Geostatistical Evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain Aquifer

Groundwater is the main source of drinking water in the semi-arid regions of Iran. Therefore, monitoring the quality of this valuable resource is vital. Hence, the purpose of this study was to investigate and prepare a groundwater quality map of Birjand located in the semi-arid region of eastern Ira...

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Main Authors: Mobin Eftekhari, Seyed Ahmad Eslaminezhad, Ali Haji Elyasi, Mohammad Akbari
Format: Article
Language:fas
Published: Iranian Rainwater Catchment Systems Association 2021-06-01
Series:محیط زیست و مهندسی آب
Subjects:
Online Access:http://www.jewe.ir/article_128636_00c7b61cdf0bc5e8a8fa4f7fd5e65205.pdf
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author Mobin Eftekhari
Seyed Ahmad Eslaminezhad
Ali Haji Elyasi
Mohammad Akbari
author_facet Mobin Eftekhari
Seyed Ahmad Eslaminezhad
Ali Haji Elyasi
Mohammad Akbari
author_sort Mobin Eftekhari
collection DOAJ
description Groundwater is the main source of drinking water in the semi-arid regions of Iran. Therefore, monitoring the quality of this valuable resource is vital. Hence, the purpose of this study was to investigate and prepare a groundwater quality map of Birjand located in the semi-arid region of eastern Iran using GIS-based geostatistical analysis with Drinking Groundwater Quality Index (DGWQI). For this purpose, the collected groundwater quality data of 27 agricultural wells during the years 2014-2019 were used. The results of spatial analysis show that 63% of the aquifer area was in the appropriate quality category, 18% in the poor category, 10% in the very poor category and 9% of the aquifer area was in the non-drinking category. Sensitivity analysis indicated that Mg2+, EC, and TDS parameters with the highest mean change index of 18.98, 20.68 and 19.04 were the most sensitive parameters in calculating DGWQI, respectively. Error evaluation calculated by R2 and RMSE methods on conventional kriging and spherical variogram models showed good performance for spatial analysis of all parameters including DGWQI, Mg2+, EC, and TDS. The DGWQI map shows that the western and southwestern parts of the aquifer do not have good quality conditions for extracting drinking water.
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spelling doaj.art-3aaa21e758a14090a0beef308fa077e32023-07-11T04:46:48ZfasIranian Rainwater Catchment Systems Associationمحیط زیست و مهندسی آب2476-36832021-06-017226727810.22034/jewe.2021.256731.1464128636Geostatistical Evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain AquiferMobin Eftekhari0Seyed Ahmad Eslaminezhad1Ali Haji Elyasi2Mohammad Akbari3M.Sc. Alumni, Department of Civil Engineering, Water and Hydraulic, Faculty of Engineering, Mashhad Branch, Islamic Azad University, Mashhad, IranMSc. Alumni, Department of Surveying Engineering, Faculty of Surveying Engineering and Spatial Information, University of Tehran, Tehran, IranPh.D. Scholar, Department of Civil Engineering, Faculty of Engineering, science and research Branch, Islamic Azad University, Tehran, IranAssist. Professor, Department of Civil Engineering, Faculty of Engineering, University of Birjand, Birjand, IranGroundwater is the main source of drinking water in the semi-arid regions of Iran. Therefore, monitoring the quality of this valuable resource is vital. Hence, the purpose of this study was to investigate and prepare a groundwater quality map of Birjand located in the semi-arid region of eastern Iran using GIS-based geostatistical analysis with Drinking Groundwater Quality Index (DGWQI). For this purpose, the collected groundwater quality data of 27 agricultural wells during the years 2014-2019 were used. The results of spatial analysis show that 63% of the aquifer area was in the appropriate quality category, 18% in the poor category, 10% in the very poor category and 9% of the aquifer area was in the non-drinking category. Sensitivity analysis indicated that Mg2+, EC, and TDS parameters with the highest mean change index of 18.98, 20.68 and 19.04 were the most sensitive parameters in calculating DGWQI, respectively. Error evaluation calculated by R2 and RMSE methods on conventional kriging and spherical variogram models showed good performance for spatial analysis of all parameters including DGWQI, Mg2+, EC, and TDS. The DGWQI map shows that the western and southwestern parts of the aquifer do not have good quality conditions for extracting drinking water.http://www.jewe.ir/article_128636_00c7b61cdf0bc5e8a8fa4f7fd5e65205.pdfkrigingvariogramsensitivity analysiszoning
spellingShingle Mobin Eftekhari
Seyed Ahmad Eslaminezhad
Ali Haji Elyasi
Mohammad Akbari
Geostatistical Evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain Aquifer
محیط زیست و مهندسی آب
kriging
variogram
sensitivity analysis
zoning
title Geostatistical Evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain Aquifer
title_full Geostatistical Evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain Aquifer
title_fullStr Geostatistical Evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain Aquifer
title_full_unstemmed Geostatistical Evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain Aquifer
title_short Geostatistical Evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain Aquifer
title_sort geostatistical evaluation with drinking groundwater quality index dgwqi in birjand plain aquifer
topic kriging
variogram
sensitivity analysis
zoning
url http://www.jewe.ir/article_128636_00c7b61cdf0bc5e8a8fa4f7fd5e65205.pdf
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AT alihajielyasi geostatisticalevaluationwithdrinkinggroundwaterqualityindexdgwqiinbirjandplainaquifer
AT mohammadakbari geostatisticalevaluationwithdrinkinggroundwaterqualityindexdgwqiinbirjandplainaquifer