题名 | Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination and Decision-Support Systems |
作者 | |
通讯作者 | Shi, Haiyun |
发表日期 | 2020-09
|
DOI | |
发表期刊 | |
ISSN | 2306-5338
|
卷号 | 7期号:3 |
摘要 | Floods are usually highly destructive, which may cause enormous losses to lives and property. It is, therefore, important and necessary to develop effective flood early warning systems and disseminate the information to the public through various information sources, to prevent or at least mitigate the flood damages. For flood early warning, novel methods can be developed by taking advantage of the state-of-the-art techniques (e.g., ensemble forecast, numerical weather prediction, and service-oriented architecture) and data sources (e.g., social media), and such developments can offer new insights for modeling flood disasters, including facilitating more accurate forecasts, more efficient communication, and more timely evacuation. The present Special Issue aims to collect the latest methodological developments and applications in the field of flood early warning. More specifically, we collected a number of contributions dealing with: (1) an urban flash flood alert tool for megacities; (2) a copula-based bivariate flood risk assessment; and (3) an analytic hierarchy process approach to flash flood impact assessment. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
|
学校署名 | 第一
; 通讯
|
WOS研究方向 | Water Resources
|
WOS类目 | Water Resources
|
WOS记录号 | WOS:000581275300001
|
出版者 | |
来源库 | Web of Science
|
引用统计 |
被引频次[WOS]:4
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/210511 |
专题 | 工学院_环境科学与工程学院 |
作者单位 | 1.Southern Univ Sci & Technol, Sch Environm Sci & Engn, State Environm Protect Key Lab Integrated Surface, Shenzhen 518055, Peoples R China 2.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Guangdong Prov Key Lab Soil & Groundwater Pollut, Shenzhen 518055, Peoples R China 3.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hunghom, Kowloon, Hong Kong, Peoples R China |
第一作者单位 | 环境科学与工程学院 |
通讯作者单位 | 环境科学与工程学院 |
第一作者的第一单位 | 环境科学与工程学院 |
推荐引用方式 GB/T 7714 |
Shi, Haiyun,Du, Erhu,Liu, Suning,et al. Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination and Decision-Support Systems[J]. Hydrology,2020,7(3).
|
APA |
Shi, Haiyun,Du, Erhu,Liu, Suning,&Chau, Kwok-Wing.(2020).Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination and Decision-Support Systems.Hydrology,7(3).
|
MLA |
Shi, Haiyun,et al."Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination and Decision-Support Systems".Hydrology 7.3(2020).
|
条目包含的文件 | 条目无相关文件。 |
|
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。
修改评论