Sectores costeros más vulnerables entre Lurín y Pucusana ante un posible aumento del nivel del mar como consecuencia del cambio climático: Adaptación y aplicación del índice de vulnerabilidad costera de Gornitz

Rosa De La Cruz
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引用次数: 1

Abstract

This article identifies the most vulnerable locations in the beaches south of the city of Lima, between Lurin and Pucusana, caused by a potential increase in sea level as a result of climate change. The research was based on the adaptation and application of the Coastal Vulnerability Index (CVI) of Gornitz et al. (1991). Originally, CVI index focuses on physical variables. However, human variables were also included because the study zone is a densely populated area with constant growth in commerce, services, industries and urban constructions projects. The coastal zone south of Lima hasn’t been studied thoroughly before, so to address it systematically, six variables were identified. The following three physical variables were considered: slope, geomorphology and coastal line variation; as well as the following three socioeconomic ones: distance to infrastructure, land use and population density. The integration of the six variables in the IVC allowed the study to categorize four different degrees of vulnerability of the coastal sector (very high, high, moderate, low, and very low). The results of this investigation showed that, from the thirteen spatial units of analysis evaluated, those with very high vulnerability were: Senoritas, Embajadores and Pucusana and those with very low vulnerability were Lurin, Quebrada and the Roca sector. The application of these two types of variables showed that the socioeconomic factors contribute to the increase of vulnerability of the coastal zone while the physical variables contributes to the decrease of it.
面对气候变化可能导致海平面上升,卢林和普库萨纳之间最脆弱的沿海部门:适应和应用戈尼茨沿海脆弱性指数
这篇文章指出了利马市南部、位于卢林和普库萨纳之间的海滩上最脆弱的地方,气候变化可能导致海平面上升。研究基于Gornitz et al.(1991)海岸带脆弱性指数(Coastal Vulnerability Index, CVI)的适应与应用。原本,CVI指数关注的是物理变量。然而,由于研究区是一个人口密集的地区,商业、服务业、工业和城市建设项目不断增长,因此也包括了人为因素。利马以南的沿海地区以前没有被彻底研究过,所以为了系统地解决这个问题,我们确定了六个变量。考虑了以下三个物理变量:坡度、地貌和海岸线变化;以及以下三个社会经济因素:与基础设施的距离、土地利用和人口密度。综合IVC中的六个变量,该研究将沿海地区的脆弱性分为四种不同程度(非常高、高、中等、低和非常低)。调查结果表明,在13个分析单元中,脆弱性非常高的是Senoritas、Embajadores和Pucusana,脆弱性非常低的是Lurin、Quebrada和Roca。这两类变量的应用表明,社会经济因素对海岸带脆弱性的增加有贡献,而物理变量对海岸带脆弱性的降低有贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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