Local analysis of areas prone to artificial feeding of underground water resources in the Rozae Chai River catchment of Urmia

Hasanzadeh, Mehdi; Haghdoust Ghahramanlou, Noorali; Hessari, Behzad

doi:10.61186/jehe.12.2.152

Volume 12, Issue 2 (3-2025) J Environ Health Eng 2025, 12(2): 152-170 | Back to browse issues page

‎ 10.61186/jehe.12.2.152

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Hasanzadeh M, Haghdoust Ghahramanlou N, Hessari B. Local analysis of areas prone to artificial feeding of underground water resources in the Rozae Chai River catchment of Urmia. J Environ Health Eng 2025; 12 (2) :152-170
URL: http://jehe.abzums.ac.ir/article-1-1061-en.html

Local analysis of areas prone to artificial feeding of underground water resources in the Rozae Chai River catchment of Urmia

Mehdi Hasanzadeh ^*

, Noorali Haghdoust Ghahramanlou

, Behzad Hessari

M.Sc Student Water structures, Department of Science and Water Engineering, Faculty of Agriculture, Urmia University, Urmia, Iran

Abstract: (391 Views)

Background: In recent decades, the growing population, increasing human needs, and changing consumption patterns necessitate more effective planning and management of water resources. Key strategies for managing groundwater include artificial recharge and sustainable exploitation of aquifers. The aim of this study was to local analysis of areas prone to artificial feeding of underground water resources in the Rozae Chai River catchment of Urmia According to the Analytic Hierarchy Process (AHP), there were 8 layers, namely surface permeability, unsaturated zone thickness, aquifer transport capacity, groundwater quality, slope, land use, distance from the river, and distance from the village.
Materials and Methods: After preparing the relevant layers, the layers were fuzzified and weighted using the AHP. A pairwise comparison matrix of various factors was created for this purpose. In the output of this model, the highest weights were respectively assigned to surface permeability, unsaturated zone thickness, and aquifer transmissivity. Finally, the potential areas were identified and evaluated using the ROC curve.
Results: In the final weights, the highest values were assigned to surface permeability, unsaturated zone thickness, and aquifer transport. The final zoning map indicated that the central areas of the plain were most conducive to groundwater recharge due to the influence of these three primary factors, exhibiting high weights and gentle slopes of 0 to 2%. Conversely, the western and lowland areas had the least recharge potential due to low aquifer transportability, high slopes, and thick unsaturated zones. The area under the ROC curve of susceptible regions is 0.98, indicating high accuracy of the results.
Conclusion: It can be stated that the use of multi-criterion decision-making methods for designing, evaluating, and prioritizing options for decisions, along with the application of GIS for analyzing large volumes of geographic data, combined with fuzzy logic, can assist us in implementing artificial feeding locations accurately and precisely.

Keywords: local analysis, Hierarchical analysis process, Artificial feeding of underground water sources, Urmia plain

Full-Text [PDF 2339 kb] (93 Downloads)

Type of Study: Research | Subject: Special
Received: 2024/09/2 | Accepted: 2025/01/7 | Published: 2025/03/2

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