Patel N. N.
Sardar Vallavbhai National Insitute of Technology, India
Title: A Fuzzy Approach Towards Determination of Water Quality Index.
Biography
Biography: Patel N. N.
Abstract
River plays a very vital role in social, cultural and economical development of any region. It has been seen that establishment of population starts from river side. The developments ultimately results to generate large amount of waste. The river is one of the acceptors to discharge any kind of waste; and hence gets polluted.These practices may result in increased contaminations in river water. The rivers flowing are getting polluted due to humans activities, industries. The water quality generally defined as its fitness for the beneficial uses for drinking by people & animals, for support of aquatic life, irrigation of land and for recreation This process starts from surveys and systematic study of river basins, characterization of contaminants, analyzing water parameters and finalizing action plan etc. Characterization of river water includes determination of temperature, Total Dissolved Solids (TDS), Suspended Solids (SS), Biological and Chemical Oxygen Demand (BOD and COD), Oil and Grease, pH and Chlorides etc. According to collected database it is essential to set stations in river stretch for the purpose of intake structures, treated wastewater discharge points, bathing points, fishing points etc. As no of parameters influence the site selection process it is difficult to justify the suitability if site. A water quality index provides a single number (like a grade) that expresses overall water quality at a certain location and time based on several water quality parameters. The objective of an index is to turn complex water quality data into information that is understandable and useable by the public. Fuzzy logic has based on fuzzy set theory. It is a complex mathematical method that allows solving difficult simulated problems with many inputs and output variables. In Environmental Engineering it is difficult to judge the severity of pollution by layman. A present paper focus on the determination of river water quality index by using Fuzzy Logic systems to identify the site suitability for various utilities.