NH22B:
Model, Tools, Techniques, and New Data Streams for Natural Hazards and Emergencies I

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Session ID#: 14831

Session Description:
In recent years, advances in science have enabled new capabilities to acquire near-real time Earth data from space-borne, air-borne and ground based measurements.  Easy access to novel information streams, including social media,  is redefining situation awareness. These streams are diverse, complex and overwhelming in volume, velocity and in the variety of viewpoints they offer.  These multi-sourced data can support assessment, humanitarian assistance and disaster relief operations in ways not previously possible.

Negotiating these overwhelming streams is beyond the capacity of human analysts.Novel research and approaches are necessary to explore new capabilities and challenges to utilize these streams in new, groundbreaking ways, and to leverage, fuse and filter these new data.  This session is organized to explore the opportunities, challenges, solutions and applications of leveraging and synthesizing the multi-sourced data, computing technologies and tools to support the analysis, and to assist in response during various disaster phases (mitigation, preparedness, response, and recovery).
Primary Convener:  Guido Cervone, Pennsylvania State University Main Campus, Department of Geography and Institute for Computational and Data Sciences, University Park, PA, United States
Conveners:  Phu Nguyen, University of California Irvine, Irvine, CA, United States, Qunying Huang, Department of Geography, University of Wisconsin Madison, Geography, Madison, United States and Andrea R Thorstensen, NOAA Boulder, Boulder, CO, United States
Chairs:  Andrea R Thorstensen, NOAA Boulder, Boulder, CO, United States and Qunying Huang, Department of Geography, University of Wisconsin Madison, Geography, Madison, United States
OSPA Liaison:  Phu Nguyen, University of California Irvine, Irvine, CA, United States
Index Terms:

4301 Atmospheric [NATURAL HAZARDS]
4302 Geological [NATURAL HAZARDS]
4303 Hydrological [NATURAL HAZARDS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Social Science Contributions To Risk Management Models for Flash Floods (Invited) (190406)
John Howard Sorensen, Oak Ridge National Laboratory, Retired, Oak Ridge, TN, United States and Dennis S. Mileti, University of Colorado at Boulder, Natural Hazards Center, Boulder, CO, United States
Situational awareness of hazards: Validation of multi-source radiation measurements (132036)
Carolynne Hultquist, Center for International Earth Science Information Network, Columbia University, Palisades, United States and Guido Cervone, Pennsylvania State University Main Campus, Department of Geography and Institute for Computational and Data Sciences, University Park, PA, United States
Probabilistic Flood Mapping using Volunteered Geographical Information (134525)
Samuel J. Rivera, Oregon State University, School of Civil and Construction Engineering, Corvallis, OR, United States, Marc Girons Lopez, Uppsala University, Department of Earth Sciences, Uppsala, Sweden, Jan Seibert, University of Zurich, Department of Geography, Zurich, Switzerland and Barbara E Minsker, University of Illinois at Urbana Champaign, Civil and Environmental Engineering, Urbana, IL, United States
Real-time Social Media Data Analytics for Situational Awareness of the Electric Grid (152346)
Supriya Chinthavali, Sangkeun Lee, Mallikarjun Shankar, Huina Mao and Shyam Thiagarajan, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Numerical modelling of floating debris-associated flash flood processes (166572)
Samantha Helen Mahaffey, Newcastle University, Tyne and Wear, United Kingdom and Qiuhua Liang, Loughborough University, School of Architecture, Building and Civil Engineering, Loughborough, United Kingdom
Application of a finite element flood analysis model to small earth dam washout (143184)
Hajime Kojima1, Yuji Kohgo1, Kiyoshi Shimada1, Hirotaka Saito1, Daisuke Shoda2 and Hisato Suzuki2, (1)Tokyo University of Agriculture and Technology, Tokyo, Japan, (2)NARO National Agriculture and Food Research Organization, Ibaraki, Japan
Integrated Land- and Underwater-Based Sensors for a Subduction Zone Earthquake Early Warning System (178411)
Benoit Pirenne1, Andreas Rosenberger2, Garry C Rogers3, Joseph Henton4, Yuan Lu3 and Teron Moore5, (1)Ocean Networks Canada, Victoria, BC, Canada, (2)Arescon Ltd, Sidney, BC, Canada, (3)Geological Survey of Canada Sidney, Sidney, BC, Canada, (4)Natural Resources Canada, Canadian Geodetic Survey, Sidney, BC, Canada, (5)Ocean Networks Canada, University of Victoria, Victoria, BC, Canada
2D Shallow Water Model with Cells-Aggregation Technique for Large Scale Flood Modelling Using High Resolution Terrain Models. (Invited) (141133)
Lorenzo Begnudelli, FM Global Research, Norwood, MA, United States

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