Using GIS in evaluating the quality of drinking water
New approach for implementing advanced GIS algorithms
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The approach of this book is to promote an understanding of surface water quality, including the hazards that can compromise water quality and develops effective measures to assess and manage risks arising from those hazards using spatial and statistical models. Evaluation of 42 drinking water quality parameters has been done on a monthly basis during 6 years. Applying a GIS tool will provide visual impacts for various hazards using WQI, which has formed a series of prediction maps for risk assessment. The results showed that surface water is remarkably influenced by wastewater discharge, espe...
The approach of this book is to promote an understanding of surface water quality, including the hazards that can compromise water quality and develops effective measures to assess and manage risks arising from those hazards using spatial and statistical models. Evaluation of 42 drinking water quality parameters has been done on a monthly basis during 6 years. Applying a GIS tool will provide visual impacts for various hazards using WQI, which has formed a series of prediction maps for risk assessment. The results showed that surface water is remarkably influenced by wastewater discharge, especially at drought period. Prediction model proved a practical and economical value that gives an easier and effective solution through selecting the best decisions to enhance water quality, assurance of public health protection can be gained and providing a comprehensive preventive strategy for drinking water system management can be achieved. The book is written for post-graduates, researchers and professionals involved in water quality monitoring and assessment of surface waters and want to improve the scope and reliability of their systems with using water dynamic prediction models
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