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Commonality of rainfall variables influencing suspended solids concentrations in storm runoff from three different urban impervious surfaces

机译:影响三种不同城市不透水面暴雨径流中悬浮物浓度的降雨变量的共性

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Finding a common set of rainfall variables to explain the concentration of suspended solids in runoff from typical urban impervious surfaces has many applications in stormwater planning. This paper describes a statistical process to identify key explanatory variables to non-coarse particle (suspended solids < 500 μm size) event mean concentrations measured from road, carpark and roof surfaces located in Toowoomba, Australia. The dominant variables for all surfaces were rainfall depth and peak 6-min rainfall intensity. Storm duration, defined as the time period when rainfall intensity exceeds 0.25 mm/h and antecedent storm rainfall were also important predictors, but was less dominant. The regression model fitted to non-coarse particle concentration across all surfaces was proportional to rainfall depth raised to a negative power and peak 6-min rainfall intensity raised to a positive power; the proportionality constant varies by surface type. The form of this common model has a physical basis and is analogous to the modified universal soil loss equation widely used for soil loss estimation for non-urban areas.
机译:寻找一套常见的降雨变量来解释典型城市不透水面径流中悬浮物的浓度在雨水规划中有许多应用。本文介绍了一种统计过程,用于确定从澳大利亚Toowoomba的道路,停车场和屋顶表面测量的非粗颗粒(悬浮固体<500μm大小)事件平均浓度的关键解释变量。所有表面的主要变量是降雨深度和6分钟峰值降雨强度。暴风雨持续时间(定义为降雨强度超过0.25 mm / h的时间段)和暴风雨前的降雨也是重要的预测指标,但主导程度较低。拟合所有表面上的粗颗粒浓度的回归模型与降雨深度增加到负功率成正比,峰值6分钟降雨强度增加到正功率成正比;比例常数随表面类型而变化。该通用模型的形式具有物理基础,类似于广泛用于非城市地区土壤损失估算的改良通用土壤损失方程。

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