Challenges and Technical Advances in Flood Early Warning Systems (FEWSs)

Author:

Perera Duminda,Seidou Ousmane,Agnihotri Jetal,Mehmood Hamid,Rasmy Mohamed

Abstract

Flood early warning systems (FEWSs)—one of the most common flood-impact mitigation measures—are currently in operation globally. The UN Office for Disaster Risk Reduction (UNDRR) strongly advocates for an increase in their availability to reach the targets of the Sendai Framework for Disaster Risk Reduction and Sustainable Development Goals (SDGs). Comprehensive FEWS consists of four components, which includes (1) risk knowledge, (2) monitoring and forecasting, (3) warning, dissemination, and communication, and (4) response capabilities. Operational FEWSs have varying levels of complexity, depending on available data, adopted technology, and know-how. There are apparent differences in sophistication between FEWSs in developed countries that have the financial capabilities, technological infrastructure, and human resources and developing countries where FEWSs tend to be less advanced. Fortunately, recent advances in remote sensing, artificial intelligence (AI), information technologies, and social media are leading to significant changes in the mechanisms of FEWSs and provide the opportunity for all FEWSs to gain additional capability. These technologies are an opportunity for developing countries to overcome the technical limitations that FEWSs have faced so far. This chapter aims to discuss the challenges in FEWSs in brief and exposes technological advances and their benefits in flood forecasting and disaster mitigation.

Publisher

IntechOpen

Reference75 articles.

1. Perera D, Ousmane Seidou O, Jetal Agnihotri J, Mohamed Rasmy M, Smakhtin V, Coulibaly P, et al. Flood Early Warning Systems: A Review of Benefits, Challenges and Prospects. UNU-INWEH Report Series, Issue 08. Hamilton, Canada: United Nations University Institute for Water, Environment and Health; 2019. p. 30. DOI: 10.13140/RG.2.2.28339.78880

2. EMDAT. The International Disasters Database [Internet]. Available from: https://www.emdat.be/ [Accessed: 01 May 2020]

3. UNDRR. Report of the Open-Ended Intergovernmental Expert Working Group on Indicators and Terminology Relating to Disaster Risk Reduction, United Nations General Assembly. Agenda Item: 19 (C). 2017. Available from: https://www.preventionweb.net/files/50683_oiewgreportenglish.pdf [Accessed: 02 May 2020]

4. Alberta WaterSMART. Flood Forecasting Jurisdictional Review. 2014. Available from: https://albertawater.com/docs-work/projects-and-research/114-flood-forecasting-jurisdictional-review/file

5. Cuo L, Pagano TC, Wang Q  J. A review of quantitative precipitation forecasts and their use in short- to medium-range streamflow forecasting. Journal of Hydrometeorology. 2011;12(5):713-728. DOI: 10.1175/2011JHM1347.1

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3