中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The spatial analysis, risk assessment and source identification for mercury in a typical area with multiple pollution sources in southern China

文献类型:期刊论文

作者Feng, Zhaohui2,3; Deng, Li1; Guo, Yikai1; Guo, Guanghui2; Wang, Lingqing2; Zhou, Guangjin2; Huan, Yizhong4; Liang, Tao2
刊名ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
出版日期2022-12-07
页码13
ISSN号0269-4042
关键词Mercury pollution Risk assessment Source identification Positive matrix factorization Self-organizing map
DOI10.1007/s10653-022-01436-0
通讯作者Wang, Lingqing(wanglq@igsnrr.ac.cn)
英文摘要Mercury (Hg) has always been a research hot spot because of its high toxicity. This study conducted in farmland near rare earth mining area and traffic facilities, which considered multiple pollution sources innovatively. It not only analyzed Hg spatial characteristics using inverse distance weighting and self-organizing map (SOM), but also assessed its pollution risk by potential ecological risk index (Er) as well as geoaccumulation index (I-geo), and identified the pollution sources with positive matrix factorization. The results showed that there was no heavy Hg pollution in most farmland, while a few sampling sites with Hg pollution were close to highway, railway station and petrol station in Xinfeng or in the farmland of Anyuan, which were divided into the cluster with highest Hg concentration in SOM. The vehicle exhaust emission and pesticide as well as fertilizer additions significantly contributed to the local Hg pollution. Besides, there was moderate pollution and high ecological risk in Anyuan assessed by I-geo and Er, respectively. In contrast, Xinfeng had the moderate and considerable ecological risks in a larger scale. The enriched Hg might harmed not only the nearby ecological environment, but also the human health when it entered human body through food chain. The three factors that contributed to mercury concentration in this area according to positive matrix factorization were natural source, traffic source and agricultural source, respectively. This study about Hg pollution in the typical area would provide scientific evidence for the particular treatment of Hg pollution from various pollution sources like traffic source, agricultural source, etc.
WOS关键词HEAVY-METAL CONTAMINATION ; SELF-ORGANIZING MAP ; SOURCE APPORTIONMENT ; HEALTH-RISK ; FOOD-CHAIN ; SOILS ; MULTIVARIATE ; TOXICITY ; ELEMENTS ; IMPACT
资助项目Qinghai Province Key Research and Development and Transformation Program[2023-QY-205] ; Jiangxi Province Key Research and Development Project[20212BBG73017]
WOS研究方向Engineering ; Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Water Resources
语种英语
出版者SPRINGER
WOS记录号WOS:000895010300001
资助机构Qinghai Province Key Research and Development and Transformation Program ; Jiangxi Province Key Research and Development Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/188126]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Lingqing
作者单位1.Ecol Environm Planning & Environm Protect Technol, Xining 810007, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Tsinghua Univ, Sch Publ Policy & Management, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714
Feng, Zhaohui,Deng, Li,Guo, Yikai,et al. The spatial analysis, risk assessment and source identification for mercury in a typical area with multiple pollution sources in southern China[J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,2022:13.
APA Feng, Zhaohui.,Deng, Li.,Guo, Yikai.,Guo, Guanghui.,Wang, Lingqing.,...&Liang, Tao.(2022).The spatial analysis, risk assessment and source identification for mercury in a typical area with multiple pollution sources in southern China.ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,13.
MLA Feng, Zhaohui,et al."The spatial analysis, risk assessment and source identification for mercury in a typical area with multiple pollution sources in southern China".ENVIRONMENTAL GEOCHEMISTRY AND HEALTH (2022):13.

入库方式: OAI收割

来源:地理科学与资源研究所

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