ARTIFICIAL INTELLIGENCE-BASED ASSESSMENT OF WATER RESOURCES IN VIEW OF CLIMATE CHANGE & POPULATION GROWTH: A CASE STUDY OF THE YAMUNA RIVER IN AGRA, U.P., INDIA
Abstract : Artificial intelligence (AI) has been broadly used in various disciplines, including engineering, medicine, computer science, robotics, economics, business, psychology etc. According to the literature of several studies have shown the application of artificial intelligence in modelling approaches yields results that are comparable to those produced from real-world data when solving linear, nonlinear, or other systems. As specified in the local master plan, the Yamuna River water basin in North India will be evaluated for quality and quantity in terms of several future scenarios, such as increased population, industrial growth, various construction activities including construction of new wastewater treatment facilities, by 2030. The results of the study are then compared to the impact of climate change on the quality and amount of water available for consumption. To measure river pollution, the three essential aquatic ecosystem health indices of Dissolved oxygen (DO), chemical oxygen demand (COD) and biochemical oxygen demand (BOD) were simulated. The present state-of-the-art and advancements in artificial intelligence modelling of water variables, including rainfall-runoff, evaporation and evapotranspiration, streamflow, sediment, and water quality factors, will be discussed. Furthermore, the study has suggested several potential future research avenues as well as some modelling recommendations for the variables affecting the water. Compared to the climatic change impact, the impact of human population growth is significantly greater. Because untreated pollutants from upstream were conveyed in the water, the environment downstream of the study region was generally poorer than the environment above (plus those from nearby). This discovery will be useful to policymakers and stakeholders in the water business as they develop long-term, adaptive strategies for the water industry. Developing a nationwide sewerage and septage management programme, and ensuring that it is practicable, should be a top priority for any prospective governmental action. Thus, the Sustainable Development Goals will have a better chance of being achieved.
Cite : Gupta, N., Mishra, P., Gupta, P., Singh, M., Tiwari, D., Yadav, A., & Gupta, V. (2024). Artificial Intelligence-Based Assessment Of Water Resources In View Of Climate Change & Population Growth: A Case Study Of The Yamuna River In Agra, U.P., India (1st ed., pp. 47-64). Noble Science Press. https://doi.org/10.52458/9788197112492.nsp.2024.eb.ch-06
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