Simplified two-dimensional numerical modelling of coastal flooding and example applications

被引:173
作者
Bates, PD
Dawson, RJ
Hall, JW
Matthew, SHF
Nicholls, RJ
Wicks, J
Hassan, MAAM
机构
[1] Univ Bristol, Sch Geog Sci, Bristol BS8 1SS, Avon, England
[2] Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[3] Univ Southampton, Sch Civil Engn & Environm, Southampton SO17 1BJ, Hants, England
[4] Univ Southampton, Tyndall Ctr Climate Change Res, Southampton SO17 1BJ, Hants, England
[5] Halcrow Ltd, Swindon SN4 0QD, Wilts, England
[6] HR Wallingford Ltd, Wallingford, Oxon, England
[7] Univ Bristol, Dept Civil Engn, Bristol BS8 1TR, Avon, England
关键词
coastal flooding; 2D numerical modelling; inundation; defence overtopping; sea level rise;
D O I
10.1016/j.coastaleng.2005.06.001
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper we outline the development and application of a simple two-dimensional hydraulic model for use in assessments of coastal flood risk. Such probabilistic assessments typically need evaluation of many thousands of model simulations and hence computationally efficient codes of the type described here are required. The code, LISFLOOD-FP, uses a storage cell approach discretized as a regular grid and calculates the flux between cells explicitly using analytical relationships derived from uniform flow theory. The resulting saving in computational cost allows fine spatial resolution simulations of regional scale flooding problems within minutes or a few hours on a standard desktop PC. The development of the code for coastal applications is described, followed by an evaluation of its performance against four test cases representing a variety of flooding problems at different scales. For three of these cases an observed flood extent is available to compare to model predictions. In each case the model is able to match the observed shoreline to within the error of the of the observed flow, topography and validation data and outperforms a non-model flood extent prediction made using a simple Geographical Information System (GIs) technique. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:793 / 810
页数:18
相关论文
共 55 条
[1]  
Alkema D., 2003, STUDI TRENTINI DI SC, V78, P147
[2]  
[Anonymous], EM111021619 USACE
[3]  
[Anonymous], 2002, CLIMATE CHANGE SCENA
[4]   Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data [J].
Aronica, G ;
Hankin, B ;
Beven, K .
ADVANCES IN WATER RESOURCES, 1998, 22 (04) :349-365
[5]   Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE [J].
Aronica, G ;
Bates, PD ;
Horritt, MS .
HYDROLOGICAL PROCESSES, 2002, 16 (10) :2001-2016
[6]   Bayesian updating of flood inundation likelihoods conditioned on flood extent data [J].
Bates, PD ;
Horritt, MS ;
Aronica, G ;
Beven, K .
HYDROLOGICAL PROCESSES, 2004, 18 (17) :3347-3370
[7]   A simple raster-based model for flood inundation simulation [J].
Bates, PD ;
De Roo, APJ .
JOURNAL OF HYDROLOGY, 2000, 236 (1-2) :54-77
[8]   Coastal modelling for flood defence [J].
Battjes, JA ;
Gerritsen, H .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2002, 360 (1796) :1461-1475
[9]  
Bechteler W., 1994, P 2 INT C RIV FLOOD, P155
[10]  
Beven K, 2000, NONLINEAR AND NONSTATIONARY SIGNAL PROCESSING, P115