Assessment of Coastal Vulnerability to Erosion Risk Using Geospatial and Remote Sensing Methods (Case of Jerba Island, Tunisia)

被引:3
|
作者
Boussetta, Amina [1 ]
Niculescu, Simona [2 ]
Bengoufa, Soumia [3 ,4 ]
Mejri, Hajer [5 ]
Zagrarni, Mohamed Faouzi [1 ]
机构
[1] Univ Gabes, Higher Inst Water Sci & Tech, UR Appl Hydrosci UR13ES81, Cite Erryadh, Gabes, Tunisia
[2] Univ Western Brittany, Lab LETG Brest, UMR 6554, CNRS, Plouzane, France
[3] Univ Western Brittany, CNRS, LETG Brest, UMR 6554, Technopole Brest Iroise,Av Dumont Urville, Plouzane, France
[4] Univ Campus Dely Ibrahim Bois Cars, Natl Sch Marine Sci & Coastal Management ENSSMAL, Algiers, Algeria
[5] Univ Gafsa, Natl Engn Sch Gafsa ENIGA, UR Appl Hydrosci UR13ES81, Gafsa, Tunisia
来源
EUROPEAN SPATIAL DATA FOR COASTAL AND MARINE REMOTE SENSING, EUCOMARE 2022 | 2023年
关键词
CVI; Erosion; Island; Jerba; OBIA; Remote sensing; RF; Vulnerability;
D O I
10.1007/978-3-031-16213-8_7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Located in the southeast of Tunisia, Jerba is considered a premier tourist destination offering beautiful sandy beaches. Since 1960, the island has undergone significant socio-economic transformations due to its tourism boom. Beach tourism is extremely popular among the population, which has contributed to an intensification of coastal vulnerability, wherein the beaches are threatened with disappearance. This work aims to identify the causes of coastal vulnerability and measure it based on different geophysical and socio-economic variables using the coastal vulnerability index (CVI) developed by Gornitz (Vulnerability of the US to future sea level rise, Coastal Zone, Proceedings of the 7th Symposium on Coastal and Ocean Management, American Society of Civil Engineers, 1345-1359, 1991). This allows us to identify the most vulnerable sites and to establish maps and data for coastal management purposes. The results obtained show 63% (14 km) of the coastline of the northeast coast of the island has a high to very high degree of vulnerability. Moreover, 37% of the coastline of the southeast of the island has a low to moderate vulnerability or about 22 km of the entire coastline. The quantitative measures relating to this coastal vulnerability can aid to fortify the coast against a rise in sea level.
引用
收藏
页码:113 / 132
页数:20
相关论文
共 50 条
  • [41] Aquifer vulnerability and seawater intrusion risk using GALDIT, GQISWI and GIS: case of a coastal aquifer in Tunisia
    Trabelsi, Nadia
    Triki, Ibtissem
    Hentati, Imen
    Zairi, Moncef
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (08)
  • [42] Aquifer vulnerability and seawater intrusion risk using GALDIT, GQISWI and GIS: case of a coastal aquifer in Tunisia
    Nadia Trabelsi
    Ibtissem Triki
    Imen Hentati
    Moncef Zairi
    Environmental Earth Sciences, 2016, 75
  • [43] USING REMOTE SENSING DATA FOR CALCULATING THE COASTAL EROSION IN SOUTHERN THAILAND
    Pantanahiran, W.
    ISPRS TECHNICAL COMMISSION III WG III/2, 10 JOINT WORKSHOP MULTIDISCIPLINARY REMOTE SENSING FOR ENVIRONMENTAL MONITORING, 2019, 42-3 (W7): : 51 - 56
  • [44] Coastal vulnerability assessment for Chennai, east coast of India using geospatial techniques
    Kumar, A. Arun
    Kunte, Pravin D.
    NATURAL HAZARDS, 2012, 64 (01) : 853 - 872
  • [45] Coastal vulnerability assessment of Meghna estuary of Bangladesh using integrated geospatial techniques
    Mahmood, Riffat
    Ahmed, Naser
    Zhang, Li
    Li, Guoqing
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 42
  • [46] Coastal vulnerability assessment for Chennai, east coast of India using geospatial techniques
    A. Arun Kumar
    Pravin D. Kunte
    Natural Hazards, 2012, 64 : 853 - 872
  • [47] Spatial assessment of soil erosion by water using RUSLE model, remote sensing and GIS: a case study of Mellegue Watershed, Algeria-Tunisia
    Weslati, Okba
    Serbaji, Mohamed-Moncef
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (01)
  • [48] Introduction for Innovative Methods for Geospatial Data using Remote Sensing and GIS
    Bakirman, Tolga
    Arampatzis, George
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2023, 89 (09): : 531 - 531
  • [49] Using geospatial business intelligence paradigm to design a multidimensional conceptual model for efficient coastal erosion risk assessment
    Jadidi, Amaneh
    Mostafavi, Mir Abolfazl
    Bedard, Yvan
    Long, Bernard
    Grenier, Eve
    JOURNAL OF COASTAL CONSERVATION, 2013, 17 (03) : 527 - 543
  • [50] Using geospatial business intelligence paradigm to design a multidimensional conceptual model for efficient coastal erosion risk assessment
    Amaneh Jadidi
    Mir Abolfazl Mostafavi
    Yvan Bédard
    Bernard Long
    Eve Grenier
    Journal of Coastal Conservation, 2013, 17 : 527 - 543