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Performance of urban storm drainage network under changing climate scenarios: Flood mitigation in Indian coastal city

机译:气候变化情景下城市风暴排水网络的性能:印度沿海城市的防洪减灾

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摘要

Managing storm water under climate uncertainty is a major concern in urban areas throughout the world. There were several floods events recorded in Chennai, a one of the major metropolitan coastal city in India. The flood incidences were repeatedly reported in recent decades. In this study, the existing state of storm water drains are evaluated under current and future climate scenarios in one of the most flood-prone areas of Chennai viz. Velachery zone. The mitigation measures are recommended to increase its resilience against floods. The Intergovernmental Panel on Climate Change (IPCC) CMIP5 models of Representative Concentration Pathways (RCP) 4.5 are used to develop possible future climate change scenarios of the city. The daily rainfall data for the period 1975–2015 obtained from India Meteorological Department are used to find the extremities and to generate Intensity-Duration-Frequency (IDF) curves. The IDF curves are generated for 2, 5, 10, 50, 100 year return period under current and future climate scenarios. The storm drainage network are delineated with Differential Geographic Positioning System (DGPS) survey. The integrated hydraulic and hydrological modelling is carried out to assess the flood carrying capacity of storm drainage under present and future climate scenarios. The vulnerable hotspots are identified and flood mitigation measures are suggested to reduce the flood risk at Velachery.
机译:在气候不确定性下管理雨水是全世界城市地区的主要关注点。印度主要的沿海城市之一金奈(Chennai)发生了几起洪水事件。近几十年来屡屡发生洪灾。在这项研究中,在金奈最易发生洪灾的地区之一,根据当前和未来的气候情景评估了雨水排放的现状。绒布区。建议采取缓解措施以增强其抗洪能力。政府间气候变化专门委员会(IPCC)的CMCC5代表浓度路径(RCP)4.5模型用于开发该城市未来可能的气候变化情景。从印度气象局获得的1975-2015年期间的每日降雨数据可用于查找极端并生成强度-持续时间-频率(IDF)曲线。 IDF曲线是在当前和未来气候情景下针对2、5、10、50、100年回归期生成的。雨水排放网络由差分地理定位系统(DGPS)勘测划定。进行了水文和水文综合建模,以评估当前和未来气候情景下暴雨排水的洪水承载能力。确定脆弱的热点,并建议采取防洪措施以减少Velachery的洪灾风险。

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