Recent Advances in Flood Risk:Prediction, Monitoring, Assessment,Management, Mitigation and Adaptation Planning

Patel, Dhruvesh

NH034
Recent Advances in Flood Risk:Prediction, Monitoring, Assessment,Management, Mitigation and Adaptation Planning

Session ID#: 246755

Session Description:

Worldwide, frequency and intensity of extreme floods are increasing, causing direct consequences in terms of loss of life and properties. Cutting-edge monitoring and simulation technologies have become instrumental for guiding flood risk management. A range of physical/conceptual hydrological and hydrodynamic models and data-driven models (e.g., Artificial Intelligence, which includes Machine Learning) with their associated uncertainties are available to inform flood risk assessment and management, including prevention and preparedness. Such techniques provide a platform for the scientific community to explore the drivers of flood risk and to build up effective approaches for flood risk mitigation. The objective of this session is to invite fundamental and applied research work carried out for flood inundation mapping, flood hazard mapping, risk assessment, and flood risk management. Particular topics such as 1D, 2D and 3D modelling for flood risk assessment, emergency action planning, evacuation planning, break analysis and their associated uncertainties are also welcome.

Co-Sponsor(s):

EP - Earth and Planetary Surface Processes
GC - Global Environmental Change
H - Hydrology

Index Terms:

4327 Resilience [NATURAL HAZARDS]
4328 Risk [NATURAL HAZARDS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]
4335 Disaster management [NATURAL HAZARDS]

Primary Convener: Dr. Dhruvesh Patel, PhD, Pandit Deendayal Energy University, School of Technology, Civil Engineering Raisan 382007 Gandhinagar Gujarat , India, Gandhinagar Gujarat, India

Conveners: Cristina Prieto, IHCantabria—Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain, Benjamin Dewals, University of Liege, Urban & Environmental Engineering, HECE Belgium, Liege, Belgium and Dawei Han, School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, United Kingdom

Integrating physics-based and AI-enhanced disaster modeling with decision analytics for urban disaster-recovery master planning: Phnom Penh, Cambodia (1860623)

Junbae Won¹, Donggyu Hwang¹, Byungsik So², Dongkeun Lee², Eunyoung Jung², Seung OH Lee³, Dong Kook Woo⁴ and Giha Lee⁵, (1)HECOREA Inc, Seoul, South Korea, (2)ENG & Innovation Division, Samsung C&T Corporation, Seoul, South Korea, (3)Hongik University, Civil and Environmental Engineering, Seoul, South Korea, (4)Keimyung University, Department of Civil Engineering, Daegu, South Korea, (5)Kyungpook National University, School of Advanced Science and Technology Convergence, Sangju, South Korea

Probabilistic Assessment of Flood Damage from Levee Breaches for Flood Insurance (1862465)

Marco D'Oria¹, Andrea Maranzoni¹ and Maurizio Mazzoleni², (1)University of Parma, Department of Engineering and Architecture, Parma, Italy, (2)Vrije Universiteit Amsterdam, Water and Climate Risk Department, Amsterdam, Netherlands

Real-Time Flood Risk Prediction Using Temporal Transformer-based Deep Learning and Multisource Remote Sensing Data (1865512)

Seyed Babak Haji Seyed Asadollah¹, Ahmadreza Safaeinia¹, Sarvenaz Jarahizadeh² and Sina Jarahizadeh¹, (1)SUNY College of Environmental Science and Forestry, Environmental Resources Engineering, Syracuse, United States, (2)Independent Researcher, Mashahad, Iran

Assessing the characteristics and impact of unexpected 2024 flood in the Bagmati River basin of Nepal (1866605)

Badri Bhakta Shrestha¹, Mohamed Rasmy¹, Katsunori Tamakawa², Sauhardra Joshi³ and Daisuke Kuribayashi¹, (1)International Centre for Water Hazard and Risk Management (ICHARM), Public Works Research Institute (PWRI), Tsukuba, Japan, (2)The University of Tokyo, Global Environment Data Commons, Tokyo, Japan, (3)Department of Hydrology and Meteorology, Kathmandu, Nepal

Glacial Lake Outburst Flood Mapping and Risk Assessment Using Combined Approaches of Satellite Remote Sensing, GIS and Dam Break Modelling in Upper Indus Catchment (1867221)

Muhammad Amin, University of Arid Agriculture Rawalpindi, Rawalpindi, PAKISTAN and Daniyal Afzaal Abbasi, University of Arid Agriculture Rawalpindi, IGEO, Rawalpindi, Pakistan

Demonstrating a Pipeline for Operational Use of the National Water Model for Responding to Community-scale Flood Hazards (1869673)

Megan Vardaman, University of New Hampshire Main Campus, Durham, United States, Nana Oye Djan, Carnegie Mellon University, Pittsburgh, PA, United States, Kayode Adebayo, South Dakota State University, Brookings, United States, Ali Farshid, Utah State University, Logan, United States, Victor Oladoja, Kansas State University, Manhattan, KS, United States, Alex Simpson, University of Oregon, Eugene, OR, United States, Saide Zand, The University of Alabama, Department of Civil, Construction, and Environmental Engineering, Tuscaloosa, United States, David Maidment, University of Texas at Austin, Center for Research in Water Resources, Austin, TX, United States, Kelsey McDonough, FloodMapp, Boulder, CO, United States, Dean Djokic, ESRI, Redlands, United States and Matthew David Bartos, University of Texas at Austin, Maseeh Department of Civil, Architectural and Environmental Engineering, Austin, United States

Flood Assessment and Mitigation planning using UAV, GeoHEC-HMS, GeoHEC-RAS and GeoSTORM tools- A case of Palej Industrial Area, Gujarat, India. (1884959)

Dr. Dhruvesh Patel, PhD, Pandit Deendayal Energy University, School of Technology, Civil Engineering Raisan 382007 Gandhinagar Gujarat , India, Gandhinagar Gujarat, India and Kishanlal Darji, Flood Modeler, Flood Lab Private Limited, Gandhinagar, India

Flood stress on Rice yield regarding flood depth and flood duration at different rice growth stages and response of different varieties (1885344)

Md Omar Faruq, Sher-e-Bangla Agricultural University, Bangladesh, Dhaka, Bangladesh, Md Feroz Islam, Wageningen University and Research Center, Wageningen, Netherlands, Alok Kumar Paul, Sher-e-Bangla Agricultural University, Bangladesh, Soil Science, Dhaka, Bangladesh and Biswajit Karmakar, BRRI, Dhaka, Bangladesh

Assessing flood risk in a rapidly urbanizing basin: a logistic regression approach for Istanbul (Türkiye) (1891840)

Emiliya Hamidova¹, Alberto Bosino¹, Mehmet Emin Cihangir² and Mattia De Amicis¹, (1)University of Milan - Bicocca, Department of Earth and Environmental Sciences, Milan, Italy, (2)Kahramanmaraş Sütçü Imam University, Department of Geography, Faculty of Arts and Sciences, Kahramanmaraş, Turkey

An Integrated Framework for Flood Risk Forecasting Utilizing Global Weather Predictions and Hydrodynamic Modelling: An Appraisal of the Krishna River Basin Case Study, India (1892150)

Ankan Chakraborty, Indian Institute of Technology Bombay, Centre for Climate Studies, Mumbai, India, Kaustav Mondal, IITB-Monash Research Academy, Powai, India, Mousumi Ghosh, University of Alabama, Tuscaloosa, United States, Subimal Ghosh, Indian Institute of Technology Bombay, Department of Civil Engineering, Centre for Climate Studies, Mumbai, India and Subhankar Karmakar, Indian Institute of Technology Bombay, Environmental Science and Engineering Department, Centre for Climate Studies, Mumbai, India

A Multi-Scale Index-Based Approach for Flood Risk Assessment in Urban Areas: The Case of Cosenza, Southern Italy (1907653)

Daniela Biondi¹, Giovanna Capparelli¹, Danilo Spina², Francesco Cruscomagno² and Giovanna Capparelli, (1)University of Calabria, Calabria, Italy, (2)University of Calabria, Rende, Italy

Rapid Need Assessment for Disaster Response in Sathkania Upzila for Chittagong Flood 2023 (1914416)

MD Mahdi Hasan Saikot¹, Nayeem , Shahriar¹, MD. RI Rajib¹, Ashikur Rahman¹, Maruf Ahmed¹ and Sonia Binte Murshed², (1)Institute of Water and Flood Management (IWFM), BUET, Dhaka, Bangladesh, (2)Bangladesh University of Engineering and Technology (BUET), Institute of Water and Flood Management (IWFM), Dhaka, Bangladesh

Quantifying Anthropogenic Impact on Geomorphic Surfaces Through Flood Modeling: A HEC-RAS 2D Assessment of NCT Delhi (1917906)

Vicky Shankar and Vimal Singh, University of Delhi, Department of Geology, Delhi, India

Mapping Wetland Inundation Dynamics through Python-Based Mathematical Simulation: A Case Study of Deepor Beel, a Ramsar Wetland of India (1938986)

Arup Kumar Sarma and Bhaswatee Baishya, Indian Institute of Technology Guwahati, Department of Civil Engineering, Guwahati, India

Assessment of flood (inundation extent and flood depth) mapping using Synthetic Aperture Radar (SAR) in the OpenSARLab platform (1952211)

Krishna Prosad Mondal¹, S M Ahsan Habib², Md. Nur Hossain Sharifee², Muhammad Sharif², Md. Jahidul Ashik² and Sheikh Tawhidul Islam¹, (1)Jahangirnagar University, Institute of Remote Sensing and GIS, Dhaka, Bangladesh, (2)Bangladesh Space Research and Remote Sensing Organization, Dhaka, Bangladesh

Real-Time Flood Monitoring and Forecasting for Mumbai using 2D-Hydrodynamic Modelling . (1953628)

Puja Tripathy¹, Raghu Murtugudde¹, Subhankar Karmakar² and Subimal Ghosh³, (1)Indian Institute of Technology Bombay, Centre for Climate Studies, Mumbai, India, (2)Indian Institute of Technology Bombay, Environmental Science and Engineering Department, Centre for Climate Studies, Mumbai, India, (3)Indian Institute of Technology Bombay, Department of Civil Engineering, Centre for Climate Studies, Mumbai, India

Projecting Future Flood Risk in Feni District: Impacts of Land Use Dynamics and Changing Multi-Scenario Rainfall Patterns (1958623)

Maruf Ahmed, Institute of Water & Flood Management, Bangladesh University of Engineering and Technology,, Dhaka, Bangladesh and Zahidul Alam, Institute of Water & Flood Management, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

Forensic Analysis of the Camp Mystic Flash Flood Event and Opportunities for Early Warning Systems Using Low-Cost Sensors (1962961)

Ayman Mokhtar Nemnem, University of South Carolina Columbia, Columbia, SC, United States, Austin Downey, University of South Carolina, Mechanical Engineering, Columbia, United States and Jasim Imran, Univ South Carolina, Department of Civil and Environmental Engineering, Columbia, United States

Data-driven Flood Risk Index for Downstream Decision-making (1963449)

Bandana Kar, National Renewable Energy Laboratory, Washington, DC, United States, Guy Schumann, RSS Hydro SARL, Luxembourg, Luxembourg and Margaret T Glasscoe, University of Colorado at Boulder, Boulder, United States

Probabilistic Assessment of Levee Breach under Variable Overtopping Conditions (1967029)

Ege Kurter¹, Ayman Mokhtar Nemnem², Ismet Karakan², Laura Micheli¹, Hanif Chaudhry¹ and Jasim Imran³, (1)University of South Carolina Columbia, Columbia, United States, (2)University of South Carolina Columbia, Columbia, SC, United States, (3)Univ South Carolina, Department of Civil and Environmental Engineering, Columbia, United States

Flood Vulnerability Assessment in the Hilly Districts of Southeastern Bangladesh: A Multi-Criteria Approach (1971499)

Golam Morsad¹, Md. Tahseen Ahmed¹ and Sonia Binte Murshed², (1)Bangladesh University of Engineering and Technology, Buet-Japan Institute of Disaster Prevention and Urban Safety, Dhaka, Bangladesh, (2)Bangladesh University of Engineering and Technology (BUET), Institute of Water and Flood Management (IWFM), Dhaka, Bangladesh

Improving Real-Time 2D Urban Flood Prediction in Southwestern India Using Physics-Informed Deep Learning (1973967)

Mr. Julio Isaac Montenegro Gambini, M.Sc.¹, Gerald Corzo Perez², Chris Zevenbergen¹ and Taneha Kuzniecow Bacchin¹, (1)Delft University of Technology, Urbanism, Delft, Netherlands, (2)IHE Delft Institute for Water Education, Department of Coastal and Urban Risk Resilience, Delft, Netherlands

Urban Coastal-Pluvial Flood Forecasting: Insights from LSTM-Based Data-Driven Modeling (1977075)

Shima Kasaei¹, Philip M Orton² and Kaijian Liu¹, (1)Stevens Institute of Technology, Department of Civil, Environmental & Ocean Engineering, Hoboken, United States, (2)Stevens Institute of Technology, Department of Civil, Environmental & Ocean Engineering, Union City, NJ, United States

AI-Enabled Coastal Resilience via Storm Generation, Surrogate Modeling, and Optimization (1978145)

Alexander New, Johns Hopkins University Applied Physics Laboratory, Laurel, United States, Jared Markowitz, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States, Jennifer Sleeman, Applied Physics Laboratory Johns Hopkins, Laurel, United States, Dr. Genevieve Jay Brett, PhD, Woods Hole Oceanographic Institution, Cambridge, United States and Nathaniel S Winstead, The Johns Hopkins University/Applied Physics Laboratory, FPS/KTF, Laurel, MD, United States

Integration of Geospatial and Geomorphic Data for a Novel, Satellite-based, Emergency Alert System for Flash Floods in the Backcountry of Grand Canyon National Park (1978577)

Erica Byerley¹, Thomas Gushue¹, Paul Grams², Joseph Thomas³, Megan Taylor⁴ and Tim Carter⁵, (1)USGS, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, Flagstaff, United States, (2)US Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, Flagstaff, United States, (3)City of Flagstaff Water Services, Flagstaff, United States, (4)National Weather Service, Flagstaff, United States, (5)Coconino County Emergency Management, Flagstaff, United States

A Scalable Flood Risk Assessment Method for Pavements: Quantifying Flood Damage at Segment and Network Scales Utilizing High Resolution Hydrodynamic Flood Modeling (1980511)

Katerina Boukin, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States, Kenneth M Strzepek, Massachusetts Institute of Technology, Center for Sustainability Science and Strategy, Cambridge, MA, United States and Randolph Kirchain, Massachusetts Institute of Technology, Cambridge, United States

Modeling the Effect of Erodible Coastal Sandbars on Urban Flash Flood Hazard (1980867)

Sebastian Nash and Cristian R Escauriaza, Pontifical Catholic University of Chile, Hydraulic and Environmental Engineering, Santiago, Chile

Coastal Storm Tide Modelling for the US Northeast (1987878)

Doyup Kwon¹, Ning Lin², Amirhosein Begmohammadi², Dazhi Xi³ and Christine Blackshaw⁴, (1)Princeton University, Princeton, NJ, United States, (2)Princeton University, Department of Civil and Environmental Engineering, Princeton, United States, (3)The University of Hong Kong, Department of Earth Sciences, Hong Kong, Hong Kong, (4)Princeton University, Princeton, United States

Near Real-Time Flood Forecasting Using Integrated MRMS Rainfall and HEC-HMS with Probabilistic Hydrographs (1989661)

Sugam Mahat¹, Asim Paudel², Dongfeng Li² and Nick Fang², (1)University of Texas at Arlington, Civil Engineering, Arlington, TX, United States, (2)University of Texas at Arlington, Civil Engineering, Arlington, United States

Hydrodynamic and Risk-Based Assessment of the August 2024 Bangladesh Floods (1990687)

Audrika Nahian¹, Rahul Biswas², A Q M Zohuruzzaman³, Sadik Khan², Jasim Imran⁴, Austin Downey⁵ and Rahul Biswas : Jackson State University, Department of Civil and Environmental Engineering, (1)Jackson State University, Department of Civil and Environmental Engineering, Jackson, MS, United States, (2)Jackson State University, Civil and Environmental Engineering, Jackson, United States, (3)Jackson State University, Civil and Environmental Engineering, Jackson, MS, United States, (4)Univ South Carolina, Department of Civil and Environmental Engineering, Columbia, United States, (5)University of South Carolina, Mechanical Engineering, Columbia, United States

Physics Informed Neural Network for flood vulnerability modeling of residential properties in data scarce environments (1993954)

Mujungu Museru, University of Memphis, Memphis, TN, United States, Rouzbeh Nazari, Chair and Professor, Department of Civil, Construction, and Environmental Engineering, The University of Memphis, USA., Memphis, United States and Maryam Karimi, Director of Research and Associate Professor, School of Public Health, The University of Memphis, USA., Memphis, United States

Laboratory experiments and numerical simulations on levee breach by overtopping (2002005)

Yavuz Ozeren, PhD, USDA ARS, National Sedimentation Laboratory, Oxford, United States, Emre Dumlu, Oxford, MS, UNITED STATES; University of Mississippi Main Campus, Civil Engineering, University, United States and Levee Erosion Team

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NH034 Recent Advances in Flood Risk:Prediction, Monitoring, Assessment,Management, Mitigation and Adaptation Planning

Session Description:

Co-Sponsor(s):

Index Terms:

NH034
Recent Advances in Flood Risk:Prediction, Monitoring, Assessment,Management, Mitigation and Adaptation Planning