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The Automated Geospatial Watershed Assessment Tool (AGWA): Using Rainfall and Streamflow Records from Burned Watersheds to Evaluate and Improve Parameter Estimations

机译:自动化的地理空间分水岭评估工具(AGWA):使用燃烧后的分水岭的降雨和流量记录来评估和改进参数估算

摘要

Precipitation and runoff records from several burned watersheds have been used to evaluate the performance of the Automated Geospatial Watershed Assessment (AGWA) tool as it is used to assign parameters to the KINmatic runoff and EROSion Model 2 (KINEROS2). This modeling scheme is used by the Department of Interior Burned Area Emergency Response (DOI BAER) teams to assess flooding and erosion risk immediately following a wildfire. Although DOI BAER teams use this parameterization/modeling framework to assess the relative change in watershed behavior following a wildfire by driving the model with National Oceanic and Atmospheric Administration (NOAA) design storms, calibrations performed on actual events using rainfall estimations provided by rain gages and radar to drive the model provides insight into the model's performance, and potentially informs changes and developments to the AGWA parameter estimation scheme. Results indicate that current parameter modifications made by AGWA to represent fire impacts provide reasonable results for DOI BAER relative change risk assessments, though additional modifications to saturated hydraulic conductivity may be necessary to represent a broader range of storm intensity.
机译:来自多个燃烧流域的降水和径流记录已用于评估自动地理空间流域评估(AGWA)工具的性能,因为该工具用于为KINmatic径流和侵蚀模型2(KINEROS2)分配参数。内部燃烧区紧急响应部(DOI BAER)团队使用此建模方案评估野火后立即发生的洪水和侵蚀风险。尽管DOI BAER团队使用此参数化/建模框架通过国家海洋和大气管理局(NOAA)设计风暴来驱动模型来评估野火后流域行为的相对变化,但使用雨量计和雨量计提供的降雨估计值对实际事件进行了校准。雷达驱动模型可以深入了解模型的性能,并有可能为AGWA参数估计方案提供更改和发展信息。结果表明,由AGWA进行的代表火灾影响的当前参数修改为DOI BAER相对变化风险评估提供了合理的结果,尽管可能需要对饱和水力传导率进行其他修改才能表示更大范围的风暴强度。

著录项

  • 作者

    Sheppard Brian Scott;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 en_US
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