Water and sediment quality assessment in the mid-Black Sea coast of Turkey using multivariate statistical techniques

被引:29
|
作者
Akbal, Feryal [1 ]
Gurel, Levent [1 ]
Bahadir, Tolga [1 ]
Guler, Ilknur [1 ]
Bakan, Gulfem [1 ]
Buyukgungor, Hanife [1 ]
机构
[1] Ondokuz Mayis Univ, Fac Engn, Dept Environm Engn, TR-55139 Kurupelit, Samsun, Turkey
关键词
Black Sea; Water quality; Sediment quality; Monitoring; Statistical analysis; GOMTI RIVER INDIA; POLLUTION; GROUNDWATER; BASIN;
D O I
10.1007/s12665-011-0963-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The aim of this study was to investigate the water and sediment quality in the mid-Black Sea coast of Turkey. The samples were collected from six stations during 2007. Investigated parameters were total carbon (TC), total inorganic carbon (TIC), total organic carbon (TOC), ammonium-nitrogen (NH4-N), nitrate-nitrogen (NO3-N), nitrite-nitrogen (NO2-N), total phosphorus (TP), sulphate, total hardness, methylene blue active substances (MBAS), phenol, adsorbable organic halogens (AOX), dissolved oxygen (DO), pH and electrical conductivity (EC) in water samples and TC, TIC, TOC, TP, pH, electrical conductivity (EC), redox potential (Eh) and water content (WC) in sediment samples. Different multivariate statistical techniques were used to evaluate variations in surface water and sediment quality. Principal component analysis helped in identifying the factors or sources responsible for water and sediment quality variations. Five factors were found responsible for 87.63% of the total variance in the surface waters. In sediments, three factors explained 84.73% of the observed total variance. Cluster analysis classified the monitoring sites into two groups based on similarities of water and sediment quality characteristics.
引用
收藏
页码:1387 / 1395
页数:9
相关论文
共 50 条
  • [41] Water Quality Assessment of River Tawi, Jammu Using Water Quality Index and Multivariate Statistical Techniques
    Panjgotra, Shivali
    Rishi, Madhuri S.
    Awasthi, Ashima
    WATER RESOURCES, 2022, 49 (06) : 1059 - 1069
  • [42] Groundwater quality assessment of urban Bengaluru using multivariate statistical techniques
    Gulgundi, Mohammad Shahid
    Shetty, Amba
    APPLIED WATER SCIENCE, 2018, 8 (01)
  • [43] A holistic review on the assessment of groundwater quality using multivariate statistical techniques
    Praharsh S. Patel
    Dishant M. Pandya
    Manan Shah
    Environmental Science and Pollution Research, 2023, 30 : 85046 - 85070
  • [44] Assessment of groundwater quality using multivariate statistical techniques in the Azmak Spring Zone, Mugla, Turkey
    Acikel, Sukran
    Ekmekci, Mehmet
    ENVIRONMENTAL EARTH SCIENCES, 2018, 77 (22)
  • [45] Temporal and spatial analysis of water quality in Saemangeum watershed using multivariate statistical techniques
    Monica, Nankya
    Choi, KyungSook
    PADDY AND WATER ENVIRONMENT, 2016, 14 (01) : 3 - 17
  • [46] Assessment of river water quality in the South Baltic coast by multivariate techniques
    Cieszynska, Monika
    Wesolowski, Marek
    Bartoszewicz, Maria
    Michalska, Malgorzata
    CENTRAL EUROPEAN JOURNAL OF CHEMISTRY, 2011, 9 (02): : 265 - 274
  • [47] 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
  • [48] Assessment of Reservoir Water Quality Using Multivariate Statistical Techniques: A Case Study of Qiandao Lake, China
    Gu, Qing
    Zhang, Yao
    Ma, Ligang
    Li, Jiadan
    Wang, Ke
    Zheng, Kefeng
    Zhang, Xiaobin
    Sheng, Li
    SUSTAINABILITY, 2016, 8 (03):
  • [49] THE HEAVY METAL ASSESSMENT OF HARSIT STREAM (GIRESUN, TURKEY) USING MULTIVARIATE STATISTICAL TECHNIQUES
    Mutlu, Cengiz
    Eraslan-Akkan, Buse
    Verep, Bulent
    FRESENIUS ENVIRONMENTAL BULLETIN, 2018, 27 (12B): : 9851 - 9858
  • [50] Determination of water quality assessment in wells of the Goksu Plains using multivariate statistical techniques
    Guner, Esra Deniz
    Cekim, Hatice Oncel
    Seckin, Galip
    ENVIRONMENTAL FORENSICS, 2021, 22 (1-2) : 172 - 188