A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Statistical Model for Predicting Chloroform Levels in Chlorinated Surface Water Supplies
Multiple regression analysis of a number of routinely measured characteristics—temperature, turbidity, color, pH, free residual chlorine, total residual chlorine, and chloroform—of the raw water, finished plant water, and distribution system water of nineteen Massachusetts communities showed chlorine dosage to be the most reliable predictor of chloroform levels in the water supply.
A Statistical Model for Predicting Chloroform Levels in Chlorinated Surface Water Supplies
Multiple regression analysis of a number of routinely measured characteristics—temperature, turbidity, color, pH, free residual chlorine, total residual chlorine, and chloroform—of the raw water, finished plant water, and distribution system water of nineteen Massachusetts communities showed chlorine dosage to be the most reliable predictor of chloroform levels in the water supply.
A Statistical Model for Predicting Chloroform Levels in Chlorinated Surface Water Supplies
Moore, Gary S. (author) / Tuthill, Robert W. (author) / Polakoff, David W. (author)
Journal ‐ American Water Works Association ; 71 ; 37-39
1979-01-01
3 pages
Article (Journal)
Electronic Resource
English
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