Defining the hundred year flood: A Bayesian approach for using historic data to reduce uncertainty in flood frequency estimates-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Defining the hundred year flood: A Bayesian approach for using historic data to reduce uncertainty in flood frequency estimates

Published:2016-09 Issue: Volume:540 Page:1189-1208
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Parkes Brandon,Demeritt David

Funder

Economic and Social Research Council

European Commission’s

Natural Environment Research Council

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference164 articles.

1. Extreme historical UK floods and maximum flood estimation;Acreman;J. Inst. Water Environ. Manage.,1989

2. Quantification of uncertainties in flood risk assessments;Apel;Int. J. River Basin Manage.,2008

3. Flood risk assessment and associated uncertainty. Copernicus Publications on behalf of the European Geosciences Union;Apel;Nat. Hazards Earth Syst. Sci.,2004

4. Assessment of severity of the extreme River Tyne flood in January 2005 using gauged and historical information;Archer;Hydrol. Sci. J.,2007

5. The effect of climate policy on the impacts of climate change on river flows in the UK;Arnell;J. Hydrol.,2014

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A 30 m Global Flood Inundation Model for Any Climate Scenario;Water Resources Research;2024-08

2. Does flood risk funding protect the most vulnerable? A case study of England;Environmental Science & Policy;2024-07

3. Not all sources of uncertainty are worth resolving: A value of information approach for uncertainty reduction in flood risk management;Journal of Flood Risk Management;2024-05-16

4. Considering Uncertainty of Historical Ice Jam Flood Records in a Bayesian Frequency Analysis for the Peace‐Athabasca Delta;Water Resources Research;2024-02-26

5. Intelligent Architectures for Extreme Event Visualisation;Arts, Research, Innovation and Society;2024

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