Water quality assessment in the ecologically stressed lower and estuarine stretches of river Ganga using multivariate statistical tool

• Published in: Environmental monitoring and assessment 2022-07, Vol.194 (7), p.469-469, Article 469
• Main Authors: Tiwari, Nitish Kumar, Das Gupta, Subhadeep, Swain, Himanshu Sekhar, Jha, Dharm Nath, Samanta, Srikanta, Manna, Ranjan Kumar, Das, Archan Kanti, Das, Basanta Kumar
• Format: Article
• Language: English
• Subjects: Anthropogenic factors; Atmospheric Protection/Air Quality Control/Air Pollution; Brackishwater environment; Cluster analysis; Diamonds; Drinking water; Earth and Environmental Science; Ecology; Ecotoxicology; Environment; Environmental Management; Environmental monitoring; Environmental science; Estuaries; Harbors; Harbours; Monitoring/Environmental Analysis; Multivariate analysis; Principal components analysis; Quality assessment; Quality control; River banks; Rivers; Sanitation; Statistics; Stormwater; Variance analysis; Water quality; Water quality assessments; Water quality standards
• ISSN: 0167-6369; 1573-2959
• DOI: 10.1007/s10661-022-10007-w

Water quality of the Ganga River system is changing day by day due to multifold increase in population, especially near the banks of river Ganga, and associated exponential amplification of anthropogenic activities also played a remarkable role in it. The ecologically important lower and estuarine stretch of river Ganga comprising 7 different sampling stations, i.e., Jangipur, Berhampore, Balagarh, Tribeni, Godakhali, Diamond Harbour and Fraserganj, were selected for the study as the stretch is enriched with the vast number of floral and faunal diversity. The study was conducted for a period of 5 years, i.e., from 2016 to 2020. In the study, various analytical tools and techniques were used for the assessment of riverine water quality, i.e., for calculation of water quality index (WQI); The National Sanitation Foundation Water Quality Index (NSF-WQI) and the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI) were used for the assessment. Along with WQI various statistical univariate as well as multivariate analytical tools like principal component analysis, correlation, ANOVA, and cluster analysis were also used to achieve the desired outputs. In the study, it has been observed that NSF-WQI varied from 61 to 2552, in which the higher value of NSF-WQI denoted the unsuitability of the water quality concerning the drinking water standards and vice versa. The CCME-WQI represented a similar trend as that of NSF-WQI, as it varied from 18 to 92 in which the lower value denoted degradation in the drinking water quality and vice versa. The study revealed that the Diamond Harbour-Fraserganj stretch is having an undesired level of water quality which were analyzed based on the drinking water guideline values of the Bureau of Indian Standards and that of NSF-WQI and CCME-WQI.