الفهرس 
ACKNOWLEDGMENTSOnly 14 pages are availabe for public view
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Abstract
Uncertain hydrogeological condition of groundwater flow makes the construction of Groundwater Monitoring System (GMS) an expensive and complex process, particularly when using through monitoring dewatering system for grand irrigation projects, constructed in the River basin.
This study aimed to develop a new approach to build a functioning groundwater monitoring system by detecting a reduced set of observation wells (OWs) that optimally matches the hydraulic heads measured by other OWs within the field, namely as leader wells (LWs). The optimization models used in this work are the well-known genetic algorithm (GA), modified genetic algorithm (MGA) and a new progressive combination (PC) model. Optimization was applied to achieve three sequential selection processes: best-input combinations (BICk), LWs and core leader wells (CLWs) selection. This approach was applied to the Assiut New Barrage (ANB), a megaproject located in Assiut city, Egypt. The results show that nine LWs among 33 OWs are adequate for regular monitoring, with a reduction ratio of 72.72%. Moreover, assigning CLWs among LWs increases the accuracy of fitting to existing OWs, and helps to understand the spatial relationships between OWs.