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Hotspot Identification for Urban Flooding in a Satellite Town of National Capital Region of India

机译:印度国家首都辖区卫星城中城市洪水的热点识别

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The rapid urbanization and population explosion have become major issues all around the world. Several satellite towns are developed to accommodate the ever-increasing population of metropolitan cities around the world. Gurugram, a prominent satellite city in the national capital region (NCR) of India is one such city which has faced the problems of urbanization. Urbanization, besides having adverse impacts on hydro-climatic conditions, has led to a rapid increase in the impervious area. This seals the upper soil layers and thus generates excessive surface runoff causing urban floods. The problem of flooding has impacted the public health and the society as well as resulted in economic loss. Keeping this in mind, the present study makes an attempt to identify the hotspots in the city of Gurugram from the urban flooding point of view. The hotspots are identified through the rainfall-runoff modelling using the storm water management model (SWMM) developed by Environmental Protection Agency (EPA). In order to initiate actions for its management, the prioritization of the potential hotspots is suggested through the multiple criteria decision analysis (MCDA) technique of choosing by disadvantage (CBD). Further, it has been noticed that the urban drainage problem gets aggravated due to silting and choking of the Najafgarh and Badshahpur drains which ultimately joins the river Yamuna in northern part of Delhi.
机译:快速的城市化和人口爆炸已成为世界各地的主要问题。已开发了几个卫星城镇,以适应世界各地不断增长的大都市人口。印度国家首都地区(NCR)著名的卫星城市古尔格拉姆(Gurugram)就是其中一个面临城市化问题的城市。城市化除了对水文气候条件产生不利影响外,还导致不透水地区的迅速增加。这密封了上层土壤层,从而产生了过多的地表径流,从而导致了城市洪灾。洪水问题已经影响到公众健康和社会,并造成了经济损失。牢记这一点,本研究试图从城市洪水的角度识别古鲁格姆市的热点地区。使用美国环境保护署(EPA)开发的雨水管理模型(SWMM)通过降雨径流模型确定热点。为了启动对其进行管理的行动,建议通过按劣势选择(CBD)的多准则决策分析(MCDA)技术对潜在热点进行优先级排序。此外,已经注意到由于纳杰富加和巴德沙布尔的排水渠被淤塞和阻塞而加剧了城市排水问题,这些排水渠最终连接了德里北部的亚穆纳河。

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