A methodological framework for selecting an optimal sediment source within a littoral cell

JOURNAL OF ENVIRONMENTAL MANAGEMENT

卷:296

Article

Gracia, Vicente^1,2  Pau Sierra, Joan^1,2  Caballero, Alberto¹  Garcia-Leon, Manuel³  Mosso, Cesar^1,2 

[1] Univ Politecn Catalunya BarcelonaTech, Lab Engn Maritima, Jordi Girona 1-3,Modul D1,Campus Nord, Barcelona 08034, Catalonia, Spain

[2] Ctr Int Invest Recursos Costaners CIIRC, Jordi Girona 1-3,Modul D1,Campus Nord, Barcelona 08034, Catalonia, Spain

[3] Puertos Estado Area Medio Fis, Av Partenon 10, Madrid 28033, Spain

关键词: Coastal management;    Sediment recycling;    Coastal erosion;    Coastal flooding;    Wave storm;    Methodological framework;   

DOI  :  10.1016/j.jenvman.2021.113207

来源: Elsevier

【 摘 要 】

One of the most used measures to counteract coastal erosion is beach nourishment. It has advantages with respect to the use of rigid structures that sometimes entail non desired impacts on the surrounding areas. However, beach nourishments are often unsuccessful, requiring frequent refills due to the use of sediments that are not suitable. In this paper, a methodological framework for increasing the probability of success of beach nourishment projects is presented. First, this framework consists of detecting potential borrowing areas, by analysing shoreline evolution and selecting the stretch that shows a more accretive character. Once the borrowing area has been identified, several sand extraction options are defined. The beach response (in terms of erosion and flooding) to each sand extraction alternative is analysed by using two numerical models, which simulate the hydromorphodynamic patterns in the studied area. The numerical model results allow to find the best extraction alternative, which is that producing the least impact in the borrow area. As an example, the methodology is applied to a stretch of the Catalan coast (NW Mediterranean) to illustrate its potential. The proposed methodology shows to be a useful tool for helping coastal managers to optimize their available resources.

【 授权许可】

Free