已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

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

水质 环境科学 富营养化 城市化 分水岭 中国 地表水 水资源管理 污染 营养物 水文学(农业) 环境保护 地理 生态学 环境工程 生物 工程类 机器学习 考古 岩土工程 计算机科学
作者
Jiacong Huang,Yinjun Zhang,Haijian Bing,Jian Peng,Feifei Dong,Junfeng Gao,George B. Arhonditsis
出处
期刊:Water Research [Elsevier]
卷期号:201: 117309-117309 被引量:363
标识
DOI:10.1016/j.watres.2021.117309
摘要

Food production systems, urbanization, and other anthropogenic activities dramatically alter natural hydrological and nutrient cycles, and are primarily responsible for water quality impairments in China's rivers. This study compiled a 16-year (2003-2018) dataset of river water quality (161,337 records from 2424 sites), watershed/landscape features, and meteorological conditions to investigate the spatial water quality patterns and underlying drivers of river impairment (defined as water quality worse than Class V according to China's Environmental Quality Standards for Surface Waters, GB3838-2002) at a national scale. Our analysis provided evidence of a distinct water quality improvement with a gradual decrease in the frequency of prevalence of anoxic conditions, an alleviation of the severity of heavy metal pollution, whereas the cultural eutrophication has only been moderately mitigated between 2003 and 2018. We also identified significant spatial variation with relatively poorer water quality in eastern China, where 17.2% of the sampling sites registered poor water quality conditions, compared with only 4.6% in western China. Total phosphorus (TP) and ammonia-nitrogen (NH3-N) are collectively responsible for >85% of the identified incidences of impaired conditions. Bayesian modelling was used to delineate the most significant covariates of TP/NH3-N riverine levels in six large river basins (Liao, Hai, Yellow, Yangtze, Huai, and Pearl). Water quality impairments are predominantly shaped by anthropogenic drivers (82.5% for TP, 79.5% for NH3-N), whereas natural factors appear to play a secondary role (20.5% for TP, 17.5% for NH3-N). Two indicator variables of urbanization (urban areal extent and nighttime light intensity) and farmland areal extent were the strongest predictors of riverine TP/NH3-N levels and collectively accounted for most of the ambient nutrient variability. We concluded that there is still a long way to go in order to eradicate eutrophication and realize acceptable ecological conditions. The design of the remedial measures must be tailored to the site-specific landscape characteristics, meteorological conditions, and should also consider the increasing importance of non-point source pollution and internal nutrient loading.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
华仔应助科研通管家采纳,获得10
4秒前
西风漂流应助科研通管家采纳,获得10
4秒前
桐桐应助科研通管家采纳,获得10
5秒前
kentonchow应助科研通管家采纳,获得50
5秒前
星辰大海应助科研通管家采纳,获得10
5秒前
5秒前
今后应助科研通管家采纳,获得10
5秒前
Akim应助不知终日梦为鱼采纳,获得10
5秒前
Canon发布了新的文献求助10
5秒前
7秒前
zhonglv7应助核桃采纳,获得10
8秒前
Eatanicecube完成签到,获得积分10
10秒前
xxfsx应助桶桶要好好学习采纳,获得10
10秒前
深情的羞花完成签到 ,获得积分10
12秒前
科研通AI2S应助追寻夜香采纳,获得10
13秒前
我不到啊完成签到 ,获得积分10
13秒前
左肩微笑发布了新的文献求助10
14秒前
14秒前
深情安青应助壮观小懒虫采纳,获得10
14秒前
lxh完成签到 ,获得积分10
15秒前
万能图书馆应助添添采纳,获得10
20秒前
Canon完成签到,获得积分20
22秒前
iron完成签到,获得积分10
22秒前
Lucas应助左肩微笑采纳,获得10
22秒前
星辰大海应助晨曦呢采纳,获得10
24秒前
清一完成签到,获得积分10
26秒前
僦是卜够完成签到,获得积分10
27秒前
momo完成签到 ,获得积分10
28秒前
诸葛平卉完成签到 ,获得积分10
28秒前
逮劳完成签到 ,获得积分10
30秒前
害羞的书芹完成签到,获得积分10
32秒前
33秒前
aimynora完成签到 ,获得积分10
34秒前
sxl完成签到,获得积分10
35秒前
zhang完成签到,获得积分10
35秒前
37秒前
小马甲应助lucky采纳,获得10
41秒前
jingutaimi完成签到,获得积分10
42秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
上海破产法庭破产实务案例精选(2019-2024) 500
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5476197
求助须知:如何正确求助?哪些是违规求助? 4577817
关于积分的说明 14362993
捐赠科研通 4505761
什么是DOI,文献DOI怎么找? 2468812
邀请新用户注册赠送积分活动 1456457
关于科研通互助平台的介绍 1430101