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!

Satellite imaging reveals increased proportion of population exposed to floods

大洪水 人口 气候变化 洪水(心理学) 脆弱性(计算) 地理 生计 卫星图像 环境科学 自然地理学 遥感 农业 人口学 地质学 计算机科学 考古 社会学 海洋学 心理治疗师 计算机安全 心理学
作者
Beth Tellman,Jonathan A. Sullivan,C Kuhn,Albert J. Kettner,Colin Doyle,G. Robert Brakenridge,Tyler Erickson,D. A. Slayback
出处
期刊:Nature [Nature Portfolio]
卷期号:596 (7870): 80-86 被引量:1141
标识
DOI:10.1038/s41586-021-03695-w
摘要

Flooding affects more people than any other environmental hazard and hinders sustainable development1,2. Investing in flood adaptation strategies may reduce the loss of life and livelihood caused by floods3. Where and how floods occur and who is exposed are changing as a result of rapid urbanization4, flood mitigation infrastructure5 and increasing settlements in floodplains6. Previous estimates of the global flood-exposed population have been limited by a lack of observational data, relying instead on models, which have high uncertainty3,7–11. Here we use daily satellite imagery at 250-metre resolution to estimate flood extent and population exposure for 913 large flood events from 2000 to 2018. We determine a total inundation area of 2.23 million square kilometres, with 255–290 million people directly affected by floods. We estimate that the total population in locations with satellite-observed inundation grew by 58–86 million from 2000 to 2015. This represents an increase of 20 to 24 per cent in the proportion of the global population exposed to floods, ten times higher than previous estimates7. Climate change projections for 2030 indicate that the proportion of the population exposed to floods will increase further. The high spatial and temporal resolution of the satellite observations will improve our understanding of where floods are changing and how best to adapt. The global flood database generated from these observations will help to improve vulnerability assessments, the accuracy of global and local flood models, the efficacy of adaptation interventions and our understanding of the interactions between landcover change, climate and floods. Satellite imagery for the period 2000–2018 reveals that population growth was greater in flood-prone regions than elsewhere, thus exposing a greater proportion of the population to floods.
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
galaxy_zzz完成签到,获得积分10
2秒前
3秒前
英俊的铭应助杭黎昕采纳,获得10
4秒前
Akim应助杭黎昕采纳,获得10
4秒前
香蕉觅云应助杭黎昕采纳,获得10
4秒前
无花果应助杭黎昕采纳,获得10
4秒前
CodeCraft应助杭黎昕采纳,获得10
4秒前
脑洞疼应助杭黎昕采纳,获得10
5秒前
orixero应助杭黎昕采纳,获得10
5秒前
苹果万恶完成签到 ,获得积分10
5秒前
充电宝应助杭黎昕采纳,获得10
5秒前
丘比特应助杭黎昕采纳,获得10
5秒前
英姑应助杭黎昕采纳,获得10
5秒前
诸葛亮晶晶完成签到,获得积分10
5秒前
爆米花应助LA排骨采纳,获得10
6秒前
7秒前
无数发布了新的文献求助10
8秒前
李健的粉丝团团长应助xuan采纳,获得30
10秒前
爆米花应助无私的元霜采纳,获得10
10秒前
清脆如风完成签到 ,获得积分10
11秒前
11秒前
今后应助暖七之雨采纳,获得10
11秒前
汉堡包应助等待的剑身采纳,获得10
13秒前
13秒前
机灵凝阳完成签到 ,获得积分10
13秒前
宇你同在发布了新的文献求助10
14秒前
14秒前
15秒前
15秒前
南墙杀手完成签到 ,获得积分10
16秒前
李青荷发布了新的文献求助30
16秒前
16秒前
SunFlower完成签到,获得积分10
17秒前
fym发布了新的文献求助10
17秒前
本之上课发布了新的文献求助10
18秒前
18秒前
回鱼发布了新的文献求助10
18秒前
最爱是秋天啊完成签到,获得积分10
19秒前
欢呼金鱼发布了新的文献求助10
19秒前
19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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7604398
求助须知:如何正确求助?哪些是违规求助? 9180283
关于积分的说明 19661255
捐赠科研通 7179519
什么是DOI,文献DOI怎么找? 3269377
关于科研通互助平台的介绍 2433373
邀请新用户注册赠送积分活动 2263437