2015
DOI: 10.1007/s40030-015-0113-3
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Spatial Mapping of Agricultural Water Productivity Using the SWAT Model

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Cited by 2 publications
(2 citation statements)
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“…The production of food crops based on plant type is an indicator of success or the achievement of the agricultural sector. Furthermore, the high or low production or productivity of food crops demonstrates the level of commitment of the government and farming communities to achieve food independence [10]. The food in question can be sourced from rice as the primary food ingredient, and other alternative foodstuffs such as corn, yams, and soybeans.…”
Section: Land Usementioning
confidence: 99%
“…The production of food crops based on plant type is an indicator of success or the achievement of the agricultural sector. Furthermore, the high or low production or productivity of food crops demonstrates the level of commitment of the government and farming communities to achieve food independence [10]. The food in question can be sourced from rice as the primary food ingredient, and other alternative foodstuffs such as corn, yams, and soybeans.…”
Section: Land Usementioning
confidence: 99%
“…The Soil and Water Assessment Tool (SWAT) is a widely used hydrological model that uses a geographic information system (GIS) interface to capture landscape variability and runs on a daily time step. SWAT has been used to simulate water resource assessment (Krysanova & White, 2015; Gupta et al, 2020); map agriculture water productivity (Garg et al, 2012b; Thokal et al, 2015; Ahmadzadeh et al, 2016); optimize reservoir operation (Wu & Chen, 2012; Anand et al, 2018); study the impact of land use and management practices (Krysanova & White, 2015; Jodar‐Abellan et al, 2019); study climate change effects (Narsimlu et al, 2013; Uniyalet al, 2015; Marin et al, 2020); and quantify various ecosystem services (Dile et al, 2016a, 2016b; Lee et al, 2018). It has also been used to analyse upstream–downstream water balance at meso‐ (Dile et al, 2016a, 2016b), catchment and basin scales (Masih et al, 2011).…”
Section: Introductionmentioning
confidence: 99%