利用遥感和地理信息系统对毛里求斯大湾海啸脆弱性的评估

Q4 Social Sciences
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引用次数: 0

摘要

位于印度洋的小岛屿国家大多容易受到马克兰和苏门答腊地震源引发的海啸的影响。2004年12月26日苏门答腊-安达曼地震引发的海啸造成了轻微的洪水泛滥,而附近的罗德里格斯岛海岸内的涌浪相对较高。作为一个以沙滩和蓝色泻湖闻名的旅游目的地,大多数酒店和外国投资的房地产大多位于沿海地区,这使得毛里求斯的经济支柱很容易受到最轻微的海啸威胁。因此,这项研究旨在评估毛里求斯北部地区,即大湾,在可能的海啸威胁下的脆弱性。评估分为三个主要脆弱性领域,即建筑和基础设施脆弱性、人类生命脆弱性和环境脆弱性。所建立的方法包括使用QGIS软件从卫星光栅图像中对大湾地区进行数字化,用地理空间和属性数据显示划定区域。使用QGIS软件中的区域交叉点进行分析。脆弱性指数是使用风险矩阵分析计算的,风险矩阵分析反过来绘制在QGIS中,显示了高度暴露的建筑物、受到重大威胁的人类生命的说明以及可能遭受盐水渗透的地区,作为负面环境影响的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tsunami Vulnerability Assessment of Grand Bay, Mauritius, Using Remote Sensing and Geographical Information System (GIS)
Small island countries located in the Indian ocean are mostly vulnerable to tsunamis generated from the Makran and Sumatra earthquake sources. A minor inundation was experienced from the 26th December 2004 tsunami caused by the Sumatra Andaman earthquake while the close island of Rodrigues recorded relatively high surges within its coasts. As a tourist destination for its sandy beaches and blue lagoons, most hotels and foreign invested real estates are located mostly within the coastal region, making the Mauritian economic mainstay vulnerable to the slightest tsunami threat. This research study therefore aims at assessing the vulnerability of the northern region of Mauritius namely Grand Bay, under a possible tsunami threat. Assessment has been categorised in three main vulnerability areas namely the building and infrastructure vulnerability, the human life vulnerability and the environmental vulnerability. The methodology set up includes digitalisation of the Grand Bay region using the QGIS software from satellite raster images, showing the demarked area with geospatial and attributes data. These were analysed using the area intersection in the QGIS Software. Vulnerability indexing was calculated using a risk matrix analysis which was in turn mapped in QGIS, showing highly exposed buildings, an account for human lives under major threat and areas that can suffer saline water infiltration as part of the negative environmental impact.
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来源期刊
International Journal of Geoinformatics
International Journal of Geoinformatics Social Sciences-Geography, Planning and Development
CiteScore
1.00
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