首页> 外文期刊>Journal of Coastal Conservation >Tropical cyclone risk mapping for a coastal city using geospatial techniques
【24h】

Tropical cyclone risk mapping for a coastal city using geospatial techniques

机译:使用地理空间技术的沿海城市的热带气旋风险映射

获取原文
获取原文并翻译 | 示例
           

摘要

Tropical cyclone associated storm surges and their disastrous influences are becoming a major concern amongst the worldwide coastal community. The detailed risk modelling study seems an urgent need to support the storm surge mitigation actions. Using a Geographic Information System (GIS) based risk model, this study attempted to obtain both present and future storm surge wave heights in the Cox's Bazar Sadar Upazilla in Bangladesh. Linear storm surge model setup was done for the different return periods includes 5, 10, 20, 50, and 100 years. Also, to assess climate change effects, a 0.34 m sea-level rise in 2050 was tested using the regional scale surge models. The simulated storm surge model provided a time series dataset for the risk model and obtained risk maps comprised of the relationship among risk zone and the return periods. With the present inundation depth trend, the acquired risk maps of 50 and 100 year return period showed that 10.13% and 36.4% of the study area belongs to very high-risk zone respectively. Conversely, for future inundation depth conditions 30.83% and 49.9% of the study area would be within a very high-risk zone in 50 and 100 year return period respectively. This is envisaged that a detailed historical inundation dataset could enrich the adopted approach considering both present and future storm surge risk modelling for the Decision Support System (DSS). Also, this approach might be adopted for other identical coastal environments to aid mitigation programs and strategies.
机译:与热带气旋相关的风暴潮及其灾难性影响正成为全球沿海社区关注的主要问题。详细的风险建模研究似乎迫切需要支持风暴潮缓解行动。利用基于地理信息系统(GIS)的风险模型,本研究试图获得孟加拉国科克斯巴扎尔-萨达尔-乌帕齐拉地区目前和未来的风暴潮波高。线性风暴潮模型的建立是针对不同的重现期,包括5年、10年、20年、50年和100年。此外,为了评估气候变化的影响,使用区域尺度的激增模型对2050年海平面上升0.34米进行了测试。模拟风暴潮模型为风险模型提供了一个时间序列数据集,并获得了由风险区和重现期之间的关系组成的风险图。根据目前的淹没深度趋势,获得的50年一遇和100年一遇风险图显示,研究区域的10.13%和36.4%分别属于非常高风险区。相反,在未来的淹没深度条件下,研究区域的30.83%和49.9%将分别在50年和100年重现期内处于非常高的风险区内。考虑到决策支持系统(DSS)的当前和未来风暴潮风险建模,预计详细的历史洪水数据集可以丰富所采用的方法。此外,这种方法也可用于其他相同的沿海环境,以帮助缓解项目和战略。

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