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使用合成降水时间序列对气候变化对合流制污水溢流的影响进行建模。

Modeling climate change impacts on combined sewer overflow using synthetic precipitation time series.

机构信息

Institute for Sanitary Engineering, Water Quality and Solid Waste Management, University of Stuttgart, Bandtaele 2, 70569 Stuttgart, Germany.

出版信息

Water Sci Technol. 2013;68(1):160-6. doi: 10.2166/wst.2013.236.

Abstract

In the presented study climate change impacts on combined sewer overflows (CSOs) in Baden-Wuerttemberg, Southern Germany, were assessed based on continuous long-term rainfall-runoff simulations. As input data, synthetic rainfall time series were used. The applied precipitation generator NiedSim-Klima accounts for climate change effects on precipitation patterns. Time series for the past (1961-1990) and future (2041-2050) were generated for various locations. Comparing the simulated CSO activity of both periods we observe significantly higher overflow frequencies for the future. Changes in overflow volume and overflow duration depend on the type of overflow structure. Both values will increase at simple CSO structures that merely divide the flow, whereas they will decrease when the CSO structure is combined with a storage tank. However, there is a wide variation between the results of different precipitation time series (representative for different locations).

摘要

在本研究中,基于连续的长期降雨-径流模拟,评估了德国巴登-符腾堡州(Baden-Württemberg)合流污水溢流(CSO)受气候变化的影响。作为输入数据,使用了合成降雨时间序列。应用的降水生成器 NiedSim-Klima 考虑了气候变化对降水模式的影响。为不同地点生成了过去(1961-1990 年)和未来(2041-2050 年)的时间序列。比较两个时期的模拟 CSO 活动,我们发现未来的溢流频率明显更高。溢流体积和溢流持续时间的变化取决于溢流结构的类型。在仅分流流量的简单 CSO 结构中,这两个值会增加,而当 CSO 结构与储水池结合时,这两个值会减少。然而,不同降水时间序列(代表不同地点)的结果存在很大差异。

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