• Title of article

    Spatial and Temporal Assessment of Water Quality Changes in North, Northwest and Southwest Rivers of Iran, Involving Multivariate Statistical Techniques and GIS

  • Author/Authors

    Mohammadi ، Parva Department of Irrigation and Reclamation Engineering - Faculty of Agricultural Engineering - University of Tehran , Ebrahimi ، Kumars Department of Renewable Energies and Environmental Engineering, Environmental Technologies Engineering Section - Faculty of New Sciences and Technologies - University of Tehran , Vanaei ، Ali Department of Water Engineering - College of Agriculture - Bu-Ali Sina University , Bazrafshan ، Javad Department of Irrigation and Reclamation Engineering - University of Tehran

  • From page
    102
  • To page
    120
  • Abstract
    Surface water, especially rivers, is one of the most important water resources that play an important role in supplying water for various activities. The purpose of this study was to investigate the temporal and spatial variability of water quality parameters in three different basins, in terms of land use, at 50 hydrometric stations in 9 rivers in the period 1992-2015 by using multivariate and GIS statistical methods. In this study, factor analysis based on 10 qualitative parameters was performed to determine the most important parameters affecting the surface water quality of the study area. The results of Principal component analysis showed that the North, Northwest and Southwest basins have two significant main components with 82.38%, 79.86% and 81.60% of the total variance, respectively. Cluster analysis of hydrometric stations located in northwestern and southwestern regions was divided into two clusters and north into three clusters. In the cluster analysis, some stations in Aji Chay, Atrak and Zayanderood rivers had different water quality characteristics than other stations. These stations are located downstream of the rivers. Based on the pattern of mean water quality parameters in GIS and land use map, station 2 had the lowest values for most parameters.
  • Keywords
    GIS , PCA , surface water quality , WARD
  • Journal title
    Water Harvesting Research (WHR)
  • Journal title
    Water Harvesting Research (WHR)
  • Record number

    2734889