標題: Optimal remediation design in groundwater systems by intelligent techniques
作者: Chu, HJ
Hsiao, CT
Chang, LC
土木工程學系
Department of Civil Engineering
公開日期: 2005
摘要: This research develops an optimal planning model for pump-treat-inject based groundwater remediation systems. Optimizing the design of the pump-treat-inject system is a nonlinear, dynamic and discrete optimization problem. This study integrates the Genetic Algorithm (GA) and Differential Dynamic Programming (DDP) to solve this highly complex problem. The proposed model considers both the cost of installing wells (fixed cost) and the operating cost of pumping, injection and water treatment. Minimizing the total cost and meeting the water quality constraints, the model computes the optimal number and location of wells, as well as the associated optimal pumping and injection schemes. This work also investigates many factors that affect the optimal design of a remediation system, such as, various numerical cases revealing the time-varying pumping and injection rate, and the requirement to balance the total volume between pumping and injection that can significantly influence the optimal design.
URI: http://hdl.handle.net/11536/25503
ISBN: 3-540-28895-3
ISSN: 0302-9743
期刊: KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS
Volume: 3682
起始頁: 628
結束頁: 634
顯示於類別:會議論文