Flood Risk Management in a Changing World I Posters

Friday, 18 December 2015: 08:00-12:20
Poster Hall (Moscone South)
Primary Conveners:  Carlos H Ribeiro Lima, UNB University of Brasilia, Asa Norte, Brazil
Conveners:  Marcus Suassuna Santos, UNB University of Brasilia, Asa Norte, Brazil; CPRM Geological Survey of Brazil, Porto Alegre, Brazil and Upmanu Lall, Columbia Univ, New York, NY, United States
Chairs:  Carlos H Ribeiro Lima, UNB University of Brasilia, Asa Norte, Brazil and Upmanu Lall, Columbia Univ, New York, NY, United States
OSPA Liaisons:  Upmanu Lall, Columbia Univ, New York, NY, United States
Upstream Structural Management Measures for an Urban Area Flooding in Turkey and their Consequences on Flood Risk Management (58215)
Zuhal Akyurek, Basar Bozoglu and Tugcehan Girayhan, Middle East Technical University, Ankara, Turkey
A preliminary study on relationship between precipitation and flood disaster in summer in southern China (60822)
Yue Zhou, Organization Not Listed, Washington, DC, United States
Influence of Climate Change on Flood Hazard using Climate Informed Bayesian Hierarchical Model in Johnson Creek River (62008)
Mahkameh Zarekarizi, Portland State University, Portland, OR, United States and Hamid Moradkhani, Portland State University, Civil and Environmental Engineering, Portland, OR, United States
Flood Bypass Capacity Optimization (64248)
Alessia Siclari and Rui Hui, University of California Davis, Davis, CA, United States
The socio-hydrologic evolution of human-flood interactions on the Charles and Mystic River, eastern Massachusetts, USA. (81692)
Zachary Mertz, University of Massachusetts Boston, School for the Environment, Boston, MA, United States
A Preliminary Evaluation of Season-ahead Flood Risks Globally (74896)
Donghoon Lee1, Philip Ward2 and Paul J Block1, (1)University of Wisconsin Madison, Madison, WI, United States, (2)Free University of Amsterdam, Amsterdam, Netherlands
Evaluating the Performance of Wavelet-based Data-driven Models for Multistep-ahead Flood Forecasting in an Urbanized Watershed (64727)
Babak Kasaee Roodsari and David G Chandler, Syracuse University, Syracuse, NY, United States
The 2014 Karnali River Floods in Western Nepal: Making Community Based Early Warning Systems Work When Data Is Lacking (68740)
Sumit Dugar1, Karen MacClune2, Kanmani Venkateswaran2, Shobha Yadav3 and Michael Szoenyi4, (1)Practical Action Consulting South Asia, Kathmandu, Nepal, (2)ISET International, Boulder, CO, United States, (3)ISET-Nepal, Kathmandu, Nepal, (4)Zurich Insurance Company, Zurich, Switzerland
Calibrating the FloodMap Model to Improve the Integrated HydroProg-FloodMap Real-Time Multimodel Ensemble System for Forecasting Inundation (71541)
Małgorzata Grażyna Świerczyńska1, Dapeng Yu2, Bartłomiej Miziński1, Tomasz Niedzielski1, Agnieszka Latocha3 and Krzysztof Parzóch3, (1)University of Wrocław, Department of Geoinformatics and Cartography, Wrocław, Poland, (2)Loughborough University, Centre for Hydrological and Ecosystem Science, Department of Geography, Loughborough, United Kingdom, (3)University of Wroclaw, Department of Geomorphology, Wroclaw, Poland
Improving Flood Damage Assessment Models in Italy (72095)
Mattia Amadio1, Jaroslav Mysiak2, Lorenzo Carrera2 and Elco Koks3, (1)Ca' Foscari University, Venice, Italy, (2)Fondazione Eni Enrico Mattei, Venice, Italy, (3)Free University of Amsterdam, IVM, Amsterdam, Netherlands
A Methodology for Forecasting Damage & Economic Consequences to Floods: Building on the National Flood Interoperability Experiment (NFIE) (73719)
Joseph Lee Gutenson, Lian Zhu, Andrew N.S. Ernest, Abdoul Oubeidillah and Xiaoyin Zhang, University of Alabama, Tuscaloosa, AL, United States
Numerical Simulation of Downstream Flooding due to a Flexible-Dam Collapse. The case of “La Esperanza” dam, Hidalgo-México: Implication on Hazard Assessment. (74227)
Omar Salvador Areu Rangel Sr1, Itza Mendoza-Sanchez1, Rosanna Bonasia1 and IPN-ESIA, (1)Instituto Politécnico Nacional, Escuela Superior de Ingeniería y Arquitectura, Sección de Estudios de Posgrado e Investigación, Mexico City, Mexico
Reformulation of Design Channel Width for Small Size Basins Reflecting Climate Change Scenarios (77422)
Jinsu Park, Gyeongsang National University, Jinju, South Korea
Scenario-based Storm Surge Vulnerability Assessment of Catanduanes (78316)
John Kenneth Belena Suarez, Nationwide Operational Assessment of Hazards (Project NOAH), Department of Science and Technology, Quezon City, Philippines
The Characteristic Precipitation and Land Surface Conditions that Lead to Flooding over Different Basin Sizes (78685)
Xiuyuan Li and Tara J. Troy, Lehigh University, Bethlehem, PA, United States
Visionmaker NYC: A bottom-up approach to finding shared socioeconomic pathways in New York City (79247)
Eric Wayne Sanderson1,2, Kim Fisher3, Mario Giampieri3, Jason Barr4, Marci Meixler5, Shorna Broussard Allred6, Katherine E. Bunting-Howarth7 and Bryce DuBois8, (1)Organization Not Listed, Washington, DC, United States, (2)Columbia University of New York, Department of Ecology, Evolution and Environmental Biology, New York, NY, United States, (3)Wildlife Conservation Society, Bronx, NY, United States, (4)Rutgers University Newark, Economics, Newark, NJ, United States, (5)Rutgers University New Brunswick, New Brunswick, NJ, United States, (6)Cornell University, Department of Natural Resources, Ithaca, NY, United States, (7)Cornell University, Cooperative Extension and New York Sea Grant, Ithaca, NY, United States, (8)CUNY Graduate Center, New York, NY, United States
A Methodology For Flood Vulnerability Analysis In Complex Flood Scenarios (80876)
Mario Lloyd Virgilio Martina, Organization Not Listed, Washington, DC, United States
Estimating Non-stationary Flood Risk in a Changing Climate (82100)
Xin Yu, Cornell University, Ithaca, NY, United States, Timothy A Cohn, USGS Headquarters, Reston, VA, United States and Jery R Stedinger, Cornell Univ, Ithaca, NY, United States
Designing Flood Management Systems for Joint Economic and Ecological Robustness (82944)
Caitlin Marie Spence, University of Massachusetts, Amherst, MA, United States
Comparing methods for modeling and detecting flood nonstationarity: an Austrian case study (84139)
Jose Luis Salinas1, Alberto Viglione1, Richard M Vogel2, Jory Seth Hecht2 and Guenter Bloeschl1, (1)Vienna University of Technology, Vienna, Austria, (2)Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States
Flood Risk Analysis Using Non-Stationary Models: Application to 1500 Records and Assessment of Predictive Ability (84285)
Adam Luke1, Brett F Sanders2, Amir Aghakouchak3, Jasper A Vrugt1 and Richard Matthew1, (1)University of California Irvine, Irvine, CA, United States, (2)University of California Irvine, Civil and Environmental Engineering, Irvine, CA, United States, (3)University of California Irvine, The Henry Samueli School of Engineering, Irvine, CA, United States
Why does Japan use the probability method to set design flood? (84869)
Shinichiro Nakamura, Nagoya University, Graduate School of Engineering, Nagoya, Japan and Taikan Oki, University of Tokyo, Bunkyo-ku, Japan
Geomorphology and Mapping of Canyon Lake Gorge from Flood Events (85459)
Atinna Paramita Gunawan, Texas A & M University College Station, College Station, TX, United States
Deformation Monitoring Studies and GPR Application on Dams (85717)
Serdar Bilgi, Istanbul Technical University, Geomatics Engineering, Istanbul, Turkey and Yunus Kalkan, Istanbul Technical University, Istanbul, Turkey
An Operational Tool for Global Monitoring of Inundation Using NPP ATMS Data (86428)
Kibrewossen B Tesfagiorgis, BMCC/CUNY, New York, NY, United States
New methods in hydrologic modeling and decision support for culvert flood risk under climate change (86647)
Ana Rosner1,2, Benjamin H Letcher1, Richard M Vogel3 and Paula Sturdevant Rees4, (1)USGS/Biological Resources Division, S.O. Conte Anadromous Fish Research Center, Turners Falls, MA, United States, (2)Cadmus Group, Inc., Waltham, MA, United States, (3)Tufts University, Department of Civil and Environmental Engineering, Medford, MA, United States, (4)Water Resources Research Center, University of Massachusetts Amherst, Amherst, MA, United States
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