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Multi-Criteria Decision Making on the position of High Water Mark

机译:高水位标记的多标准决策

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摘要

As a cadastral boundary to separate water and land, the High Water Mark (HWM) is important for coastal management and planning. However, contemporary research has failed to reach consensus on methods for HWM determination because of continual changes in tidal levels, together with unimpeded wave runup and the erosion and accretion of shorelines, which make it difficult to determine an agreeable position of the HWM. In this paper, a consistent and robust methodology is presented for the determination of the HWM over space and time. Existing HWM indicators are evaluated based on three criteria: precision, stability and inundation risk. These indicators are then integrated into a Multi-Criteria Decision Making (MCDM) model to assist in selecting the most suitable HWM determination methods for different purposes, such as coastal management or planning. The methodology is implemented using two coastal case studies in Western Australia for testing the robustness of the developed methodology in two distinctly different coastal environments. Research results show that the position of the dune toe is the most suitable indicator of the HWM for coastal hazards planning, and spatial continuity of tidal probability (SCTP) is the most ideal HWM for coastal property management purposes.
机译:高地水位线(HWM)作为分隔水和土地的地籍边界,对于沿海地区的管理和规划很重要。但是,由于潮汐水位的不断变化,加上波幅不加限制,海岸线的侵蚀和积聚,当代的研究未能在确定HWM的方法上达成共识。在本文中,提出了一种一致且稳健的方法来确定随时间和空间变化的HWM。现有的HWM指标基于以下三个标准进行评估:精度,稳定性和淹没风险。然后将这些指标集成到多标准决策(MCDM)模型中,以帮助选择最合适的HWM确定方法用于不同目的,例如海岸管理或规划。该方法是使用西澳大利亚州的两个沿海案例研究来实施的,目的是在两种截然不同的沿海环境中测试已开发方法的鲁棒性。研究结果表明,沙丘脚趾的位置是进行沿海灾害规划的HWM最合适的指标,而潮汐概率的空间连续性(SCTP)是用于沿海物业管理的最理想的HWM。

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  • 来源
    《Ocean & coastal management》 |2014年第12期|191-199|共9页
  • 作者单位

    Department of Spatial Sciences, Curtin University, Bentley, WA 6102, Australia,Australasian Joint Research Centre for Building Information Modelling, Curtin University, Bentley, WA 6102, Australia;

    Department of Spatial Sciences, Curtin University, Bentley, WA 6102, Australia;

    Research and Development, Curtin University, Bentley, WA 6102, Australia;

    Department of Spatial Sciences, Curtin University, Bentley, WA 6102, Australia;

    Department of Civil Engineering, College of Engineering, Ocean University of China, Qingdao, Shandong 266100, China;

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