SPATIAL ANALYSIS OF CHEMICAL PARAMETERS AFFECTING GROUNDWATER QUALITY USING FACTOR ANALYSIS AND GEOSTATISTICAL METHODS (CASE STUDY: BAYZA-ZARGHAN PLAIN)

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BEHZADI KARIMI H.; OMIDVAR K.

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Journal: Journal of RS and GIS for Natural Resources Year:2018 | Volume:8 | Issue:4 (29) Page(s): 17-35

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Title

SPATIAL ANALYSIS OF CHEMICAL PARAMETERS AFFECTING GROUNDWATER QUALITY USING FACTOR ANALYSIS AND GEOSTATISTICAL METHODS (CASE STUDY: BAYZA-ZARGHAN PLAIN)

Author(s)

BEHZADI KARIMI H. | OMIDVAR K. | Issue Writer Certificate

Keywords

GROUNDWATER QUALITY PARAMETERSQ1

FACTOR ANALYSIS (FA)Q1

GEOSTATISTICAL METHODSQ1

BAYZA-ZARGHAN PLAINQ1

FARS PROVINCEQ2

Abstract

The aim of this study was to determine the most important variables affecting the quality of groundwater in the BAYZA-ZARGHAN PLAIN by using factor analysis technique and estimation of spatial distribution of quality parameters in ArcGIS software. Data of 12 water quality parameters related to 27 wells were collected in summer, 2013. After normalizing the data, using factor analysis (FA), of hardness, salinity and water acidity, that accounted for 90% of the total variance in the data. The share of variables in each factor was determined after Varimax rotation, and two parameters with the most significant correlation with its factor was determined for each factor. The first factor, TH and Mg, the second factor, SAR and Na, and the third factor, pH and HCO3 were selected as the most important parameters in groundwater quality in the region. The results of definitive and GEOSTATISTICAL METHODS for estimating the above parameters were analyzed using the statistical criterion of RMSe. The results showed that for all variables other than pH, COKriging method is the most appropriate method. For TH and Mg, the G-Bessel model, for SAR and Na, the Rational-Quadratic model, for HCO3, the Exponential model, and for pH, the IDW model with power 1, had a lower error and increased the accuracy of the prediction significantly. Spatial zoning maps for the quality parameters indicated that TH, Mg, SAR and Na parameters reach the highest density in the southeast and the lowest density in the north of the plain. The pH changes show that its value is higher in the Banish area in north of the plain than in other areas. And in terms of HCO3, the northeastern and southern regions of the region are in poor condition.

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APA: Copy

BEHZADI KARIMI, H., & OMIDVAR, K.. (2018). SPATIAL ANALYSIS OF CHEMICAL PARAMETERS AFFECTING GROUNDWATER QUALITY USING FACTOR ANALYSIS AND GEOSTATISTICAL METHODS (CASE STUDY: BAYZA-ZARGHAN PLAIN). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 8(4 (29) ), 17-35. SID. https://sid.ir/paper/189491/en

Vancouver: Copy

BEHZADI KARIMI H., OMIDVAR K.. SPATIAL ANALYSIS OF CHEMICAL PARAMETERS AFFECTING GROUNDWATER QUALITY USING FACTOR ANALYSIS AND GEOSTATISTICAL METHODS (CASE STUDY: BAYZA-ZARGHAN PLAIN). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2018;8(4 (29) ):17-35. Available from: https://sid.ir/paper/189491/en

IEEE: Copy

H. BEHZADI KARIMI, and K. OMIDVAR, “SPATIAL ANALYSIS OF CHEMICAL PARAMETERS AFFECTING GROUNDWATER QUALITY USING FACTOR ANALYSIS AND GEOSTATISTICAL METHODS (CASE STUDY: BAYZA-ZARGHAN PLAIN),” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 8, no. 4 (29) , pp. 17–35, 2018, [Online]. Available: https://sid.ir/paper/189491/en

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