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Influential factors detection for surface water quality with geographical detectors in China
Wang, Jiaxin1,2; Hu, Maogui1,4; Zhang, Fengsong1; Gao, Bingbo3
2018-09-01
Source PublicationSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
ISSN1436-3240
Volume32Issue:9Pages:2633-2645
Corresponding AuthorHu, Maogui(humg@lreis.ac.cn)
AbstractSurface water quality is a matter of serious concern in China. This study quantitatively analyzes the spatial-temporal characteristics of surface water quality among 100 monitoring stations in China during 2015. A geographical detector was used to detect the influential annual and seasonal factors. Surface water quality is primarily controlled by the content of nutrient pollutants and organic pollutants. Natural factors (precipitation, temperature, soil erosion, and terrain) and anthropogenic factors [land use type, population density, and per capita gross domestic product (GDP-per-capita)] were selected as geographical proxies to be tested for their explanatory power for surface water quality. Results indicated that the top three factors influencing the annual mean of nutrient pollutants were the population density, terrain, and precipitation, the explanatory power of which was 0.82, 0.35, and 0.24, respectively. The interactive explanatory power for population density and terrain was 0.88 and for population density and precipitation was 0.87, both exhibiting enhanced interaction relationships. The top three factors influencing the annual mean of organic pollutants were population density, temperature, and basin, the explanatory power of which was 0.46, 0.29, and 0.27, respectively. The interactive explanatory power for population density and basin was 0.80 and for terrain and precipitation was 0.82, both demonstrating a nonlinear enhanced interaction relationship. For seasonal changes, the nutrient pollutants and organic pollutants were both affected by agricultural runoff due to seasonal farming. This study revealed that anthropogenic factors influenced surface water quality two to three times more than natural factors.
KeywordSurface water quality Spatial-temporal analysis Geographical Detector CCME-WQI
DOI10.1007/s00477-018-1532-2
WOS KeywordMULTIVARIATE STATISTICAL TECHNIQUES ; RIVER-BASIN ; LAND-USE ; TEMPORAL VARIATIONS ; RISK-ASSESSMENT ; CLIMATE-CHANGE ; INDEXES ; IDENTIFICATION ; POLLUTION ; ESTUARINE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41771434] ; National Natural Science Foundation of China[41531179] ; Project of Cultivation and Development for Science and Technology Innovation Base of Beijing[Z161100005016110]
Funding OrganizationNational Natural Science Foundation of China ; Project of Cultivation and Development for Science and Technology Innovation Base of Beijing
WOS Research AreaEngineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources
WOS SubjectEngineering, Environmental ; Engineering, Civil ; Environmental Sciences ; Statistics & Probability ; Water Resources
WOS IDWOS:000442996700012
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54307
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHu, Maogui
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Wang, Jiaxin,Hu, Maogui,Zhang, Fengsong,et al. Influential factors detection for surface water quality with geographical detectors in China[J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,2018,32(9):2633-2645.
APA Wang, Jiaxin,Hu, Maogui,Zhang, Fengsong,&Gao, Bingbo.(2018).Influential factors detection for surface water quality with geographical detectors in China.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,32(9),2633-2645.
MLA Wang, Jiaxin,et al."Influential factors detection for surface water quality with geographical detectors in China".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 32.9(2018):2633-2645.
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