Potential detection of the groundwater resources using analytic network process in geographic information system (Case study: Basins leading to Tabriz Plain)

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REZAEI MOGHADDAM MOHAMMAD HOSSEIN; Rahimpour Tohid; Nakhostin Rouhi Mahsa

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Journal: IRANIAN JOURNAL OF ECOHYDROLOGY Year:2016 | Volume:3 | Issue:3 Page(s): 379-389

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Title

Potential detection of the groundwater resources using analytic network process in geographic information system (Case study: Basins leading to Tabriz Plain)

Author(s)

REZAEI MOGHADDAM MOHAMMAD HOSSEIN | Rahimpour Tohid | Nakhostin Rouhi Mahsa | Issue Writer Certificate

Keywords

Analytic Network ProcessQ2

basins leading to Tabriz plainQ2

Geographic Information SystemQ2

groundwaterQ2

potential detectionQ2

Abstract

basins leading to Tabriz plain are part of the sub-basins of Urmia Lake basin, which is located in the east Azerbaijan province and in the north-western part of Iran. The area of this basin is 5397 km2, and Agriculture is one of the main sources of income for the people, which is dependent on groundwater and surface water resources. In this study, an attempt was made to investigate the basins leading to Tabriz plain in terms of potential detection of the groundwater resources using GIS. To achieve this aim, Analytic Network Process and relationships between climate, hydrology, geology, topology, and environmental criteria were applied. Weights of criteria were calculated by analytic network method: geology (0. 267), precipitation (0. 208), stream density (0. 130), vegetation cover (0. 119), distance from stream (0. 076), fault density (0. 054), slope (0. 042), distance from fault (0. 034), elevation classes (0. 028), aspect (0. 019), and temperature (0. 018). Finally, 5 potential classes including, very high, high, moderate, low, and very low were identified in the study area. The results of the study indicated that regions with high and very high potential often correspond with low elevations and alluvial large grain sediments of fourth era and fans. Also, low and very low potential regions respectively correspond with maximum heights (due to steep slope), and marl and shale regions (due to very low penetrance and high evaporation).

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APA: Copy

REZAEI MOGHADDAM, MOHAMMAD HOSSEIN, Rahimpour, Tohid, & Nakhostin Rouhi, Mahsa. (2016). Potential detection of the groundwater resources using analytic network process in geographic information system (Case study: Basins leading to Tabriz Plain). IRANIAN JOURNAL OF ECOHYDROLOGY, 3(3 ), 379-389. SID. https://sid.ir/paper/254287/en

Vancouver: Copy

REZAEI MOGHADDAM MOHAMMAD HOSSEIN, Rahimpour Tohid, Nakhostin Rouhi Mahsa. Potential detection of the groundwater resources using analytic network process in geographic information system (Case study: Basins leading to Tabriz Plain). IRANIAN JOURNAL OF ECOHYDROLOGY[Internet]. 2016;3(3 ):379-389. Available from: https://sid.ir/paper/254287/en

IEEE: Copy

MOHAMMAD HOSSEIN REZAEI MOGHADDAM, Tohid Rahimpour, and Mahsa Nakhostin Rouhi, “Potential detection of the groundwater resources using analytic network process in geographic information system (Case study: Basins leading to Tabriz Plain),” IRANIAN JOURNAL OF ECOHYDROLOGY, vol. 3, no. 3 , pp. 379–389, 2016, [Online]. Available: https://sid.ir/paper/254287/en

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