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Impacts of combined sewer overflows on a large urban river - Understanding the effect of different management strategies

机译:下水道合并溢流对一条大型城市河流的影响-了解不同管理策略的影响

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To support decision makers in planning effective combined sewer overflow (CSO) management strategies an integrated modelling and impact assessment approach has been developed and applied for a large urban area in Berlin, Germany. It consists of an urban drainage model, a river water quality model and a tool for the quantification of adverse dissolved oxygen (DO) conditions in the river, one of the main stressors for urban lowland rivers. The coupled model was calibrated successfully with average Nash-Sutcliffe-efficiencies for DO in the river of 0.61 and 0.70 for two validation years. Moreover, the whole range of observed DO concentrations after CSO down to 0 mg L-1 is simulated by the model. A local sensitivity analysis revealed that in the absence of CSO dissolved oxygen principally depends on phytoplankton dynamics. Regarding CSO impacts, it was shown that 97% of the observed DO deficit can be explained by the three processes (i) mixing of river water with CSO spill water poor in DO, (ii) reduced phytoplankton activity due to CSO-induced turbidity and (iii) degradation of organic matter by heterotrophic bacteria. As expected, process (iii) turned out to be the most important one. However depending on the time lag after CSO the other processes can become dominant. Given the different involved processes, we found that different mitigation schemes tested in a scenario analysis can reduce the occurrence of critical DO deficits in the river by 30-70%. Overall, the study demonstrates that integrated sewer-river-models can be set up to represent CSO impacts under complex urban conditions. However, a significant effort in monitoring and modelling is a requisite for achieving reliable results. (C) 2016 Elsevier Ltd. All rights reserved.
机译:为了支持决策者规划有效的下水道合并溢流(CSO)管理策略,已经开发了一种集成的建模和影响评估方法,并将其应用于德国柏林的一个大市区。它由城市排水模型,河流水质模型和量化河流中不良溶解氧(DO)条件的工具组成,这是城市低地河流的主要压力源之一。在两个验证年中,用0.61和0.70的河流中DO的平均Nash-Sutcliffe效率成功地校准了耦合模型。此外,该模型模拟了CSO降至0 mg L-1后观察到的DO浓度的整个范围。局部敏感性分析表明,在不存在CSO的情况下,溶解氧主要取决于浮游植物的动力学。关于CSO的影响,表明可以通过以下三个过程解释观察到的97%的DO不足:(i)将河水与DO贫乏的CSO溢水混合,(ii)由于CSO引起的浊度而使浮游植物活动减少,以及(iii)异养细菌降解有机物。不出所料,过程(iii)成为最重要的过程。但是,根据CSO之后的时滞,其他过程可能会占主导地位。鉴于涉及的过程不同,我们发现在情景分析中测试的不同缓解方案可以使河流中严重的DO赤字减少30-70%。总体而言,该研究表明,可以建立综合的下水道模型,以代表复杂城市条件下民间社会组织的影响。但是,要获得可靠的结果,必须在监视和建模上付出巨大的努力。 (C)2016 Elsevier Ltd.保留所有权利。

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