恒河不同水质参数的多元分析

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引用次数: 1

摘要

本研究统计分析了恒河不断恶化的水质。统计技术,如水质指数(WQI),聚类分析,最佳子集回归和多元回归分析应用于七个水质参数,从印度的21个采样站收集。水质指数鉴定出污染最严重的站点是卡达加特、阿拉哈巴德、库尔吉、巴特那U/S、比哈尔邦、瓦拉纳西D/S(马尔维雅大桥)、北方邦、因德拉普里、德里和瓦拉纳西U/S (ASSIGHAT),不同站点的聚类分析表明,恒河D/S、米尔扎普尔、瓦拉纳西D/S(马尔维雅大桥)和瓦拉纳西U/S (ASSIGHAT)站点之间的相似性为99.99%。变量的upp聚类分析显示,参数bodd与WQI的相似度为98.96%,参数Total Coliform与Fecal Coliform的相似度为96.06%。应用最佳子集回归分析得到了锦葵c-p值最高,且对BOD、硝酸盐、总大肠菌群和粪便大肠菌群参数具有较高的R2。在回归分析中,BOD估计系数的p值为0.00,表明BOD与WQI显著相关。本文认为BOD是最关键的参数,并对恒河不同站点的水质进行了比较研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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