IDEAS home Printed from https://ideas.repec.org/a/spr/envman/v53y2014i4d10.1007_s00267-014-0238-6.html

Application of Multivariate Statistical Methods and Water-Quality Index to Evaluation of Water Quality in the Kashkan River

Author

Listed:
  • Abazar Mostafaei

    (Soil Conservation and Watershed Management Research Institute
    Shahid Chamran University, Department of Geology)

Abstract

The Kashkan River (KR), located in the west of Iran, is a major source of water supply for residential and agricultural areas as well as livestock. The objective of this study was to assess the spatial and long temporal variations of surface water quality of the KR based on measured chemical ions. The Canadian Council of Ministers of Environment Water Quality Index (CCME WQI) technique was utilized using measurements from 10 sampling stations during a period of 36 years (1974–2009). The measured data included cations (Na+, K+, Ca2+, Mg2+), anions (HCO3 −, Cl−, SO4 2−), pH, and electrical conductivity. Principal component analysis was performed to identify which of the parameters to be included in the CCME WQI calculations were actually correlated and which ones were responsible for most of the variance observed in the water-quality data. In addition, KR water quality was evaluated for its suitability for drinking and irrigation purposes using conventional methods. Last, trend detection in the WQI time series of the KR showed water-quality degradation at all sampling stations, whereas the Jelhool sub-basin more adversely affects the quality of KR water in the watershed. Nonetheless, on average, the water quality of the KR was rated as fair.

Suggested Citation

  • Abazar Mostafaei, 2014. "Application of Multivariate Statistical Methods and Water-Quality Index to Evaluation of Water Quality in the Kashkan River," Environmental Management, Springer, vol. 53(4), pages 865-881, April.
    • Handle: RePEc:spr:envman:v:53:y:2014:i:4:d:10.1007_s00267-014-0238-6
    DOI: 10.1007/s00267-014-0238-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00267-014-0238-6
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1007/s00267-014-0238-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:envman:v:53:y:2014:i:4:d:10.1007_s00267-014-0238-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.