NH017
Extreme Hazards across the Earth: Observations, Modeling, Outlooks, Mitigation, and Restoration
Session ID#: 249172
Session Description:
Extreme hazards have become more intense and frequent across the Earth due to rapid land-use changes and a changing climate, underscoring an urgent need for a comprehensive understanding of their impacts and the development of effective mitigation strategies. This interdisciplinary session aims to address a wide spectrum of hazards—including landslides, floods, wildfires, drought, extreme weather events and earthquakes—by showcasing advances in satellite observations, data-driven modeling, and integration of emerging technologies. This session will highlight methodologies for predicting hazard events, assessing vulnerabilities, analyzing exposures, and implementing targeted mitigation and restoration strategies. This session seeks to foster a holistic understanding of natural hazards by exploring the complex interactions between physical processes and human activities—across land cover, surface water, and the atmosphere—to reduce long-term risks and enhance resilience. From Earth science to actionable solutions, we welcome contributions from various disciplines to explore innovative approaches for risk assessment, hazard mitigation, and environmental restoration.
Co-Sponsor(s):
Index Terms:
4313 Extreme events [NATURAL HAZARDS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4337 Remote sensing and disasters [NATURAL HAZARDS]
4347 Recovery and reconstruction after disaster [NATURAL HAZARDS]
Primary Convener: Chul-Hee Lim, Kookmin University, Department of Forestry, Environment, and Systems, Seoul, Korea, Republic of (South)
Conveners: Seung Hee Kim, Chapman University, Institute for Earth, Computing, Human and Observing (ECHO), Orange, CA, United States and Chang-Bae Lee, Kookmin University, Department of Forestry, Environment, and Systems, Seoul, South Korea
Hydrological Tolerance of Two Restoration Tree Seedlings in Tropical Peatlands under Different Water Levels and Durations (1860748)
Hyunyoung Yang1, Muhardianto Cahya2, Fikri Adriansyah2, Irmawati Irmawati2, Dessy Adriani2, Rujito Agus Suwignyo2 and Eunho Choi1, (1)National Institute of Forest Science, Seoul, South Korea, (2)Sriwijaya University, Palembang, Indonesia
Month-Ahead Fire Weather Index Forecasts with Deep Learning for Global Fire Risk Preparedness (1883141)
Sihyun Lee1, Yoojin Kang1, Dongjin Cho2 and Jungho Im3, (1)Ulsan National Institute of Science and Technology, Department of Civil, Urban, Earth, and Environmental Engineering, Ulsan, South Korea, (2)Seoul National University, Environmental Planning Institute, Seoul, South Korea, (3)Ulsan National Institute of Science and Technology, Civil Urban Earth and Environmental Engineering, Ulsan, South Korea
Study on controlling factors affecting species richness of native herbaceous plants and seedlings in the herbaceous layer of forest restoration sites, South Korea (1883577)
Junhyuk Woo, Kookmin University, Department of Forest Resources, Seoul, Korea, Republic of (South), Chang-Bae Lee, Kookmin University, Department of Forestry, Environment, and Systems, Seoul, South Korea, Minki Lee, Kookmin University, Department of Forest Resources, Seoul, South Korea, Yongju Lee, Kookmin University, Department of Climate Technology Convergence, Seoul, South Korea and Huiju Chae, Korea Association of Forest Enviro-conservation Technology, Division of Research, Sejong, South Korea
Cost-Effective Optimization of BMP Placement for Water Quality Improvement (1888710)
Yujin Jang1, Yoonji Kim2, Cheolho Woo3, Namuun Tuvshinjargal3, Seohyun Kim1 and Seong Woo Jeon4, (1)Korea University, Seoul, Korea, Republic of (South), (2)Korea University, OJEong Resilience Institute, Seoul, South Korea, (3)Korea University, Seoul, South Korea, (4)Korea University, Division of Environmental Science & Ecological Engineering, Seoul, South Korea
Landslide Risk Analysis in Post-Wildfire Areas of Gyeongsangbuk-do, Korea (1889349)
Heejung NAM1, Seunghyun Hong1 and Wanmo Kang2, (1)Kookmin University, Department of Forest Resources, Seoul, South Korea, (2)Kookmin University, Department of Forest Environment and Systems, Seoul, South Korea
Biotic and Abiotic Drivers of Aboveground Biomass in Broadleaved Forest Restoration Sites of South Korea (1889448)
Jisoo Kwak, Kookmin University, Seoul, Korea, Republic of (South) and Chang-Bae Lee, Kookmin University, Department of Forestry, Environment, and Systems, Seoul, South Korea
Rainfall-induced landslide hazard assessment using physically-based model: A case study from South Korea (1890593)
Nuri Chung, Kookmin University, Forest Resources, Seoul, Korea, Republic of (South), Sinyoung Park, Kookmin University, Forest Resources, Seoul, South Korea, Dongwook W. Ko, Kookmin University, Forestry, Environment, and Systems, Seoul, South Korea and Yongjun Jeon, Korea Association of Forest Enviro-conservation Technology, Division of Research, Chungcheongbuk-do, South Korea
Testing the M8 earthquake prediction algorithm: The 2025, M7.7 Myanmar earthquake (1891451)
Vladimir G Kossobokov1,2 and Anastasia Nekrasova1,3, (1)Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russia, (2)Accademia Nazionale delle Scienze detta dei XL, Rome, Italy, (3)National Scientific Center for Seismological Observations and Research, Almaty, Kazakhstan
Future Flood Risk Assessment in the Contiguous U.S. Using IDF-Based Classification and Projections (1898797)
Zhicheng Xu, Michigan State University, School of Planning, Design and Construction, East Lansing, MI, United States, Wonmin Sohn, University of Michigan, School for Environment and Sustainability, Ann Arbor, United States and Xin Lan, Michigan State University, Department of Geography, Environment, and Spatial Sciences, East Lansing, United States
Thermal Comfort-Based Assessment of Urban Heatwave Resilience: A Case Study of the Seoul Metropolitan Area (1903294)
Seohyun Kim1, Inhwa Kim2, Yoonji Kim3, No Ol Lim4, Yujin Shin2, Yujin Jang1 and Seong-Woo Jeon2, (1)Korea University, Seoul, Korea, Republic of (South), (2)Korea University, Environmental Science & Ecological Engineering, Seoul, South Korea, (3)Korea University, OJEong Resilience Institute, Seoul, South Korea, (4)Korea University, Environmental Science and Ecological Engineering, Seoul, Korea, Republic of (South)
Wildfire Risk Mapping on Oahu in Hawaii to Reduce the Impact of Wildfires on Communities (1905656)
Sayed M. Bateni, University of Hawaii at Manoa, Department of Civil and Environmental Engineering and Water Resources Research Center, Honolulu, HI, United States, Saeid Janizadeh, University of Hawaii at Manoa, Department of Civil and Environmental Engineering, Honolulu, United States and Farzaneh Sajedi Hosseini, University of Tehran, Reclamation of Arid and Mountainous Regions Department, Faculty of Natural Resources, Karaj, Iran
Towards Equitable Wildfire Forecasting for Vulnerable Communities (1915575)
Yoojin Kang, Ulsan National Institute of Science and Technology, Civil, Urban, Earth, and Environmental Engineering, Ulsan, South Korea, Sihyun Lee, Ulsan National Institute of Science and Technology, Department of Civil, Urban, Earth, and Environmental Engineering, Ulsan, South Korea, Dongjin Cho, Seoul National University, Environmental Planning Institute, Seoul, South Korea and Jungho Im, Ulsan National Institute of Science and Technology, Ulsan, South Korea
Developing an Environmental Disturbance Index for High Mountain Asia (1915637)
Malisse Malisse Lummus1, Leigh A Stearns1, Summer Rupper2, Chayan Roychoudhury3 and Kyung Yoon Kim4, (1)University of Pennsylvania, Department of Earth and Environmental Sciences, Philadelphia, PA, United States, (2)University of Utah, School of Environment, Society, and Sustainability, Salt Lake City, United States, (3)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (4)Boston College, Earth and Environmental Sciences, Chestnut Hill, United States
Improving forecasts of the impact of wildfires before the flames (1915832)
Michael Billmire, Organization Not Listed, Washington, DC, United States, Mary Ellen Miller, Michigan Technological University, Michigan Tech Research Institute, Ann Arbor, MI, United States, Stephen Liu, University of Michigan, Computer Science, Ann Arbor, United States, Riley Sechrist, Michigan Tech University, MTRI, Ann Arbor, United States and Peter Robichaud, USDA Forest Service, Moscow, United States
The Hidden Threats: Why Ensemble Climate Change Scenarios Underestimate Landslides Probability (1930608)
Hyeon Kwon Ahn, Kookmin University, Department of Forest Resources, Seoul, South Korea, Chul-Hee Lim, Kookmin University, Department of Forestry, Environment, and Systems, Seoul, Korea, Republic of (South) and Hee Do Choi, Kookmin University, Department of Forestry, Environment, and Systems, Seoul, South Korea
Deep Learning-Based Automated Landslide Detection Framework: Fusing Multi-Band Optical and SAR Image (1931653)
Yunsu Roh, Kookmin University, Department of Forest Resources, Seoul, Korea, Republic of (South), Chul-Hee Lim, Kookmin University, Department of Forestry, Environment, and Systems, Seoul, Korea, Republic of (South) and Daesung Yang, Korea Association of Forest Enviro-conservation Technology, Division of Research, Chungcheongbuk-do, South Korea
Improved Topographic Effect Parameterizations for Fire Weather Forecasting over Complex Terrain (1932191)
Seung Hee Kim1, Yun Gon Lee2, Yong Han Jo2 and Menas Kafatos1, (1)Chapman University, Institute for Earth, Computing, Human and Observing (ECHO), Orange, CA, United States, (2)Chungnam National University, Daejeon, South Korea
Developing a Decision Support System for Climate Change Adaptation in Korea: Mitigating Extreme Hazards and Enhancing Societal Resilience (1935396)
Huicheul Jung1, Youngshin Lim1, Taehyoung Kim1, Jeong Ho Yoon1, Chang Sug Park1, Hoon Chang1 and Dong-Kun Lee2, (1)Korea Environment Institute, Sejong, South Korea, (2)Seoul National Universiy, Department of Landscape Architecture and Rural System Engineering, Seoul, South Korea
Improving the global fire model for future projections of fire impacts on the biomass carbon sink (1942481)
Chaeyeon Park1, Akihiko Akihiko2, Kiyoshi Takahashi2 and Shinichiro Fujimori3, (1)National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan, (2)NIES National Institute of Environmental Studies, Ibaraki, Japan, (3)Kyoto University, Kyoto, Japan
Development of an Interactive Flood Risk Sandbox Tool Integrating Multi-Decadal Projections and Elevation Ordinance (1955417)
Lakshmi Prasanna Kunku1, Carol J Friedland2, Rubayet Bin Mostafiz2, Md Adilur Rahim3, Meggan Franks4, Yao Wang5 and Joseph Brooks6, (1)Louisiana State University, Baton Rouge, LA, United States, (2)Louisiana State University Agricultural Center, Biological and Agricultural Engineering, LaHouse Research and Education Center, Baton Rouge, United States, (3)Louisiana State University AgCenter, Biological and Agricultural Engineering, Baton Rouge, United States, (4)Louisiana State University, Agricultural Center, LaHouse Research and Education Center, Baton Rouge, United States, (5)Louisiana State University, College of Art + Design, Baton Rouge, LA, United States, (6)Louisiana State University, Baton Rouge, United States
Seismic Study of China-Nepal Floods Using the National Seismic Network in Nepal (1963551)
Bharat Prasad Koirala1, Lok Bijaya Adhikari1, Laurent Bollinger2 and Tara Pokharel1, (1)National Earthquake Monitoring and Research Centre, Department of Mines and Geology, Kathmandu, Nepal, (2)CEA, DASE, Arpajon, France
Attributing Anthropogenic Climate Change: A Global Framework for Hydrological Disaster Risk and Damage (Invited) (1986897)
Hyungjun Kim1, Jin Pak2, Eunhan Goo3 and Alina Akhmetbek3, (1)KAIST (Korea Advanced Institute of Science and Technology), Daejeon, South Korea, (2)Korea Advanced Institute of Science and Technology, Daejeon, South Korea, (3)KAIST Korea Advanced Institute of Science and Technology, Daejeon, South Korea
Beyond Risk: Mapping of Wildfire Evacuation Vulnerability in the Republic of Korea (1988347)
Chul-Hee Lim1, Ha-Eun Lee2, Wonchan Kim2, Soohyun Kwon2 and Jee Soo Park3, (1)Kookmin University, Department of Forestry, Environment, and Systems, Seoul, Korea, Republic of (South), (2)Kookmin University, Department of Forestry, Environment, and Systems, Seoul, South Korea, (3)Kookmin University, Department of Climate Technology Convergence, Seoul, South Korea
Spatiotemporal Assessment of Erosion Dynamics in Selected Coastal Towns of Bangladesh (1995013)
Nusaiba Nueri Nasir1, Md. Parvez Hossain2, Hussain Muhammad Muktadir3, . Shampa4, Akm Saiful Islam1 and Mohammad Asad Hussain1, (1)Bangladesh University of Engineering and Technology, Institute of Water and Flood Management, Dhaka, Bangladesh, (2)Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, (3)Research Associate, Institute of Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, (4)Bangladesh University of Engineering and Technology (BUET), Institute of Water and Flood Management (IWFM), Dhaka, Bangladesh
