Evaluation of different geostatistical methods based on GIS for predicting and zoning salinity invasion of aquifers of West Azarbaijan
In coastal aquifers, infiltration and internal extending seawater is the most common reason for the increased salinity. Locating adjacent to the hypersaline lake and a sharp drop in groundwater in the region has exposed West Azerbaijan Province to salinity invasion. In this study, geostatistical met...
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Iranian Rainwater Catchment Systems Association
2016-07-01
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Series: | محیط زیست و مهندسی آب |
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Online Access: | http://www.jewe.ir/article_17575_de72146061d10a52cf953e775faa2a39.pdf |
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author | Tohid Aligholinia Negar Rasouli Majd Hossein Rezaie |
author_facet | Tohid Aligholinia Negar Rasouli Majd Hossein Rezaie |
author_sort | Tohid Aligholinia |
collection | DOAJ |
description | In coastal aquifers, infiltration and internal extending seawater is the most common reason for the increased salinity. Locating adjacent to the hypersaline lake and a sharp drop in groundwater in the region has exposed West Azerbaijan Province to salinity invasion. In this study, geostatistical methods with various models were used to evaluate the effects of the salinity invasion toward the groundwater aquifers in West Azerbaijan. In order to analyze the interpolation methods, the kriging, cokriging, and inverse distance weight (IDW) with weighted variables and without weighted variables were used. To assess the accuracy of the developed models of geostatistical estimator, the coefficient of determination (R2), root square error (RMSE), and mean bias error (MBE) were used. Based on the results of this study, it was found that spherical kriging model, the spherical cokrigings model with Ca auxiliary, Model 2 in IDW method and Model 2 with HCO3 as variable weighted in IDW method were selected as the best models. Among the methods used for interpolation of salinity invasion in the study area, cokriging method showed the lowest error. Comparison of the zoning maps of salinity invasion showed that IDW model was sensitive to minimum and maximum values and showed those values in wider area in the study area. However, kriging and cokriging models are more accurate and perform the zoning with more accuracy. |
first_indexed | 2024-03-13T00:26:54Z |
format | Article |
id | doaj.art-3cdc2249f3854195ba9f4759f7094de5 |
institution | Directory Open Access Journal |
issn | 2476-3683 |
language | fas |
last_indexed | 2024-03-13T00:26:54Z |
publishDate | 2016-07-01 |
publisher | Iranian Rainwater Catchment Systems Association |
record_format | Article |
series | محیط زیست و مهندسی آب |
spelling | doaj.art-3cdc2249f3854195ba9f4759f7094de52023-07-11T04:41:24ZfasIranian Rainwater Catchment Systems Associationمحیط زیست و مهندسی آب2476-36832016-07-012216217617575Evaluation of different geostatistical methods based on GIS for predicting and zoning salinity invasion of aquifers of West AzarbaijanTohid Aligholinia0Negar Rasouli Majd1Hossein Rezaie2MSc. Student of Water Engineering (Irrigation and Drainage), Faculty of Water Engineering. Urmia University, Urmia, IranPhD Student of Water Management Engineering, Faculty of water Engineering. Urmia University, Urmia, IranAssociate Prof., Faculty of water Engineering. Urmia University, Urmia, IranIn coastal aquifers, infiltration and internal extending seawater is the most common reason for the increased salinity. Locating adjacent to the hypersaline lake and a sharp drop in groundwater in the region has exposed West Azerbaijan Province to salinity invasion. In this study, geostatistical methods with various models were used to evaluate the effects of the salinity invasion toward the groundwater aquifers in West Azerbaijan. In order to analyze the interpolation methods, the kriging, cokriging, and inverse distance weight (IDW) with weighted variables and without weighted variables were used. To assess the accuracy of the developed models of geostatistical estimator, the coefficient of determination (R2), root square error (RMSE), and mean bias error (MBE) were used. Based on the results of this study, it was found that spherical kriging model, the spherical cokrigings model with Ca auxiliary, Model 2 in IDW method and Model 2 with HCO3 as variable weighted in IDW method were selected as the best models. Among the methods used for interpolation of salinity invasion in the study area, cokriging method showed the lowest error. Comparison of the zoning maps of salinity invasion showed that IDW model was sensitive to minimum and maximum values and showed those values in wider area in the study area. However, kriging and cokriging models are more accurate and perform the zoning with more accuracy.http://www.jewe.ir/article_17575_de72146061d10a52cf953e775faa2a39.pdfgeographical information systemland statisticskrigingsoviet invasion comparedidw |
spellingShingle | Tohid Aligholinia Negar Rasouli Majd Hossein Rezaie Evaluation of different geostatistical methods based on GIS for predicting and zoning salinity invasion of aquifers of West Azarbaijan محیط زیست و مهندسی آب geographical information system land statistics kriging soviet invasion compared idw |
title | Evaluation of different geostatistical methods based on GIS for predicting and zoning salinity invasion of aquifers of West Azarbaijan |
title_full | Evaluation of different geostatistical methods based on GIS for predicting and zoning salinity invasion of aquifers of West Azarbaijan |
title_fullStr | Evaluation of different geostatistical methods based on GIS for predicting and zoning salinity invasion of aquifers of West Azarbaijan |
title_full_unstemmed | Evaluation of different geostatistical methods based on GIS for predicting and zoning salinity invasion of aquifers of West Azarbaijan |
title_short | Evaluation of different geostatistical methods based on GIS for predicting and zoning salinity invasion of aquifers of West Azarbaijan |
title_sort | evaluation of different geostatistical methods based on gis for predicting and zoning salinity invasion of aquifers of west azarbaijan |
topic | geographical information system land statistics kriging soviet invasion compared idw |
url | http://www.jewe.ir/article_17575_de72146061d10a52cf953e775faa2a39.pdf |
work_keys_str_mv | AT tohidaligholinia evaluationofdifferentgeostatisticalmethodsbasedongisforpredictingandzoningsalinityinvasionofaquifersofwestazarbaijan AT negarrasoulimajd evaluationofdifferentgeostatisticalmethodsbasedongisforpredictingandzoningsalinityinvasionofaquifersofwestazarbaijan AT hosseinrezaie evaluationofdifferentgeostatisticalmethodsbasedongisforpredictingandzoningsalinityinvasionofaquifersofwestazarbaijan |