干旱区生态环境知识资源中心(Arid): Determination of the spatial correlation characteristics for selected groundwater pollutants using the geographically weighted regression model: A case study in Weinan, Northwest China

Arid

DOI	10.1080/10807039.2022.2124400
	Determination of the spatial correlation characteristics for selected groundwater pollutants using the geographically weighted regression model: A case study in Weinan, Northwest China
	Li, Fan; Wu, Jianhua; Xu, Fei; Yang, Yongqiang; Du, Qianqian
通讯作者	Wu, JH
来源期刊	HUMAN AND ECOLOGICAL RISK ASSESSMENT
ISSN	1080-7039
EISSN	1549-7860
出版年	2023
卷号	29 期号:2 页码:471-493
英文摘要	Groundwater pollution is a serious issue in arid and semi-arid regions. In this study, the ordinary least squares (OLS) regression and geographically weighted regression (GWR) model were used to assess the relationship between hydrochemical parameters (NO3-N, NO2-N, NH4-N, and F-) and explanatory variables related to anthropogenic and natural factors, including elevation, slope, population density, groundwater electrical conductivity, groundwater pH, and land use in the Weinan region of China. The results showed that NO3-N, NH4-N, and F- at 24, 4, and 54% of the samples exceeded the standard limits, respectively. Crop fields, grassland, and forest are the most common land use types in the study area, accounting for 62.84, 16.77, and 8.76%, respectively. The effects of explanatory variables on groundwater quality show strong spatial variation. Both positive and negative correlations were observed between groundwater nitrogen (NO2-N, NO3-N) and orchard, and between F- and crop field. The water area has significant impacts on NH4-N in Pucheng, Fuping and Linwei districts. The GWR model also suggested significant effects of water and orchard areas on groundwater NO2-N concentration in western Fuping County and eastern Dali County, which was neglected by the OLS model. The research shows advantages of the GWR model in capturing local variation.
英文关键词	Groundwater pollution land use nitrate geographically weighted regression water quality
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000858438800001
WOS关键词	WATER-QUALITY ; LAND-USE ; VARYING RELATIONSHIPS ; VULNERABILITY ASSESSMENT ; NITRATE CONTAMINATION ; URBANIZATION GRADIENT ; AGRICULTURAL LAND ; AQUIFER ; POLLUTION ; PATTERNS
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396856
推荐引用方式 GB/T 7714	Li, Fan,Wu, Jianhua,Xu, Fei,et al. Determination of the spatial correlation characteristics for selected groundwater pollutants using the geographically weighted regression model: A case study in Weinan, Northwest China[J],2023,29(2):471-493.
APA	Li, Fan,Wu, Jianhua,Xu, Fei,Yang, Yongqiang,&Du, Qianqian.(2023).Determination of the spatial correlation characteristics for selected groundwater pollutants using the geographically weighted regression model: A case study in Weinan, Northwest China.HUMAN AND ECOLOGICAL RISK ASSESSMENT,29(2),471-493.
MLA	Li, Fan,et al."Determination of the spatial correlation characteristics for selected groundwater pollutants using the geographically weighted regression model: A case study in Weinan, Northwest China".HUMAN AND ECOLOGICAL RISK ASSESSMENT 29.2(2023):471-493.