首页> 外文会议>IASTED International Conference on Modelling and Simulation >PREDICTION OF ENVIRONMENTAL FLOW TO IMPROVE THE WATER QUALITY IN THE RIVER BURIGANGA
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PREDICTION OF ENVIRONMENTAL FLOW TO IMPROVE THE WATER QUALITY IN THE RIVER BURIGANGA

机译:预测环境流量,提高河里岗河水质量

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Natural and human activities driven changes in the Buriganga river and the rivers around Dhaka city have in the dry seasons of the last decades caused a complete deterioration of water quality. The river Buriganga is increasingly being polluted with the city's thousands of industrial units and sewerage lines dumping huge volumes of toxic wastes into it day and night. A very detailed investigation comprising of state-of-the art mathematical water quality modelling of the Buriganga river system around the Dhaka city has been carried out for understanding the hydraulic and water quality processes responsible for such deterioration and the deterioration of the river offtaking from the Jamuna. This paper deals with the successful updating and application of the 1D hydrodynamic (HD) and water quality (WQ) models with rational data analysis to find out the optimum benefit for improving overall navigability and the water quality. It also deals with the some key applications of the model results to analyse the projected scenario up to year 2020 thereby supports the selection of the preferred environmental flow.
机译:自然和人类活动在Buriganga River的变化和达卡市周围的河流在过去几十年中的干旱季节引起了水质的完全恶化。 Buriganga河越来越多地随着城市的数千个工业单位和污水线倾倒巨大的毒性废物,越来越污染。通过达卡市周围的Buriganga河流系统的最先进的数学水质建模,了解了达卡市的最先进的数学水质建模,以了解负责这种恶化的液压和水质流程和河流从中剥离的河流恶化朱村。本文涉及1D流体动力学(HD)和水质(WQ)模型的成功更新和应用,具有合理的数据分析,以了解改善整体导航性和水质的最佳效益。它还处理模型结果的一些关键应用,以分析预计的情况到2020年,从而支持优选的环境流量的选择。

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