Characterizing the river water quality in China: Recent progress and on-going challenges

•Patterns and drivers of China's river water quality during 2003–2018 were characterized.•Total phosphorus and ammonia are collectively responsible for >85% of poor water quality.•Water quality impairments are predominantly shaped by anthropogenic drivers (>75%).•Bayesian model is robust...

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Veröffentlicht in:	Water research (Oxford) Jg. 201; S. 117309
Hauptverfasser:	Huang, Jiacong, Zhang, Yinjun, Bing, Haijian, Peng, Jian, Dong, Feifei, Gao, Junfeng, Arhonditsis, George B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2021
Schlagworte:	ammonium nitrogen Bayesian modelling Bayesian theory China data collection Eutrophication food production heavy metals landscapes light intensity nonpoint source pollution riparian areas river water River water quality rivers surface water total phosphorus Urbanization water quality Watershed management watersheds China River water quality Urbanization Watershed management Bayesian modelling Eutrophication
ISSN:	0043-1354, 1879-2448, 1879-2448
Online-Zugang:	Volltext
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