChanges(gamsOutput.getLandCoverChanges(),
newLandUseRaster);
// Allocate land cover changes
- allocLandCoverChanges(newLandUseRaster, lcChanges);
+ //allocLandCoverChanges(newLandUseRaster, lcChanges);
+
+ // Update maximum allowed conversion areas
+ if (!(ModelConfig.IS_CALIBRATION_RUN && rasterInputData.getTimestep().getTimestep() < ModelConfig.END_SECOND_STAGE_CALIBRATION)) {
+ for (LandUseItem luItem : newLandUseRaster.values()) {
+ luItem.calcMaxLandCoverChange();
+ }
+ }
+
// Save land cover changes for output
- for (Map.Entry<RasterKey, List<LandCoverChangeItem>> entry : lcChanges.entrySet()) {
+ for (Map.Entry<RasterKey, Map<LandChangeKey, Double>> entry : lcChanges.entrySet()) {
RasterKey key = entry.getKey();
+ Map<LandChangeKey, Double> map = entry.getValue();
LandUseItem luItem = newLandUseRaster.get(key);
- List<LandCoverChangeItem> lccList = entry.getValue();
- for (LandCoverChangeItem lccItem : lccList) {
- luItem.setLandCoverChange(lccItem.getFromLandKey(), lccItem.getToLandKey(), lccItem.getArea());
- }
+ luItem.setLandCoverChanges(map);
}
// Forest rotation intensity and yields
@@ -165,13 +171,20 @@ public class GamsRasterOptimiser {
return newLandUseRaster;
}
- private Map<RasterKey, List<LandCoverChangeItem>> disaggregateLandCoverChanges(
+ private Map<RasterKey, Map<LandChangeKey, Double>> downscaleLandCoverChanges(
Map<Integer, List<LandCoverChangeItem>> aggLandCoverChanges, RasterSet<LandUseItem> luRaster) {
- Map<RasterKey, List<LandCoverChangeItem>> rasterChanges = new HashMap<>();
+ Map<RasterKey, Map<LandChangeKey, Double>> rasterChanges = new HashMap<>(); // downscaled changes
for (Integer locId : aggLandCoverChanges.keySet()) {
List<LandCoverChangeItem> changes = aggLandCoverChanges.get(locId);
+
+ Map<LandChangeKey, Double> changesMap = new HashMap<>();
+ for (LandCoverChangeItem item : changes) {
+ LandChangeKey lcKey = new LandChangeKey(item.getFromLandKey(), item.getToLandKey());
+ changesMap.put(lcKey, item.getArea());
+ }
+
Set<RasterKey> keys = new HashSet<>();
for (RasterKey key : mapping.keySet()) {
if (mapping.get(key).getInt() == locId) {
@@ -179,48 +192,53 @@ public class GamsRasterOptimiser {
}
}
- for (LandCoverChangeItem item : changes) {
- LandKey fromKey = item.getFromLandKey();
- LandKey toKey = item.getToLandKey();
- double totalChangeArea = item.getArea();
- if (totalChangeArea < 1e-9)
- continue;
+ Map<LandChangeKey, Double> unallocated = new HashMap<>();
- double totalArea = 0;
- for (RasterKey key : keys) {
- double area = luRaster.get(key).getLandCoverArea(fromKey);
- totalArea += area;
- }
+ double totalUnallocated = 0;
- for (RasterKey key : keys) {
- double area = luRaster.get(key).getLandCoverArea(fromKey);
- double fraction = area / totalArea;
+ for (int i = 0; i < 1000; i++) { // iteratively attempt to allocate areas
- // Splitting up the area changes in clusters proportionally by areas in raster cells
- double changedArea = fraction * totalChangeArea;
- if (changedArea < 2 * Double.MIN_VALUE) {
- continue;
+ for (LandChangeKey lcKey : changesMap.keySet()) {
+
+ double totalAvailable = 0;
+ for (RasterKey rasKey : keys) {
+ totalAvailable += luRaster.get(rasKey).getAvailableArea(lcKey);
}
- LandCoverChangeItem lccItem = new LandCoverChangeItem(fromKey, toKey, changedArea);
- List<LandCoverChangeItem> lccList = rasterChanges.computeIfAbsent(key, k -> new ArrayList<>());
- lccList.add(lccItem);
+
+ double fraction = changesMap.get(lcKey) / totalAvailable; // fraction of available area converted
+ fraction = Math.min(Math.max(fraction, 0), 1);
+
+ for (RasterKey rasKey : keys) {
+ LandUseItem luItem = luRaster.get(rasKey);
+ double area = fraction * luRaster.get(rasKey).getAvailableArea(lcKey);
+
+ if (area > 0) {
+ luItem.moveAreas(lcKey.getFromLandKey(), lcKey.getToLandKey(), area);
+ unallocated.merge(lcKey, -area, Double::sum);
+ Map<LandChangeKey, Double> map = rasterChanges.computeIfAbsent(rasKey, k -> new HashMap<>());
+ map.merge(lcKey, area, Double::sum);
+ }
+ }
+ }
+
+ // Break loop if all allocated, otherwise repeat
+ totalUnallocated = unallocated.values().stream().reduce(0.0, Double::sum);
+ if (totalUnallocated < 1e-6) {
+ break;
}
+
+ changesMap.putAll(unallocated);
}
- }
- return rasterChanges;
- }
-
- private void allocLandCoverChanges(RasterSet<LandUseItem> newLandUseRaster,
- Map<RasterKey, List<LandCoverChangeItem>> landCoverChanges) {
- for (RasterKey key : landCoverChanges.keySet()) {
- List<LandCoverChangeItem> changes = landCoverChanges.get(key);
- for (LandCoverChangeItem lccItem : changes) {
- double areaChanged = lccItem.getArea();
- newLandUseRaster.get(key).moveAreas(lccItem.getFromLandKey(), lccItem.getToLandKey(), areaChanged);
+
+ if (totalUnallocated > 1e-6) {
+ LogWriter.printlnError("Can't downscale areas. Cluster " + locId + " " + rasterInputData.getCountryInput().getCountry() + " " + totalUnallocated);
}
}
+
+ return rasterChanges;
}
+
@SuppressWarnings("serial")
private GamsLocationInput convertFromRaster(GamsRasterInput rasterInputData) {
YieldRaster yieldRaster = rasterInputData.getYields();
@@ -411,11 +429,20 @@ public class GamsRasterOptimiser {
aggLandUse.setLandCoverArea(landKey, convAreaSoFar + convAreaThisTime);
}
- // Maximum cropland area
- aggLandUse.setMaxCroplandArea(aggLandUse.getMaxCroplandArea() + landUseItem.getMaxCroplandArea());
+ // Maximum land cover area
+ for (LandProtectionType lpType : LandProtectionType.values()) {
+ LandKey cropKey = new LandKey(LandCoverType.CROPLAND, lpType);
+ LandKey pvKey = new LandKey(LandCoverType.PHOTOVOLTAICS, lpType);
+ aggLandUse.setMaxLandCoverArea(cropKey, aggLandUse.getMaxLandCoverArea(cropKey) + landUseItem.getMaxLandCoverArea(cropKey));
+ aggLandUse.setMaxLandCoverArea(pvKey, aggLandUse.getMaxLandCoverArea(pvKey) + landUseItem.getMaxLandCoverArea(pvKey));
+ }
+
+ // Maximum land cover change
+ Map<LandChangeKey, Double> maxLandChangeMap = landUseItem.getMaxLandCoverChangeMap();
+ for (LandChangeKey lcKey : maxLandChangeMap.keySet()) {
+ aggLandUse.setMaxLandCoverChange(lcKey, aggLandUse.getMaxLandCoverChange(lcKey) + maxLandChangeMap.get(lcKey));
+ }
- // Maximum PV area
- aggLandUse.setMaxSolarArea(aggLandUse.getMaxSolarArea() + landUseItem.getMaxSolarArea());
}
checkedTotalAreas(landUseRaster, "before");
diff --git a/src/ac/ed/lurg/demand/AbstractSSPDemandManager.java b/src/ac/ed/lurg/demand/AbstractSSPDemandManager.java
index 3ead97d9e2ac99d8de43d1a6b61d40efed32c0e2..07d93dfc3969868c7eb2295e8f4e2c488f867e16 100644
--- a/src/ac/ed/lurg/demand/AbstractSSPDemandManager.java
+++ b/src/ac/ed/lurg/demand/AbstractSSPDemandManager.java
@@ -5,7 +5,6 @@ import java.util.Map;
import ac.ed.lurg.ModelConfig;
import ac.ed.lurg.country.*;
-import ac.ed.lurg.types.CommodityType;
import ac.ed.lurg.types.CropType;
import ac.ed.lurg.types.WoodType;
import ac.ed.lurg.utils.LogWriter;
@@ -69,7 +68,7 @@ public abstract class AbstractSSPDemandManager extends AbstractDemandManager {
return foodDemandMap;
}
- protected double rebaseConsumption(double baseCpc, double baseExpCpc, double newExpCpc, int year) {
+ protected double rebaseFoodConsumption(double baseCpc, double baseExpCpc, double newExpCpc, int year) {
double gapRatio;
if (ModelConfig.ADJUST_DIET_PREFS & year >= ModelConfig.DIET_CHANGE_START_YEAR) {
gapRatio = 1 - ModelConfig.DIET_CONVERGENCE_PARAM * (year - ModelConfig.DIET_CHANGE_START_YEAR) /
@@ -86,6 +85,11 @@ public abstract class AbstractSSPDemandManager extends AbstractDemandManager {
return newExpCpc + adjFactor;
}
+ protected double rebaseWoodConsumption(double baseCpc, double baseExpCpc, double newExpCpc) {
+ double adjFactor = (baseExpCpc == 0 || ModelConfig.DONT_REBASE_DEMAND) ? 0.0 : (baseCpc - baseExpCpc);
+ return Math.max(0.0, newExpCpc + adjFactor);
+ }
+
abstract Map<CropType, Double> getFoodDemandMap(SingleCountry c, int year, double gdpPc, double population,
Map<CropType, CountryPrice> prices, boolean outputGamsDemand);
diff --git a/src/ac/ed/lurg/demand/ElasticDemandManager.java b/src/ac/ed/lurg/demand/ElasticDemandManager.java
index 702b7fbad4f4c3da94b5ccb9357cfea8e44110ba..b7d697bbf55a9c7d24c3da881c29af65f026b571 100755
--- a/src/ac/ed/lurg/demand/ElasticDemandManager.java
+++ b/src/ac/ed/lurg/demand/ElasticDemandManager.java
@@ -98,7 +98,7 @@ public class ElasticDemandManager extends AbstractSSPDemandManager {
double baseExpCpc = baseExpCpcMap.get(commodity);
double baseCpc = baseConsumpManager.get(c, commodity);
- double cpc = rebaseConsumption(baseCpc, baseExpCpc, newExpCpc, year);
+ double cpc = rebaseFoodConsumption(baseCpc, baseExpCpc, newExpCpc, year);
double cpcAdj = Math.max(cpc, minIntake);
rebasedDemands.put(commodity, cpcAdj);
}
@@ -213,7 +213,7 @@ public class ElasticDemandManager extends AbstractSSPDemandManager {
Map<WoodCommodityType, Double> woodDemands = new HashMap<>();
Map<WoodCommodityType, Double> baseExpCpcMap = baseWoodCpcCache.get(country);
- if (baseExpCpcMap == null) { // we should only do this in the first year
+ if (ModelConfig.IS_CALIBRATION_RUN) { // we should only do this during calibration
baseWoodCpcCache.put(country, woodPc);
baseExpCpcMap = woodPc;
}
@@ -226,8 +226,7 @@ public class ElasticDemandManager extends AbstractSSPDemandManager {
double baseExpCpc = baseExpCpcMap.get(commodity);
double baseCpc = woodDemandManager.getBaseDemand(country, commodity);
// setting year to BASE_YEAR to avoid convergence. TODO
- double cpc = rebaseConsumption(baseCpc, baseExpCpc, newExpCpc, ModelConfig.BASE_YEAR);
- cpc = Math.max(cpc, 0); // could be negative due to rebasing so need to max 0
+ double cpc = rebaseWoodConsumption(baseCpc, baseExpCpc, newExpCpc);
// Rebased consumption
double d = cpc * population;
diff --git a/src/ac/ed/lurg/landuse/LandChangeKey.java b/src/ac/ed/lurg/landuse/LandChangeKey.java
index 2744a07fc96cd1a8cf56a062da92d06feddf2418..69122d3fbd39d4f2e3f7af9f7f72be6ea0e0e010 100644
--- a/src/ac/ed/lurg/landuse/LandChangeKey.java
+++ b/src/ac/ed/lurg/landuse/LandChangeKey.java
@@ -25,12 +25,22 @@ public class LandChangeKey implements Serializable {
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
- LandChangeKey landChangeKey = (LandChangeKey) o;
- return Objects.equals(fromLandKey, landChangeKey.fromLandKey) && Objects.equals(toLandKey, landChangeKey.toLandKey);
+
+ if(((LandChangeKey) o).getFromLandKey().equals(fromLandKey) && ((LandChangeKey) o).getToLandKey().equals(toLandKey)) return true;
+ LandChangeKey that = (LandChangeKey) o;
+ return Objects.equals(fromLandKey, that.fromLandKey) && Objects.equals(toLandKey, that.toLandKey);
}
@Override
public int hashCode() {
return Objects.hash(fromLandKey, toLandKey);
}
+
+ @Override
+ public String toString() {
+ return "LandChangeKey{" +
+ "fromLandKey=" + fromLandKey +
+ ", toLandKey=" + toLandKey +
+ '}';
+ }
}
diff --git a/src/ac/ed/lurg/landuse/LandCoverItem.java b/src/ac/ed/lurg/landuse/LandCoverItem.java
index e5ac2bb98f4ceec114b5290c87fefbb9d6c92889..4e2699d173a62dbaa1b7a54c9cf3637538120b79 100644
--- a/src/ac/ed/lurg/landuse/LandCoverItem.java
+++ b/src/ac/ed/lurg/landuse/LandCoverItem.java
@@ -46,9 +46,8 @@ public class LandCoverItem implements RasterItem {
}
public double getMaxCroplandArea(){
- double maxArea = maxCroplandFraction * getTotalArea();
- double cropArea = getLandCoverArea(LandCoverType.CROPLAND);
- return Math.max(maxArea, cropArea); // In case of disagreement, trust land cover data
+ // In case of disagreement, trust land cover data
+ return Math.max(maxCroplandFraction * getTotalArea(), getLandCoverArea(LandCoverType.CROPLAND));
}
public void setMaxCropFraction(double maxCropFraction){
@@ -156,6 +155,6 @@ public class LandCoverItem implements RasterItem {
}
public double getMaxSolarArea() {
- return maxSolarFraction * getTotalArea();
+ return Math.max(maxSolarFraction * getTotalArea(), getLandCoverArea(LandCoverType.PHOTOVOLTAICS));
}
}
\ No newline at end of file
diff --git a/src/ac/ed/lurg/landuse/LandKey.java b/src/ac/ed/lurg/landuse/LandKey.java
index cc2bca0fe0307d6028a321c4d7ca4391ee7ffe47..976b3046d4f8a45e30056d7e3bb860f45b730119 100644
--- a/src/ac/ed/lurg/landuse/LandKey.java
+++ b/src/ac/ed/lurg/landuse/LandKey.java
@@ -38,4 +38,12 @@ public class LandKey implements Serializable {
public int hashCode() {
return Objects.hash(lcType, lpType);
}
+
+ @Override
+ public String toString() {
+ return "LandKey{" +
+ "lcType=" + lcType +
+ ", lpType=" + lpType +
+ '}';
+ }
}
diff --git a/src/ac/ed/lurg/landuse/LandUseItem.java b/src/ac/ed/lurg/landuse/LandUseItem.java
index b5a69c9c7108be74dd160313f568fb639ef092fb..d22cb4766ad04bdc1a0ca9bf77be297b7ec9d60e 100644
--- a/src/ac/ed/lurg/landuse/LandUseItem.java
+++ b/src/ac/ed/lurg/landuse/LandUseItem.java
@@ -13,38 +13,52 @@ public class LandUseItem implements InterpolatingRasterItem<LandUseItem>, Serial
private static final long serialVersionUID = 763526147224355158L;
private Map<LandKey, LandCoverDetail> landCoverAreas = new HashMap<>();
private final Map<LandChangeKey, Double> landCoverChange = new HashMap<>(); // land cover change for previous timestep
- private double maxCroplandArea = 0; // area suitable for cropland
private double protectedFraction; // protected fraction of total area
- private double maxSolarArea = 0; // area suitable for PV
+ private Map<LandKey, Double> maxLandCoverAreas = new HashMap<>(); // maximum area for cropland and solar
+ private Map<LandChangeKey, Double> maxLandCoverChange = new HashMap<>(); // maximum allowed LCC due to slope and other constraints
public LandUseItem() {}
public LandUseItem(LandCoverItem landCover) {
this();
- if (landCover != null) {
- landCoverAreas.putAll(landCover.getInitialLandCoverAreas());
- setProtectedFraction(landCover.getProtectedFraction(landCoverAreas));
- AgricultureDetail cropDetail = (AgricultureDetail) getLandCoverDetail(new LandKey(LandCoverType.CROPLAND, LandProtectionType.UNPROTECTED));
- AgricultureDetail avDetail = (AgricultureDetail) getLandCoverDetail(new LandKey(LandCoverType.AGRIVOLTAICS, LandProtectionType.UNPROTECTED));
+ landCoverAreas.putAll(landCover.getInitialLandCoverAreas());
+ setProtectedFraction(landCover.getProtectedFraction(landCoverAreas));
- for (CropType crop : CropType.getCropsLessPasture()) {
- cropDetail.setCropFraction(crop, landCover.getCropFraction(crop));
- cropDetail.setIntensity(crop, new Intensity(0.5, 0.5, 0.5));
+ AgricultureDetail cropDetail = (AgricultureDetail) getLandCoverDetail(new LandKey(LandCoverType.CROPLAND, LandProtectionType.UNPROTECTED));
+ AgricultureDetail avDetail = (AgricultureDetail) getLandCoverDetail(new LandKey(LandCoverType.AGRIVOLTAICS, LandProtectionType.UNPROTECTED));
- avDetail.setCropFraction(crop, 0);
- avDetail.setIntensity(crop, new Intensity(0.5, 0.5, 0.5));
- }
+ for (CropType crop : CropType.getCropsLessPasture()) {
+ cropDetail.setCropFraction(crop, landCover.getCropFraction(crop));
+ cropDetail.setIntensity(crop, new Intensity(0.5, 0.5, 0.5));
- AgricultureDetail pastureDetail = (AgricultureDetail) getLandCoverDetail(new LandKey(LandCoverType.PASTURE, LandProtectionType.UNPROTECTED));
- pastureDetail.setCropFraction(CropType.PASTURE, 1.0);
- pastureDetail.setIntensity(CropType.PASTURE, new Intensity(0, 0, 0.5));
+ avDetail.setCropFraction(crop, 0);
+ avDetail.setIntensity(crop, new Intensity(0.5, 0.5, 0.5));
+ }
- setMaxCroplandArea(landCover.getMaxCroplandArea());
- setMaxSolarArea(landCover.getMaxSolarArea());
- } else {
- maxCroplandArea = getTotalLandArea();
+ AgricultureDetail pastureDetail = (AgricultureDetail) getLandCoverDetail(new LandKey(LandCoverType.PASTURE, LandProtectionType.UNPROTECTED));
+ pastureDetail.setCropFraction(CropType.PASTURE, 1.0);
+ pastureDetail.setIntensity(CropType.PASTURE, new Intensity(0, 0, 0.5));
+
+ // Assuming homogeneity between protected and unprotected areas so need to distribute maximum areas between them
+ for (LandCoverType lc : LandCoverType.getConvertibleTypes()) {
+ double maxArea;
+ switch (lc) {
+ case CROPLAND: maxArea = landCover.getMaxCroplandArea(); break;
+ case PHOTOVOLTAICS: maxArea = landCover.getMaxSolarArea(); break;
+ case AGRIVOLTAICS: maxArea = Math.min(landCover.getMaxCroplandArea(), landCover.getMaxSolarArea()); break;
+ default: maxArea = getSuitableArea(); break;
+ }
+ // Take maximum in case current unprotected area exceeds max area if distributed proportionally
+ double unprotArea = Math.max(maxArea * (1 - protectedFraction), getLandCoverArea(new LandKey(lc, LandProtectionType.UNPROTECTED)));
+ double protArea = Math.max(maxArea - unprotArea, 0);
+
+ maxLandCoverAreas.put(new LandKey(lc, LandProtectionType.UNPROTECTED), unprotArea);
+ maxLandCoverAreas.put(new LandKey(lc, LandProtectionType.PROTECTED), protArea);
}
+
+ calcMaxLandCoverChange();
+
}
public LandUseItem(LandUseItem luItemToCopy) {
@@ -52,8 +66,8 @@ public class LandUseItem implements InterpolatingRasterItem<LandUseItem>, Serial
landCoverAreas.putAll(luItemToCopy.landCoverAreas);
landCoverChange.putAll(luItemToCopy.landCoverChange);
protectedFraction = luItemToCopy.protectedFraction;
- maxCroplandArea = luItemToCopy.maxCroplandArea;
- maxSolarArea = luItemToCopy.maxSolarArea;
+ maxLandCoverAreas.putAll(luItemToCopy.maxLandCoverAreas);
+ maxLandCoverChange.putAll(luItemToCopy.maxLandCoverChange);
}
public void setProtectedFraction(double protFrac) {
@@ -75,15 +89,10 @@ public class LandUseItem implements InterpolatingRasterItem<LandUseItem>, Serial
private LandCoverDetail getMissingDetail(LandKey key) {
switch(key.getLcType()) {
case CROPLAND:
- return new AgricultureDetail(0);
case PASTURE:
- return new AgricultureDetail(0);
case AGRIVOLTAICS:
return new AgricultureDetail(0);
- case PHOTOVOLTAICS:
- return new LandCoverDetail(0);
case TIMBER_FOREST:
- return new ForestDetail(0);
case CARBON_FOREST:
return new ForestDetail(0);
case NATURAL:
@@ -153,33 +162,98 @@ public class LandUseItem implements InterpolatingRasterItem<LandUseItem>, Serial
return totalArea == 0 ? 0.0 : a / totalArea;
}
- public void setMaxCroplandArea(double maxCroplandArea) {
- this.maxCroplandArea = maxCroplandArea;
+ public void setMaxLandCoverArea(LandKey key, double area) {
+ maxLandCoverAreas.put(key, area);
}
- public double getMaxCroplandArea() {
- return maxCroplandArea;
+ public double getMaxLandCoverArea(LandKey key) {
+ return maxLandCoverAreas.getOrDefault(key, 0.0);
+ }
+
+ public void setMaxLandCoverChange(LandChangeKey key, double area) {
+ this.maxLandCoverChange.put(key, area);
+ }
+
+ public double getMaxLandCoverChange(LandChangeKey key) {
+ return maxLandCoverChange.getOrDefault(key, 0.0);
+ }
+
+ public Map<LandChangeKey, Double> getMaxLandCoverChangeMap() {
+ return maxLandCoverChange;
+ }
+
+ public void calcMaxLandCoverChange() {
+ // Cropland, photovoltaics and agrivoltaics areas are limited due to slope and accessibility
+ // Need to calculate maximum allowed conversion to these land covers on a grid cell basis
+ // so that maximum allowed conversion is consistent on cluster and grid-cell level.
+
+ Map<LandChangeKey, Double> maxChangeMap = new HashMap<>();
+
+ for (LandCoverType fromLc : LandCoverType.getConvertibleTypes()) {
+ for (LandCoverType toLc : LandCoverType.getConvertibleTypes()) {
+ for (LandProtectionType lpType : LandProtectionType.values()) {
+ LandKey fromKey = new LandKey(fromLc, lpType);
+ LandKey toKey = new LandKey(toLc, lpType);
+ LandChangeKey lcKey = new LandChangeKey(fromKey, toKey);
+
+ double conversionLimit = getAvailableArea(lcKey);
+ maxChangeMap.put(lcKey, conversionLimit);
+ }
+ }
+ }
+
+ maxLandCoverChange.clear();
+ maxLandCoverChange.putAll(maxChangeMap);
+
}
- public void setMaxSolarArea(double maxSolarArea) {
- this.maxSolarArea = maxSolarArea;
+ public double getRemainingArea(LandKey landKey) {
+ // Calculates how much more of given land cover can be created, respecting maximum area limits
+ LandCoverType lcType = landKey.getLcType();
+ LandProtectionType lpType = landKey.getLpType();
+
+ double maxNewArea;
+ double cropArea = getLandCoverArea(new LandKey(LandCoverType.CROPLAND, lpType));
+ double pvArea = getLandCoverArea(new LandKey(LandCoverType.PHOTOVOLTAICS, lpType));
+ double avArea = getLandCoverArea(new LandKey(LandCoverType.AGRIVOLTAICS, lpType));
+
+ switch (lcType) {
+ case CROPLAND:
+ maxNewArea = getMaxLandCoverArea(landKey) - cropArea - avArea; // max cropland minus existing cropland and AV
+ break;
+ case PHOTOVOLTAICS:
+ maxNewArea = getMaxLandCoverArea(landKey) - pvArea - avArea; // max solar minus existing PV and AV
+ break;
+ case AGRIVOLTAICS:
+ maxNewArea = getMaxLandCoverArea(landKey) - avArea - cropArea - pvArea; // AV counts as both cropland and photovoltaics
+ break;
+ default:
+ maxNewArea = getMaxLandCoverArea(landKey) - getLandCoverArea(landKey);
+ break;
+ }
+ return Math.max(maxNewArea, 0);
}
- public double getMaxSolarArea() {
- return maxSolarArea;
+ public double getAvailableArea(LandChangeKey lcKey) {
+ // Calculates how much area is available for conversion between two land covers
+
+ if (lcKey.getFromLandKey().equals(lcKey.getToLandKey())) { // conversion of land cover to itself is just current area
+ return getLandCoverArea(lcKey.getFromLandKey());
+
+ } else {
+ double maxNewArea = getRemainingArea(lcKey.getToLandKey()); // how much more of target land cover can be created
+ double baseArea = getLandCoverArea(lcKey.getFromLandKey()); // how much source land cover
+ return Math.min(maxNewArea, baseArea);
+ }
}
public double getSuitableArea() {
return getTotalLandArea() - getLandCoverArea(LandCoverType.BARREN) - getLandCoverArea(LandCoverType.URBAN);
}
- public void resetLccAreas() {
+ public void setLandCoverChanges(Map<LandChangeKey, Double> changesMap) {
landCoverChange.clear();
- }
-
- public void setLandCoverChange(LandKey fromKey, LandKey toKey, double area) {
- LandChangeKey key = new LandChangeKey(fromKey, toKey);
- landCoverChange.put(key, area);
+ landCoverChange.putAll(changesMap);
}
public Map<LandChangeKey, Double> getLandCoverChanges() {
@@ -196,6 +270,8 @@ public class LandUseItem implements InterpolatingRasterItem<LandUseItem>, Serial
area = Math.min(area, fromArea);
setLandCoverArea(fromKey, fromArea - area);
setLandCoverArea(toKey, toArea + area);
+
+ calcMaxLandCoverChange();
}
public void updateProtectedArea(double protFract) { // for changing protected fraction during model run
@@ -211,7 +287,7 @@ public class LandUseItem implements InterpolatingRasterItem<LandUseItem>, Serial
// Order in which to add protected area
final List<LandCoverType> priority = Arrays.asList(LandCoverType.BARREN, LandCoverType.NATURAL, LandCoverType.CARBON_FOREST,
- LandCoverType.TIMBER_FOREST, LandCoverType.PASTURE, LandCoverType.CROPLAND);
+ LandCoverType.TIMBER_FOREST, LandCoverType.PASTURE, LandCoverType.CROPLAND, LandCoverType.AGRIVOLTAICS, LandCoverType.PHOTOVOLTAICS);
if (isMore) {
for (LandCoverType lcType : priority) {
@@ -243,6 +319,26 @@ public class LandUseItem implements InterpolatingRasterItem<LandUseItem>, Serial
if (diffArea > 1e-9) {
LogWriter.printlnError("LandUseItem.updateProtectedArea cannot move enough area");
}
+
+ // If protectedFraction changed then we need to update maximum areas since those are distributed proportionally
+ // between protected and unprotected
+ updateMaximumLandCoverAreas();
+ }
+
+ private void updateMaximumLandCoverAreas() {
+ // Redistribute maximum areas based on protected fraction
+ double totalMaxCropland = 0;
+ double totalMaxSolar = 0;
+ for (LandProtectionType lpType : LandProtectionType.values()) {
+ totalMaxCropland += getMaxLandCoverArea(new LandKey(LandCoverType.CROPLAND, lpType));
+ totalMaxSolar += getMaxLandCoverArea(new LandKey(LandCoverType.PHOTOVOLTAICS, lpType));
+ }
+ maxLandCoverAreas.put(new LandKey(LandCoverType.CROPLAND, LandProtectionType.UNPROTECTED), totalMaxCropland * (1 - protectedFraction));
+ maxLandCoverAreas.put(new LandKey(LandCoverType.CROPLAND, LandProtectionType.PROTECTED), totalMaxCropland * protectedFraction);
+ maxLandCoverAreas.put(new LandKey(LandCoverType.PHOTOVOLTAICS, LandProtectionType.UNPROTECTED), totalMaxSolar * (1 - protectedFraction));
+ maxLandCoverAreas.put(new LandKey(LandCoverType.PHOTOVOLTAICS, LandProtectionType.PROTECTED), totalMaxSolar * protectedFraction);
+
+ //TODO rest of land covers
}
public double getTotalCropArea(CropType crop) {
diff --git a/src/ac/ed/lurg/types/LandCoverType.java b/src/ac/ed/lurg/types/LandCoverType.java
index 1120f9c47451189d57eacda1e375d4a3f128c711..e7fc70140d90c23ce85846d60766391d41e2deee 100644
--- a/src/ac/ed/lurg/types/LandCoverType.java
+++ b/src/ac/ed/lurg/types/LandCoverType.java
@@ -9,22 +9,24 @@ import ac.ed.lurg.utils.LogWriter;
public enum LandCoverType {
- TIMBER_FOREST("timberForest", true),
- CARBON_FOREST("carbonForest", true),
- NATURAL ("natural", true),
- CROPLAND ("cropland", true),
- PASTURE ("pasture", true),
- PHOTOVOLTAICS("photovoltaics", true),
- AGRIVOLTAICS("agrivoltaics", true),
- BARREN ("barren", false),
- URBAN("urban", false);
+ TIMBER_FOREST("timberForest", true, false),
+ CARBON_FOREST("carbonForest", true, false),
+ NATURAL ("natural", true, false),
+ CROPLAND ("cropland", true, true),
+ PASTURE ("pasture", true, false),
+ PHOTOVOLTAICS("photovoltaics", true, true),
+ AGRIVOLTAICS("agrivoltaics", true, true),
+ BARREN ("barren", false, false),
+ URBAN("urban", false, false);
private final String name;
private final boolean isConvertible;
+ private final boolean isConstrained; // maximum area in grid cell constrained due to factors like slope
- LandCoverType(String name, boolean isConvertible) {
+ LandCoverType(String name, boolean isConvertible, boolean isConstrained) {
this.name = name;
this.isConvertible = isConvertible;
+ this.isConstrained = isConstrained;
}
public String getName() {
@@ -34,7 +36,11 @@ public enum LandCoverType {
public boolean isConvertible() {
return isConvertible;
}
-
+
+ public boolean isConstrained() {
+ return isConstrained;
+ }
+
private static final Map<String, LandCoverType> nameCache = new HashMap<String, LandCoverType>();
static {
for (LandCoverType c : values()) {