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Applications of Digital Elevation Models and Geographic Information Systems to Coastal Flood Studies along the Shoreline of Raritan Bay, New Jersey

机译:数字高程模型和地理信息系统在新泽西州拉里坦湾沿岸沿海洪水研究中的应用

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摘要

Geographic information systems (GIS) are increasingly used in coastal hazard research for coastal management and for analysis of information following major storm events because of their ability to evaluate multiple data sets. Digital flood zone data sets and qualitative post storm flood water level observations exist for Raritan Bay, New Jersey, an urban estuary. A desktop GIS is used to overlay different digital data sets containing flood zone information and determine the number and length of roads that are within the flood zone. The elevation of the 1% probability flood zone on the digital elevation model is determined from a long-term tidal record at Sandy Hook, New Jersey and roads flooded during a major coastal storm in December 1992. In this article, 1% probability flood zones, also called the 100-year flood zone, are calculated using digital elevation models and compared to 1% probability flood zones from the Federal Emergency Management Agency and the New Jersey Department of Environmental Protection. The 1% probability flood is typically used for flood zone management. The results indicate that digital elevation models and GIS can be used to identify roads that would be flooded by the 1% probability flood comparable to roads found on existing flood zone maps.
机译:由于 的功能,地理信息系统(GIS)越来越多地用于海岸管理和海岸带灾害研究中的沿海灾害研究以及对重大暴风雨后的信息进行分析[sup> 评估多个数据集。在城市河口新泽西州的Raritan Bay,存在数字洪水区数据 集和定性的暴雨后洪水水位观测 。桌面 GIS用于覆盖包含 洪水区信息的不同数字数据集,并确定洪水区内的 道路的数量和长度。数字高程模型上1% 概率洪水区的高程是根据新泽西州桑迪胡克和 在1992年12月的一场重大沿海风暴中被洪水淹没的道路。 在本文中,使用数字高程计算了概率为1%的洪水区域,也称为 100年洪水区域。 模型,并与联邦 紧急管理机构和新泽西州 环境保护部的1%概率洪水区进行了比较。 1%概率的洪水通常 用于洪水区管理。结果表明,数字 高程模型和GIS可用于识别将被 淹没的道路,概率为1%概率洪水可与发现的道路 相提并论在现有的洪水区地图上。

著录项

  • 来源
    《Environmental Geosciences》 |2001年第1期|11-20|共10页
  • 作者

    John Dobosiewicz;

  • 作者单位

    Rutgers University, New Brunswick, NJ 07068;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 23:35:46

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