中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Antecedent snowmelt and orographic precipitation contributions to water supply of Pakistan disastrous floods, 2022

文献类型:期刊论文

作者Wang, Yan2; Cui, Peng1,2; Zhang, Chen-Di2; Zhang, Guo-Tao2; Hao, Jian-Sheng2; Yuan, Xu3; Jiang, Yao-Zhi4; Wang, Lu5
刊名ADVANCES IN CLIMATE CHANGE RESEARCH
出版日期2024-06-01
卷号15期号:3页码:419-430
关键词Extreme heavy rainfall Snowmelt Orographic precipitation Floods Pakistan
DOI10.1016/j.accre.2023.12.002
产权排序1
文献子类Article
英文摘要In 2022, the Pakistan witnessed the hottest spring and wettest summer in history. And devastating floods inundated a large portion of Pakistan and caused enormous damages. However, the primary water source and its contributions to these unprecedented floods remain unclear. Based on the reservoir inflow measurements, Multi-Source Weighted-Ensemble Precipitation (MSWEP), the fifth generation ECMWF atmospheric reanalysis (ERA5) products, this study quantified the contributions of monsoon precipitation, antecedent snowmelts, and orographic precipitation enhancement to floods in Pakistan. We found that the Indus experienced at least four inflow uprushes, which was mainly supplied by precipitation and snowmelt; In upper Indus, abnormally high temperature continued to influence the whole summer and lead to large amounts of snowmelts which not only was a key water supply to the flood but also provided favorable soil moisture conditions for the latter precipitation. Before July, the snowmelt has higher contributions than the precipitation to the streamflow of Indus River, with contribution value of more than 60%. Moreover, the snowmelt could still supply 20%-40% water to the lower Indus in July and August; The leading driver of 2022 mega-floods over the southern Pakistan in July and August was dominated by the precipitation, where terrain disturbance induced precipitation account to approximately 33% over the southern Pakistan. The results help to understand the mechanisms of flood formation, and to better predict future flood risks over complex terrain regions.
WOS关键词WINTER PRECIPITATION ; TRENDS
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号WOS:001273443500001
源URL[http://ir.igsnrr.ac.cn/handle/311030/206118]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Wang, Yan
作者单位1.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610299, Peoples R China
2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Jimei Univ, Polar & Marine Res Inst, Coll Harbor & Coastal Engn, Xiamen 361021, Peoples R China
4.Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 610054, Peoples R China
5.Hebei Prov Tangshan Caofeidian Meteorol Bur, Tangshan 063000, Peoples R China
推荐引用方式
GB/T 7714
Wang, Yan,Cui, Peng,Zhang, Chen-Di,et al. Antecedent snowmelt and orographic precipitation contributions to water supply of Pakistan disastrous floods, 2022[J]. ADVANCES IN CLIMATE CHANGE RESEARCH,2024,15(3):419-430.
APA Wang, Yan.,Cui, Peng.,Zhang, Chen-Di.,Zhang, Guo-Tao.,Hao, Jian-Sheng.,...&Wang, Lu.(2024).Antecedent snowmelt and orographic precipitation contributions to water supply of Pakistan disastrous floods, 2022.ADVANCES IN CLIMATE CHANGE RESEARCH,15(3),419-430.
MLA Wang, Yan,et al."Antecedent snowmelt and orographic precipitation contributions to water supply of Pakistan disastrous floods, 2022".ADVANCES IN CLIMATE CHANGE RESEARCH 15.3(2024):419-430.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。