Study of Local and Temporal Changes of Groundwater Quality Standards of Hamedan-Bahar Plain Using (GIS) over a 10 Year Period

Subject Areas : GIS

Sahar Eghbalian ¹ , omid Bahmani ²

1 - M.Sc., Water Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran
2 - ‌Assistant Professor, Department of Water Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran *(Corresponding Author)

Received: 2017-01-14 Accepted : 2017-04-20 Published : 2020-05-21

Keywords: groundwater quality, Specific methods, geostatistics, The main Hamedan Bahar aquifer,

Abstract :

Background and objective: Groundwater is the valuable resources for drinking, agriculture and industry uses in the most regions of Iran. Groundwater qualitative changes can be created by human activity and industrial development. Study of these resources is necessary in order to maintaining and improving their quality. The objective of this study is zoning and regional the specification parameters point of the case study. Finally determined the best method for zoning the each of the variables and permitted and infect areas in agricultural uses.  In addition behavior variables were investigated in the 10 year period of time. Method: Qualitative data of Hameda-Bahar plain in Ten-year period were used in this study. Variables such as EC, TDS, SAR, HCO3, PH, Cl & Na evaluated by Geostatical methods include of Ordinary Kriging(OK),(by Circular, Gaussian, Exponential and spherical Semivariogram Modeling) and the specific methods include inverse distance weights (IDW), radial basis functions (RBF), global polynomial interpolator (GPI) and local polynomial interpolator (LPI), were zoning with ARCGIS9.3. Findings: Results indicated that the best method to zoning the qualitative parameters were IDW (EC), RBF (TDS), OK exponential semivariogram (HCO3), IDW (PH), RBF (Cl), OK exponential semivariogram (Na) and RBF (SAR) in Hamedan-Bahar plain. According to the best method the zoning of parameters was done for 2005, 2009 and 2014 years. Discussion and Conclusion: Results showed that Na had the maximum changes in ground water during the study period. The area percent for this parameter increased 3.21% from 2005 to 2014.

References:

1. Pourmoghadas, H. 2002. Investigation of groundwater quality in Lenjan city. School of Public Health and Institute of Public Health Research. 31-40. (In Persian)


2. Dehghani, F., Rahnamaei, R., Malakoti, M.j., Saadat, S., 2013. Investigating the status of calcium-magnesium ratio in some irrigation water in Iran. Journal of Water Research in Agriculture. 26, 113-125. (In Persian)


3. Tghizadeh Mehjerdy, R., Mahmoodi, S., Khazaii, S.M.,  Haydari, A., 2009., Study of local groundwater salinity change using geostatisticsc (A Case study: Rafsanjan, Iran). 2th national conference on Environment engineering .Tehran University, Iran. (In Persian)


4. Rezaei, M., Davatgar, N., Tajdari, Kh., Abolfar, B., 2010. Investigation the Spatial Variability of Some Important Groundwater Quality Factors in Guilan, Iran. Journal of water and soil. 24,932-941. (In Persian)


5. Sun, Y., Shaozhong, K., Li, F., Zhang, L., 2009. Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the Minqin oasis of northwest China. Journal of Environmental Modelling & Software. 24(10), 1163–1170.
   
   
   1. Zehtabian, G.h., JanFaza, A.T., Asgari, H., Nematolahi, M.J., 2010. Modeling of ground water spatial distribution for some chemical properties (Case study in Garmsar watershed). Journal of Range and Desert research. 17, 61-73. (In Persian).
   
   
   2. Ahmed, S., 2002. Groundwater monitoring network design: application of geostatistics with a few case studies from a granitic aquifer in a semiarid region. American Journal. 65(5), 1564-1571.
   
   


6. Nas, B., 2009. Geostatistical approach to assessment of spatial distribution of groundwater quality. Environmental Studying. 6,1073-1082


7. Dash, J.P., Sarangi, A., Singh, D.K., 2010. Spatial variability of groundwater depth and quality parameters in National Capital Territory of Delhi. Journal of Environmental Management. 45, 640-650.


8. Kresic, N., 1997. Hydrogeology and groundwater modeling. Lewis Publishers, USA.


9. Yamamoto, J.K., 2000. An alternative measure of the reliability of ordinary kriging estimates. Journal of Mathematical Geology. 32,489-497.


10. Hakan, A., 2012. Spatial and temporal mapping of groundwater salinity using ordinary kriging and indicator kriging: The case of Bafra Plain, Turkey. Journal of Agricultural Water Management. 113,57-63.


11. Maria, P.M., Luís, R., 2010. Nitrate probability mapping in the northern aquifer alluvial system of the river Tagus (Portugal) using Disjunctive Kriging. Journal of Science of the Total Environment. 408,1021–1034.


12. Istok, J.D., Cooper, R.M., 1998. Geostatistics Applied to Groundwater Pollution Global Estimates. Journal of Environmental Engineering. 114(4), 915-928.


13. Balai, H., Khalilian, S., Ahmadian, M., 2010. Investigating the role of water pricing in agricultural sector on the balance of groundwater resources. Journal of agriculture economics and development. 24, 185-194. (In Persian)


14. Rahmani, A.R., Sadahi, M., 2004. Prediction of Groundwater level changes in the plain of Hamadan-Bahar using time series model. Journal of water and wastewater. 15, 42-49. (In Persian)


15. Johnston, K., Ver Hoef, J.M., Krivoruchko, K., Lucas, N., 2001. Using ArcGIS Geoststistical Analyst. Printed in the United State of America.


16. Webster, R., Oliver, M., 2001. Geostatistics for environmental scientists. Environmental scientists. 2^nd edition. 330p.


17. Jafari, R., Bakhshandemehr, L., 2014. Analyzing the Spatial Variations of Groundwater Salinity and Alkalinity in Isfahan Province Using Geostatistics. Journal of water and soil science. 18 (68),183-195. (In Persian)


18. Ghasemi, A., Shahsavar, A., Yaghubi Kikale, B., 2010. Assessment of changes in groundwater quality and quantity of Hamedan-Bahar plain. Journal of plant and Ecosystem. 6(23), 109-127. (In Persian)


19. Shabani, M. 2008. Determination of the most appropriate method of land statistics in preparing a map of PH and TDS variations of groundwater (Case study: Arsanjan Plain). Journal of water engineering. 1, 47-58.  (In Persian)


20. Yazdanimoghadam, Y., Vali, A., Ghazavi, R., 2014. Investigation of geostatistic methods in qualitative zonation of groundwater resources in Kashan plain. 25(3), 171-185. (In Persian)


21. Jahanshahi, A., Rouhi Moghadam, E., Dehvari, A., 2013. Investigation groundwater quality parameters using GIS and geostatistic (case study: Shahr-Babak plain aquifer). Journal of water and soil science. 2(24), 183-197. (In Persian)


22. Alizadeh, A., 2010. Soil, Water, Plant relationship. Ferdowsi university of Mashhad. 11^nd edition. 616p. (In Persian)

8. Nazarizade, F., Arshadian, B., Zandvakili, K., 2007. Investigation of spatial variations of groundwater quality in Balarood plain in Khuzestan province. The first regional conference on optimal utilization of water sources in the Karoon and Zayandeh Rood areas. Shahr kord. Iran. (In Persian)


9. Samin, M., Soltani, J., Zeraatcar, Z., Moasheri, S.A., Sarani, N., 2012. Spatial estimation of groundwater quality parameters based on water salinity data using kriging and cokriging methods. International Conference on Transport, Environment and Civil Engineering. 25-26 August, Kuala Limpur, Malaysia. (In Persian)