干旱区生态环境知识资源中心(Arid): Application of geostatistical models to identify spatial distribution of groundwater quality parameters

Arid

DOI	10.1007/s11356-022-18639-8
	Application of geostatistical models to identify spatial distribution of groundwater quality parameters
	Farzaneh, Gita; Khorasani, Nematollah; Ghodousi, Jamal; Panahi, Mostafa
通讯作者	Khorasani, N (corresponding author)，Islamic Azad Univ, Dept Nat Resources & Environm, Sci & Res Branch, Tehran, Iran. ; Khorasani, N (corresponding author)，Univ Tehran, Dept Environm Sci, Fac Nat Resources, Karaj 3158777871, Iran.
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
出版年	2022-01
英文摘要	Groundwater quality management is a priority in arid and semi-arid zones where water is scarce. Leachate from open dumping of municipal solid wastes may threaten groundwater quality. This research aimed at assessing groundwater quality of the aquifer of Shur river basin in Tehran province, Iran. The pollution potential of leachate from a landfill, located at the center of the basin, was estimated to assess its impact on the aquifer. Samples from 38 wells and 2 leachate ponds around the landfill were analyzed for their physico-chemical parameters and heavy metals. Leachate Pollution Index (LPI) and Water Quality Index (WQI) were calculated and multivariate statistical techniques were employed through geostatistical models to predict the spatial variability of groundwater quality and assess its contamination sources. The groundwater quality map was developed by GIS Interface. LPI indicated that leachate from the closed cell (LPI = 36) was more contaminating than that of the active site (LPI = 25). Kriging and cokriging geostatistical interpolation methods were applied to groundwater quality parameters. The best interpolation model was then identified through cross-validation with RMSE and GSD criteria. Cokriging yielded more accurate results than kriging. Spatial distribution maps showed high groundwater contamination and degraded water quality mainly in the central part of the basin, where the landfill was. Also, 293.7 ha of the study area possessed poor and very poor water quality, unsuitable for drinking. This study implicated multiple approaches for groundwater quality assessment and estimated its spatial structure as an effort toward effective groundwater quality management in Shur river basin.
英文关键词	Groundwater quality Kriging Cokriging Physicochemical analysis Landfill
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000745590000006
WOS关键词	ARSENIC CONCENTRATION ; MUNICIPAL LANDFILL ; INFORMATION-SYSTEM ; WATER ; GIS ; RIVER ; LEACHATE ; INDEX ; SOIL ; BASIN
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377094
作者单位	[Farzaneh, Gita; Khorasani, Nematollah] Islamic Azad Univ, Dept Nat Resources & Environm, Sci & Res Branch, Tehran, Iran; [Khorasani, Nematollah] Univ Tehran, Dept Environm Sci, Fac Nat Resources, Karaj 3158777871, Iran; [Ghodousi, Jamal] Islamic Azad Univ, Fac Nat Resources & Environm, Dept Environm Management, Sci & Res Branch, Tehran, Iran; [Panahi, Mostafa] Islamic Azad Univ, Fac Nat Resources & Environm, Dept Energy Engn & Econ, Sci & Res Branch, Tehran, Iran
推荐引用方式 GB/T 7714	Farzaneh, Gita,Khorasani, Nematollah,Ghodousi, Jamal,et al. Application of geostatistical models to identify spatial distribution of groundwater quality parameters[J],2022.
APA	Farzaneh, Gita,Khorasani, Nematollah,Ghodousi, Jamal,&Panahi, Mostafa.(2022).Application of geostatistical models to identify spatial distribution of groundwater quality parameters.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.
MLA	Farzaneh, Gita,et al."Application of geostatistical models to identify spatial distribution of groundwater quality parameters".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022).