An Adaptive Long-Term Monitoring and Operations System (aLTMOs™) for optimization in environmental management

Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships

Volumn 104, Issue , 2004, Pages

  Rizzo, Donna M ^a   Dougherty, David E ^a   Yu, Mengchun ^a  

^a Subterranean Research Inc   (United States)

Author keywords

Costs; Environmental quality; Ground water management; Monitoring; Optimization; Soil pollution; Technology

Indexed keywords

AQUIFER PROPERTIES; ARTIFICIAL NEURAL NETWORK; CHARACTERIZATION METHODS; ENVIRONMENTAL QUALITY; GROUNDWATER CLEAN-UP; GROUNDWATER MANAGEMENT; KAIMAN FILTERING; KRIGING METHODS; LONG TERM MONITORING; MASSACHUSETTS; OPTIMIZATION SYSTEM; OPTIMIZATION TECHNOLOGY; PRESENT VALUE; PROPERTY VALUE; PUMP-AND-TREAT; REDUCED COST; REMEDIATION SYSTEMS; UNCERTAINTY ASSESSMENT;

AQUIFERS; COMPUTER SOFTWARE REUSABILITY; COST REDUCTION; ENVIRONMENTAL MANAGEMENT; FLOW OF WATER; GROUNDWATER POLLUTION; GROUNDWATER RESOURCES; HYDROGEOLOGY; NETWORK PERFORMANCE; NEURAL NETWORKS; OPTIMIZATION; PLANNING; SOIL POLLUTION; SOILS; TECHNOLOGY; WATER MANAGEMENT; WATER RESOURCES EXPLORATION;

MONITORING;

EID: 74949108345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/40517(2000)113     Document Type: Conference Paper

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