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Session Proposal: Global Water Risks: Advances in Large-Scale Flood and Drought Risk Assessment and Management for a Resilient Future (AGU25)

H075
Global Water Risks: Advances in Large-Scale Flood and Drought Risk Assessment and Management for a Resilient Future

Session ID#: 250886

Session Description:
The UN2023 Water Conference reaffirmed water’s key role in achieving the SDGs, the Sendai Framework for Disaster Risk Reduction, and global efforts on climate mitigation and adaptation. Tackling water-related challenges like floods and droughts requires collaborations across disciplines, sectors and regions.This session invites contributions that  (1) showcase the state-of-the-art in large-scale water-risks science; (2) foster broader exchange of knowledge, datasets, and methods; and (3) identify future research avenues.We welcome submissions featuring water-related hazards and risks and interactions between them. We encourage contributions promoting globally applicable approaches, such as novel datasets, risk assessment and modeling frameworks, or downscaling techniques that ensure local relevance in decision-making and integration across built, natural, and human systems. This session aims to inform the future research agenda for global water risks and contribute to improving our ability to make timely and actionable decisions to build a resilient future.
Co-Sponsor(s):
  • NH - Natural Hazards
Index Terms:

1812 Drought [HYDROLOGY]
1821 Floods [HYDROLOGY]
4327 Resilience [NATURAL HAZARDS]
4328 Risk [NATURAL HAZARDS]
Primary Convener:  Margaret Ellen Garcia, Arizona State University, Julie Ann Wrigley Global Futures Laboratory, Tempe, United States
Conveners:  Oliver Wing, Fathom, Bristol, United Kingdom, Ashish Shrestha, Urban Systems Lab, The New School, New Yotk, United States and Noemi Vergopolan, Rice University, Earth, Environmental and Planetary Sciences, Houston, United States
Student/Early Career Convener:  Annika Hjelmstad, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States
 
Assessing Drought Vulnerability in Global Hydropower Reservoirs (1886137)
Ms. Surabhi Upadhyay and Adrienne Michelle Marshall, Colorado School of Mines, Hydrologic Science and Engineering, Golden, United States
 
Understanding the linkages between climate and hydrological whiplash across the Contiguous United States (1920742)
Seon-Ho Kim1, Hyun-Han Kwon2, Carlos H Ribeiro Lima3 and Naresh Devineni1, (1)Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States, (2)Sejong University, Department of Civil and Environmental Engineering, Seoul, South Korea, (3)UNB University of Brasilia, Asa Norte, Brazil
 
Drought to Flood to Drought: What are Whiplash Events? (1920884)
Johanna Engstrom and Esther Mullens, University of Florida, Gainesville, United States
 
Drought and Cascading Impacts: Insight, Opportunities, and Challenges (Invited) (1924461)
Laurie Huning, California State University, Long Beach, Civil Engineering and Construction Engineering Management, Long Beach, United States
 
Homo juridicus, homo heuristicus, and homo anticipans: a sociohydrological study of operator behavior and flood-drought tradeoffs in reservoirs (1926372)
Sukrati Gautam1,2, Samuel Park1, David J. Yu1,3, Margaret Ellen Garcia4, Murugesu Sivapalan5 and Hoon C, Shin1,6, (1)Purdue University, Lyles School of Civil Engineering, West Lafayette, United States, (2)Purdue University, Ecological Sciences and Engineering, West Lafayette, United States, (3)Purdue University, Department of Political Science, West Lafayette, United States, (4)Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, United States, (5)University of Illinois, Urbana-Champaign, Urbana-Champaign, United States, (6)POSTECH Pohang University of Science, Division of Humanities and Social Sciences, Pohang, South Korea
 
Insights into Global Flood Regulation Patterns from a Systematic Modeling Approach (1951278)
Kaihao Zheng and Peirong Lin, Peking University, Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Beijing, China
 
Drought prediction at multiple time scales based on enhanced deep learning model (1962528)
Humaira Hamid, Organization Not Listed, Washington, DC, United States, Sandeep Samantaray, National Institute of Technology Srinagar, Civil Engineering, Srinagar, India, Abinash Sahoo, Department of Civil Engineering, OUTR Bhubaneswar, Bhubaneswar, India and Deba Prakash Satapathy, Department of Civil Engineering, Odisha University of Technology and Research, Bhubaneswar, Bhubaneswar, India
 
Predicting Reservoir Drought from Antecedent Meteorological Conditions Across the United States (1975749)
Jiaorui Zhang1, Lujun Zhang1, Jie Cao2 and Tiantian Yang1, (1)University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science, Norman, United States, (2)University of Oklahoma Norman Campus, School of Computer Science, Norman, United States
See more of: Hydrology
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