Journal of Water and Wastewater Science and Engineering

Journal of Water and Wastewater Science and Engineering

The Application of Generative Artificial Intelligence in Evaluating and Ranking the Key Factors Influencing the Performance of Rainwater Harvesting Systems

Document Type : Original Article

Authors
Mohammad Javad Emami-Skardi 1
Reza Hedayati Marzooni 2
Yasaman Samaei 3
1 Assistant Professor, Civil Engineering Department, Faculty of Engineering and Technology, University of Mazandaran, Babolsar, Iran.
2 M.Sc. Student, Biotic Architecture Technology, University of Mazandaran, Babolsar, Iran.
3 M.Sc. in Water Resources Engineering, Imam Khomeini International University, Qazvin, Iran.
10.22112/jwwse.2025.500951.1441
Abstract
Rainwater harvesting systems have been recognized as one of the fundamental strategies in water resource management. Considering climate change and the growing demand for water, many regions are facing water scarcity. These systems can be utilized as a sustainable and cost-effective approach to address these issues. This study aims to identify and rank suitable areas for rainwater harvesting. Using the Generative Artificial Intelligence, Analytical Hierarchy Process (AHP) and geographic data analysis in GIS software, potential areas in Mazandaran province have been identified for this purpose. ChatGPT-4 artificial intelligence was employed to simulate expert opinions in pairwise comparisons. The results of this research, in addition to aiding the development of rainwater harvesting systems, can also evaluate the use of AI in the water resources management and engineering. Among the obtained results, slope had the highest weight with a final value of 0.2412, while geomorphology had the lowest weight with a final value of 0.0372. The findings indicate that the use of AI can facilitate decision-making under uncertainty and challenges in water resource engineering and management.
Keywords
Rainwater Harvesting
Artificial Intelligence
Multi-Criteria Decision Making
Prioritization
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Journal of Water and Wastewater Science and Engineering
Volume 10, Issue 4
Winter 2026
Pages 51-62

  • Receive Date 20 January 2025
  • Revise Date 30 March 2025
  • Accept Date 08 June 2025