Title: MODELLING TO MANAGE URBANSTORM WATER RUNOFF OF MNIT CAMPUS
Abstract: In recent times, hydrological effect study of urban development has started gaining attention. Urban streams shows drastic change to their natural flow regime, main reason being the augmented rate and volume of runoff. Traditional storm water management concentrate in controlling peak rate by utilizing detention and retention basin, while concentrating less on increased volume of urban runoff. The MNIT campus located at Jaipur, Rajasthan is suffering from urban runoff problem from considerable time. After rain day, the majority of rain water fails to percolate into the soil and is converted to urban runoff. In this investigation paper study, modeling of the site is done using Storm Water Management Model (v.5.0) to analyze the urban runoff generated by various subcatchments present within the building. After knowing subcatchment that is producing highest runoff, an attempt was made to hydrologically restore the site. This was done by using Low Impact Development. Low Impact Development also known as LID’s a land planning with aim to restrict the runoff close to its source as much as possible. The Low Impact Developments utilizes the natural processes like infiltration to decrease the volume and rate of runoff and also enhancing water quality. Various types of LID’s were installed to find the most suitable. The amounts of LID’s were increased till water balance and peak flow rate were met, done via simulation. The modeled LID BMP’s include grass swale, Infiltration trenches, rain garden, and permeable pavements. However, no cost estimation was done of the installed LID design to explore the financial practicality. The result showed that the site can be recovered hydrologically, however since no cost study was carried out; they may or may not prove to be cost effective. In the study it was also found that the installed drainage systems are not properly maintained and hence suitable suggestions were made to restore and improve the drainage system.
Publication Year: 2017
Publication Date: 2017-12-01
Language: en
Type: article
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