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Modeling Pollutant Buildup and Washoff Parameters for SWMM Based on Land Use in a Semiarid Urban Watershed

机译:基于半干旱城市流域土地利用的SWMM污染物累积与冲刷参数建模。

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SWMM (Storm Water Management Model) has been widely used in urban water resources management. Despite its popularity, no commonly accepted pollutant buildup and washoff parameters are available for urban areas in semi-arid or arid climate, which covers 30% of global land area and is sustaining fast growth. This study provides a method to determine these parameters using inverse modeling and apply it in a semi-arid Texan urban watershed. Because GIS land use data is not available for early 1980s, it was determined from aerial photography from 1984 to 2006, and GIS land use data from 2006. Calibration using Shuffled Complex Evolution - University of Arizona (SCEUA) was used for hydraulic parameters followed by pollutant parameters. Confidence intervals of pollutant parameters were calculated by GLD (Generalized Lambda Distribution). Buildup parameters are clustered in narrow numerical ranges, indicating that spatially uniform factors are responsible for pollutant buildup. Washoff parameters do not cluster and are distributed more evenly, indicating strong influence of local factors such as topography. The results also imply that the commonly used parameter values need major revision.
机译:SWMM(暴雨水管理模型)已广泛用于城市水资源管理中。尽管受到广泛欢迎,但半干旱或干旱气候下的城市地区尚无公认的污染物积累和清除参数,该地区占全球土地面积的30%,并且正在保持快速增长。这项研究提供了一种使用逆模型确定这些参数并将其应用于半干旱德克萨斯州城市流域的方法。由于GIS土地使用数据无法获得1980年代初的数据,因此它是根据1984年至2006年的航空摄影数据以及2006年以来的GIS土地使用数据确定的。使用洗牌的复杂演化-亚利桑那大学(SCEUA)进行水力参数校准,然后使用污染物参数。污染物参数的置信区间通过GLD(广义Lambda分布)计算。堆积参数聚集在狭窄的数值范围内,表明空间均匀因素是造成污染物堆积的原因。冲刷参数不会聚类,分布更均匀,表明局部因素(例如地形)的影响很大。结果还暗示,常用参数值需要进行重大修改。

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