Arid
DOI10.1007/s10668-022-02403-6
Groundwater quality risk assessment using hydro-chemical and geospatial analysis
Farid, Hafiz Umar; Ayub, Hafiz Usman; Khan, Zahid Mahmood; Ahmad, Ijaz; Anjum, Muhammad Naveed; Kanwar, Rana Muhammad Asif; Mubeen, Muhammad; Sakinder, Pervaiz
通讯作者Ahmad, I
来源期刊ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
ISSN1387-585X
EISSN1573-2975
出版年2023
卷号25期号:8页码:8343-8365
英文摘要Groundwater quality risk assessment is vital to protect this precious resource, because increasing anthropogenic and agricultural activities combined with limited precipitation deteriorate the groundwater quality particularly in the arid regions. Therefore, the assessment of groundwater quality using hydro-chemical and spatial analysis can provide the guidelines for efficient management of groundwater resources. In present study, a total of 87 samples were collected from various pumping wells in district Multan, Pakistan. These samples were analysed for groundwater quality parameters like electrical conductivity (EC), total dissolve solids (TDS), pH, Na+, Ca2+ + Mg2+, Cl-, CO3,2- HCO3-, sodium adsorption ratio (SAR), sodium percentage (Na%), total hardness (TH), residual sodium carbonate (RSC) and Kelly's ratio (KR). The Wilcox, United States Salinity Laboratory (USSL) and permeability index (PI) diagrams were drawn to classify the water into excellent, good, marginal and poor-quality groundwater for irrigation obligatory. Using the ArcGIS vs 10, an ordinary kriging method with best fit semivariogram model was applied for preparation of spatial distribution maps. According to Wilcox classification, 40% of groundwater samples fall in 'Excellent to a Good' category. USSL diagram showed that 27% of groundwater samples fall in 'Medium Salinity' and 'Low sodium hazard' (C2S1) class. The PI values were found in the range of 22 to 95 meq/L with an average value of 58.5 meq/L. Similarly, the spatial analysis showed that upper part (northeast and northwest) of the Multan District have good quality of groundwater for irrigation. Furthermore, the finding may help to make the spatial management decision for groundwater in the region.
英文关键词Irrigation Groundwater quality Salinization sodification Permissible limit Spatial distribution analysis
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000795768100002
WOS关键词WATER-QUALITY ; RIVER-BASIN ; IRRIGATION ; DRINKING ; CONTAMINATION ; DISTRICT ; PRADESH ; GIS ; PARAMETERS ; APPRAISAL
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/396086
推荐引用方式
GB/T 7714
Farid, Hafiz Umar,Ayub, Hafiz Usman,Khan, Zahid Mahmood,et al. Groundwater quality risk assessment using hydro-chemical and geospatial analysis[J],2023,25(8):8343-8365.
APA Farid, Hafiz Umar.,Ayub, Hafiz Usman.,Khan, Zahid Mahmood.,Ahmad, Ijaz.,Anjum, Muhammad Naveed.,...&Sakinder, Pervaiz.(2023).Groundwater quality risk assessment using hydro-chemical and geospatial analysis.ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY,25(8),8343-8365.
MLA Farid, Hafiz Umar,et al."Groundwater quality risk assessment using hydro-chemical and geospatial analysis".ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY 25.8(2023):8343-8365.
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