Reinforcement learning-based real-time control of coastal urban stormwater systems to mitigate flooding and improve water quality
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Abstract:
Reinforcement learning agents can learn real-time stormwater system control strategies that balance the competing goals of flood mitigation and sediment capture in urban watersheds.The present study carried out with the aim of understanding the groundwater quality and its suitability for domestic and irrigation purpose. The quality of water is vital concern for mankind since it is directly linked with human health. Groundwater is highly valued because it constitutes the major drinking and irrigation water source in most of the parts of India. Water quality index for underground drinking water at Amroha for twelve different sites has been calculated with the help of estimated values of water quality physico-chemical parameters and W.H.O. water quality standards. Underground drinking water at ten sites is found to be severely polluted. At a few sites it is moderately polluted and at one site fit for human consumption. People dependent on this water must be facing the health hazards of contaminated drinking water and water quality management is urgently required in the catchment area of study.
Uttar pradesh
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