Assessment of water quality in the Messolonghi-Etoliko and Neochorio region (West Greece) using hydrochemical and statistical analysis methods

被引:74
|
作者
Alexakis, Dimitris [1 ,2 ]
机构
[1] Natl Tech Univ Athens, Ctr Assessment Nat Hazards & Proact Planning, GR-15773 Athens, Greece
[2] Natl Tech Univ Athens, Lab Reclamat Works & Water Resources Management, GR-15773 Athens, Greece
关键词
Water quality; Hydrochemistry; Geochemical modeling; Messolonghi; Greece;
D O I
10.1007/s10661-011-1884-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Assessment of the water quality can enhance understanding of the hydrochemical system and effective management of water resources. To this end, an assessment of water quality was conducted in the Messolonghi-Etoliko and Neochorio region. Surface water and groundwater samples have been collected, treated, and subjected to chemical analysis for the following parameters: Br-, Cl-, F-, NO2-, NO3-, PO43-, SO42-, Li+, Na+, NH4+, K+, Mg2+, Ca2+, HCO3-, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn. A characterization has been carried out using the Piper trilinear diagram, the United States Salinity Laboratory diagram, and the Wilcox diagram. Assessment of water samples by comparing the recorded values of the water quality parameters with the parametric values established by European Community indicated that the 50% of the surface water samples and 67% of the groundwater samples in the study area are chemically suitable for drinking use. Assessment of water samples from calculation of chemical indexes like sodium adsorption ratio, sodium percentage, residual sodium carbonate, and by comparing the values of the water quality parameters with the water quality limits established by Canadian Council of Minister of the Environment indicated that 75% of the surface water and that all the groundwater samples are chemically suitable for irrigation use.
引用
收藏
页码:397 / 413
页数:17
相关论文
共 50 条
  • [31] Water quality assessment and source identification of Daliao river basin using multivariate statistical methods
    Yuan Zhang
    Fen Guo
    Wei Meng
    Xi-Qin Wang
    Environmental Monitoring and Assessment, 2009, 152 : 105 - 121
  • [32] Water quality assessment and source identification of the Shuangji River (China) using multivariate statistical methods
    Liu, Junzhao
    Zhang, Dong
    Tang, Qiuju
    Xu, Hongbin
    Huang, Shanheng
    Shang, Dan
    Liu, Ruxue
    Xue, Bing
    PLOS ONE, 2021, 16 (01):
  • [33] Assessment of water quality using cluster analysis in coastal region of Mumbai, India
    Swapnil R. Kamble
    Ritesh Vijay
    Environmental Monitoring and Assessment, 2011, 178 : 321 - 332
  • [34] Assessment of water quality using cluster analysis in coastal region of Mumbai, India
    Kamble, Swapnil R.
    Vijay, Ritesh
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2011, 178 (1-4) : 321 - 332
  • [35] Hydrogeochemical quality investigation of groundwater resource using multivariate statistical methods, water quality indices (WQIs), and health risk assessment in Korba Coalfield Region, India
    Dheeraj, Vijayendra Pratap
    Singh, C. S.
    Alam, Aftab
    Sonkar, Ashwani Kumar
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2025, 39 (03) : 937 - 958
  • [36] Assessment of water quality and Algae growth for the Ganwol reservoir using multivariate statistical analysis
    Liu, Zihan
    Joo, Jin Chul
    Kang, Eun Bi
    Kim, Jin Ho
    Oh, Sae-Eun
    Choi, Sun Hwa
    INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT, 2020, 18 (02) : 217 - 230
  • [37] Water quality assessment of the Nam River, Korea, using multivariate statistical analysis and WQI
    Kwon, H. G.
    Jo, C. D.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2023, 20 (03) : 2487 - 2502
  • [38] Water quality assessment of the Nam River, Korea, using multivariate statistical analysis and WQI
    H. G. Kwon
    C. D. Jo
    International Journal of Environmental Science and Technology, 2023, 20 : 2487 - 2502
  • [40] Assessment of water quality and source apportionment in a typical urban river in China using multivariate statistical methods
    Huang, Jingshui
    Xie, Ruyi
    Yin, Hailong
    Zhou, Qi
    WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY, 2018, 18 (05): : 1841 - 1851