Volume 7, Issue 3 (Summer 2019)                   Iran J Health Sci 2019, 7(3): 9-20 | Back to browse issues page


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Taheri Tizro A, Mohamadi M. Geostatistical Approach for Groundwater Quality Evaluation in Zarin Abad Plain, Iran. Iran J Health Sci. 2019; 7 (3) :9-20
URL: http://jhs.mazums.ac.ir/article-1-648-en.html
Bu-Ali Sina University, Hamedan, Iran. , ttizro@basu.ac.ir
Abstract:   (98 Views)
Background and Purpose: This study was undertaken, first, to investigate the hydrogeological setting of the study area and geophysical data, second to examine the general nature of the groundwater quality. In this regard, ordinary Kriging, Co-Kriging, and Inverse Weighted Distance (IWD) strategies were applied to develop spatial variability maps, and study the fluctuations in groundwater quality parameters in Zarin Abad plain, Zanjan Province, Iran in 2017-2018.
Materials and methods: To inquire the groundwater quality parameters, samples were provided from 61 shallow and deeply drilled observed wells in Zarin Abad Goltapeh plain. The studies were carried out by using geostatistical methods to find out the most applicable method, which can be used to develop spatial variability maps in order to study the changes in groundwater quality parameters (Na+, K+, Ca2+, Mg2+, SO42-, HCO3-, Cl- and EC).  The local geophysical, geological, and hydrogeological surveys were precisely accomplished to specify the architecture of various subsurface geological horizons. In addition, a geophysical investigation with a Schlumberger configuration was performed in the study region for the purpose of field data generation.
Results: Based on key results, the values of electrical conductivity (EC) were recorded within the range of 480 and 6580 μS/cm. The order of major cations and anions were Na+>Ca2+>Mg2+ and SO42->Cl->HCO3-, respectively. It is worthwhile mentioning that groundwater salinity was found to be dependent upon factors, such as water long residence time and minerals dissolution.
Conclusion: To assess the spatial distribution in groundwater parameters, the variable mode was used. The results obtained from Kriging, Co-Kriging, and IDW methods were then evaluated by the error indices of RMSE and MAE. Co-Kriging Model was the most optimal approach in studying the spatial variation of groundwater quality parameters.
 
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Type of Study: Original Article | Subject: Environmental Health

References
1. Taheri Tizro A, Sarhadi B, Mohamadi M. MODFLOW/MT3DMS Based Modeling Leachate Pollution Transfer in Solid Waste Disposal of Bahar Plain Deep Aquifer. Iranian Journal of Health Sciences. 2018; 6(2):11-30. [DOI:10.18502/jhs.v6i2.46]
2. Belkhiri L, Narany TS. Using multivariate statistical analysis, geostatistical techniques and structural equation modeling to identify spatial variability of groundwater quality. Water Resources Management. 2015; 29(6):2073-89. [DOI:10.1007/s11269-015-0929-7]
3. Karami S, Madani H, Katibeh H, Marj AF. Assessment and modeling of the groundwater hydro geochemical quality parameters via geostatistical approaches. Applied water science. 2018; 8(1):23. [DOI:10.1007/s13201-018-0641-x]
4. Maroufpoor S, Fakheri-Fard A, Shiri J. Study of the spatial distribution of groundwater quality using soft computing and geostatistical models. ISH Journal of Hydraulic Engineering. 2019; 25(2):232-8. [DOI:10.1080/09715010.2017.1408036]
5. Bhuiyan MAH, Bodrud-Doza M, Islam AT, Rakib MA, Rahman MS, Ramanathan AL. Assessment of groundwater quality of Lakshimpur district of Bangladesh using water quality indices, geostatistical methods, and multivariate analysis. Environmental Earth Sciences. 2016; 75(12):1020. [DOI:10.1007/s12665-016-5823-y]
6. Abdulrasoul M, Al-Omran AM, Aly AA, Al-Wabel MI, Al-Shayaa MS, Sallam AS, Nadeem ME. Geostatistical methods in evaluating spatial variability of groundwater quality in Al-Kharj Region. Saudi Arabia. Applied Water Science. 2017; 7(7):4013-23. [DOI:10.1007/s13201-017-0552-2]
7. Narany TS, Ramli MF, Aris AZ, Sulaiman WN, Fakharian K. Groundwater irrigation quality mapping using geostatistical techniques in Amol-Babol Plain, Iran. Arabian Journal of Geosciences. 2015; 8(2):961-76. [DOI:10.1007/s12517-014-1271-8]
8. McLeod L, Bharadwaj L, Epp T, Waldner C. Use of principal components analysis and kriging to predict groundwater-sourced rural drinking water quality in Saskatchewan. International journal of environmental research and public health. 2017; 14(9):1065. [DOI:10.3390/ijerph14091065] [PMID] [PMCID]
9. Masoud AA, El-Horiny MM, Atwia MG, Gemail KS, Koike K. Assessment of groundwater and soil quality degradation using multivariate and geostatistical analyses, Dakhla Oasis. Egypt. Journal of African Earth Sciences. 2018; 142:64-81. [DOI:10.1016/j.jafrearsci.2018.03.009]
10. Delbari M, Amiri M, Motlagh MB. Assessing groundwater quality for irrigation using indicator kriging method. Applied Water Science. 2016; 6(4):371-81. [DOI:10.1007/s13201-014-0230-6]
11. Hamzah Z, Aris AZ, Ramli MF, Juahir H, Narany TS. Groundwater quality assessment using integrated geochemical methods, multivariate statistical analysis, and geostatistical technique in shallow coastal aquifer of Terengganu, Malaysia. Arabian Journal of Geosciences. 2017; 10(2):49. [DOI:10.1007/s12517-016-2828-5]
12. Rezaei M, Davatgar N, Tajdari KH, Aboulpour B. Investigation the spatial variability of some important groundwater quality factors in Guilan, Iran. 2010; 24(5):932-41.
13. Anonymous. Groundwater Monitoring in Zarin Abad plain. Unpublished report. West Water Regional Company. Province of Kermanshah, Ministry of Power. I.R. Iran. 2007.
14. Tizro TA, Voudouris KS, Salehzade M, Mashayekhi H. Hydrogeological framework and estimation of aquifer hydraulic parameters using geoelectrical data: A case study from West Iran. Hydrogeology Journal.2010;18:917-929. [DOI:10.1007/s10040-010-0580-6]
15. Zohdy AAR. A new method for automatic interpretation of Schlumberger and Wenner sounding curves. Geophysics. 1989; 5(2):245-52. [DOI:10.1190/1.1442648]
16. Zohdy AAR, Eaton GP, Mabey DR. Application of surface Geophysics to groundwater investigations. US Geological Survey Techniques of Water Resources Investigations. Book 2, 1974. p.116.
17. ANSI/AWWA B600 Powdered activated carbon. American National Standards Institute/ American Water Works Association, Denver, CO. 2010. Available from: URL:http://dx.doi.org/ 10.12999/AWWA.B600.10
18. Claassen H C. Guidelines and Techniques for Obtaining Water Samples That Accurately Represent the Water Chemistry of an Aquifer. U.S. Geological Survey, Open-File Report 82-1024, Lake, Colorado: 1982. p.49. [DOI:10.3133/ofr821024]
19. Tizro TA, Ghashghaie M, Georgiou P, Voudouris K. Time series analysis of water quality parameters. Journal of Applied Research in Water & Wastewater. 2014; 1 (1):40-50.
20. Tizro TA, Voudouris K. Groundwater quality in the semi-arid region of the Chahardouly basin, West Iran. Hydrological Processes. 2008; 22(16):3066-3078. 1 [DOI:10.1002/hyp.6893]
21. Hem JD. Study and interpretation chemical characteristics of natural water. U.S. Geol. Survey, Water Supply; 1985; vol: 2254.
22. Lioyd JW. Saline groundwater associated with fresh water reserves in the United Kingdom. A survey of British Hydrogeogy, Spec. Pub. R. Soc. London: 1981. P.73-84.

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