Water Resources Systems Planning and Management

Overview

Syllabus 9

1. Introduction and Basic Concepts
   • System Components,Planning & Management
   • Modeling of Water Resources System
   • Optimization & Simulation
2. Introduction to Optimization
   • Objective Function, Maxima, Minima & Saddle Points, Convexity & Concavity
   • Constrained & Unconstrained Optimization
   • Lagrange Multipliers & Kuhn - Tucker Condition
3. Linear Programming and Applications
   • Preliminaries
   • Graphical Method
   • Simplex Method - I
   • Simplex Method - II
   • Linear Programming Application
   • Reservoir operation and reservoir sizing using LP
4. Dynamic Programming and Applications
   • Introduction and preliminaries
   • Water Allocation - I
   • Water Allocation - II
   • Capacity Expansion
   • Reservoir operation
5. Multi-objective Optimization
   • Introduction
   • Multipurpose Reservoir Operation
   • Weighting function and constraint method
6. Stochastic Optimization
   • Review of probability theory
   • Uncertainty and reliability analysis
   • Chance constrained LP - I
   • Chance constrained LP - II
   • Stochastic Processes and Transition Probabilities
   • Stochastic DP
7. Simulation
   • Introduction and river basin simulation
   • Reservoir operation simulation
   • Performance Measures
8. Water Resources Systems Modeling
   • River basin planning and management
   • Water distribution system
   • Ground water system
   • Water quality modeling
   • Floodplain management
   • Urban storm water management
9. Advanced Topics
   • Fuzzy optimization
   • Genetic algorithms
   • Multi - Criteria decision making
   • Decision Support Systems
   • Expert systems

Advantages and disadvantages

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Taught by

• Dr. D. Nagesh KumarIISc Bangalore