SPATIO-TEMPORAL VARIABILITY ANALYSIS OF GROUNDWATER SALINITY AND DEPTH (CASE STUDY: MAZANDARAN PROVINCE)

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DELBARI M.; AFRASIAB P.; MIREMADI S.R.

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Journal: Iranian Journal of Irrigation and Drainage Year:2011 | Volume:4 | Issue:3 Page(s): 359-374

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Title

SPATIO-TEMPORAL VARIABILITY ANALYSIS OF GROUNDWATER SALINITY AND DEPTH (CASE STUDY: MAZANDARAN PROVINCE)

Author(s)

DELBARI M. | AFRASIAB P. | MIREMADI S.R. | Issue Writer Certificate

Keywords

GROUNDWATER SALINITYQ2

GROUNDWATER DEPTHQ2

KRIGINGQ2

COKRIGINGQ2

INVERSE DISTANCE WEIGHTINGQ2

MAZANDARAN PROVINCEQ2

Abstract

Groundwater resources are very important for agriculture. In this study the spatial variability of GROUNDWATER SALINITY for two years (2002 and 2007) and GROUNDWATER DEPTH for four years (1987, 1997, 2002 and 2007) was investigated using geostatistical methods in MAZANDARAN PROVINCE. The interpolation methods were ordinary KRIGING and COKRIGING, and inverse distance weighing with distance power of 1 to 4. The performance of the prediction methods was evaluated though cross-validation with comparison criteria of root mean square error (RMSE) and mean bias error (MBE). The statistical analysis showed that GROUNDWATER SALINITY and especially GROUNDWATER DEPTH have a large variance and coefficient of variation. The average GROUNDWATER DEPTH increased from 1987 to 2007 and the average GROUNDWATER SALINITY decreased from 2002 to 2007. The geostatistical analyses showed that the GROUNDWATER SALINITY and depth are highly spatially correlated. The spatial structure of GROUNDWATER SALINITY and depth follow an exponential and spherical model, respectively. The results of crossvalidation indicated that the best interpolator for salinity estimation is inverse distance weighing with distance power of 1. For estimating GROUNDWATER DEPTH, inverse distance weighing with distance power 3 for 1987, ordinary KRIGING and COKRIGING with similar accuracy for 1997 and COKRIGING for 2002 and 2007 achieved the best results. The prediction map of GROUNDWATER SALINITY showed that the salinity was increased from west to east. Based on the map of GROUNDWATER DEPTH, south and southeast regions have the highest depth of groundwater. In addition to estimation map, KRIGING methods were able to present the map of estimation variance for GROUNDWATER DEPTH. These maps showed that the estimation uncertainty is smaller at sampling location and for nearby samples, and is larger as samples are more distant or where there is no samples. Therefore, when it is necessary to present the estimation uncertainty rather than estimation only, KRIGING should be preferred to inverse distance weighing.

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APA: Copy

DELBARI, M., AFRASIAB, P., & MIREMADI, S.R.. (2011). SPATIO-TEMPORAL VARIABILITY ANALYSIS OF GROUNDWATER SALINITY AND DEPTH (CASE STUDY: MAZANDARAN PROVINCE) . IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 4(3), 359-374. SID. https://sid.ir/paper/131500/en

Vancouver: Copy

DELBARI M., AFRASIAB P., MIREMADI S.R.. SPATIO-TEMPORAL VARIABILITY ANALYSIS OF GROUNDWATER SALINITY AND DEPTH (CASE STUDY: MAZANDARAN PROVINCE) . IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2011;4(3):359-374. Available from: https://sid.ir/paper/131500/en

IEEE: Copy

M. DELBARI, P. AFRASIAB, and S.R. MIREMADI, “SPATIO-TEMPORAL VARIABILITY ANALYSIS OF GROUNDWATER SALINITY AND DEPTH (CASE STUDY: MAZANDARAN PROVINCE) ,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 4, no. 3, pp. 359–374, 2011, [Online]. Available: https://sid.ir/paper/131500/en

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