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REMOTE SENSING DATA FOR COASTAL ZONE VULNERABILITY ASSESSMENT: THE BAY OF ALGIERS CASE

机译:海岸带脆弱性评估的遥感数据:阿尔及尔案例

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Like many of South Mediterranean coastlines, the Algerian coastal zone and Algiers’ bay specifically, is one of the most vulnerable zone. Because of the natural pressures occurring in the region such as earthquake, tsunami risk, erosion / accretion, marine intrusion, etc. Combined with other anthropogenic factors as urban sprawl, pollution, loss of biodiversity and economic value etc... A high degradation of this coastline is noticeable despite all the protection measures brought to these zones, which have sometimes increased its vulnerability.rnThe aim of this work is to generate the Coastal Vulnerability Index (CVI) map related to erosion and flooding. This index, created by Gornitz & White (1990), was particularly focused on “physical parameters of the coast” [3], Then it was improved by McLaughlin & Cooper (2010), who added a socio-economical approach by calculating parameters like demography, land use...etc. The index is obtained by integrating in a GIS, different vulnerability factors of the coastal area.. Many relevant parameters were derived from remote sensing, combined with other data; they are analyzed with a Multicriteria method after being grouped in three sub-indexes; coastal physical characteristics, coastal forcing and socioeconomic factors, in order to produce the CVI.
机译:与许多地中海南部海岸线一样,阿尔及利亚沿海地区和阿尔及尔湾也是最脆弱的地区之一。由于该地区发生的自然压力,例如地震,海啸风险,侵蚀/增生,海洋入侵等。再加上其他人为因素,例如城市扩张,污染,生物多样性丧失和经济价值等。尽管采取了所有保护措施,这些海岸线还是很明显,这些保护措施有时增加了它的脆弱性。这项工作的目的是生成与侵蚀和洪水有关的沿海脆弱性指数(CVI)图。该指标由Gornitz&White(1990)创建,特别关注“海岸的物理参数” [3],然后由McLaughlin&Cooper(2010)进行了改进,他通过计算诸如人口,土地利用等该指数是通过将GIS中沿海地区的不同脆弱性因素集成在一起而获得的。许多相关参数是从遥感中得出的,并结合了其他数据。在将它们分为三个子索引后,使用多准则方法对其进行了分析;沿海的自然特征,沿海的强迫和社会经济因素,以产生CVI。

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