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A Multi-Objective Optimisation Approach To Water Management
Emmanuel Xevi, Shahbaz Khan
Science and Health
Faculty Office, Science and Health
Research output
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Contribution to journal
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Article
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peer-review
115
Citations (Scopus)
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Keyphrases
Water Management
100%
Water Resources
100%
Environmental Flows
100%
Multi-objective Optimization Algorithm
100%
Production Cost
50%
Multiple Goals
50%
Knowledge Gaps
50%
Agricultural Production
50%
Environmental Policy
50%
Irrigation District
50%
Competing Demands
50%
Groundwater
50%
Management Efficiency
50%
Economic Motivation
50%
Physical Environment
50%
Conflicting Objectives
50%
Risk Minimization
50%
Physical Constraints
50%
Variable Costs
50%
River Basin
50%
Subsequent Effects
50%
Water Management System
50%
Efficient Operation
50%
Environmental Markets
50%
Optimization Model
50%
Economic Criteria
50%
Production Targets
50%
Decision Framework
50%
Environmental Constraints
50%
Agricultural Water Demand
50%
Complex Decisions
50%
Biological Constraints
50%
Decision Problems
50%
Flow Restriction
50%
Canal
50%
Mathematical Techniques
50%
Multicriteria Decision-making
50%
Economic Constraints
50%
Crop Farmers
50%
River Reach
50%
Urban Water Demand
50%
Competing Water Uses
50%
Physical Economics
50%
Irrigation Area
50%
Bioeconomics
50%
Engineering
Optimization Approach
100%
Multiobjective Optimization
100%
Water Management
100%
Water Resource
100%
Conflicting Objective
50%
Multi-Criteria Decision-Making
50%
Nodes
50%
Cost Variable
50%
Mathematical Technique
50%
Flow Constraint
50%
Agricultural and Biological Sciences
Water Management
100%
Water Resource
100%
Irrigation District
50%
Optimization Model
50%
Multi-Criteria Decision Making
50%
Irrigation
50%
Environmental Policy
50%
Economics, Econometrics and Finance
Production Costs
100%
Variable Costs
100%
Bioeconomics
100%
Environmental Policy
100%