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

被引:15
|
作者
Tiwari, Nitish Kumar [1 ]
Das Gupta, Subhadeep [1 ]
Swain, Himanshu Sekhar [1 ]
Jha, Dharm Nath [1 ]
Samanta, Srikanta [1 ]
Manna, Ranjan Kumar [1 ]
Das, Archan Kanti [1 ]
Das, Basanta Kumar [1 ]
机构
[1] Cent Inland Fisheries Res Inst, ICAR, Kolkata 700120, India
关键词
Ganga River system; NSF-WQI; CCME-WQI; Multivariate analysis; Transboundary River; PRINCIPAL COMPONENT ANALYSIS; GROUNDWATER QUALITY; CLIMATE-CHANGE; INDEX; IMPACT; POLLUTION; PHOSPHORUS; TURBIDITY; BASIN; INDIA;
D O I
10.1007/s10661-022-10007-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] WATER QUALITY ASSESSMENT AND APPORTIONMENT OF POLLUTION SOURCES OF TIGRIS RIVER (TURKEY) USING MULTIVARIATE STATISTICAL TECHNIQUESuA CASE STUDY
    Varol, M.
    Gokot, B.
    Bekleyen, A.
    Sen, B.
    RIVER RESEARCH AND APPLICATIONS, 2012, 28 (09) : 1428 - 1438
  • [22] Investigation of the Soan River Water Quality Using Multivariate Statistical Approach
    Zakaullah
    Ejaz, Naeem
    INTERNATIONAL JOURNAL OF PHOTOENERGY, 2020, 2020
  • [23] Surface Water Quality Assessment and Contamination Source Identification Using Multivariate Statistical Techniques: A Case Study of the Nanxi River in the Taihu Watershed, China
    Zhang, Zhi-Min
    Zhang, Fei
    Du, Jing-Long
    Chen, De-Chao
    WATER, 2022, 14 (05)
  • [24] Water Quality Assessment and Potential Source Contribution Using Multivariate Statistical Techniques in Jinwi River Watershed, South Korea
    Choi, Hyeonmi
    Cho, Yong-Chul
    Kim, Sang-Hun
    Yu, Soon-Ju
    Kim, Young-Seuk
    Im, Jong-Kwon
    WATER, 2021, 13 (21)
  • [25] Assessment of surface water quality via multivariate statistical techniques: A case study of the Songhua River Harbin region, China
    Wang, Yi
    Wang, Peng
    Bai, Yujun
    Tian, Zaixing
    Li, Jingwen
    Shao, Xue
    Mustavich, Laura F.
    Li, Bai-Lian
    JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2013, 7 (01) : 30 - 40
  • [26] Application of multivariate statistical techniques in the water quality assessment of Danube river, Serbia
    Voza, Danijela
    Vukovic, Milovan
    Takic, Ljiljana
    Nikolic, Djordje
    Mladenovic-Ranisavljevic, Ivana
    ARCHIVES OF ENVIRONMENTAL PROTECTION, 2015, 41 (04) : 96 - 103
  • [27] Spatial-temporal assessment of water quality and assimilative capacity of river Ramganga, a tributary of Ganga using multivariate analysis and QUEL2K
    Gurjar, Suresh Kr
    Tare, Vinod
    JOURNAL OF CLEANER PRODUCTION, 2019, 222 : 550 - 564
  • [28] Use of water quality index and multivariate statistical techniques for the assessment of spatial variations in water quality of a small river
    Dutta, Smita
    Dwivedi, Ajay
    Kumar, M. Suresh
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (12)
  • [29] The Water Quality Management in the Nakdong River Watershed using Multivariate Statistical Techniques
    Han, Suhee
    Kim, Eungseock
    Kim, Sangdan
    KSCE JOURNAL OF CIVIL ENGINEERING, 2009, 13 (02) : 97 - 105
  • [30] SURFACE WATER QUALITY ASSESSMENT USING MULTIVARIATE STATISTICAL TECHNIQUES: A CASE STUDY OF SHAYING RIVER BASIN (LOWER REACH), CHINA
    Ni, Tianhua
    Xu, Jiangang
    Hua, Xin
    Bai, Yiyao
    Sun, Ping
    FRESENIUS ENVIRONMENTAL BULLETIN, 2012, 21 (10): : 2969 - 2976