Regional-scale probabilistic shoreline evolution modelling for flood-risk assessment

被引:8
|
作者
Stripling, Stuart [1 ]
Panzeri, Michael [2 ]
Blanco, Belen [2 ]
Rossington, Kate [2 ]
Sayers, Paul [3 ]
Borthwick, Alistair [4 ]
机构
[1] Univ Plymouth, Sch Engn, Plymouth PL4 8AA, Devon, England
[2] HR Wallingford Ltd, Howbery Pk, Wallingford OX10 8BA, Oxon, England
[3] Sayers & Partners LLP, 24a High St, Watlington OX49 5PY, England
[4] Univ Edinburgh, Sch Engn, Kings Bldg, Edinburgh EH9 3JL, Midlothian, Scotland
基金
英国工程与自然科学研究理事会;
关键词
Shoreline evolution; Flood/Erosion-risk; Probabilistic modelling; Wave filtering; Regional scale; BEACH;
D O I
10.1016/j.coastaleng.2016.12.002
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Rapid deterministic modelling of shoreline evolution at regional and coastal-scheme scale enables Monte-Carlo simulations by which long-term shoreline statistics cart be estimated. This paper describes UnaLinea, a fast, accurate finite difference solver of the one-line sediment continuity equation. The model is verified for the evolution of an initially straight shoreline of a plane beach subject to regular breaking waves at constant angle of incidence in the presence of either a groyne or a continuous single-point feed of sediment. Grid convergence and stability tests are used to obtain accurate, stable results, With satisfactory computational efficiency. Influences of wave input filtering and event-based sediment loading ate considered. The rapid deterministic model is applied to Monte-Carlo simulations of the evolution of the west coast of Calabria, Italy for different scenarios including increased sediment load from a river and selected beach nourishment The potential role of probabilistic shoreline evolution in regional coastal flood-risk assessment is explored through application to an idealised stretch of the Holderness coastline, U.K., where flood depths and expected damage are estimated for a 1000 year return period event.
引用
收藏
页码:129 / 144
页数:16
相关论文
共 50 条
  • [1] A methodology for regional-scale flood risk assessment
    Gouldby, B.
    Sayers, P.
    Mulet-Marti, J.
    Hassan, M. A. A. M.
    Benwell, D.
    [J]. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2008, 161 (03) : 169 - 182
  • [2] Modelling shoreline evolution to enhance flood risk assessment
    Stripling, S.
    Panzeri, M.
    [J]. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MARITIME ENGINEERING, 2009, 162 (03) : 137 - 144
  • [3] Discussion: A methodology for regional-scale flood risk assessment
    Redaelli, Marco
    Dyer, Mark
    [J]. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2009, 162 (05) : 347 - 347
  • [5] A Framework Proposal for Regional-Scale Flood-Risk Assessment of Cultural Heritage Sites and Application to the Castile and Leon Region (Central Spain)
    Garrote, Julio
    Diez-Herrero, Andres
    Escudero, Cristina
    Garcia, Ines
    [J]. WATER, 2020, 12 (02)
  • [6] Impact of modelling scale on probabilistic flood risk assessment: the Malawi case
    Rudari, Roberto
    Beckers, Joost
    De Angeli, Silvia
    Rossi, Lauro
    Trasforini, Eva
    [J]. 3RD EUROPEAN CONFERENCE ON FLOOD RISK MANAGEMENT (FLOODRISK 2016), 2016, 7
  • [7] A probabilistic approach to CPTU interpretation for regional-scale geotechnical modelling
    Tonni, L.
    Martinez, M. F. Garcia
    Rocchi, I.
    Zheng, S.
    Cao, Z. J.
    Martelli, L.
    Calabrese, L.
    [J]. CONE PENETRATION TESTING 2018, 2018, : 629 - 634
  • [8] Systems framework for regional-scale integrated modelling and assessment
    Greiner, R
    [J]. MATHEMATICS AND COMPUTERS IN SIMULATION, 2004, 64 (01) : 41 - 51
  • [9] Regional-scale landslide risk assessment in Central Asia
    Caleca, Francesco
    Scaini, Chiara
    Frodella, William
    Tofani, Veronica
    [J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2024, 24 (01) : 13 - 27
  • [10] A probabilistic risk modelling chain for analysis of regional flood events
    Oliver, J.
    Qin, X. S.
    Madsen, H.
    Rautela, P.
    Joshi, G. C.
    Jorgensen, G.
    [J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 33 (4-6) : 1057 - 1074