Sustainable management of a coupled groundwater-agriculture hydrosystem using multi-criteria simulation based optimisation

Water Science and Technology

Volumn 67, Issue 3, 2013, Pages 689-698

  Grundmann, Jens ^a   Schütze, Niels ^a   Lennartz, Franz ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Artificial intelligence; Density dependent groundwater flow modelling; Integrated water resources management; Irrigation; Multi criteria optimisation

Indexed keywords

ARTIFICIAL INTELLIGENCE TOOLS; COASTAL ENVIRONMENTS; CROP WATER PRODUCTION FUNCTION; CROPPING PATTERNS; DENSITY-DEPENDENT; EVOLUTIONARY OPTIMISATION; FAST OPERATION; GROUNDWATER ABSTRACTION; GROUNDWATER FLOW MODEL; GROUNDWATER FLOW MODELLING; GROUNDWATER WITHDRAWAL; HYDRO-SYSTEM; INTEGRATED WATER MANAGEMENT TOOLS; INTEGRATED WATER RESOURCES MANAGEMENT; IRRIGATED AGRICULTURE; MULTI OBJECTIVE; MULTI-CRITERIA; MULTI-CRITERIA OPTIMISATION; MUNICIPAL WATER; OPTIMISATION TECHNIQUES; OPTIMISATIONS; SIMULATION BASED OPTIMISATION; SUSTAINABLE MANAGEMENT; SUSTAINABLE WATER RESOURCES; UNIFIED PROCESS; WATER USE EFFICIENCY;

ABSTRACTING; ALGORITHMS; AQUIFERS; ARTIFICIAL INTELLIGENCE; GROUNDWATER FLOW; GROUNDWATER RESOURCES; IRRIGATION; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; PROFITABILITY; WATER CONSERVATION; WATER SUPPLY;

AGRICULTURE;

GROUND WATER;

AGRICULTURAL PRODUCTION; ALGORITHM; ARID REGION; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COASTAL ZONE; FLOW MODELING; GROUNDWATER ABSTRACTION; GROUNDWATER FLOW; IRRIGATION; MULTICRITERIA ANALYSIS; MULTIOBJECTIVE PROGRAMMING; OPTIMIZATION; SUSTAINABLE DEVELOPMENT; WATER MANAGEMENT; WATER RESOURCE; WATER USE;

AQUIFER; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COASTAL WATERS; CROPPING SYSTEM; IRRIGATION (AGRICULTURE); SIMULATION; SUSTAINABLE AGRICULTURE; WATER FLOW; WATER MANAGEMENT; WATER QUALITY; WATER SUPPLY;

AGRICULTURE; ALGORITHMS; BIOMASS; COMPUTER SIMULATION; GROUNDWATER; NEURAL NETWORKS (COMPUTER); SALINITY; WATER MOVEMENTS; WATER SUPPLY;

EID: 84874029300     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2012.602     Document Type: Article

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