Finding the Potential of Underground Water Resources of Saghez City using Fuzzy Hierarchical Analysis Process (FAHP) in GIS

جغرافیاوتوسعه ناحیه ای

Article 5, Volume 20, Issue 4 - Serial Number 41, December 2022, Pages 173-133   

Document Type: Research

DOI: 10.22067/jgrd.2023.77871.1180

Authors

Arash Khodakarami¹; Mahmoud Hooshyar^{* 2}; Abbas Javid³; Seyed Asaad Hosseini⁴

¹BSc. in Mapping Engineering, Jundishapur University of Technology, Dezful, Iran

²Assistant Professor, Department of Geography, Payame Noor University, Tehran, Iran

³MA in Hydrology and Director of Saghez Water Resources Affairs, Saghez, Iran

⁴Meteorology Expert, Kurdistan Province Meteorological Office, Sanandaj, Iran

Abstract

Such issues as increase of population, industrial development, illegal harvesting, increase in cultivated areas, and drought have increased the use of underground water resources in recent years and the level of underground water is decreasing  every day. Therefore, the identification of underground water resources, its optimal use and its management will result in sustainable use of the precious resources. Weighted overlap analysis using multi-criteria decision-making techniques (MCDM), fuzzy hierarchical analytical process (FAHP), GIS, and remote sensing knowledge were used to find the potential of underground water resources in Saqqez city watershed. The data of 740 wells and 14 geological, meteorological, topographical, hydrological and environmental parameters were prepared and processed by GIS to produce a potential map of underground water resources. By using the system performance curve (ROC) for verifying, the potential map of underground water resources was estimated. By analyzing the distribution of existing open wells, the value of AUC = 83.7% shows that the model has successfully predicted groundwater. Statistical analysis showed that 8.74% and 18.48% of the total area of Saghez city are in very good and good potential area, and 31.48% and 34.25% are in the medium and poor potential area, respectively, and 7.05% are in the area with very poor potential. The findings will help policy makers and managers in planning and sustainable managing of groundwater resources.

Keywords

Groundwater Resource Potential (GWPZ); Fuzzy Hierarchical Analysis Process (FAHP); Saghez; Fuzzy Logic

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