Comprehensive assessment of water quality and associated health risk by using physicochemical quality indices and multivariate analysis in Terme River, Turkey

被引:0
|
作者
Fikret Ustaoğlu
Beyhan Taş
Yalçın Tepe
Halim Topaldemir
机构
[1] Giresun University,Biology Department, Faculty of Arts and Science
[2] Gure Campus,Faculty of Arts & Sciences Department of Molecular Biology and Genetics, Hydrobiology Section
[3] Ordu University,undefined
[4] Cumhuriyet Campus,undefined
来源
Environmental Science and Pollution Research | 2021年 / 28卷
关键词
Water management; Irrigation water usage; Nutrient pollution index; Water-quality indices; Health hazard index; Heavy metal pollution;
D O I
暂无
中图分类号
学科分类号
摘要
The ecosystem and water quality of Terme River, an essential drinking and irrigation water source in the region, are at risk due to anthropogenic pressures. Therefore, the present study aim to present a comprehensive overview of the water quality state and pollution sources of the river. Some physicochemical water quality parameters were analyzed by standard methods along the surface water of river spatiotemporally. The concentrations of major elements and heavy metals (Na, Mg, K, Ca, Al, Cr, Fe, Co, Mn, Ni, Zn, Cd, Cu, Pb, As) were measured in water samples. Relationships between physicochemical data were assessed by using multivariate statistical analysis (MSA) methods. The order of the mean values of cations were as follow: Ca2+ > Mg2+ > Na+ > K+ > NH4+ (32.66, 26.82, 13.29, 6.45, 0.305; mg/L), and order of anions: SO42- > NO3– >F- > NO2– (7.88, 3.988, 1.01, 0.0316; mg/L). Increases in ion concentrations in the downstream zone have been monitored in the summer and autumn months. Average water quality index (WQI) 22, heavy metal pollution index (HPI) 15.61, heavy metal evaluation index (HEI) 0.78, and nutrient pollution index (NPI) 0.404 values indicated that the general water quality of Terme River was fine. All hazard quotient (HQ) and hazard index (HI) values in this study were calculated below the risk threshold (<1). HI-total values (2.48E-01) in children were higher than in adults (2.14E-01). This suggests that children’s health is at higher risk than adults. Principal component analysis (PCA) data formed four principal components (PCs) explaining 85.22% of the total variance. These PCs revealed that the significant changes in water quality occurred from point and diffuse sources, including rock types of the basin, soil erosion, domestic wastewater discharges, and agricultural flow of inorganic fertilizers.
引用
收藏
页码:62736 / 62754
页数:18
相关论文
共 50 条
  • [21] Application of multivariate statistical techniques in the assessment of water quality in Sakarya River, Turkey
    Yerel, Suheyla
    Ankara, Huseyin
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2011, 78 (06) : 1 - 5
  • [22] Classification of river water quality using multivariate analysis
    Azhar, Shah Christirani
    Aris, Ahmad Zaharin
    Yusoff, Mohd Kamil
    Ramli, Mohammad Firuz
    Juahir, Hafizan
    ENVIRONMENTAL FORENSICS 2015, 2015, 30 : 79 - 84
  • [23] ASSESSMENT OF WATER QUALITY PARAMETERS BY USING MULTIVARIATE ANALYSIS AND WATER QUALITY INDICES OF AN INDUSTRIAL SEAPORT RIVERBANK AREA IN BANGLADESH
    Islam, M. S.
    Nakagawa, K.
    Mamun, M. A. A.
    Khan, A. S.
    Goni, M. A.
    Berndtsson, R.
    19TH ANNUAL MEETING OF THE ASIA OCEANIA GEOSCIENCES SOCIETY, AOGS 2022, 2023, : 68 - 70
  • [24] ASSESSMENT OF WATER QUALITY OF THE PEK RIVER BASED ON PHYSICOCHEMICAL ANALYSIS
    Nada, Petrovic V.
    Dejan, Markovic P.
    ARCHIVES FOR TECHNICAL SCIENCES, 2015, (13): : 59 - 66
  • [25] Assessment of groundwater quality of Lakshimpur district of Bangladesh using water quality indices, geostatistical methods, and multivariate analysis
    Bhuiyan, Mohammad Amir Hossain
    Bodrud-Doza, Md.
    Islam, A. R. M. Towfiqul
    Rakib, M. A.
    Rahman, M. Safiur
    Ramanathan, A. L.
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (12)
  • [26] Assessment of groundwater quality of Lakshimpur district of Bangladesh using water quality indices, geostatistical methods, and multivariate analysis
    Mohammad Amir Hossain Bhuiyan
    Md. Bodrud-Doza
    A. R. M. Towfiqul Islam
    M. A. Rakib
    M. Safiur Rahman
    A. L. Ramanathan
    Environmental Earth Sciences, 2016, 75
  • [27] Water Quality Assessment Using Water Quality Indicators and Multivariate Analyses of the Old Brahmaputra River
    Bhuyan, M. S.
    Bakar, M. A.
    Sharif, A. B. M.
    Hasan, M.
    Islam, M. A.
    POLLUTION, 2018, 4 (03): : 481 - 493
  • [28] Appraisal of Surface Water Quality of Nile River Using Water Quality Indices, Spectral Signature and Multivariate Modeling
    Gad, Mohamed
    Saleh, Ali H.
    Hussein, Hend
    Farouk, Mohamed
    Elsayed, Salah
    WATER, 2022, 14 (07)
  • [29] Assessment of Spring Water Quality Using Water Quality Indices and Multivariate Statistical Techniques in Pithoragarh, Uttarakhand
    Thakur P.K.
    Kumar V.
    Deoli V.
    Journal of The Institution of Engineers (India): Series A, 2023, 104 (02) : 301 - 316
  • [30] Water Quality Assessment Using Multivariate Statistical Methods—A Case Study: Melen River System (Turkey)
    Rabia Koklu
    Bulent Sengorur
    Bayram Topal
    Water Resources Management, 2010, 24 : 959 - 978