2020 Volume 26 Pages 65-70
Pluvial flooding has not been sufficiently characterized owing to the lack of real quantitative data and accessible simulation tools although it has become a critical concerns in lowland urban areas. The present study proposes the effective sensing and modeling of inland flooding processes in lowland cities with drainage systems. First, we develop an estimation method for local inland flooding processes in urban areas using water depth loggers and a digital elevation model, both of which are cost-effective and do not require the latest technology. The logged observation data in storm water drainage systems combined with highresolution altitude distributions can help track the inland drainage process. We examine the effect of drainage channels in mitigating inland flooding by employing the open source, free computational modeling tool NILIM 2.0. Further, we discuss the accuracy of the model by comparing actual flooding data with spatiotemporal data collected using the new method.
