Water Quality Assessment Using Water Quality Indicators and Multivariate Analyses of the Old Brahmaputra River

被引:21
|
作者
Bhuyan, M. S. [1 ]
Bakar, M. A. [2 ]
Sharif, A. B. M. [3 ]
Hasan, M. [1 ]
Islam, M. A. [1 ]
机构
[1] Univ Chittagong, Inst Marine Sci & Fisheries, Chittagong, Bangladesh
[2] Bangladesh Council Sci & Ind Res, Chittagong, Bangladesh
[3] Bangladesh Oceanog Res Inst, Ramu, Coxs Bazar, Bangladesh
来源
POLLUTION | 2018年 / 4卷 / 03期
关键词
Assessment; Anthropogenic; Multivariate Analyses; RPI; Brahmaputra River;
D O I
10.22059/poll.2018.246865.350
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The study has been carried out to assess surface water quality of Old Brahmaputra River from September 2015 to March 2016. DO, BOD5, COD, pH, EC, Chloride, Alkalinity, and Hardness concentrations in water samples have been found to range within 0.66-2.9 mg/L, 21-138 mg/L, 45-250 mg/L, 7.1-7.8, 185-1080 uS/cm, 10-98 mg/L, 85-197 mg/L, and 84-148 mg/L, respectively. Multivariate statistical analyses such as Principal Component Analysis (PCA) and Correlation Matrix (CM) reveal significant anthropogenic intrusion of pollutants in water, while Cluster Analysis (CA) gives decent results that render three different groups of resemblance between the two sampling sites, reflecting the different water quality indicators of the river system. Very strong positive linear relations have been found between Alkalinity vs. Chloride (0.998), COD vs. BOD (0.994), Chloride vs. EC (0.981), Alkalinity vs. EC (0.976), and Hardness vs. EC (0.952) at the significance level of 0.01, which direct their common origin from industrial effluents, municipal wastes, and agricultural activities. River Pollution Index (RPI) indicates that the water of the Old Brahmaputra River varies from low to high pollution.
引用
收藏
页码:481 / 493
页数:13
相关论文
共 50 条
  • [31] Assessment and interpretation of river water quality in Little Akaki River using multivariate statistical techniques
    M. Yilma
    Z. Kiflie
    A. Windsperger
    N. Gessese
    [J]. International Journal of Environmental Science and Technology, 2019, 16 : 3707 - 3720
  • [32] Assessment and interpretation of river water quality in Little Akaki River using multivariate statistical techniques
    Yilma, M.
    Kiflie, Z.
    Windsperger, A.
    Gessese, N.
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2019, 16 (07) : 3707 - 3720
  • [33] The water quality and pollution sources assessment of Surma river, Bangladesh using, hydrochemical, multivariate statistical and water quality index methods
    Howladar, M. Farhad
    Chakma, Elora
    Koley, Nusrat Jahan
    Islam, Sabina
    Al Numanbakth, Md Abdullah
    Ahmed, Zia
    Chowdhury, Tayabur Rashid
    Akter, Shetu
    [J]. GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2021, 12
  • [34] Selection and grouping of indicators of water quality using Multivariate Statistics
    Almeida Bertossi, Ana Paula
    Cunha de Menezes, Joao Paulo
    Cecilio, Roberto Avelino
    Garcia, Giovanni de Oliveira
    Neves, Mirna Aparecida
    [J]. SEMINA-CIENCIAS AGRARIAS, 2013, 34 (05): : 2025 - 2036
  • [35] Assessment of the Klang river quality using the water quality indices
    Othman, F.
    Eldin, Alaa M. E.
    [J]. ADVANCES IN ENVIRONMENTAL ENGINEERING, 2012, 599 : 237 - 240
  • [36] Assessment of Cau River water quality assessment using a combination of water quality and pollution indices
    Son, Cao Truong
    Giang, Nguyen Thi Huong
    Thao, Trieu Phuong
    Nui, Nguyen Hai
    Lam, Nguyen Thanh
    Cong, Vo Huu
    [J]. JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA, 2020, 69 (02): : 160 - 172
  • [37] Assessment of water quality parameters using multivariate analysis for Klang River basin, Malaysia
    Ibrahim Mohamed
    Faridah Othman
    Adriana I. N. Ibrahim
    M. E. Alaa-Eldin
    Rossita M. Yunus
    [J]. Environmental Monitoring and Assessment, 2015, 187
  • [38] Assessment and Management of Ganga River Water Quality Using Multivariate Statistical Techniques in India
    Kumar, Pradip
    Kaushal, Rajendra Kumar
    Nigam, Anjani K.
    [J]. ASIAN JOURNAL OF WATER ENVIRONMENT AND POLLUTION, 2015, 12 (04) : 61 - 69
  • [39] Water quality assessment of the Nam River, Korea, using multivariate statistical analysis and WQI
    H. G. Kwon
    C. D. Jo
    [J]. International Journal of Environmental Science and Technology, 2023, 20 : 2487 - 2502
  • [40] 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
    [J]. WATER, 2023, 15 (20)