MONITORING THE SPATIO-TEMPORAL TRENDS OF GROUNDWATER QUALITATIVE PARAMETERS THROUGH GEOSTATISTICAL TOOLS

Groundwater resources are among the most important water supplies for human beings especially in arid and semi-arid regions where precipitation is scarce. These blessings are also vital for life sustenance as well as sustainable development in industry and agriculture. The quality of groundwater bears a great concern due to its key role in human health and safety therefore studying and monitoring the qualitative parameters of these resources is a useful and effective approach to tackle the related challenges. In this study, all the available data of Marand Plain’s aquifer were collected from the Regional Water Company. Checking the available dataset, a temporal range of 12 years (2002-2013) was chosen to be integrated into GIS. In ArcGIS, the map layers of the qualitative parameters were produced applying the Geostatistical Analyst tool and an appropriate interpolation method of the Ordinary Kriging model was selected to produce the interpolated surfaces for qualitative parameters. Finally, the change detection layer of each parameter was extracted. The change detection layers show the spatial fluctuations of groundwater quality over time. The temporal trends of the quality indices of the study area were also drawn. Based on the results the quality of Marand aquifer varies in different patterns spatially over the plain. The temporal analysis results suggest that in general, the water quality of the aquifer is in an inappropriate situation in which the groundwater quality has been deteriorated gradually during the study period.

Keywords:

Geostatistical analysis, GIS, groundwater quality marand plain.,

PDF

___

[1] Schmoll O., Howard G., Chilton J., Chorus I. (2006). Protecting groundwater for health: managing the quality of drinking-water sources. IWA Publishing, London.
[2] Balakrishnan P., Saleem A., Mallikarjun N. D. “Groundwater quality mapping using geographic information system (GIS): A case study of Gulbarga City, Karnataka, India.” African Journal of Environmental Science and Technology 5.12 (2011): 1069-1084.
[3] Rostamzadeh H., Nikjoo M., Asadi E. Jafarzadeh J. (2015). Potentiality Assessment of Potable Groundwater Quality in Areas of Ardabil Plain Integrating a Geostatistical Model and Multi-Criteria MCDM in GIS Environment. Hydro- geomorphology, Third Vol, Pages 43-60.
[4] Nas B., Berktay A. (2010). Groundwater quality mapping in urban groundwater using GIS. Environmental monitoring and assessment, 160(1-4), 215-227.
[5] Nohegar A., Hosseinzadeh M. M., Habibolahian M. (2011). Temporal and Spatial Analysis of Ground waters Quality of Minab Plain. Geography and Environmental Planning, 21(4), 45-64.
[6] Rao N. S. (2006). Seasonal variation of groundwater quality in a part of Guntur District, Andhra Pradesh, India. Environmental Geology, 49(3), 413-429.
[7] Jeihouni M., Toomanian A., Shahabi M., Alavipanah S. K. (2014). Groundwater Quality Assessment for Drinking Purposes Using GIS Modelling (case Study: City of Tabriz). The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(2), 163.
[8] Nwankwoala H. O., Eludoyin O. S., Obafemi A. A. (2012). Groundwater Quality Assessment and Monitoring Using Geographic Information Systems (GIS) in Port Harcourt, Nigeria. Ethiopian Journal of Environmental Studies and Management, 5(4), 583-596.
[9] Bilesavar V. (2013). Studying Hydro-geochemistry of Marand aquifer and determination of the geological formation impacts on groundwater quality, MSc dissertation, University of Mohaqeqeh Ardabili, Iran.
[10] Khorrami B., Valizadeh Kamran K., Roostaei S. (2018). Assessment of Groundwater-Level Susceptibility to Degradation Based on Analytical Network Process (ANP). International Journal of Environment and Geoinformatics , 5 (3) , 314-324 . DOI: 10.30897/ijegeo.451067.
[11] Najib A. M., (2002). Marand plain hydrogeology and effect of water level changes in quality of groundwater. M.Sc. dissertation, University of Sistan and Baluchestan, Iran.
[12] Fakhri S., Asghari A., Najib M., Barzegar R., (2015). Investigation of nitrate concentrations in groundwater resources of Marand plain and groundwater vulnerability assessment using AVI and GODS methods. Journal of Environmental Studies. Article 6, Volume 41, Issue 1, spring 2015, Page 49-66.
[13] World Health Organization, (1996). PH in Drinking-water, Guidelines for Drinking-water Quality. 2nd ed. Vol. 2. Health criteria and other supporting information. World Health Organization, Geneva. https://www.who.int › dwq › chemicals › ph_revised_2007_clean_version.
[14] Kelly W. R., Panno S. V., Hackley K. (2012). The sources, distribution, and trends of chloride in the waters of Illinois. Illinois State Water Survey Bulletin 74. Received from : https://www.isws.illinois.edu › pubdoc › ISWSB-74.
[15] Moore R. D., Richards G., Story A. (2008). Electrical conductivity as an indicator of water chemistry and hydrologic process. Streamline Watershed Management Bulletin, 11(2), 25-29.
[16] Harter, T. (2003). Groundwater quality and groundwater pollution. The University of California, Division of Agriculture and Natural Resources. UCANR Publications, California, USA.
[17] Asadollahfardi G., Hemati A., Moradinejad S., Asadollahfardi R. (2013). Sodium adsorption ratio (SAR) prediction of the Chalghazi river using the artificial neural network (ANN) Iran. Current World Environment, 8(2), 169-178.
[18] Lesch S. M., Suarez D. L. (2009). A short note on calculating the adjusted SAR index. Transactions of the ASABE, 52(2), 493-496.
[19] Groundwater Monitoring and Assessment Program, (1999). Minnesota Pollution Control Agency. (online) received from: https://www.pca.state.mn.us › sites › default › files › baseline-rpt.
[20] Miao Z., Brusseau M. L., Carroll K. C., Carreón-Diazconti C., Johnson B. (2012). Sulfate reduction in groundwater: characterization and applications for remediation. Environmental geochemistry and health, 34(4), 539-550.
[21] NGWA, (2016). Dissolved mineral sources and significance. http://www.ngwa.org/Fundamentals/studying/Pages/Dissolved-mineral-sources-and-significance.aspx https://www.pca.state.mn.us/sites/default/files/sulfate7.pdf
[22] Isaaks E. H., Srivastava R. M. (1989). Applied geostatistics: Oxford University Press. New York, 561.The USA.
[23] Childs C. (2004). Interpolating surfaces in ArcGIS spatial analyst. Esri Education Services, July-September, 3235.
[24] Ahmadi S. H., Sedghamiz A. (2007). Geostatistical analysis of spatial and temporal variations of groundwater level. Environmental monitoring and assessment, 129(1-3), 277-294.
[25] Lefohn A. S., Knudsen H. P., Shadwick D. S. (2005). Using Ordinary Kriging to Estimate the Seasonal W126, and N100 24-h Concentrations for the Year 2000 and 2003. ASL & Associates. https://webcam.srs.fs.fed.us/impacts/ozone/spatial/2000/contractor_2000_2003.pdf
[26] Esri (2016), GIS Dictionary,http://support.esri.com /en/ knowledgebase /GISDictionary/term/kriging.
[27] de Hoop S., van Oosterom P., Molenaar M. (1993). Topological querying of multiple map layers. European Conference on Spatial Information Theory (pp. 139-157). Springer Berlin Heidelberg.
[28] Lu D., Mausel P., Brondizio E., Moran E. (2004). Change detection techniques. International journal of remote sensing, 25(12), pp.2365-2401.
[29] Kamran K. V., Khorrami B. (2018). Change Detection and Prediction of Urmia Lake and its Surrounding Environment During the Past 60 Years Applying Geobased Remote Sensing Analysis. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42(3/W4).
[30] ITRC (Interstate Technology & Regulatory Council). (2013). Groundwater Statistics and Monitoring Compliance, Statistical Tools for the Project Life Cycle. GSMC-1. Washington, D.C.: Interstate Technology & Regulatory Council, Groundwater Statistics and Monitoring Compliance Team. http://www.itrcweb.org/gsmc-1/.

Sigma Mühendislik ve Fen Bilimleri Dergisi-Cover

ISSN: 1304-7191
Yayın Aralığı: Yılda 4 Sayı
Yayıncı: Yıldız Teknik Üniversitesi

Arşiv