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Integrated Ocean, Earth, and Atmospheric Observations for Resilience Planning in Hampton Roads, Virginia

机译:弗吉尼亚汉普顿路的防灾规划综合海洋,地球和大气观测

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摘要

Building flood resilience in coastal communities requires a precise understanding of the temporal and spatial scales of inundation and the ability to detect and predict changes in flooding. In Hampton Roads, the Intergovernmental Pilot Project's Scientific Advisory Committee recommended an integrated network of ocean, earth, and atmospheric data collection from both private and public sector organizations that engage in active scientific monitoring and observing. Since its establishment, the network has grown to include monitoring of water levels, land subsidence, wave measurements, current measurements, and atmospheric conditions. High-resolution land elevation and land cover data sets have also been developed. These products have been incorporated into a number of portals and integrated tools to help support resilience planning. Significant challenges to building the network included establishing consistent data standards across organizations to allow for the integration of the data into multiple, unique products and funding the expansion of the network components. Recommendations to the network development in Hampton Roads include the need to continue to support and expand the publicly available network of sensors; enhance integration between ocean, earth, and atmospheric networks; and improve shallow water bathymetry data used in spatial flooding models.
机译:在沿海社区建立抗洪能力需要对淹没的时空尺度以及对洪水的探测和预测能力有准确的了解。在汉普顿路,政府间试点项目的科学咨询委员会建议从参与积极的科学监测和观察的私营和公共部门组织收集海洋,地球和大气数据的综合网络。自建立以来,该网络已发展为包括水位监测,地面沉降,波浪测量,电流测量和大气状况。还开发了高分辨率的土地海拔和土地覆盖数据集。这些产品已集成到许多门户和集成工具中,以帮助支持弹性规划。建立网络的重大挑战包括跨组织建立一致的数据标准,以允许将数据集成到多个独特产品中,并为扩展网络组件提供资金。对汉普顿路网络开发的建议包括需要继续支持和扩展传感器的公共可用网络;加强海洋,地球和大气网络之间的融合;并改善用于空间洪水模型的浅水测深数据。

著录项

  • 来源
    《Marine Technology Society journal》 |2018年第2期|68-83|共16页
  • 作者单位

    Virginia Inst Marine Sci, Coll William & Mary, Ctr Coastal Resources Management, 1208 Greate Rd, Gloucester Point, VA 23062 USA;

    Virginia Inst Marine Sci, Coll William & Mary, Ctr Coastal Resources Management, 1208 Greate Rd, Gloucester Point, VA 23062 USA;

    Old Dominion Univ, Ctr Coastal Phys Oceanog, Norfolk, VA 23529 USA;

    Old Dominion Univ, Ctr Coastal Phys Oceanog, Norfolk, VA 23529 USA;

    Old Dominion Univ, Dept Polit Sci & Geog, Norfolk, VA USA;

    Virginia Inst Marine Sci, Coll William & Mary, Dept Phys Sci, Gloucester Point, VA 23062 USA;

    Old Dominion Univ, Ctr Coastal Phys Oceanog, Norfolk, VA 23529 USA;

    Old Dominion Univ, Dept Civil & Environm Engn, Norfolk, VA USA;

    CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA;

    CoastalObsTechServ LLC, Virginia Beach, VA USA;

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

    sensor; flood; water level; monitoring; StormSense;

    机译:传感器;洪水;水位;监测;StormSense;

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