Scarcity and quality risks for future global urban water supply

稀缺 景观生态学 自然保护 环境规划 可持续发展 质量(理念) 缺水 环境资源管理 自然资源经济学 环境科学 业务 生态学 水资源 经济 生物 哲学 认识论 栖息地 微观经济学
作者
Zhifeng Liu,Jiahe Ying,Chunyang He,Dongjie Guan,Xinhao Pan,Yihua Dai,Binghua Gong,Keren He,Caifeng Lv,Xin Wang,Jingyu Lin,Yanxu Liu,Brett A. Bryan
出处
期刊:Landscape Ecology [Springer Science+Business Media]
卷期号:39 (2) 被引量:35
标识
DOI:10.1007/s10980-024-01832-0
摘要

Abstract Context Supply of freshwater to the world’s cities is increasingly affected by human pressures and climate change. Understanding the effects of human pressures and climate change on global urban water scarcity and quality risks in an integrated way is important. Objectives The objective of this study is to assess the scarcity and quality risks to water security for 304 large cities (population > 1 million) across the world for 2015 and 2050. Methods We assessed the water scarcity according to water demand and availability, and evaluated the quality of water supply in terms of the population density, cropland fertilization, and landscape patterns in source watersheds. In addition, the impacts of human pressures and climate change on urban water risks were quantified using contribution analysis. Results We found that about 90% of these cities faced water risks in 2015. The number of cities facing quality risk was about three times the number of cities facing scarcity risk, and nearly a quarter faced dual risks. From 2015 to 2050, 88.8–99.7% of cities were projected to face rising water risks with about one-third facing dual risks by 2050. Increase in water demand was the main cause of rising scarcity risk; growth in population and crop fertilization in source watersheds were the main reasons for rising quality risk. Conclusions There is an urgent need to promote landscape conservation of urban water source areas, implement sustainable urban water planning and governance, improve water supply infrastructure, and refine ecological compensation regimes to achieve global urban water security.
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
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
刚刚
清脆的秋柔完成签到 ,获得积分10
1秒前
TingweiHuang的应助被正直三颜采纳,获得10
2秒前
和我一起发布了新的文献求助20
2秒前
3秒前
liangwanwan发布了新的文献求助10
4秒前
xing_xing的应助被Dong采纳,获得50
4秒前
5秒前
LHNini发布了新的文献求助10
5秒前
6秒前
无私绝音完成签到,获得积分10
6秒前
7秒前
7秒前
8秒前
JamesPei的应助被苏言采纳,获得10
9秒前
立麦完成签到,获得积分10
9秒前
10秒前
shwss715发布了新的文献求助10
11秒前
立麦发布了新的文献求助10
12秒前
danhbuh完成签到,获得积分10
12秒前
科研通AI6.2的应助被FakeFish采纳,获得10
12秒前
13秒前
13秒前
orixero的应助被Awen采纳,获得10
14秒前
15秒前
氼乚发布了新的文献求助10
16秒前
17秒前
17秒前
顺利松鼠完成签到 ,获得积分10
17秒前
苏言完成签到,获得积分10
17秒前
lin完成签到,获得积分20
18秒前
18秒前
零a发布了新的文献求助10
19秒前
Zhou发布了新的文献求助10
19秒前
Zhou发布了新的文献求助10
19秒前
Zhou发布了新的文献求助10
19秒前
水溶C发布了新的文献求助10
19秒前
科研通AI6.2的应助被master采纳,获得10
20秒前
21秒前
22秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Student's Guide to Social Neuroscience 600
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7811081
求助须知:如何正确求助?哪些是违规求助? 9342785
关于积分的说明 20514212
捐赠科研通 7403993
什么是DOI,文献DOI怎么找? 3329655
关于科研通互助平台的介绍 2476408
邀请新用户注册赠送积分活动 2348584