Assessment and estimation the spatial variation of groundwater level by various interpolation methods in Sarab plain

Sarab plain is one of the fertile plains of East Azarbayjan, NW Iran, where inhabitant’s economy is based on agriculture and ranch. Here, farmers exploit groundwater as supplement of surface water to irrigate their fields due to dominance of arid conditions and low precipitation. This study aimed to...

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Main Authors: Fariba Esfandyary, Mortaza Gharachorlu, Elahmeh Ebadi
Format: Article
Language:fas
Published: University of Sistan and Baluchestan 2018-06-01
Series:جغرافیا و توسعه
Subjects:
Online Access:https://gdij.usb.ac.ir/article_3860_f1da404cfad841849fd954ae7aa2bcc7.pdf
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author Fariba Esfandyary
Mortaza Gharachorlu
Elahmeh Ebadi
author_facet Fariba Esfandyary
Mortaza Gharachorlu
Elahmeh Ebadi
author_sort Fariba Esfandyary
collection DOAJ
description Sarab plain is one of the fertile plains of East Azarbayjan, NW Iran, where inhabitant’s economy is based on agriculture and ranch. Here, farmers exploit groundwater as supplement of surface water to irrigate their fields due to dominance of arid conditions and low precipitation. This study aimed to achieve the accurate method for estimating the spatial variations of groundwater level by comparison the different interpolation methods over the plain. Data include the sample data collected from 50 wells and interpolation methods include Inverse Distance Weighted (IDW), Radial Basis Functions (RBF) and Kriging. The methods were compared in terms of accuracy and efficiency by cross validation method, mean bias error (MBE), root mean square error (RMSE) and square of correlation coefficient (R2) between estimate and observed rates. Finally, the results showed that Kriging method (Rational Quadratic model) was the most efficient and accurate model among tested models for estimation of the groundwater level in the study area, having lowest estimation error (RMSE= 9/79) and highest square of the correlation coefficient between estimate and observed rates (R2= 0/31). So, Kriging method was proposed as optimal method for zoning the groundwater level over the area. This fact can related to considering the spatial distribution and structure of data by Kriging method. According to the zoning maps, the groundwater level in southern section is higher than other sections over the plain. So, it must be more attention to the southern section regarding the optimal management of the groundwater resources.
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spelling doaj.art-651a45f17ff343fd90716b9ee4471e152023-06-13T20:22:34ZfasUniversity of Sistan and Baluchestanجغرافیا و توسعه1735-07352676-77912018-06-011651658010.22111/gdij.2018.38603860Assessment and estimation the spatial variation of groundwater level by various interpolation methods in Sarab plainFariba Esfandyary0Mortaza Gharachorlu1Elahmeh Ebadi2دانشیار جغرافیا طبیعی، دانشگاه محقق اردبیلی، اردبیل، ایراندانشجوی دکتری ژئومورفولوژی، دانشگاه محقق اردبیلی، اردبیل، ایراندانش‌آموختۀ کارشناسی ارشد هیدروژئومورفولوژی، دانشگاه محقق اردبیلی، اردبیل، ایرانSarab plain is one of the fertile plains of East Azarbayjan, NW Iran, where inhabitant’s economy is based on agriculture and ranch. Here, farmers exploit groundwater as supplement of surface water to irrigate their fields due to dominance of arid conditions and low precipitation. This study aimed to achieve the accurate method for estimating the spatial variations of groundwater level by comparison the different interpolation methods over the plain. Data include the sample data collected from 50 wells and interpolation methods include Inverse Distance Weighted (IDW), Radial Basis Functions (RBF) and Kriging. The methods were compared in terms of accuracy and efficiency by cross validation method, mean bias error (MBE), root mean square error (RMSE) and square of correlation coefficient (R2) between estimate and observed rates. Finally, the results showed that Kriging method (Rational Quadratic model) was the most efficient and accurate model among tested models for estimation of the groundwater level in the study area, having lowest estimation error (RMSE= 9/79) and highest square of the correlation coefficient between estimate and observed rates (R2= 0/31). So, Kriging method was proposed as optimal method for zoning the groundwater level over the area. This fact can related to considering the spatial distribution and structure of data by Kriging method. According to the zoning maps, the groundwater level in southern section is higher than other sections over the plain. So, it must be more attention to the southern section regarding the optimal management of the groundwater resources.https://gdij.usb.ac.ir/article_3860_f1da404cfad841849fd954ae7aa2bcc7.pdfgrounwater levelinterpolationalgebraic modelsgeo-statistical modelssarab plain
spellingShingle Fariba Esfandyary
Mortaza Gharachorlu
Elahmeh Ebadi
Assessment and estimation the spatial variation of groundwater level by various interpolation methods in Sarab plain
جغرافیا و توسعه
grounwater level
interpolation
algebraic models
geo-statistical models
sarab plain
title Assessment and estimation the spatial variation of groundwater level by various interpolation methods in Sarab plain
title_full Assessment and estimation the spatial variation of groundwater level by various interpolation methods in Sarab plain
title_fullStr Assessment and estimation the spatial variation of groundwater level by various interpolation methods in Sarab plain
title_full_unstemmed Assessment and estimation the spatial variation of groundwater level by various interpolation methods in Sarab plain
title_short Assessment and estimation the spatial variation of groundwater level by various interpolation methods in Sarab plain
title_sort assessment and estimation the spatial variation of groundwater level by various interpolation methods in sarab plain
topic grounwater level
interpolation
algebraic models
geo-statistical models
sarab plain
url https://gdij.usb.ac.ir/article_3860_f1da404cfad841849fd954ae7aa2bcc7.pdf
work_keys_str_mv AT faribaesfandyary assessmentandestimationthespatialvariationofgroundwaterlevelbyvariousinterpolationmethodsinsarabplain
AT mortazagharachorlu assessmentandestimationthespatialvariationofgroundwaterlevelbyvariousinterpolationmethodsinsarabplain
AT elahmehebadi assessmentandestimationthespatialvariationofgroundwaterlevelbyvariousinterpolationmethodsinsarabplain