An integrated remote well control system developed for groundwater protection and management: Application to a DNAPL contaminated site and agricultural area requiring water supply
Abstract
The objectives of this study are to develop an integrated GIS-based well control system that can manage the groundwater Pumping and Injection System (PIS) and suggest the optimized operation condition using the Simulation-Optimization (SO) method on web-based service. The developed system can be utilized to offer 1) the optimal remediation strategy at DNAPL contaminated site and 2) the optimal groundwater supplement strategy in the event of a drought at an agricultural site. For the performance of SO method, a module was developed to perform the groundwater flow and solute transport modeling, and the algorithm optimization. In the process of finding an optimal method for the remediation design and the water supplement, Genetic Algorithm(GA) method has been chosen to find the factors for optimal operation such as location and rate of pumping and injection, the number of well, operating cost and so on. The developed system was enable to smoothly perform the numerical model for groundwater flow and contaminant transport on the web. In case of the finding the optimal remediation strategy, the optimal operating factors such as pumping rate and location obtained from SO method was well linked to the web-based operating system. As a result of operating a well control system, it can hydraulically control the spread of groundwater contaminants and contaminant plumes in real field. Also, for the optimal water supply during drought, it was possible to obtain the optimized operation information on the optimal well location and pumping rate. This work was supported by Korea Environment Industry &Technology Institute (KEITI) through "Activation of remediation technologies by application of multiple tracing techniques for remediation of groundwater in fractured rocks"(Grantnumber:20210024800002/1485017890), "Hydraulic control and containment using pumping-injection system" (SEM projects 2020002470001/1485017133)"and Korea Environment Industry & Technology Institute(KEITI) through the Demand Responsive Water Supply Service Program (RE20191097) funded by the Korea Ministry of Environment (MOE).
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2022
- Bibcode:
- 2022AGUFM.H25H1181L