中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A holistic assessment of spatiotemporal variation, driving factors, and risks influencing river water quality in the northeastern Qinghai-Tibet Plateau

文献类型:期刊论文

作者Wang, Xueping1,2; Liu, Xiaojie1; Wang, Lingqing1,2; Yang, Jun1; Wan, Xiaoming1; Liang, Tao1,2
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2022-12-10
卷号851页码:12
关键词Water quality index Driving factor Risk assessment Spatial-temporal patterns Qinghai-Tibet Plateau
ISSN号0048-9697
DOI10.1016/j.scitotenv.2022.157942
通讯作者Wang, Lingqing(wanglq@igsnrr.ac.cn)
英文摘要The Qinghai-Tibet Plateau (QTP) is the source for many of the most important rivers in Asia. It is also an essential eco-logical barrier in China and has the characteristic of regional water conservation. Given this importance, we analyzed the spatiotemporal distribution patterns and trends of 10 water quality parameters. These measurements were taken monthly from 67 monitoring stations in the northeastern QTP from 2015 to 2019. To evaluate water quality trends, major factors influencing water quality, and water quality risks, we used a series of analytical approaches including Mann-Kendall test, Boruta algorithm, and interval fuzzy number-based set-pair analysis (IFN-SPA). The results re-vealed that almost all water monitoring stations in the northeastern QTP were alkaline. From 2015 to 2019, the water temperature and dissolved oxygen of most monitoring stations were significantly reduced. Chemical oxygen de-mand, permanganate index, five-day biochemical oxygen demand, total phosphorus, and fluoride all showed a down-ward trend across this same time frame. The annual average total nitrogen (TN) concentration fluctuation did not significantly decrease across the measured time frame. Water quality index (WQI-DET) indicated bad or poor water quality in the study area; however, water quality index without TN (WQI-DET ') reversed the water quality value. The difference between the two indexes suggested that TN was a significant parameter affecting river water quality in the northeastern QTP. Both Spearman correlation and Boruta algorithm show that elevation, urban land, cropland, temperature, and precipitation influence the overall water quality status in the northeastern QTP. The results showed that between 2015 and 2019, most rivers monitored had a relatively low risk of degradation in water quality. This study provides a new perspective on river water quality management, pollutant control, and risk assessment in an area like the QTP that has sensitive and fragile ecology.
WOS关键词CLIMATE-CHANGE IMPACTS ; LAND-USE ; MANN-KENDALL ; REGION ; CATCHMENT ; DYNAMICS ; BLOOMS ; COVER ; CHINA ; LAKES
资助项目National Natural Science Foundation of China[42173064] ; National Science & Technology Infrastructure of China
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000861087300014
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; National Science & Technology Infrastructure of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/184899]  
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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Wang, Xueping,Liu, Xiaojie,Wang, Lingqing,et al. A holistic assessment of spatiotemporal variation, driving factors, and risks influencing river water quality in the northeastern Qinghai-Tibet Plateau[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2022,851:12.
APA Wang, Xueping,Liu, Xiaojie,Wang, Lingqing,Yang, Jun,Wan, Xiaoming,&Liang, Tao.(2022).A holistic assessment of spatiotemporal variation, driving factors, and risks influencing river water quality in the northeastern Qinghai-Tibet Plateau.SCIENCE OF THE TOTAL ENVIRONMENT,851,12.
MLA Wang, Xueping,et al."A holistic assessment of spatiotemporal variation, driving factors, and risks influencing river water quality in the northeastern Qinghai-Tibet Plateau".SCIENCE OF THE TOTAL ENVIRONMENT 851(2022):12.

入库方式: OAI收割

来源:地理科学与资源研究所

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