Capturing spatial variability of factors affecting the water allocation plans—a geo-informatics approach for large irrigation schemes

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dc.creatorWaqas, M. M.
dc.creatorWaseem, M.
dc.creatorAli, S.
dc.creatorHopman, J. W.
dc.creatorAwan, Usman Khalid
dc.creatorShah, S. H. H.
dc.creatorShah, A. N.
dc.date2022-11
dc.date2022-07-31T23:55:06Z
dc.date2022-07-31T23:55:06Z
dc.date.accessioned2026-06-27T18:40:29Z
dc.descriptionThe livelihoods of poor people living in rural areas of Indus Basin Irrigation System (IBIS) of Pakistan depend largely on irrigated agriculture. Water duties in IBIS are mainly calculated based on crop-specific evapotranspiration. Recent studies show that ignoring the spatial variability of factors affecting the crop water requirements can affect the crop production. The objective of the current study is thus to identify the factors which can affect the water duties in IBIS, map these factors by GIS, and then develop the irrigation response units (IRUs), an area representing the unique combinations of factors affecting the gross irrigation requirements (GIR). The Lower Chenab Canal (LCC) irrigation scheme, the largest irrigation scheme of the IBIS, is selected as a case. Groundwater quality, groundwater levels, soil salinity, soil texture, and crop types are identified as the main factors for IRUs. GIS along with gamma design software GS + was used to delineate the IRUs in the large irrigation scheme. This resulted in a total of 84 IRUs in the large irrigation scheme based on similar biophysical factors. This study provided the empathy of suitable tactics to increase water management and productivity in LCC. It will be conceivable to investigate a whole irrigation canal command in parts (considering the field-level variations) and to give definite tactics for management.
dc.identifierhttps://hdl.handle.net/10568/120383
dc.identifier.urihttp://hdl.handle.net/123456789/162396
dc.languageen
dc.publisherSpringer
dc.rightsLimited Access
dc.sourceWaqas, M. M.; Waseem, M.; Ali, S.; Hopman, J. W.; Awan, Usman Khalid; Shah, S. H. H.; Shah, A. N. 2022. Capturing spatial variability of factors affecting the water allocation plans—a geo-informatics approach for large irrigation schemes. Environmental Science and Pollution Research, 29(54):81418-81429. [doi: https://doi.org/10.1007/s11356-022-20912-9]
dc.subjectirrigation schemes
dc.subjectwater allocation
dc.subjectplans
dc.subjectspatial variation
dc.subjectgeostatistics
dc.subjectgeographical information systems
dc.subjectremote sensing
dc.subjectirrigation water
dc.subjectcropping patterns
dc.subjectsoil texture
dc.subjectsoil salinity
dc.subjectgroundwater level
dc.subjectwater quality
dc.subjectirrigation systems
dc.subjectcanals
dc.titleCapturing spatial variability of factors affecting the water allocation plans—a geo-informatics approach for large irrigation schemes
dc.typeJournal Article

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Instituto Internacional para el Manejo del Agua (IWMI)