Investigating spatio-temporal variability of groundwater quality parameters using geostatistics and GIS

Journal Title: International Research Journal of Applied and Basic Sciences - Year 2013, Vol 4, Issue 12

Abstract

Mapping the spatio-temporal distribution of water quality parameters is a crucial step in optimum utilization of groundwater resources. In this study we use information of 172 pizometric wells in Shiraz city, southern Iran to investigate the spatial variability of groundwater quality parameters (EC, SAR, TDS and Na) in 2005 and 2009. In order to do so, first the experimental semivariograms of selected parameters are calculated using GS+ software and the best semivariogram models are fitted to the experimental data. The results showed that groundwater quality data are strongly spatially correlated over the study region. Spatial structure of all parameters except SAR 2005 follow a spherical model. For SAR in 2005 a Gaussian model is the best semivariogram model. Kriging approach via ArcGIS software is used to interpolate and map groundwater quality parameters. Groundwater qualitative map for agricultural purpose is produced through combining EC and SAR estimation maps considering US salinity laboratory standard. According to the generated maps, eastern parts have higher concentration of EC, TDS and SAR than other parts of the study area that could be duo to existence of salt lake there. The results showed that groundwater quality has slightly decreased from 2005 to 2009.

Authors and Affiliations

Masoomeh Delbari*| Assistant Professor, Department of Water Engineering, Faculty of Water and Soil, University of Zabol, Zabol, Iran, mas_delbari@yahoo.com, Masoud Bahraini Motlagh| M.Sc. students of water resources Engineering, Department of Water Engineering, Faculty of Water and Soil, University of Zabol, Zabol, Iran, Milad Kiani| M.Sc. students of water resources Engineering, Department of Water Engineering, Faculty of Water and Soil, University of Zabol, Zabol, Iran, Meysam Amiri| M.Sc. students of water resources Engineering, Department of Water Engineering, Faculty of Water and Soil, University of Zabol, Zabol, Iran

Keywords

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  • EP ID EP5798
  • DOI -
  • Views 294
  • Downloads 9

How To Cite

Masoomeh Delbari*, Masoud Bahraini Motlagh, Milad Kiani, Meysam Amiri (2013). Investigating spatio-temporal variability of groundwater quality parameters using geostatistics and GIS. International Research Journal of Applied and Basic Sciences, 4(12), 3623-3632. https://europub.co.uk./articles/-A-5798