首页> 外文期刊>Environmental Geology >Assessing coastal island vulnerability in the Sundarban Biosphere Reserve, India, using geospatial technology
【24h】

Assessing coastal island vulnerability in the Sundarban Biosphere Reserve, India, using geospatial technology

机译:使用地理空间技术评估印度桑达尔班生物圈保护区的沿海岛屿脆弱性

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Rising sea levels and theincreasing intensity of storm surges and tropical cyclones due to climate change and the resulting dynamic shifts in shoreline positions have dramatically increased the exposure risk and vulnerability of local communities inhabiting the ecologically sensitive deltaic tracts of the Sunderbans in India. The impacts arising from such hazard events on this fragile ecosystem need to be gauged to ameliorate the lives and livelihoods of these residents. This article examines the spatial distribution of vulnerability to coastal hazards within the Sundarban Biosphere Reserve (SBR) in India. For this, we have utilized several structural and process variables, which were integrated to construct a coastal vulnerability index (CVI), using the square root equation. The coastlines of the islands located within the SBR were overlain by 543 grids, each of 2x2 km dimension, to assign the risk rank for each considered variable. This revealed that of the total shoreline length (754km), nearly one-fourth was very highly vulnerable, followed by highly vulnerable (27.8%), moderately vulnerable (27.9%) and low vulnerability (18.8%). Of the total islands located in these grids (27), the coastline of eleven islands was found to have very high vulnerability, five experienced high vulnerability, eight recorded moderate vulnerability while only three had low vulnerability status. The ambient geomorphological characteristics, coastal area slope, the rate of shoreline change and sea level rise were significant variables that accorded high and very high vulnerability to the islands. TheCVI helped in identifying islands that require immediate attention for lessening the impact of climate change induced hazards in the SBR and also aided the assessment of the physical and coastal vulnerability conditions of these islands. This approach can be effectively utilized for assessing coastal vulnerability and for creating a holistic approach towards coastal conservation and management.
机译:由于气候变化,海平面上升以及风暴潮和热带气旋的强度增加,以及由此引起的海岸线位置的动态变化,极大地增加了居住在印度桑德班斯生态敏感三角洲的当地社区的暴露风险和脆弱性。必须评估此类危害事件对这个脆弱的生态系统的影响,以改善这些居民的生活和生计。本文研究了印度Sundarban生物圈保护区(SBR)中对沿海灾害的脆弱性的空间分布。为此,我们利用了几个结构和过程变量,使用平方根方程将这些变量整合在一起,以构建沿海脆弱性指数(CVI)。位于SBR内的岛屿的海岸线被543个网格覆盖,每个网格的尺寸为2x2 km,从而为每个要考虑的变量分配风险等级。这表明,在海岸线总长度(754公里)中,近四分之一是高度脆弱的,其次是高度脆弱(27.8%),中度脆弱(27.9%)和低脆弱性(18.8%)。在位于这些网格中的全部岛屿中(27个),发现有11个岛屿的海岸线具有很高的脆弱性,其中5个经历了高脆弱性,有8个记录为中等脆弱性,只有3个处于低脆弱性状态。环境地貌特征,沿海地区的坡度,海岸线变化的速率和海平面上升是重要的变量,这些变化使这些岛屿具有很高的脆弱性。 CVI帮助确定了需要立即关注的岛屿,以减轻气候变化对SBR造成的危害的影响,还帮助评估了这些岛屿的自然和沿海脆弱性状况。这种方法可以有效地用于评估沿海脆弱性,并为沿海保护和管理创造整体方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号