GSTDTAP

浏览/检索结果: 共4条,第1-4条 帮助

已选(0)清除 条数/页:   排序方式:
ERL研究发现美国洪水破坏风险被低估 快报文章
地球科学快报,2022年第05期
作者:  王立伟
Microsoft Word(14Kb)  |  收藏  |  浏览/下载:669/0  |  提交时间:2022/03/09
flood  damage  Predicting  
Leveraging machine learning for predicting flash flood damage in the Southeast US 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (2)
作者:  Alipour, Atieh;  Ahmadalipour, Ali;  Abbaszadeh, Peyman;  Moradkhani, Hamid
收藏  |  浏览/下载:18/0  |  提交时间:2020/07/02
flash flood  risk  flood damage  machine learning  
Does forest cover help prevent flood damage? Empirical evidence from India 期刊论文
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2018, 53: 78-89
作者:  Bhattacharjee, Kasturi;  Behera, Bhagirath
收藏  |  浏览/下载:13/0  |  提交时间:2019/04/09
Flood damage  Forest cover  Adaptation  Ecosystem-based approach  Hard structure-based approach  India  
The role of climate variability in extreme floods in Europe 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2017, 12 (8)
作者:  Nobre, G. Guimaraes;  Jongman, B.;  Aerts, J.;  Ward, P. J.
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/09
ENSO  NAO  EA  climate variability  extreme rainfall  flood damage