Trend of Groundwater Quality Changes, Using Geo Statistics (Case Study: Ravar Plain)

Document Type : Original Research Paper

Authors

1 International Desert Research Center (IDRC), University of Tehran, Tehran, Iran

2 Faculty of Natural Resources, University of Tehran, Tehran, Iran

Abstract

Groundwater aquifers are an important source of water supply for agriculture, industry and drinking. The present study investigates the changes in the quality of groundwater using geostatistical methods in the Ravar plain during a 10-year period. In this study, after selecting the appropriate spatial interpolation method to draw water quality parameters such as TDS, SAR and EC, zoning maps of Ravar plain were provided for three periods of time: the first period (2002-2005), an intermediate period (2006-2009) and the final period (2010-2012) in two seasons using ArcGIS 10.1. For this purpose, data were evaluated in GS+ 5.1 software, after calculation, the best model with the lowest estimated error was selected for zoning water quality parameters. Because of the lowest estimation error, Kriging, Gaussian and Spherical variogram models were selected as appropriate interpolation method for zoning the quality parameters. The results of the spatial analysis of TDS showed that TDS have been increased in the study area. Due to the amount of dissolved solids, EC amount was highly variable. According to the Wilcox classification, at the end of the period, water quality of agricultural was inappropriate in most of the area which represents the increase of electrical conductivity during the period.

Keywords

References

Abdollahi, M., Gheshlaghi, A. and Abbasnejad, A. (2013). Environmental hydrogeochemical of groundwater resources of Ravar plain. Eighth conference of the association of engineering geology and the environment. 6-7 November. Ferdousi Mashhad University.
Ahmadian. M., Chavoshian. M. and Darvish, M. (2015). Determination of groundwater level fluctuations as an indicator of semi-arid land resources degradation using geostatistical methods (case study: Kaboudrahang-Famenin). Iranian journal of range and desert research. 22(1), 109-120.
Andre, L., Franceschi, M., Puchan, P. AND Atteia, O. (2005). Using geochemical and modeling to enhance the understanding of groundwater flow in a regional deep equifer, Aquitaine Basin, South-west of France. J. Hydrol, 305, 40-42.
Ardakani, S., Talebiani, S. and Maanijou, M. (2014). Evaluation of As, Zn, Pb and Cu concentrations in groundwater resources of Toyserkan plain and preparing the zoning map using GIS. Journal of Mazandaran University of Medical Sciences. 24(114), 120-129.
Badieenejad, A., Farzadkia, A. and Gholami, M. (2014). Survey of chemical quality groundwater resources of Shiraz plain by means of GIS. Persian Gulf biomedical Research Institute, 3, 357-367.
Deepak, S. and Uday, S.N. (2013). Water Quality Index for Ground Water (GWQI) of Dhar town, MP, India. International Research Journal of Environment Sciences, 2(11), 72-77.
Environmental Protection Agency (EPA). (2005). the Report to Congress, Waste Disposal Practices and Their Effects on Ground Water. EPA/570/9-77/001 (NTIS PB265-081), 512 pp.
Hassanipak, A. (2013). Geostatistic. University of Tehran publishers. Fourth edition.
Kangaroglu, F. and Gunay, G. (1997). Ground water nitrate pollution in an alluvial aquifer, Eskir urban area and its vicinity, Turkey. Environmental Geology, 31, 178-184.
Keykhosravi, R. (2014). Zoning groundwater quality parameters by utilizing geostatistic (case study: Sabzevar plain), thesis of master, faculty of natural resources, University of Tehran .
Khasheie, A. and Sarbazi. M. (2015). Study of spatial distribution of groundwater quality using LS-SVM, MLP and geostatistical models. Journal of water and sewage, 3, 93-103.
Khosravi, H., Karmi, k., Nakhaee nejadfard. S. and Mesbahzadeh, T. (2016). Investigation of Spatial Structure of Groundwater Quality Using Geostatistical Approach in Mehran Plain, Iran. Pollution, 2(1), 57-65.
Mahdavi, M. (2009). Applied hydrology, second copy, University of Tehran publishers, sixth edition.
Pawar. S., Panaskard. B. and Wagh. V. M. (2014). Characterization of groundwater using water quality index of solapur industrial, (case study: Maharashtra, INDIA). International Journal of Research in Engineering & Technology, 2(4), 31-36.
Pourakbar, M., Mosaferi. M. and Shakerkhatibi, M. (2015). Groundwater quality assessment from a hydrogeochemical viewpoint (case study: Sarab county). Journal of water and sewage, 3, 116-126.
Regional Water Company of Kerman province. (2012). Project of survey of quality and quantity of groundwater of Ravar-Kerman plain.
Sadeghi, A. (2013). Evaluation and monitoring land degradation and its effects on quality and quantity of groundwater Zaribar lake watershed, thesis of master, faculty of natural resources, University of Tehran .
WHO. (2008). Guidelines for Drinking-Water Quality [Electronic Resource]: Incorporating First Addendum Recommendations, World Health Organization. Geneva, Switzerland, 515 pp.
Wilcox L.V. (1955). Classification and use of irrigation water, US Department of Agriculture., Circ. 696, Washington, DC.
Wu, M. Xue, L. and Jin, W. (2014). Modeling the Linkage between Landscape Metrics and Water Quality Indices of Hydrological Units in Sihu Basin, Hubei Province, China: An Allometric Model. The 18th Biennial Conference of International Society for Ecological Modeling. Procedia Environmental Sciences, 13, 2131–2145.
Pollution
Volume 2, Issue 2 - Serial Number 2
April 2016
Pages 115-129

Files

Share

How to cite

Statistics