Analysis of Flood Risk Due to Sea Level Rise in the Menor Sea (Murcia, Spain)

Antonio Martínez-Graña, Diego Gómez, Fernando Santos-Francés, Teresa Bardají, José Luis Goy and Caridad Zazo
Additional contact information
Antonio Martínez-Graña: Department of Geology, Faculty of Sciences, University of Salamanca, Plaza de la Merced s/n, 37008 Salamanca, Spain
Diego Gómez: Department of Geology, Faculty of Sciences, University of Salamanca, Plaza de la Merced s/n, 37008 Salamanca, Spain
Fernando Santos-Francés: Department of Soil Sciences, Faculty of Environmental Sciences, University of Salamanca, Avenue Filiberto Villalobos, 119, 37007 Salamanca, Spain
Teresa Bardají: Department of Geology, Geography and Environmental Sciences, Sciences Faculty, Road A-II, Km 33,600, 28871 Alcalá Henares, Spain
José Luis Goy: Department of Geology, Faculty of Sciences, University of Salamanca, Plaza de la Merced s/n, 37008 Salamanca, Spain
Caridad Zazo: National Museum of Natural Sciences, Section Geology, Street José Gutiérrez Abascal No. 2, 28006 Madrid, Spain

Sustainability, 2018, vol. 10, issue 3, 1-19

Abstract: This article analyzes the coastal vulnerability and flood risk due to sea level rise in the Menor Sea, Murcia (Spain). The vulnerability has been estimated from Sentinel-2 and Landsat 8 satellite imagery using Remote Sensing techniques. The risk of coastal flooding was calculated based on various time scenarios (X 0 -current, X 1 -100 years, X 2 -500 years, X 3 -1000 years, X 4 -Storm, X 5 -Tsunami). Geographic Information System and Remote Sensing techniques were used to build a regional model to predict changes in the mean sea level for several future scenarios, showing susceptible areas to be flooded. We have included new parameters to the model such as swell, mareal range or neotectonic factors aiming to better adjust it to the local conditions. The results showed a high risk of flooding in the barrier beach and coastal areas of the Menor Sea, with a medium to very high degree of vulnerability for the most populated and touristic areas. The maximum and minimum expected increase of the water sheet for the 100 year scenarios ranged from +4.22 to +5.69 m. This methodology can establish sectors that need structural measures to minimize the impact of the sea level rise occurring due to natural tendency in the short or long term, as well as by extreme events such as storm surges or tsunamis. Furthermore, it can be used in other areas to assist land management decision makers to reduce or mitigate the vulnerability and risk presented against the rise of the sea level.

Keywords: flood risk; coastal vulnerability; Remote Sensing; GIS; environmental impact (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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