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Khosravi, Khabat, Nejad Roshan, Mahmoud Habib, Safari, Atta. (1396). Assessment of Geostatistical Methods for Determining Distribution Patterns of Groundwater Resources in Sari-Neka Coastal Plain, Northern Iran. , 5(2), 124-134. doi: 10.22069/ijerr.2017.3870
Khabat Khosravi; Mahmoud Habib Nejad Roshan; Atta Safari. "Assessment of Geostatistical Methods for Determining Distribution Patterns of Groundwater Resources in Sari-Neka Coastal Plain, Northern Iran". , 5, 2, 1396, 124-134. doi: 10.22069/ijerr.2017.3870
Khosravi, Khabat, Nejad Roshan, Mahmoud Habib, Safari, Atta. (1396). 'Assessment of Geostatistical Methods for Determining Distribution Patterns of Groundwater Resources in Sari-Neka Coastal Plain, Northern Iran', , 5(2), pp. 124-134. doi: 10.22069/ijerr.2017.3870
Khosravi, Khabat, Nejad Roshan, Mahmoud Habib, Safari, Atta. Assessment of Geostatistical Methods for Determining Distribution Patterns of Groundwater Resources in Sari-Neka Coastal Plain, Northern Iran. , 1396; 5(2): 124-134. doi: 10.22069/ijerr.2017.3870

Assessment of Geostatistical Methods for Determining Distribution Patterns of Groundwater Resources in Sari-Neka Coastal Plain, Northern Iran

Environmental Resources Research
مقاله 2، دوره 5، شماره 2، مهر 2017، صفحه 124-134    اصل مقاله (620.16 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22069/ijerr.2017.3870
نویسندگان
Khabat Khosravi1؛ Mahmoud Habib Nejad Roshan2؛ Atta Safari2
1Department of Watershed Management, Sari Agricultural Sciences and Natural Resources University, Sari, I
2Department of Watershed Management, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
چکیده
This study aimed to evaluate the temporal change and accuracy of interpolation techniques
used for spatial zonation of two groundwater quantity parameters including water table and
depth to water table over 11 years. The study was conducted based on the data collected
from piezometric wells of Sari-Neka Plain in Mazandaran Province, Iran. The investigated
methods included a set of geostatistical approaches involving simple Kriging, ordinary
Kriging, Radial Basis Function (RBF), and a deterministic interpolation method called
Inverse Distance Weighting (IDW) with powers of 1 and 5. Subsequent to quality control
and data normalization, the most appropriate variogram was chosen based on low RSS and
high r2 while the most suitable interpolation technique was determined regarding the cross
validation, Mean Absolute Error (MAE), and Mean Bias Error (MBE). The results
demonstrated that Simple Kriging was the most suitable method for zoning the depth to
groundwater over the years 2001, 2006, and 2012. Meanwhile, the most suitable methods
for zoning the water table included IDW with a power of 1for the year 2001, RBF for the
year 2006, and IDW with a power of 5 for the year 2012. The important finding was that
the interpolation methods showed a lower error for estimating water table than estimating
depth to groundwater. This study also revealed a drop in water table in the study area over
the 11 years’ period. Meanwhile, new water table classes have been added and extended
between the years 2006 and 2012 that had not existed five years earlier. The highest water
table losses were observed in three points at 13m depth to water table in the middle and
northern parts of the study area.
کلیدواژه‌ها
Interpolation Methods؛ Variogram؛ Geostatistics؛ Groundwater؛ MAE؛ MBE
مراجع
Abdi, P., and Amini, A. 2002. Management of groundwater resources in arid and semi-arid regions using geophysical data and GIS (Case study: Zanjan Plain). Conference on Application of Remote Sensing and GIS, Tehran (In Persian). 
Aguilar, F.J., Aguera, F., Aguilar, M.A., and Carvajal, F. 2005. Effects of terrain morphology, sampling density, and interpolation methods on grid DEM accuracy. Photogramm. Eng. Rem. S. 71, 805–816.
Alizadeh, A .2003. Principles of applied hydrology. 14th edn. Imam Reza Press. 712 pp (In Persian).
Arsalan, H., and Ayyildiz Turan, N. 2015. Estimation of spatial distribution of heavy metals in groundwater using interpolation methods and multivariate statistical techniques; its suitability for drinking and irrigation purposes in the Middle Black Sea Region of Turkey. Environmental Monitoring and Assessment, 187(8),516-521
Collins, F.C. 1996. A comparison of spatial interpolation techniques in temperature estimation. In: Proceedings of the Third International Conference/Workshop on Integrating GIS and Environmental Modeling Santa Barbara, January 21–26.
Data, P.S., Deb, D.L., and Tygi, S.K. 1997. Assessment of groundwater contamination from fertilizers in the Delhi area based on O18, No3 and K composition. Microchemical Journal, 64, 112-120.
Deutsch, C.V., and Journel, A.G. 1998. GSLib (Geostatistical software library and user's guide). Oxford: Oxford University Press.
Dick, J.B., and Gerard, B.M.H. 2006. Optimization of sample patterns for universal kriging of environmental variables. Geoderma, 138, 86-95.
Fahid, K.J., Rabah, Said M. Ghabayen and Ali A. Salha, 2011. Effect of GIS Interpolation Techniques on the Accuracy of the Spatial Representation of Groundwater Monitoring Data in Gaza Strip. Journal of Environmental Science and Technology, 4, 579-589.
Fang, S.M., Qian, Z.T., and Li, Y.P. 2005. Comparison of four precipitation spatial inter- polation methods in Gansu. Journal of Arid Land Resources and Environment, 19(3), 47–50.
Feng, J.M., Zhao, T.B., and Hang, Y.J. 2004. Intercomparison of spatial interpolation based on observed precipitation data. Climatic and Environmental Research, 9 (2), 261–277.
Ghomshion, M. 2010. Spatial prediction of groundwater resources quality and quantity in Semnan/Sorkheh Plain using geostatistical techniques. MSc Thesis, Semnan University. 127 pp (In Persian).
Hamidianpour, M., Saligheh, M., and Fallah Qolhary, G.A. 2013. Applying a variety of interpolation methods for monitoring and spatial analysis of drought in Khorasan Razavi province. Geography and Development, 30, 57-70 (In Persian).
Hassani Pak, A. 2010. Geostatistics (3rd edition), Tehran University Press, 314 pp. (In Persian)
Hutchinson, M.F. 1995. Interpolating mean rainfall using thin plate smoothing splines. International Journal of Geographical Information Systems, 9, 385–403.
Kelinhu, U., H., Yuangfang, L., Hong Li, Ch., Deli Chan., and Robert Edlin, D. 2005. Spatial variability of shallow groundwater level, electrical conductivity and nitrate concentration and risk assessment of nitrate contamination in North China Plain. Enviroment International, 31, 893-903.
Kenneth, K.E. 1996. Conceptualization and characterization of groundwater systems using geographic information systems. Engineering Geology, 42 (2–3), 111–118.
Khazaz, L., Jarar Oulidi, H., El Moutaki, S., and Ghafiri, A. 2015. Comparing and Evaluating Probabilistic and Deterministic Spatial Interpolation Methods for Groundwater Level of Haouz in Morocco, Journal of Geographic Information System, 7, 631-642
Khosravi, K. 2012. Groundwater vulnerability assessment using DRASTIC method based on GIS in Dasht-e Dehgolan. MS thesis. Department of Watershed Management, University of Agricultural Sciences and Natural Resources of Sari, 95 pages (In Persian).
Li, X.Y., Song, D.M., and Xiao, D.N. 2005. The variability of groundwater mineralization in Minqin oasis. Acta Geographica Sinica. 60 (2), 319–327.
Mahdavi, M. 2005. Applied Hydrology.Vol. 2, Tehran University press. 440 pp (In Persian).
Mirzaei, R., and Sakizadeh, M. 2016. Comparison of interpolation methods for the estimation of groundwater contamination in Andimeshk-Shush Plain, Southwest of Iran. Environmental Science and Pollution Research, 23(3), 2758-2769.
Moradi, M., Gharfard, H., Khourani, A., and Mahmoudinejad, V. 2011. Evaluation of different interpolation methods in zonation of groundwater salinity using Cross-Validation technique (Case Study: Shahr-e Kord Plain). Iran Remote Sensing and GIS, 3 (1), 35-44 (In Persian).
Nikroo, L., Kompani-Zare, M., Sepaskhah, A.R., and Shamsi, S.R. 2010. Groundwater depth and elevation interpolation by kriging methods in Mohr Basin of Fars province in Iran. Environmental Monitoring and Assessment, 166(1), 387-407.
Owsati, Kh., Salajegheh, A., and Arekhi, S. 2011. Spatial variability of nitrate concentration in groundwater using geostatistical methods in Dasht-e Kordan. Journal of Range and Watershed Management. 65 (4), 461-472 (In Persian).
Shamsaie, A. 2002. Hydraulic flow in porous media. Volume II, Groundwater Engineering. Publishing Center, Amirkabir University of Technology, Chapter IX, p 471-511 (In Persian).
Shepard, D. 1968. A Two-dimensional Interpolation Function for Irregularly-spaced Data. ACM New York, NY, USA.
Sun, A., Shaozhong Kang, A., Li, F., and Zhang, L. 2009. Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the Minqin oasis of northwest China. J. Environ. Model. And Software, 24, 1163–1170.
Tewolde, G.T., Beza, T.A., Costa, A.C., and Painho, M. 2010. Comparison of Different interpolation techniques to map temperature in the southern region of Eritrea. International Conference on Geographic Information Science (AGILE), Guimaraes, Portugal.
Vijay, K., and Remadevi, J. 2006. Kriging of groundwater levels (a case study). Journal of Spatial Hydrology, 1, 81-92.
Wang, J.L., Sun, J.S., and Zhang, J.Y. 2004. Crop water requirement isoline based on GIS and geostatistics. Transactions of the CSAE 20(5), 51–54
Webster, R., and Oliver, M.A. 2007. Geostatistics for Environmental Scientists, Second Edition, John Wiley & Sons, Ltd.
Wei, J.H., Wang, G.Q., Li, C.J., and Shao, J.L. 2003. Recent advances associated with GIS in groundwater resources research, (2), 94–98.
Xie, Y., Chen, T.B., Lei, M., Yang, J., Guo, Q.J., Song, B., and Zhou, X. 2011. Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: Accuracy and uncertainty analysis, Chemosphere, 82, 468–476.
Xu, Y.Q., and Cai, Y.L. 2005. GIS-based analysis on spatial-temporal change of ground- water level in the Hebei Plain. Acta Scientiarum Naturalium Universitatis Pekinensis, 41(2), 265–272. 
Yao, L., Huo, Z., Feng, S., Mao, X., Kang, S., Chen, J., Xu, J., and Tammos, S. 2014. Evaluation of spatial interpolation methods for groundwater level in an arid inland oasis, Northwest China, 71(4),1911-1924.

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