Spatio-temporal variation and dynamic risk assessment of drought and flood disaster (DFD) in China

大洪水 中国 地理 空间分布 脆弱性(计算) 危害 自然地理学 分布(数学) 自然灾害 共同空间格局 自然灾害 水资源管理 环境科学 气象学 生态学 遥感 计算机科学 生物 数学分析 考古 计算机安全 数学
作者
Huiying Sun,Zhenhua Di,Peihua Qin,Shenglei Zhang,Yang Lang
出处
期刊:International journal of disaster risk reduction [Elsevier]
卷期号:100: 104140-104140 被引量:4
标识
DOI:10.1016/j.ijdrr.2023.104140
摘要

It is important to understand the variations of Drought-Flood-Disaster (DFD) from the past to future for disaster management decision-making under the backdrop of global warming. This study explored the spatio-temporal variations of DFD risks in China from the past (2000–2020) to future (2020–2100) based on the natural and socio-economic datasets. The main findings include: (1) The spatial pattern of disaster vulnerability decreased from 2000 to 2100. The overall vulnerability distribution showed a spatial pattern of high east and low west, and its eastern distribution presented high north and low south. (2) The drought hazard danger degree showed a trend of decreasing first and then increasing with obvious spatial heterogeneity. The flood hazard danger degree had a decreasing spatial distribution from southeast to northwest, with an overall gradually increasing trend. (3) The DFD risks showed a spatial pattern of high east and low west, and were more closely related to disaster vulnerability. Overall, the flood and drought risks had good consistency at the highest level (VI), mainly distributed in the North China Plain, Northeast Plain, eastern Sichuan, and southern Guangdong. This level means that the most severe damage to life and property will occur in these regions. (4) The DFD showed the direction of "north(east)-south(west)", and the main axis of the ellipse moved north eventually. The DFD hot spots were mainly distributed in North China and the middle and lower reaches of the Yangtze River. The DFD cold spots were mainly distributed in the southwest, Qinghai-Tibet region, and Gansu province.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
Zhilin发布了新的文献求助10
刚刚
2秒前
缪忆寒发布了新的文献求助10
3秒前
小蘑菇应助Wang采纳,获得10
3秒前
一念之间发布了新的文献求助10
3秒前
树酱完成签到,获得积分10
4秒前
RW乾完成签到,获得积分10
5秒前
6秒前
JIE发布了新的文献求助10
6秒前
9秒前
雪泥鸿爪发布了新的文献求助10
11秒前
研友_VZG7GZ应助彩色山河采纳,获得10
12秒前
14秒前
慕青应助Alan采纳,获得10
15秒前
佳佳完成签到,获得积分10
16秒前
17秒前
小金毛大人驾到完成签到,获得积分10
18秒前
千日粉发布了新的文献求助10
19秒前
超级泽洋发布了新的文献求助10
20秒前
yuaaaann完成签到,获得积分10
21秒前
艾米发布了新的文献求助10
21秒前
yidezeng完成签到,获得积分10
22秒前
llzuo发布了新的文献求助10
22秒前
研友_Z6k7B8完成签到 ,获得积分10
22秒前
Owen应助科研通管家采纳,获得10
23秒前
科研通AI2S应助科研通管家采纳,获得10
23秒前
酷波er应助科研通管家采纳,获得10
24秒前
CodeCraft应助科研通管家采纳,获得10
24秒前
香蕉觅云应助科研通管家采纳,获得30
24秒前
科研通AI2S应助科研通管家采纳,获得10
24秒前
Orange应助科研通管家采纳,获得10
24秒前
汉堡包应助科研通管家采纳,获得10
24秒前
wanci应助科研通管家采纳,获得30
24秒前
科研通AI2S应助科研通管家采纳,获得10
24秒前
Akim应助科研通管家采纳,获得10
24秒前
一石二鸟应助科研通管家采纳,获得10
24秒前
在水一方应助科研通管家采纳,获得10
24秒前
深情安青应助科研通管家采纳,获得10
24秒前
研友_VZG7GZ应助科研通管家采纳,获得10
25秒前
Orange应助科研通管家采纳,获得10
25秒前
高分求助中
The Oxford Handbook of Social Cognition (Second Edition, 2024) 1050
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Chen Hansheng: China’s Last Romantic Revolutionary 500
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3141001
求助须知:如何正确求助?哪些是违规求助? 2791912
关于积分的说明 7800960
捐赠科研通 2448184
什么是DOI,文献DOI怎么找? 1302459
科研通“疑难数据库(出版商)”最低求助积分说明 626588
版权声明 601226