• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Hydrology >Sensitivity of urban flood simulations to stormwater infrastructure and soil infiltration
【24h】

Sensitivity of urban flood simulations to stormwater infrastructure and soil infiltration

机译：城市洪水模拟对雨水基础设施和土壤渗透的敏感性

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Flooding from intense rainfall is a major hazard in many urban areas. One of the major challenges in urban flood simulations is lack of data about the location and properties of stormwater infrastructure and land cover. In this paper, we investigate the sensitivity of urban flood simulations to inputs of stormwater infrastructure and soil characteristics. We use a 2D hydrodynamic model (MIKE URBAN) to simulate flood events on the University of Alabama (UA) campus in Tuscaloosa U.S.A. Infiltration rate, soil moisture, and soil texture were measured in the field. Soil texture was found to be homogeneous across campus (sandy loam) but with a high degree of spatial and temporal variation in infiltration rate and soil moisture. Comparison between different storm event return periods (10, 25, 50, and 100 years) shows that the same flooding hotspots are persistent but with considerable variation in water depth and flood extent. To investigate the sensitivity of the simulations to stormwater infrastructure, simulations without the stormwater infrastructure input were conducted. The results show that stormwater infrastructure decreases flooding volume of RP 10, 25, 50, and 100 by factors of 20, 14, 12, and 8, respectively. This shows that urban flood simulation is highly sensitive to the inclusion of stormwater infrastructure, though with decreasing relative impact for larger events. To investigate the sensitivity of the simulations to soil characteristics, four land-cover simulations (actual, uniform, entirely pervious, entirely impervious) were compared. The results show flood simulation predictions are sensitive to both the value and spatial explicitness of the soil input data. We discuss challenges in urban flood simulation and their potential solutions in the context of emerging frameworks for national and global hyper-resolution flood forecasting and analysis.
机译：从强烈降雨中洪水是许多城市地区的重大危险。城市洪水模拟中的主要挑战之一是关于雨水基础设施和陆地覆盖的位置和性质的数据。在本文中，我们研究了城市洪水模拟对雨水基础设施和土壤特征的影响的敏感性。我们使用2D流体动力学模型（Mike Urban）在托斯卡洛瓦斯大学（UA）校园大学的洪水事件在Tuscaloosa U.a.渗透率，土壤水分和土壤纹理在该领域。发现土壤纹理在校园（桑迪壤土）均匀，但具有高度的空间和时间变化，渗透率和土壤水分。不同的风暴事件返回期（10,25,50和100年之间的比较表明，相同的洪水热点是持续的，但在水深和泛滥程度上具有相当大的变化。为了研究模拟对雨水基础设施的敏感性，还进行了没有雨水基础设施输入的模拟。结果表明，雨水基础设施分别减少了20,12,12和8的因素的RP 10,25,50和100的洪水量。这表明城市洪水模拟对包含雨水基础设施的含义非常敏感，但对更大事件的相对影响降低。为了研究模拟对土壤特性的敏感性，比较了四种陆地覆盖模拟（实际，均匀，完全透过的完全不透水）。结果显示洪水仿真预测对土壤输入数据的价值和空间显式性敏感。我们在国家和全球超分辨率洪水预测和分析的新兴框架背景下讨论城市洪水模拟及其潜在解决方案的挑战。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号