Groundwater Quality Assessment of Shush Country for Drinking

Document Type : Research Article

Authors

1 Faculty of Member, Depatment of Agricultural Technology & Engineering, Payam Noor University, Iran

2 M.Sc graduated, Department of Watershed Management Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, Iran

3 Professor, Dept.of watershed management, Sari Agricultural Sciences and Natural Resources, University Sari, Iran

Abstract

Water quality is one of the most important factors that should be considered when evaluating the development of a region. Underground waters play an important role in the present and future functions and position of Shush country. The quality of the groundwater resources of the study area has not been evaluated so far, thus this study evaluated the groundwater resources quality of Shush country-Khuzestan province. In this study sodium, chloride, sulfate, total soluble solids, acidity, magnesium and calcium as parameters of the resources quality index contained in the World Health Organization's (WHO) guidebook were evaluated. For this purpose, after normalizing the data and plotting of variograms, spatial distribution map of these parameters were provided using Kriging and Inverse Distance Weighted (IDW) methods and the results of these methods were compared. The results showed that in all parameters the accuracy of the Kriging method was highest. In the next step, the prepared maps were combined and the groundwater quality map of the study area was prepared based on water quality standards for drinking (WHO). The results showed that 23.67% of the groundwater in the study area was at the optimum level and 15.29% had a quality level for drinking.

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[1]. Chang H. Water quality impacts of climate and land use changes in shoutheastern Pennsylvania, the kddds Geographer. 2004; 56 (2): 240-257.
[2]. Cordoba E, Martinez A, and Ferrer E. Water quality indicators: comparison of a probabilistic index and a general quality index, the case of the confederacion hidrografica del jucar (spain). Ecological Indicators. 2010; 10: 1049-1054.
[3]. Azizi Gh. Relationship between recent drought and groundwater resources in Qazvin pain. Geographic research. 2003; 35 (46): 131-143. [In Persian]
[4]. DuNing X, LI X.Y, Song D, and Yang G. Temporal and spatial dynamical simulation of groundwater characteristics in Minqin Oasis. Sci China Ser D-Earth Sci. 2007; 50 )2:( 261-273.
[5]. Chandrasekharana, H., Sarangia, A., Nagarajanb, M., Singha, V.P., Raoa D.U.M., Stalinc, P., Natarajanc, K., Chandrasekaranc, B. and Anbazhagan, S. Variability of soil–water quality due to Tsunami-2004 in the coastal belt of Nagapattinam district, Tamilnadu. Journal of Environmental Management. 2009; 89: 63–72.
[6]. Dashti Barmaki M, Rezaei M, and Saberi Nasr A. Evaluation of groundwater quality Index (GQI) in Lenjanat aquifer using geographic information system. Engineering Geology Journal. 2014; 8 (2): 2121-2138. [In Persian]
[7]. Rezaei M, Davatgar N, Tajdari Kh, and Abulpoor B. Investigation of spatial variations of some quality indices of groundwater in Guilan province using geostatistics. Water and Soil Journal. 2010; 24 (5): 932-941. [In Persian]
[8]. Hassani-pak A.A. Geostatistics. Tehran University Press, Second Edition, 314 p. [In Persian]
[9]. Marinoni, O. 2003. Improving geological models using a combined ordinary indicator kriging approach. Engineering Geology. 2007; 69: 37-45.
 
[10]. Pawar S, Panaskard B, and Wagh V.M. Characterization of groundwater using water quality index of solapur industrial (case study: Maharashtra, Iddia). International joural of Research in Engineering & Technology. 2014; 2 (4): 31-36.
[11]. Abu-alnaeem M.F, Yusoff I, Ng T.F, Alias Y, and Raksmey M. Assessment of groundwater salinity and quality in Gaza coastal aquifer, Gaza Strip, Palestine: An integrated statistical, geostatistical and hydrogeochemical approaches study. Science of the Total Environment. 2018; 615: 972-989.
[12]. Luque-Espinar J.A, Pardo-Igúzquiza E, Grima-Olmedo J, and Grima-Olmedo C. Multiscale analysis of the spatial variability of heavy metals and organic matter in soils and groundwater across Spain. Journal of Hydrology. 2018; 561: 348-371.
[13]. Hooshmand A, Delghandiz M, Izadi A, and Ahmad A.K. Application of kriging and cokriging in spatial estimation of groundwater quality parameters.African Journal of Agricultural Research. 2011; 6 (14): 3402- 3408.
[14]. Anonymous. Governor's office of Shush country. Quoting the website of “https://shoush.ostan-khz.ir/Default.aspx?tabid=723 “.2018; Available in 13th June 2018. [In Persian]
[15]. Sepehrnia B, Nabizadeh R, Mahvi A.H, and Nasseri Q. Quality analysis of drinking water in Ray country distribution networks using IWQIS software. Journal of Health and Environment. 2016; 9 (1): 103-114. [In Persian]
[16]. Badiee Nejad A, Farzad Kia M, Gholami M, and Jonnidi Jafari A. Evaluation of chemical properties of groundwater drinking water resources in Shiraz plain using geographic information system (GIS). Journal of South Medicine. 2014; 17 (3): 358-367. [In Persian]
[17]. WHO. The Guidelines: A Framework for Safe Drinking-Water. In: WHO. Editor.3rd ed. Guidelines for Drinking Water Quality. Geneva WHO Press. 2006; 6-8.
[18]. Vannini A, Natili G, Anselmi N, Montaghiand A, and Vettraino A.M. Distribution and gradient analysis of Ink disease in chestnut forests. Forest Pathology. 2010; 40: 73–86.
[19]. Cocco A, Cossu A.Q, Erre P, Nieddu G, and Luciano P. Spatial analysis of gypsy moth populations in Sardinia using geostatistical and climate models. Agricultural and Forest Entomology. 2012; 12: 417–426.
[20]. Robinson T.P and Metternicht G. Testing the performance of spatial interpolation techniques for mapping soil properties. Computer an Electronics in Agriculture. 2006; 50: 97-108.
[21]. Jahanshahi A, Rouhi-Moghaddam E, and Dehvari A. Investigating groundwater quality parameters using GIS and geostatistics (case study: Shahr-Babak plain aquifer). Journal of Water and Soil Science. 2014; 24 (2): 183-197. [In Persian]
[22]. Machiwal D, and Jha M.K. Identifying sources of groundwater contamination in a hard-rock aquifer system using multivariate statistical analyses and GIS-based geostatistical modeling techniques. Journal of Hydrology: Regional Studies, Article in Press: 2015; 31 p.
[23]. Zahedifar M, Mousavi S.A, and Rajabi M. The zoning of chemical properties of groundwater quality in Fasa plain using geomagnetic methods. Journal of Water and Soil (Agriculture Sciences and Technology). 2013; 27 (4): 812-822. [In Persian]
[24]. Yidana S, Yakubo B, and Akabzaa M. Analysis of groundwater quality using multivariate and spatial analysis in the Keta basin, Ghana. J. African East Sci. 2009; 58: 220-234.
[25]. Taghizadeh Mehrjardi R, Zareian Jahromi M, Mahmodi Sh, and Heidari A. Spatialdistribution of groundwater quality with geostatistics, case study: Yazd-Ardakan plain. World Applied Sci. J. 2008; 4(1): 9-17. [In Persian]
[26]. Ahmed S. Groundwater monitoring network design: Application of geostatistic with a few case studies from a granitic aquifer in a semi-arid region. Groundwater Hydrology Journal. 2002; 2: 37-57.
[27]. Zehtabian Gh.R, Janfaza A, Mohammad Asgari H, and Nematolahi, M.J. Modeling the distribution of some characteristics of groundwater (A case study in Garmsar watershed). Journal of Range and Desert 2010; 17 (1): 61-73. [In Persian]
[28]. Zaiming Z, Guanghui Z, Mingjiang Y, and Jinzhe W. Spatial variability of the shallow groundwater level and its chemistry characteristics in the low plain around the Bohai Sea, North China. Environmental Monitoring and Assessment. 2012; 184(6):3697-3710.
[29]. Ghahroudy-Tali M. Interpolation Evaluation by using Kriging method. Geographical Research. 2002; 43: 95-108. [In Persian]
[30]. Xu C, Gong L, Jiang T, Chen D, and Singh V.P. Analysis of spatial distribution and temporal trend of reference evapotranspiration and pan evaporation in Changjiang (Yangtze River) catchment. Journal of Hydrology. 2006; 327: 81– 93.
[31]. Sen Z, and Sahin A.D. Spatial interpolation and estimation of solar irradiation by cumulative semivariograms. Journal of Solar Energy. 2001; 71 (1): 11–21.
[32]. Panagopoulos T, Jesus J, Antunes M.D.C, and Beltrao J. Analysis of spatial interpolation for optimizing management of a salinized field cultivated with lettuce. European Journal of Agronomy. 2006; 24 (1): 1–10.
[33]. Wu J, Chunmiao Z, and Calvin C.C. Cost-effective sampling network design for contaminant plume monitoring under general hydrogeological conditions. Journal of Contaminant Hydrology. 2005; 77: 41– 65.
[34]. Weber D, England E. Evaluation and Comparison of spatial Interpolations. Mathematical Geology. 1992; 24: 381-391.
[35]. Huchinson M.F. Continent Wide Data Assimilation Using Thin Plate Smoothing Splines. In: J. D. Jasper(Ed), Data Assimilation system. BMRC Research Report No. 27, Melbourne Bureau of Meteorology. 1991; 104-113.
[36]. Habashi H, Hosseini S.M, Mohammadi J, and Rahmani R. Application of geostatistics technique in forest soil studies. Journal of Agricultural Science and Natural Resources. 2007; 14 (1): 18-27. [In Persian]
[37]. Rahmani Z, Gholami M, Khoshnevis-zadeh A, and Rezaei Kalantari R. Evaluation of quality of drinking water sources in Boeinzehra country using GWQI method. Journal of Alborz University of Medical Sciences. 2013; 2 (3): 147-155. [In Persian]
[38]. Nas B, and Berktay A. Groundwater Quality Mapping In Urban Groundwater Using GIS. Environ Monit Assess. 2010; 160: 215-227.
[39]. Bazrafshan A, Biglari H, Souri M.M, Onagh K, and Motedaien A. Management of groundwater resources in Zahedan country with emphasis on determination of chemical quality in 2008-2009. Proceedings of the Fourth International Congress of Geographers of the Islamic World (ICIWG 2010). April 2010; Zahedan, Iran, 12 p. [In Persian]