Fuzzy logic application in water supply system management: A case study

Infrastructure development with focus on water supply system management has assumed significant importance in the recent past in India, and in this endeavour attempts are being made to provide 24 hours continuous safe water supply to the consumers. The important three elements of any water supply system augmentation include: population projection, per capita water needs for full satisfaction and the financial out lay. We address, in this paper, application of fuzzy logic based to project the future water needs. Ever increasing pollution levels due to rapid urbanization and industrialization, especially in developing countries with minimal focus on adequate pollution abatement strategies, result in impairing natural environment such as river, air, land, and alike. Protection of drinking water resources for public water supplies, therefore, assumed vital significance in the context of present times. The practice in vogue of classifying water quality for variety of usage is by computing water quality indices [2]. Why compute a numeric water quality index, and then describe water quality? Why not apply describe water quality, for the defined usage, straightway in linguistic terms with some degree of certainty attached to each linguistic description? In this paper, we present two need based research studies: First case study relates to the estimation of per capita water needs for full satisfaction of the consumers in (Pimpri Chinchwad Municipal Corporation (PCMC — city with a population of 1.8 million) area, India, while the second study refers to fuzzy description of raw water quality near the intake of PCMC war treatment facility.