{"title":"恒河不同水质参数的多元分析","authors":"","doi":"10.46243/jst.2020.v5.i4.pp268-275","DOIUrl":null,"url":null,"abstract":": This Study Statistically analyzes the deteriorating water quality of the River Ganga. Statistical techniques\nsuch as Water Quality index (WQI), Cluster Analysis, Best Subsets Regression and Multiple Regression Analysis\nwere applied to seven water quality parameters, collected from 21 sampling Stations in India. Water Quality Index\nidentified the most polluted stations that are Kadaghat, Allahabad, Khurgi, Patna U/S, Bihar, Varanasi D/S\n(Malviya Bridge), U.P, Indrapuri, Dehri and Varanasi U/S (ASSIGHAT), U.P. Cluster Analysis for the different\nStations showed a similarity of 99.99% between the stations Ganga D/S, Mirzapur , Varanasi D/S (Malviya Bridge)\nand Varanasi U/S (Assighat), U.P. Cluster Analysis for variables showed a 98.96% similarity of parameter BOD\nwith WQI and 96.06% similarity between the parameters Total Coliform and Fecal Coliform. After applied the Best\nSubset Regression Analysis we get the highest Mallow c-p value with high R2 for the parameters BOD, Nitrate, Total\nColiform and Fecal Coliform. In the Regression analysis the p value for the estimated coefficients of BOD is 0.00,\nindicates that BOD is significantly related to WQI.In this paper we conclude that BOD is the most critical\nparameter and we study the comparison of water quality of river Ganga for different stations.","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"42 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Different Water Quality Parameters of Ganga River by\\nMultivariate Tools\",\"authors\":\"\",\"doi\":\"10.46243/jst.2020.v5.i4.pp268-275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": This Study Statistically analyzes the deteriorating water quality of the River Ganga. Statistical techniques\\nsuch as Water Quality index (WQI), Cluster Analysis, Best Subsets Regression and Multiple Regression Analysis\\nwere applied to seven water quality parameters, collected from 21 sampling Stations in India. Water Quality Index\\nidentified the most polluted stations that are Kadaghat, Allahabad, Khurgi, Patna U/S, Bihar, Varanasi D/S\\n(Malviya Bridge), U.P, Indrapuri, Dehri and Varanasi U/S (ASSIGHAT), U.P. Cluster Analysis for the different\\nStations showed a similarity of 99.99% between the stations Ganga D/S, Mirzapur , Varanasi D/S (Malviya Bridge)\\nand Varanasi U/S (Assighat), U.P. Cluster Analysis for variables showed a 98.96% similarity of parameter BOD\\nwith WQI and 96.06% similarity between the parameters Total Coliform and Fecal Coliform. After applied the Best\\nSubset Regression Analysis we get the highest Mallow c-p value with high R2 for the parameters BOD, Nitrate, Total\\nColiform and Fecal Coliform. In the Regression analysis the p value for the estimated coefficients of BOD is 0.00,\\nindicates that BOD is significantly related to WQI.In this paper we conclude that BOD is the most critical\\nparameter and we study the comparison of water quality of river Ganga for different stations.\",\"PeriodicalId\":23534,\"journal\":{\"name\":\"Volume 5, Issue 4\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 5, Issue 4\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46243/jst.2020.v5.i4.pp268-275\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 5, Issue 4","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46243/jst.2020.v5.i4.pp268-275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Different Water Quality Parameters of Ganga River by
Multivariate Tools
: This Study Statistically analyzes the deteriorating water quality of the River Ganga. Statistical techniques
such as Water Quality index (WQI), Cluster Analysis, Best Subsets Regression and Multiple Regression Analysis
were applied to seven water quality parameters, collected from 21 sampling Stations in India. Water Quality Index
identified the most polluted stations that are Kadaghat, Allahabad, Khurgi, Patna U/S, Bihar, Varanasi D/S
(Malviya Bridge), U.P, Indrapuri, Dehri and Varanasi U/S (ASSIGHAT), U.P. Cluster Analysis for the different
Stations showed a similarity of 99.99% between the stations Ganga D/S, Mirzapur , Varanasi D/S (Malviya Bridge)
and Varanasi U/S (Assighat), U.P. Cluster Analysis for variables showed a 98.96% similarity of parameter BOD
with WQI and 96.06% similarity between the parameters Total Coliform and Fecal Coliform. After applied the Best
Subset Regression Analysis we get the highest Mallow c-p value with high R2 for the parameters BOD, Nitrate, Total
Coliform and Fecal Coliform. In the Regression analysis the p value for the estimated coefficients of BOD is 0.00,
indicates that BOD is significantly related to WQI.In this paper we conclude that BOD is the most critical
parameter and we study the comparison of water quality of river Ganga for different stations.