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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Vydáno v:	Water research (Oxford) Ročník 201; s. 117309
Hlavní autoři:	Huang, Jiacong, Zhang, Yinjun, Bing, Haijian, Peng, Jian, Dong, Feifei, Gao, Junfeng, Arhonditsis, George B.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.08.2021
Témata:	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
On-line přístup:	Získat plný text
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