Hydrospatial Analysis. Enter Quantity :. Price INR : 0. Assessment of groundwater quality is vital for the sustainable use of the resources for domestic and agricultural purposes.
Assessment of Irrigation Water Quality Index for Upper Cauvery Karnataka India
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Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Prediction of water quality index WQI based on artificial neural network ANN Abstract: This paper investigates the effectiveness of artificial neural network models for predicting the water quality index for rivers in Malaysia.
Water is important for drinking, bathing, washing, cooling, and protecting to continue surviving. Rapid development in human activities causes several of water issues and problems especially in river pollution. Sampling area is concentrate along UTM River with setting of seven 7 stations in upstream, middle stream, and downstream river. UTM River proved water quality is in slightly polluted condition due to human activities which cause contamination through concrete waste, chemical waste, garbage and washing wastewater, restaurants, chain stores, gas stations, and so on.
Water quality index WQI is valuable and unique rating to depict the overall water quality status in a single term that is helpful for the selection of appropriate treatment technique to meet the concerned issues. However, WQI depicts the composite influence of different water quality parameters and communicates water quality information to the public and legislative decision makers. In spite of absence of a globally accepted composite index of water quality, some countries have used and are using aggregated water quality data in the development of water quality indices. Attempts have been made to review the WQI criteria for the appropriateness of drinking water sources.