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economic_limit_groundwater_extraction_sensitivity_analysis.cfg
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# Configuration file to be used with the script compute_economic_limit_groundwater_extraction.py
# The configuration file allows for argument substitution where arguments can be identified
# by the string <sys.argv#> where # should identify the position on the command line
# from position 2 onwards.
[general]
clone = $1
inputpath = /projects/0/dfguu/data/hydroworld/
outputpath = $2
startyear = 1970
max_number_years = $3
dynamic_crop_info_present = False
countries = /home/rens/Projects/economic_limit_irrigation/data/pbl_countries.map
regions = /home/rens/Data/ImageRegions/Image_Regions.map
cellarea = /projects/0/dfguu/data/hydroworld/PCRGLOBWB20/input5min/routing/cellsize05min.correct.map
testverbose = True
full_report = False
reconstruct_existing_wells = False
[netcdfattrs]
description = test
[groundwater]
# Note DEM is no longer needed as groundwater depth is specified directly.
# dem = /data/hydroworld/PCRGLOBWB20/input5min/landSurface/topo/gtopo05min.map
groundwaterdepth = /home/rens/Projects/economic_limit_irrigation/data/groundwater/groundwaterDepth_average_1958_2010.map
confinining_layer_thickness = $4
specific_yield_conflayer = $7
specific_yield_unconflayer = /home/rens/Projects/economic_limit_irrigation/data/groundwater/poros_0sd_05arcmin.map
[crops]
# crop settings: crop types and selection, including staple crops;
# also includes information on crop yield and harvested area that will be read from netCDF;
# file roots are provided where the first wild card is the crop system (irrigated, rainfed),
# and the second the crop name.
crop_systems = rainfed,irrigated
crop_ids = 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26
crop_names = wheat,maize,rice,barley,rye,millet,sorghum,soybeans,sunflower,potatoes,cassava,sugar_cane,sugar_beets,oil_palm,rapeseed_or_canola,groundnuts_or_peanuts,pulses,citrus,date_palm,grapes_and_vine,cotton,cocoa,coffee,others_perennial,managed_grassland_or_pasture,others_annual
selected_crop_ids = 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23
crop_water_requirement_fileroot = /home/rens/Projects/economic_limit_irrigation/cropdata/crop_water_requirement_%s_%s.nc
maximum_crop_area_fileroot = /home/rens/Projects/economic_limit_irrigation/cropdata/maximum_crop_area_%s_%s.nc
water_productivity_tbl = /home/rens/Projects/economic_limit_irrigation/data/tableinfo/waterUseEfficiency_updated.txt
sprinkler_radius = 402.2
sprinkler_correction = 0.25
irrigation_types = surface,sprinkler,drip
fraction_irrigation_type_fileroot = /home/rens/Projects/economic_limit_irrigation/data/irrigation/fractional_irrigated_area_%s.map
irrigation_efficiency = 0.475,0.7125,0.855
irrigation_overpressure_ratio = 0.30,1.00,0.50
[table_info]
# table information with economic data per country
# table with various information organized per country and the entries provided per row
# country_table_column_start: this is the last column of those columns identifying
# the different information on country and region IDs as contained by the country-specfic
# tables:
# FID ISO1 ISO2 ISO3 Name IMAGE26 IMAGE26_name <...>
#
# and the following column numbers for the country-specific information
# that are defined relative the the follwing offset, which defines the
# start column as the start column + the number of crops contained.
country_data_tbl_filename = /home/rens/Projects/economic_limit_irrigation/data/tableinfo/countries_data_updated_05122019.txt
table_country_id = 1
table_country_name = 4
# producer price per crop
table_price_wheat = 7
table_price_maize = 8
table_price_rice = 9
table_price_barley = 10
table_price_rye = 11
table_price_millet = 12
table_price_sorghum = 13
table_price_soybeans = 14
table_price_sunflower = 15
table_price_potatoes = 16
table_price_cassava = 17
table_price_sugar_cane = 18
table_price_sugar_beets = 19
table_price_oil_palm = 20
table_price_rapeseed_or_canola = 21
table_price_groundnuts_or_peanuts = 22
table_price_pulses = 23
table_price_citrus = 24
table_price_date_palm = 25
table_price_grapes_and_vine = 26
table_price_cotton = 27
table_price_cocoa = 28
table_price_coffee = 29
table_price_others_perennial = 30
table_price_managed_grassland_or_pasture = 31
# all other variables
table_discount_rate = 32
table_investment_status = 33
table_interest_rate_loans = 34
table_interest_rate_savings = 35
table_fraction_saved = 36
table_electricity_price = 37
table_labour_cost = 38
table_material_cost = 39
table_pump_cost_start = 40
table_pump_cost_kw = 41
table_cost_irr_surface = 42
table_cost_irr_sprinkler = 43
table_cost_irr_drip = 44
table_well_lifetime = 45
table_maximum_well_capacity = 46
table_well_water_depth = 47
table_pumping_efficiency = 48
[adjustments]
# adjustments is an optional section where adjustments can be specified per parameter
# thus, a premultiplier can be added for the drilling costs which is set
# as a factor, for example mul_materialcost = 2.0 will increase the material
# cost of well construction twofold: mul_xxx where xxx is the variable name
mul_layerdepth_confined = $5
mul_specificyield_unconfined = $6
add_discount_rate = $9
add_interest_rate_loans = $9
mul_electricity_price = $10
mul_labour_cost = $11
mul_pump_cost_start = $12
mul_pump_cost_kw = $12
mul_material_cost = $12
mul_cost_irrigation = $12
add_initial_pumping_efficiency = $13
add_final_pumping_efficiency = $13
mul_price_wheat = $8
mul_price_maize = $8
mul_price_rice = $8
mul_price_barley = $8
mul_price_rye = $8
mul_price_millet = $8
mul_price_sorghum = $8
mul_price_soybeans = $8
mul_price_sunflower = $8
mul_price_potatoes = $8
mul_price_cassava = $8
mul_price_sugar_cane = $8
mul_price_sugar_beets = $8
mul_price_oil_palm = $8
mul_price_rapeseed_or_canola = $8
mul_price_groundnuts_or_peanuts = $8
mul_price_pulses = $8
mul_price_citrus = $8
mul_price_date_palm = $8
mul_price_grapes_and_vine = $8
mul_price_cotton = $8
mul_price_cocoa = $8
mul_price_coffee = $8
mul_price_others_perennial = $8
mul_price_managed_grassland_or_pasture = $8
# end of the file with configuration settings