Physical vulnerability of the coastal zone under wind farms influence of the cities of Pedra Grande and São Miguel do Gostoso/RN, Brazil

Ivens Lorran Clemente de Lacerda, V. Amaro, M. D. F. A. D. Matos, A. Scudelari
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引用次数: 2

Abstract

This study consists of determining the physical vulnerability of the region of São Miguel do Gostoso and Pedra Grande (in northeastern Brazil) before and after wind farm installation. To perform such an investigation, an analysis of the coastline vulnerability of the aforementioned area was conducted, considering changes occurred in the past 30 years and spatially presented separately. The Natural Vulnerability Index (NVI) and Environmental Vulnerability Index (EVI) were calculated through analysis using thematic maps of geomorphology, geology, soils, vegetation, and land use and occupation variables, with their dimensionality and subjectivity determined by the execution of the hierarchical analytical process (HAP) and principal component analysis (PCA). High and very high vulnerability together showed proportions between 18 and 30% in all NVI and EVI scenarios. The Coastal Vulnerability Index (CVI) was defined using two methodologies for the three scenarios of sea level rise established by the Intergovernmental Panel on Climate Change (IPCC): the first one includes six physical or hydrodynamic variables, and the second includes, beyond these, three more variables of anthropogenic action. In all of the applied scenarios, the medium and high vulnerabilities dominated all along the coastline, with the second method being the most optimistic. We can conclude that the installation of the wind farm complex contributed to the increase of the vulnerability of the local ecosystems regarding the three investigated indices; however, it was not the preponderant factor for the determination of the CVI vulnerability degree.
巴西佩德拉格兰德和 o Miguel do Gostoso/RN城市风电场影响下沿海地区的物理脆弱性
本研究包括确定 o Miguel do Gostoso和Pedra Grande地区(位于巴西东北部)在安装风电场前后的物理脆弱性。为了进行这样的调查,我们对上述地区的海岸线脆弱性进行了分析,考虑了过去30年的变化,并在空间上单独呈现。利用地貌、地质、土壤、植被、土地利用和占用等变量的专题图,运用层次分析法(HAP)和主成分分析法(PCA)确定了自然脆弱性指数(NVI)和环境脆弱性指数(EVI)的维度和主观性。在所有NVI和EVI情景中,高脆弱性和极高脆弱性的比例在18 - 30%之间。根据政府间气候变化专门委员会(IPCC)确定的三种海平面上升情景,采用两种方法定义了沿海脆弱性指数(CVI):第一种包括6个物理或水动力变量,第二种包括3个人为活动变量。在所有的应用场景中,中高脆弱性在海岸线上都占主导地位,以第二种方法最乐观。从3个指标来看,风电场的建设增加了当地生态系统的脆弱性;然而,它不是确定CVI脆弱性程度的优势因素。
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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