M. Heydari, A. Abbasi, Seyed Mohammad Rohani, S. Hosseini
{"title":"Correlation Study and Regression Analysis of Drinking Water Quality in Kashan City, Iran","authors":"M. Heydari, A. Abbasi, Seyed Mohammad Rohani, S. Hosseini","doi":"10.2004/WJST.V10I3.338","DOIUrl":null,"url":null,"abstract":"Chemical and statistical regression analysis on drinking water samples at five fields (21 sampling wells) with hot and dry climate in Kashan city, central Iran was carried out. Samples were collected during October 2006 to May 2007 (25 - 30 °C). Comparing the results with drinking water quality standards issued by World Health Organization (WHO), it is found that some of the water samples are not potable. Hydrochemical facies using a Piper diagram indicate that in most parts of the city, the chemical character of water is dominated by NaCl. All samples showed sulfate and sodium ion higher and K + and F - content lower than the permissible limit. A strongly positive correlation is observed between TDS and EC (R = 0.995) and Ca 2+ and TH (R = 0.948). The results showed that regression relations have the same correlation coefficients: (I) pH -TH, EC -TH (R = 0.520), (II) NO 3 - -pH, TH-pH (R = 0.520), (III) Ca 2+ -SO 4 2- , TH-SO 4 2- , Cl - -SO 4 2- (R = 0.630). The results revealed that systematic calculations of correlation coefficients between water parameters and regression analysis provide a useful means for rapid monitoring of water quality.","PeriodicalId":38275,"journal":{"name":"Walailak Journal of Science and Technology","volume":"10 1","pages":"315-324"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"42","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Walailak Journal of Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2004/WJST.V10I3.338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 42
Abstract
Chemical and statistical regression analysis on drinking water samples at five fields (21 sampling wells) with hot and dry climate in Kashan city, central Iran was carried out. Samples were collected during October 2006 to May 2007 (25 - 30 °C). Comparing the results with drinking water quality standards issued by World Health Organization (WHO), it is found that some of the water samples are not potable. Hydrochemical facies using a Piper diagram indicate that in most parts of the city, the chemical character of water is dominated by NaCl. All samples showed sulfate and sodium ion higher and K + and F - content lower than the permissible limit. A strongly positive correlation is observed between TDS and EC (R = 0.995) and Ca 2+ and TH (R = 0.948). The results showed that regression relations have the same correlation coefficients: (I) pH -TH, EC -TH (R = 0.520), (II) NO 3 - -pH, TH-pH (R = 0.520), (III) Ca 2+ -SO 4 2- , TH-SO 4 2- , Cl - -SO 4 2- (R = 0.630). The results revealed that systematic calculations of correlation coefficients between water parameters and regression analysis provide a useful means for rapid monitoring of water quality.
期刊介绍:
The Walailak Journal of Science and Technology (Walailak J. Sci. & Tech. or WJST), is a peer-reviewed journal covering all areas of science and technology, launched in 2004. It is published 12 Issues (Monthly) by the Institute of Research and Innovation of Walailak University. The scope of the journal includes the following areas of research : - Natural Sciences: Biochemistry, Chemical Engineering, Chemistry, Materials Science, Mathematics, Molecular Biology, Physics and Astronomy. -Life Sciences: Allied Health Sciences, Biomedical Sciences, Dentistry, Genetics, Immunology and Microbiology, Medicine, Neuroscience, Nursing, Pharmaceutics, Psychology, Public Health, Tropical Medicine, Veterinary. -Applied Sciences: Agricultural, Aquaculture, Biotechnology, Computer Science, Cybernetics, Earth and Planetary, Energy, Engineering, Environmental, Food Science, Information Technology, Meat Science, Nanotechnology, Plant Sciences, Systemics