Use of multiple regression analysis for predicting trihalomethane formation in water supply
IR@NEERI: National Environment Engineering Research Institute
View Archive Info| Field | Value | |
| Title |
Use of multiple regression analysis for predicting trihalomethane formation in water supply
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| Creator |
Thacker, N P
Rudra, A Adhya, S Gupta, A K |
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| Subject |
Water Quality
Water Treatment |
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| Description |
Trihalomethanes represent between 5 & 20% of the total chlorinated products formed during the chlorination process in water treatment. Trihalomethanes are carcinogenic in nature and consequently their presence in drinking water has raised much concern both at national and international levels. The water quality data was collecte for Mumbai water supply for the concentrations of individual species of Trihalomethanes, chloroform, bromodichloromethan and bromoform in finished water at the outlet of treatment process and master balancing reservoir. A multiple regrassion model for chloroform formation with respect to pH, turbidity and total organic carbon was generated for predicting trihalomethane in the finished water at the outlet before laving the treatment plant for the consumers using the data of Panjrapur, Bhandup, Tulsiand and Verar treatment plants. In general this model was found to give acceptable fits.
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| Date |
2006
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://neeri.csircentral.net/61/1/Thacker1.pdf
Thacker, N P and Rudra, A and Adhya, S and Gupta, A K (2006) Use of multiple regression analysis for predicting trihalomethane formation in water supply. Asian Journal of Chemistry, 18 (4). pp. 2883-2889. |
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| Relation |
http://neeri.csircentral.net/61/
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