Using geostatistical and deterministic modelling to identify spatial variability of groundwater quality

Document Type : Research Paper


Desert Management Dept., International Desert Research Center (IDRC), University of Tehran, Tehran 1417763111, Iran


     The main portion of water demands of arid regions like Kashan Plain, Iran supply by groundwater wells. This research was conducted to assess the groundwater quality as well as modelling and mapping groundwater quality in the study area using geosatistics and deterministic techniques. Five water quality parameters, including Electrical Conductivity, Sodium Adsorption Ratio, Total Hardness, Total Dissolved Solids and pH, were applied to determine the irrigation and drinking water quality index using the Wilcox diagram and WHO standards. The final map indicated that the groundwater quality increased from north to south of the study area. The areas located in the centre, south and eastern south of the study area had the optimum quality for irrigation and drinking purposes. Furthermore, based on the results of zoning using the Wilcox diagram determined that ground water quality of the study area 22%, 42% and 36% were good, medium and non-suitable, respectively


Main Subjects

Al-Abadi, A.M., A.A. Al-Temmeme, M.A. Al-Ghanimy,
     2016 .A GIS-based combining of frequency ratio and
     index of entropy approaches for mapping groundwater
     availability zones at Badra–Al Al-Gharbi–Teeb areas,
     Iraq. Sustainable Water Resources Management, 2;
Afzali, A., H. Keshtkar, S. Pakzad, E. Farahani, A.
     Golpaigani, E. Khosrojerdi, Z. Yousefi, 2016. Spatio-
     Temporal analysis of drought severity using drought
     indices and deterministic and geostatistics methods
     (Case Study: Zayandehroud River Basin). Desert, 21;
Ahmadi, S.H., A. Sedghamiz, 2007. Geostatistical
     Analysis of Spatial and Temporal Variations of
     Groundwater Level. Environmental Monitoring and
     Assessment, 129; 277–294.
Babakhani, M., Gh. Zehtabian, A.R. Keshtkar, H.
     Khosravi, 2016. Trend of groundwater quality changes
     using geostatistics (CaseStudy: Ravar Plain).
     Pollution, 2; 115-122.
Belkhiri, L., T. SheikhiNarany, 2015. Using multivariate
     statistical analysis, geostatistical techniques and
     structural equation modelling to identify spatial
     variability of groundwater quality. Water Resources
     Management, 29; 2073-2089.
Bjerg, P.L., T.H. Christensen, 1992. Spatial and Temporal
     Small-Scale Variation in Groundwater Quality of a
     Shallow Sandy Aquifer. Journal of Hydrology, 131;
Bodrud-Doza, B.D., A.R.M.T. Islam, F. Ahmed, S. Das,
     N. Saha, M.S. Rahman, 2016. Characterization of
     groundwater quality using water evaluation indices,
     multivariate statistics and geostatistics in central
     Bangladesh. Water Science, 30; 19-40.
Brhane, G.K., 2016. Irrigation Water Quality Index and
     GIS Approach based Groundwater Quality
     Assessment and Evaluation for Irrigation Purpose in
     Ganta Afshum Selected Kebeles, Northern Ethiopia.
     International Journal of Emerging Trends in Science
     and Technology (IJETST), 3; 4624-4636.
Goovaerts, P., 1997. Geostatistics for natural resources
     evaluation. New York: Oxford Univ Pres.
Hu, K., Y. Huang, H. Li, B. Li, D. Chen, R.E. White,
     2005. Spatial variability of shallow groundwater level,
     electrical conductivity and nitrate concentration and
     risk assessment of nitrate contamination in North
     China Plain. Environ. Int., 31; 896-903.
Isaaks, E.H., R.M. Srivastava, 1989. An Introduction to
     Applied Geostatistics, New York: Oxford Univ Press.
Jafari, R., L. Bakhshandehmehr, 2014. Investigate the
     spatial variability of salinity and alkalinity
     groundwater in Isfahan province using geostatistical.
     Journal of Science and Technology of Agriculture and
     Natural Resources, Water and Soil Sciences, 18; 183-
     194. (In Persian)
Jeihouni, M., A. Toomanian, M. Shahabi, S.K.
     Alavipanah, 2014. Groundwater Quality Assessment
     for Drinking Purposes Using GIS Modelling (case
     study: city of Tabriz). The International Archives of
     the Photogrammetry, Remote Sensing and Spatial
     Information Sciences, Volume XL-2/W3, 2014 The
     1st ISPRS International Conference on Geospatial
     Information Research, 15–17 November 2014,
     Tehran, Iran.
Karami Sh., H. Madani, H. Katibeh, A. FathiMarj, 2018.
     Assessment and modeling of the groundwater
     hydrogeochemical quality parameters
     via geostatistical approaches. Applied Water Science,
     8; 1-13.
Keshtkar A.R., M.R. Ahmadi, H.R. Naseri, H. Atashi, H.
     Hamidifar, S.M. Razavi., A. Yazdanpanah, M.
     Karimpour Reihan, N. Moazami, 2016. Application of
     a vetiver system for unconventional water treatment.
     Desalination and Water Treatment, 57; 474-483.
Keshtkar, A.R., B. Asefjah, Y. Erfanifard, A. Afzali,
     2017. Application of MCDM for biologically based
     management scenario analysis in integrated catchment
     assessment and management. Desalination and Water  Treatment, 65; 243-251.
Kheradpisheh, Z., A. Almodaresi, Y. Khaksar, L. Rafati,
     2014. Zoning of Groundwater Contaminated by
     Nitrate Using Geostatistics Methods (Case Study:
     Bahabad Plain, Yazd, Iran). Desert, 19; 83-90.
Kumar, A., S. Maroju, A. Bhat, 2007. Application of
     ArcGIS geostatistical analyst for interpolating
     environmental data from observations, environmental
     progress. 26, pp. 220. 
Laze, P., S. Rizani, A. Ibraliu, 2016. Assessment of
     irrigation water quality of Dukaghin basin in Kosovo.
     Journal of International Scientific Publications,
     Agriculture and Food, 4; 544- 551.
Lokeshwari, H., G.T. Chandrappa, 2006. Impact of Heavy
     Metal Contamination of Bellandur Lake on Soil and
     Cultivated Vegetation. Current Science, 91; 622-627.
Moasheri. S.A., A. Shams Goshki, A. Parsaie, 2013.
     ‘‘SAR’’ qualities parameter persistence by a
     compound method of geostatic and artificial neural
     network (case study of Jiroft plain). International
     Journal of Agriculture and Crop Sciences, 6; 157-166.
Mohammadi, A., K. Yaghmaeian, H. Faraji, R.
     Nabizadeh, A.H. Dehghani, J.K. Khaili, A.H. Mahvi,
     2017. Temporal and spatial variation of chemical
     parameter concentration in drinking water resources of
     Bandar-e Gaz City using Geographic Information
     System. Desalination and Water Treatment 68: 170–
Mohammed, M.N., 2011. Quality assessment of Tigris
     River by using water quality index for irrigation
     purpose. European Journal of Scientific Research,
     571; 15-28.
Nas, B., 2009. Geostatistical Approach to Assessment of
     Spatial Distribution of Groundwater Quality. Journal
     of Environmental Studies, 18; 1073-1082.
Prabu, P.C., L. Wondimu, M. Tesso, 2011. Assessment of
     Water Quality of Huluka and Alaltu Rivers of Ambo,
     Ethiopia. Journal of Agricultural Science and
     Technology, 13; 131-138.
Rahimi, Z. M. Chitsazan, S. Mirzaye, A. Adineh Poor,
     2009. Check Salt River catchment water quality of
     rivers, Eighth International Seminar on River
     Engineering in February 2009, Ahvaz, Chamran
Rahmani, M., M. Mesbah, H. Hoseini Marandi, A.
     Najafinejad, 2009. Study of groundwater decreasing
     on gully erosion in Neyriz plain, Fars, Iran. 5th
     National Conference in Watershed Management,
     Gorgan, Iran. (In Persian).
Sadat Noori, M., S., Ebrahimi, A.M. Liaghat, A.H.
     Hoorfar, 2012. Comparison of different geostatistical
     methods to estimate groundwater level at different
     climatic periods. Water and Environment Journal, 27;
Soltani, J., F. Khodabakhshi, M. Dadashi, 2014.
     Classification of Water Quality of Gharasoo River for
     different uses in the wet and dry years. Journal of River
     Engineering, 2; 34-38.
World Health Organization (WHO), 1984. Guidelines for
     Drinking Water Quality, Recommendations. WHO,
     Geneva. 130p.