An Integrated Scenario Ensemble-Based Framework for Hurricane Evacuation Modeling: Part 2-Hazard Modeling

被引:34
作者
Blanton, Brian [1 ]
Dresback, Kendra [2 ]
Colle, Brian [3 ]
Kolar, Randy [2 ]
Vergara, Humberto [4 ]
Hong, Yang [4 ]
Leonardo, Nicholas [3 ]
Davidson, Rachel [5 ]
Nozick, Linda [6 ]
Wachtendorf, Tricia [7 ]
机构
[1] Univ N Carolina, Renaissance Comp Inst, Chapel Hill, NC 27517 USA
[2] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA
[3] SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA
[4] Univ Oklahoma, Hydrometeorol & Remote Sensing Lab, Norman, OK 73019 USA
[5] Univ Delaware, Dept Civil & Environm Engn, Newark, DE USA
[6] Cornell Univ, Civil & Environm Engn, Ithaca, NY USA
[7] Univ Delaware, Dept Sociol & Criminal Justice, Newark, DE USA
基金
美国国家科学基金会;
关键词
Coupled models; hurricane; river flow; storm surge; uncertainty; TROPICAL CYCLONE WINDS; STORM-SURGE ENSEMBLE; SEDIMENT TRANSPORT; HYDRODYNAMIC MODEL; DATA ASSIMILATION; WAVE MODEL; PREDICTION; LANDFALL; SYSTEM; PARAMETERIZATIONS;
D O I
10.1111/risa.13004
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Hurricane track and intensity can change rapidly in unexpected ways, thus making predictions of hurricanes and related hazards uncertain. This inherent uncertainty often translates into suboptimal decision-making outcomes, such as unnecessary evacuation. Representing this uncertainty is thus critical in evacuation planning and related activities. We describe a physics-based hazard modeling approach that (1) dynamically accounts for the physical interactions among hazard components and (2) captures hurricane evolution uncertainty using an ensemble method. This loosely coupled model system provides a framework for probabilistic water inundation and wind speed levels for a new, risk-based approach to evacuation modeling, described in a companion article in this issue. It combines the Weather Research and Forecasting (WRF) meteorological model, the Coupled Routing and Excess STorage (CREST) hydrologic model, and the ADvanced CIRCulation (ADCIRC) storm surge, tide, and wind-wave model to compute inundation levels and wind speeds for an ensemble of hurricane predictions. Perturbations to WRF's initial and boundary conditions and different model physics/parameterizations generate an ensemble of storm solutions, which are then used to drive the coupled hydrologic + hydrodynamic models. Hurricane Isabel (2003) is used as a case study to illustrate the ensemble-based approach. The inundation, river runoff, and wind hazard results are strongly dependent on the accuracy of the mesoscale meteorological simulations, which improves with decreasing lead time to hurricane landfall. The ensemble envelope brackets the observed behavior while providing "best-case" and "worst-case" scenarios for the subsequent risk-based evacuation model.
引用
收藏
页码:117 / 133
页数:17
相关论文
共 84 条
[1]  
[Anonymous], 1992, 48 NOAA NWS US DEP C
[2]  
[Anonymous], TECHNICAL REPORT
[3]   Bi-level optimization for risk-based regional hurricane evacuation planning [J].
Apivatanagul, Pruttipong ;
Davidson, Rachel A. ;
Nozick, Linda K. .
NATURAL HAZARDS, 2012, 60 (02) :567-588
[4]  
Barnes J., 2013, North Carolina's Hurricane History: Fourth Edition, Updated with a Decade of New Storms from Isabel to Sandy
[5]   Coastal flooding in Scituate (MA): A FVCOM study of the 27 December 2010 nor'easter [J].
Beardsley, Robert C. ;
Chen, Changsheng ;
Xu, Qichun .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2013, 118 (11) :6030-6045
[6]   Sensitivity of hurricane forecasts to cumulus parameterizations in the HWRF model [J].
Biswas, Mrinal K. ;
Bernardet, Ligia ;
Dudhia, Jimy .
GEOPHYSICAL RESEARCH LETTERS, 2014, 41 (24) :9113-9119
[7]   Three dimensional hydrodynamic model of New York Harbor region [J].
Blumberg, AF ;
Khan, LA ;
St John, JP .
JOURNAL OF HYDRAULIC ENGINEERING-ASCE, 1999, 125 (08) :799-816
[8]   A third-generation wave model for coastal regions - 1. Model description and validation [J].
Booij, N ;
Ris, RC ;
Holthuijsen, LH .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1999, 104 (C4) :7649-7666
[9]   The MOGREPS short-range ensemble prediction system [J].
Bowler, Neill E. ;
Arribas, Alberto ;
Mylne, Kenneth R. ;
Robertson, Kelvyn B. ;
Beare, Sarah E. .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2008, 134 (632) :703-722
[10]   Surge modelling in the eastern Irish Sea: present and future storm impact [J].
Brown, Jenny M. ;
Souza, Alejandro J. ;
Wolf, Judith .
OCEAN DYNAMICS, 2010, 60 (02) :227-236