Contaminated ground water remediation design using simulation, optimization, and sensitivity theory. 1. Model development
Journal Article
·
· Water Resour. Res.; (United States)
The problem of designing contaminated ground water remediation systems using hydraulic control is addressed. Two nonlinear optimization formulations are proposed which model the design process for the location and pump rates of injection and extraction wells in an aquifer cleanup system. The formulations are designed to find a pumping system which (1) removes the most contaminant over a fixed time period and (2) reduces contaminant concentration to specified levels by the end of a fixed time period at least cost. The formulations employ a two-dimensional Galerkin finite element simulation model of steady state ground water flow and transient convective-dispersive transport. To make the optimization problems computationally tractable sensitivity theory is used to derive a general relationship for computing the derivatives of an arbitrary function of the simulation outputs with respect to model inputs. This relationship is then applied to the convective-dispersive transport equation.
- Research Organization:
- Princeton Univ., NJ (USA)
- OSTI ID:
- 6860098
- Journal Information:
- Water Resour. Res.; (United States), Journal Name: Water Resour. Res.; (United States) Vol. 24:3; ISSN WRERA
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
520200* -- Environment
Aquatic-- Chemicals Monitoring & Transport-- (-1989)
54 ENVIRONMENTAL SCIENCES
CLEANING
DECONTAMINATION
DESIGN
ENVIRONMENTAL TRANSPORT
FINITE ELEMENT METHOD
GROUND WATER
HYDROGEN COMPOUNDS
HYDROLOGY
MASS TRANSFER
MATHEMATICAL MODELS
NUMERICAL SOLUTION
OPTIMIZATION
OXYGEN COMPOUNDS
POLLUTANTS
POLLUTION
SENSITIVITY
SIMULATION
WATER
WATER POLLUTION
Aquatic-- Chemicals Monitoring & Transport-- (-1989)
54 ENVIRONMENTAL SCIENCES
CLEANING
DECONTAMINATION
DESIGN
ENVIRONMENTAL TRANSPORT
FINITE ELEMENT METHOD
GROUND WATER
HYDROGEN COMPOUNDS
HYDROLOGY
MASS TRANSFER
MATHEMATICAL MODELS
NUMERICAL SOLUTION
OPTIMIZATION
OXYGEN COMPOUNDS
POLLUTANTS
POLLUTION
SENSITIVITY
SIMULATION
WATER
WATER POLLUTION