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首页> 外文期刊>Canadian Water Resources Journal >Ranking of Waterways Susceptible to Adverse Stormwater Effects
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Ranking of Waterways Susceptible to Adverse Stormwater Effects

机译：易受雨水影响的航道排名

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摘要

A new method is developed to integrate empirical data and watershed properties with geographic information systems (GIS) tools to prioritize the sensitivities of streams to deterioration arising from adverse stormwater effects. A risk-based decision-making process based on fuzzy logic methodology is employed, using a broad spectrum of parameters to evaluate stream systems, to rank susceptibility to adverse stormwater effects, and to establish management priorities. The methodology is applied to Grindstone Creek and Highland Creek, two systems with varying susceptibility to the effects of erosion. A comparison of results shows that Highland Creek has a greater risk than Grindstone Creek. Overall, the fuzzy logic methodology was found to be an effective tool for evaluating and prioritizing streams that are susceptible to adverse stormwater effects to establish management priorities.
机译：开发了一种将经验数据和流域属性与地理信息系统（GIS）工具集成在一起的新方法，以优先考虑河流对因不利的暴雨影响而引起的恶化的敏感性。采用了基于模糊逻辑方法的基于风险的决策过程，该过程使用广泛的参数来评估河流系统，对对雨水不利影响的敏感性进行排序并确定管理优先级。该方法适用于Grindstone Creek和Highland Creek，这两种系统对侵蚀影响的敏感性不同。结果比较表明，Highland Creek的风险大于Grindstone Creek。总体而言，模糊逻辑方法被认为是评估和确定容易受到雨水不利影响的河流的优先次序的有效工具，从而确定了管理重点。

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  • 来源
    《Canadian Water Resources Journal》 |2009年第3期|205-227|共23页
  • 作者

    Ed Gazendam; Bahram Gharabaghi; Ed McBean; Hugh Whiteley; Ray Kostaschuk;

  • 作者单位

    School of Engineering, University of Guelph, Guelph, ON N1G 2W1;

    School of Engineering, University of Guelph, Guelph, ON N1G 2W1;

    School of Engineering, University of Guelph, Guelph, ON N1G 2W1;

    School of Engineering, University of Guelph, Guelph, ON N1G 2W1;

    Department of Geography, University of Guelph, Guelph, ON N1G 2W;

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