Development of a Joint Probabilistic Rainfall‐Runoff Model for High‐to‐Extreme Flow Projections Under Changing Climatic Conditions-Reference-Cited by-同舟云学术

Development of a Joint Probabilistic Rainfall‐Runoff Model for High‐to‐Extreme Flow Projections Under Changing Climatic Conditions

Published:2022-06 Issue:6 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Li Kailong¹²^ORCID,Huang Guohe¹^ORCID,Wang Shuo³^ORCID,Razavi Saman²^ORCID,Zhang Xiaoyue¹

Affiliation:

1. Faculty of Engineering and Applied Science University of Regina Regina SK Canada

2. Department of Civil, Geological and Environmental Engineering School of Environment and Sustainability Global Institute for Water Security University of Saskatchewan Saskatoon SK Canada

3. Department of Land Surveying and Geo‐Informatics Hong Kong Polytechnic University Hong Kong China

Funder

Canada Research Chairs

Western Economic Diversification Canada

Mitacs

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR031557

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5. Balogun A. Quan S. Pradhan B. Dano U. &Yekeen S.(2020).An Improved Flood Susceptibility Model for Assessing the Correlation of Flood Hazard and Property Prices using Geospatial Technology and Fuzzy‐ANP.Journal of Environmental Informatics.https://doi.org/10.3808/jei.202000442

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