Digital Commons @ Michigan Tech
metadata only
Pump-and-treat optimization using well locations and pumping rates as decision variables
A new optimization formulation for dynamic groundwater remediation management is developed by simultaneously using well locations and the corresponding pumping rates as the decision variables. The genetic algorithm is applied to search for optimal pumping rates and the discrete space of well locatio
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Optimization-based design of distillation processes with embedded pressure drop and HETP correlations / Sina Bertram, Jonas Schnurr, Mirko Skiborowski#1324274
- Development of an offline dynamic optimization tool applied to water treatment processes coupled to a multi-energy and renewable system.#1367009
- Applied Computational Models and Algorithmic Solutions to Common Optimization Problems in Energy-Water Systems#627587
- Optimizing water resources for sustainable desalination: The integration of expert systems and solar energy in experimental applications#8891
- 43 U.S.C. § 390h-12m — Mission Basin Brackish Groundwater Desalting Demonstration Project#596768
Record · ID 1487765
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive