Effects of Different Storm Flow Simulation Models on Surface Runoff and Storm Sewer Hydraulics in Urban Areas

• Main Authors: Ping-Yi Su, 蘇秉毅
• Other Authors: Tsang-Jung Chang
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/58083382935152853531

碩士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 103 === In recent years, the temperature has been rising due to climate change and rapid development of urban cities. Heavy rainfall often cause severe damages to lives and properties due to the increase of impervious areas and buildings which leads to a difficult discharge of rainwater; however, by constructing rainwater sewer systems in urban areas, we can avoid such flooding situations; therefore, we can evaluate different flooding situations by using simulation models and thus be prepared for disasters and reduce losses. Researchers around the world have developed many kinds of methods and models to deal with urban inundation, and in this study, I will use three different rainwater collection system models to evaluate the impacts of short duration rainfall events on surface flooding areas and sewer water levels. Surface flooding areas will be evaluated by “Accuracy” and “Probability of detection(POD)”; simulated sewer water levels will be compared to the measured datas. The three models include: the storm sewer systems model combining with two-dimensional overland flow model by using separated algorithm (model A), the storm sewer systems model combining with two-dimensional overland flow model by using half-interactive algorithm (model B), the storm sewer systems model combining with two-dimensional overland flow model by using interactive algorithm (model C). In this study, the Shuang-wuang drainage system is selected as the study area, which spans the Wanhua District , Zhongzheng District and Da-an District. Rainfall events in August 12, 2009 and August 12, 2012, are selected for the simulation. In terms of surface flooding, model C has the best results, with an accuracy above 99 % and POD above 60% ; while in sewer water levels , model A and B are overestimated compared to measured datas. Model C is a bit underestimated but has the closest results.