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首页> 外文期刊>Journal of the American Water Resources Association >EVALUATING HSPF IN AN ARID, URBANIZED WATERSHED
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EVALUATING HSPF IN AN ARID, URBANIZED WATERSHED

机译:在干旱,城市化流域评估HSPF

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摘要

The Hydrologic Simulation Program-FORTRAN (HSPF) is a powerful time variable hydrologic model that has rarely been applied in arid environments. Here, the performance of HSPF in southern California was assessed, testing its ability to predict annual volume, daily average flow, and hourly flow. The model was parameterized with eight land use categories and physical watershed characteristics. It was calibrated using rainfall and measured flow over a five-year period in a predominantly undeveloped watershed and it was validated using a subsequent 4-year period. The process was repeated in a separate, predominantly urbanized watershed over the same time span. Annual volume predictions correlated well with measured flow in both the undeveloped and developed watersheds. Daily flow predictions correlated well with measured flow following rain events, but predictions were poor during extended dry weather periods in the developed watershed. This modeling difficulty during dry-weather periods reflects the large influence of, and the poor accounting in the model for, artificially introduced water from human activities, such as landscape overwatering, that can be important sources of water in urbanized arid environments. Hourly flow predictions mistimed peak flows, reflecting spatial and temporal heterogeneity of rainfall within the watershed. Model correlation increased considerably when predictions were averaged over longer time periods, reaching an asymptote after an 11-hour averaging window.
机译:FORTRAN水文模拟程序(HSPF)是功能强大的时变水文模型,很少在干旱环境中应用。在这里,对HSPF在南加州的表现进行了评估,测试了其预测年流量,日平均流量和小时流量的能力。该模型参数化了八种土地利用类别和自然流域特征。在一个主要未开发的流域,使用降雨对其进行了校准,并在五年期间测量了流量,并在随后的四年中对其进行了验证。在同一时间段内,在一个单独的,主要为城市化的分水岭中重复该过程。在未开发流域和已开发流域中,年度流量预测与实测流量具有很好的相关性。降雨后的每日流量预测与实测流量具有很好的相关性,但在发达流域,长期干旱天气期间的预测很差。干旱天气期间的建模困难反映了模型中人工活动产生的人类活动产生的水的巨大影响,并且模型中的计算不充分,例如景观过度灌溉,这可能是城市化干旱环境中的重要水源。每小时流量的预测错了高峰流量,反映了流域内降雨的时空异质性。当在更长的时间段内对预测进行平均时,模型相关性显着增加,在11小时的平均窗口后达到渐近线。

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