- H23N: Data-Driven Ecohydrology: Monitoring, Modeling, and Mitigating Seawater Intrusion, Compound Flooding, and Soil Salinization in Coastal Wetlands Poster
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NOLA CC
Primary Convener:Generic 'disconnected' Message
Yao Hu, University of Delaware
Convener:
Ying Zhao, LUDONG UNIVERSITY
Wenhong Li, Duke Univ-Nicholas School
Jingyi Huang, University of Wisconsin-Madison
Chair:
Yao Hu, University of Delaware
Jingyi Huang, University of Wisconsin-Madison
Wenhong Li, Duke Univ-Nicholas School
Ying Zhao, JLU Jilin University
This session focuses on integrated approaches to address the growing challenges in coastal regions posed by seawater intrusion, compound flooding, and soil salinization. We welcome contributions that highlight knowledge-guided machine learning, advanced in situ sensors, remote sensing, and big geospatial data to improve our understanding of coastal ecohydrology, particularly in wetlands and reclaimed saline soils. By combining novel data-fusion techniques with cutting-edge process-based research, we aim to enhance predictive capabilities and inform sustainable natural resource management strategies. Submissions featuring interdisciplinary studies, as well as new methodological developments, are encouraged.
Index Terms
1402 - Critical Zone
1865 Soils
1890 Wetlands
1952 Modeling
Co-Organized Sessions:
Ocean Sciences
Near Surface Geophysics
Earth and Planetary Surface Processes
Biogeosciences
Natural Hazards
Informatics
Cross-Listed:
IN - Informatics
NS - Near Surface Geophysics
B - Biogeosciences
EP - Earth and Planetary Surface Processes
Suggested Itineraries:
Biochemistry
Machine Learning and AI
Open Science and Open Data
Neighborhoods:
3. Earth Covering
1. Science Nexus
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