Water Resources & Management Systems Analysis (I)
- Course introduction including main objectives, syllabus, references and assessment policies
- Motivations: Water resources planning and management, and challenges, Water resources systems characteristics and complexities
- Integrated water resources planning and management and systems approach
- Systems analysis techniques: simulation and optimization
- Explanation of simulation and optimization concepts through a simple water allocation problem
- Simulation and optimization: application o storgae-yield-reliability analysis problem
- Simulation and optimization: application to storgae-hydroenergy yield-reliability analysis problem
- Mathematical programing: definitions, concepts, linear algebra review, constrained optimization and optimality conditions
- Constrained optimization: Lagrange multipliers approach and Khan-Tucker optimality conditions
- Linear programming (LP): Problem formulations and applications
- Linear programming and solution techniques: graphical method and Simplex method
- Simplex method: more details and sensitivity analysis
- Mixed integer linear programming (MILP) and its applications to water resource problems including linearization od nonlinear models, capacity expansion problems and the problems of the planning the expansion of water resources development projects consisting of timing, scheduling and sizing subproblms
- Mathematical programming: Dynamic programming (DP) and its concepts, elements and features
- Dynamic programming application to the problems of optimal water allocation, capacity expansion and water reservoirs operations optimization
- Stochastic dynamic programming (SDP): Introduction to stochastic processes, Markov chains with application in stochastic optimization of water reservoir operations
- Water resources systems evaluation and performance criteria
- Flood control and modeling
- Software and computer packages applied to water resource systems problems (WEAP, ModSim, VenSim, Hec-ResSim, Matlab, etc.)