An integrated study of water quality in the Ganol River Basin, India: Application of hydro-chemical, multivariate statistical, and water quality index techniques

被引:0
作者
Das, Gayatri [1 ,3 ]
Bharali, Biswadeep [2 ]
机构
[1] Assam Down Town Univ, Civil Engn Programme, Gauhati 781026, Assam, India
[2] Scholars Inst Technol & Management, Civil Engn Dept, Gauhati 781035, Assam, India
[3] Assam Down Town Univ, Fac Engn, Civil Engn Programme, Gauhati 781026, Assam, India
关键词
environmental variables; Ganol River; principal component analysis; water quality index; GROUNDWATER QUALITY; TEMPORAL VARIATIONS;
D O I
10.1002/tqem.22171
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Ganol River, a vital water source for Meghalaya, India, faces significant environmental degradation due to human activities, primarily the improper disposal of domestic and commercial wastes. This study aims to assess the current water quality of the Ganol River through hydro-chemical analysis, multivariate statistical methods, and Water Quality Index (WQI) analysis. Over a span of 6 years (2014-2020), monthly water samples were collected from ten source points or stations along the river. The findings revealed that some environmental variables had mean values below the standard limit, while others, notably dissolved oxygen (DO) and turbidity, had higher values. The Pearson correlation coefficients was used to establish the closeness or relationship within and between physico-chemical characteristics, with some displaying strong positive connections and others showing moderate to negative correlations. The study identified several key environmental contaminants, including conductivity, BOD, COD, TSS, D.O, chloride, TDS, sulphate, hardness, calcium, magnesium, potassium, fecal coliform, and total coliform, based on their highest factor loading values. Such contaminants are significantly impacting aquatic life and the overall ecosystem of the Ganol River. Moreover, the Water Quality Index (WQI) assessment indicated a continuous decline annually in the water quality of the Ganol River. This decline poses a severe threat to the river's sustainability and the well-being of the communities relying on it for various purposes.
引用
收藏
页码:955 / 966
页数:12
相关论文
共 50 条
  • [41] Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan
    Shrestha, S.
    Kazama, F.
    ENVIRONMENTAL MODELLING & SOFTWARE, 2007, 22 (04) : 464 - 475
  • [42] Application of multivariate statistical analysis in the study of water quality in the Pomba River (MG)
    Guedes, Hugo A. S.
    da Silva, Demetrius D.
    Elesbon, Abrahao A. A.
    Ribeiro, Celso B. M.
    de Matos, Antonio T.
    Soares, Jose H. P.
    REVISTA BRASILEIRA DE ENGENHARIA AGRICOLA E AMBIENTAL, 2012, 16 (05): : 558 - 563
  • [43] Assessment of underground water quality and water quality index across the Noyyal River basin of Tirupur District in South India
    Krishnamoorthy, N.
    Thirumalai, R.
    Sundar, M. Lenin
    Anusuya, M.
    Kumar, P. Manoj
    Hemalatha, E.
    Prasad, M. Mohan
    Munjal, Neha
    URBAN CLIMATE, 2023, 49
  • [44] A multivariate statistical approach in assessing the quality of potable and irrigation water environs of the Netravati River basin (India)
    Sudhakaran, Sandhya
    Mahadevan, Harsha
    Arun, Vijayan
    Krishnakumar, Appukuttan Pillai
    Krishnan, Krishnan Anoop
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2020, 11
  • [45] Assessment of the Surface Water Quality of the Gomti River, India, Using Multivariate Statistical Methods
    Kushwah, Vinod Kumar
    Singh, Kunwar Raghvendra
    Gupta, Nakul
    Berwal, Parveen
    Alfaisal, Faisal M.
    Khan, Mohammad Amir
    Alam, Shamshad
    Qamar, Obaid
    WATER, 2023, 15 (20)
  • [46] APPLICATION OF THE WATER QUALITY INDEX IN THE TIMOK RIVER BASIN (SERBIA)
    Joksimovic, Dragana Milijasevic
    Gavrilovic, Bojan
    Obradovic, Suzana Lovic
    JOURNAL OF THE GEOGRAPHICAL INSTITUTE JOVAN CVIJIC SASA, 2018, 68 (03): : 333 - 344
  • [47] 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
  • [48] Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques - a case study
    Singh, KP
    Malik, A
    Sinha, S
    ANALYTICA CHIMICA ACTA, 2005, 538 (1-2) : 355 - 374
  • [49] Assessment of river water quality in Pearl River Delta using multivariate statistical techniques
    Fan, Xiaoyun
    Cui, Baoshan
    Zhao, Hui
    Zhang, Zhiming
    Zhang, Honggang
    INTERNATIONAL CONFERENCE ON ECOLOGICAL INFORMATICS AND ECOSYSTEM CONSERVATION (ISEIS 2010), 2010, 2 : 1220 - 1234
  • [50] Groundwater quality assessment using multivariate statistical technique and hydro-chemical facies in Birbhum District, West Bengal, India
    Niladri Das
    Prolay Mondal
    Ranajit Ghosh
    Subhasish Sutradhar
    SN Applied Sciences, 2019, 1