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Modelling and Assessment of Irrigation Water Quality Index Using GIS in Semi-arid Region for Sustainable Agriculture

Water, air, and soil pollution, 2021-09, Vol.232 (9), Article 352 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 ;COPYRIGHT 2021 Springer ;The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021. ;ISSN: 0049-6979 ;EISSN: 1573-2932 ;DOI: 10.1007/s11270-021-05310-0

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Title:
Modelling and Assessment of Irrigation Water Quality Index Using GIS in Semi-arid Region for Sustainable Agriculture
Author: El Behairy, Radwa A. ; El Baroudy, Ahmed A. ; Ibrahim, Mahmoud M. ; Kheir, Ahmed M. S. ; Shokr, Mohamed S.
Subjects: Agriculture ; Algorithms ; Analysis ; Aquatic resources ; Arid regions ; Arid zones ; Atmospheric Protection/Air Quality Control/Air Pollution ; Climate Change/Climate Change Impacts ; Contamination ; Copper ; Decision making ; Earth and Environmental Science ; Environment ; Environmental risk ; Geographic information systems ; Geographical information systems ; Heavy metals ; Hydrogeology ; Information systems ; Irrigation ; Irrigation water ; Management ; Nickel ; Permeability ; Pollutant load ; Pollution ; Pollution index ; Pollution load ; Quality assessment ; Remote sensing ; Risk ; Salinity ; Semi arid areas ; Semiarid lands ; Soil Science & Conservation ; Surface water ; Sustainability ; Sustainable agriculture ; Toxic hazards ; Toxicity ; Water ; Water analysis ; Water consumption ; Water management ; Water quality ; Water quality management ; Water Quality/Water Pollution ; Water resources ; Water resources management ; Water samples ; Water sampling ; Zinc
Is Part Of: Water, air, and soil pollution, 2021-09, Vol.232 (9), Article 352
Description: Agriculture is the largest consumer of water, particularly in arid and semi-arid regions, so identifying and managing surface water quality in these areas is critical to preserving water resources and ensuring sustainable agriculture. Irrigation water quality (IWQ) assessment integrated with geographic information system (GIS) of West Nile Delta, Egypt, was carried out using suitability indicators such as hazards of salinity, permeability hazard, specific ion toxicity, and miscellaneous impacts on sensitive crops. In ArcGIS 10.7, inverse distance-weighted algorithms and the Model Builder function were used to categorize irrigation water quality into different classes. According to the findings, 87% and 13% of the water samples from the study area were categorized as medium and high suitability for irrigation, respectively. The heavy metal pollution index (HPI), Nemerow index (NeI), ecological risks of heavy metal index (ERI), heavy metal evaluation index (HEI), pollution load index (PLI), and modified degree of contamination (mCd) for five selected metals, namely As, Co, Cu, Ni, and Zn, were calculated to assess heavy metal contamination levels in the study area. The results showed that HPI had 3.7% medium contamination and 96.3% high contamination; NeI was 7.4% moderately contaminated and 92.6% heavily contaminated; ERI has almost 7% low risk, 30% moderate risk, 41% considerable risk, and 22% very high risk; HEI had 100% low contamination; PLI was 100% polluted; and mCd has 18.5% moderately-heavily polluted, 63% heavily polluted, and 18.5% severely polluted samples. This research can help decision-makers manage water resources more effectively for sustainable agriculture.
Publisher: Cham: Springer International Publishing
Language: English
Identifier: ISSN: 0049-6979
EISSN: 1573-2932
DOI: 10.1007/s11270-021-05310-0
Source: ProQuest Central

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Modelling and Assessment of Irrigation Water Quality Index Using GIS in Semi-arid Region for Sustainable Agriculture

The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 ;COPYRIGHT 2021 Springer ;The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021. ;ISSN: 0049-6979 ;EISSN: 1573-2932 ;DOI: 10.1007/s11270-021-05310-0

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