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Assessing the potential of using telecommunication microwave links in urban drainage modelling

机译:评估在城市排水模型中使用电信微波链路的潜力

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The ability to predict the runoff response of an urban catchment to rainfall is crucial for managing drainage systems effectively and controlling discharges from urban areas. In this paper we assess the potential of commercial microwave links (MWL) to capture the spatio-temporal rainfall dynamics and thus improve urban rainfall-runoff modelling. Specifically, we perform numerical experiments with virtual rainfall fields and compare the results of MWL rainfall reconstructions to those of rain gauge (RG) observations. In a case study, we are able to show that MWL networks in urban areas are sufficiently dense to provide good information on spatio-temporal rainfall variability and can thus considerably improve pipe flow prediction, even in small subcatchments. In addition, the better spatial coverage also improves the control of discharges from urban areas. This is especially beneficial for heavy rainfall, which usually has a high spatial variability that cannot be accurately captured by RG point measurements.
机译:预测城市集水区对降雨的径流响应的能力对于有效管理排水系统和控制城市地区的排放至关重要。在本文中,我们评估了商业微波链路(MWL)捕获时空降雨动态并因此改善城市降雨径流模型的潜力。具体来说,我们使用虚拟降雨场进行数值实验,并将MWL降雨重建的结果与雨量计(RG)观测的结果进行比较。在一个案例研究中,我们能够证明城市地区的MWL网络足够密集,可以提供有关时空降雨变化的良好信息,因此即使在小集水区,也可以显着改善管道流量的预测。另外,更好的空间覆盖范围还改善了对城市地区排放的控制。这对于暴雨尤其有利,因为暴雨通常具有很大的空间变异性,而RG点测量无法准确捕获。

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