The aim of this proposal is to put in place suitable systems, for ensuring appropriate technology and cost effective measurement of industrial effluents. This research would be carried out within a selected plant. To begin with, the existing systems would be examined…
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The next phase would essentially be one of optimization. Various information obtained, would be examined for their correlation, conflict and proper matching. Finally, the resulting set of solutions would ensure systems and procedures - for putting in place safe, dependable and lasting measurement techniques. Additionally, proper instruments would be selected for the given plant. These solutions would facilitate a broader research, in future.
Industrial effluents are a major source of water contamination all over the world. In USA, stringent laws to control effluent discharge from industries are in place. Even then, the pollution levels of various water bodies are unsatisfactory. The National Water Quality Inventory: Report to Congress for the 2002 Reporting Cycle, mentions that of the total assessed miles 45% of streams, 47% of lakes and 32% of bays and estuarine square miles were not clean enough for supporting fishing and swimming. The report goes on to conclude that “excess levels of nutrients, metals (primarily mercury), sediment and organic enrichment” were leading causes of pollution and that industry is a top source of contaminants. If anything, one may expect more stringent measures from the regulatory bodies, in the years to come. With this background in mind, all concerned would be compelled to search for more and more technology and cost effective methods, for controlling effluent discharges. A very important component of the control mechanism is measurement. As such concentrated research, on methods and instruments of measurement, is imperative. It is proposed that the 10 week period would be devoted to research for developing improved practices for data collection & analysis as also identification of proper measuring instruments, to solve the problem of a particular plant. The findings then may be tried out in other plants, to establish their universal applicability – though that would be in the scope of a much broader study
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