DEVELOPING DESIGN CURVES TO DETERMINE RECHARGE WELLS INFLUENCE ZONES UNDER VARIOUS SOIL CHARACTERISTICS | ||
| Journal of Al-Azhar University Engineering Sector | ||
| Volume 19, Issue 72, July 2024, Pages 70-85 PDF (1.11 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/auej.2024.256875.1542 | ||
| Author | ||
| Ahmed Mohamed Metwally* | ||
| Civil Engineering Department, Faculty of Engineering, Al-Azhar University, Nasr City, Cairo, Egypt, | ||
| Abstract | ||
| Accurate assessment of hydraulic elements in hydraulic engineering and irrigation is crucial. The effectiveness of recharge wells for recharging groundwater aquifers is influenced by factors such as well design, aquifer properties, and recharge methods. Experimental models play a vital role in gaining insights into the complex hydraulic behavior of various aquifer types. This research was conducted at the Fluid Mechanics and Hydraulics Laboratory of the Faculty of Engineering, Al-Azhar University, where an experimental model was designed and implemented to simulate the hydraulic dynamics of various recharge well configurations. The primary objective of this research is to better understand the diverse impact mechanisms associated with different types of injection wells and their performance in recharging aquifers. The model, simulating real-world conditions, incorporates variables such as well geometries, recharge rates, and aquifer properties. The research analyzes hydraulic performance under controlled conditions, aiming to provide valuable data for designing efficient recharge well systems and optimizing groundwater recharge processes. The study is expected to contribute to sustainable groundwater management and inform decisions on recharge well design. In conclusion, the research elucidates complex hydraulic behavior, offering findings with theoretical and practical implications in hydraulic engineering and groundwater management. The detailed curve analysis aims to identify influential factors, holding significance in developing accurate predictive models and empowering specialists to make informed decisions in groundwater management. Special Issue of AEIC 2024 (Civil Engineering Session) | ||
| Keywords | ||
| Recharge wells; Groundwater Recharge; Well Configurations; Soil types | ||
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