Hydrology, Hydraulics and Water Resources Management
This book is aimed at engineers and other scientists working on water resources management and hydraulic networks.
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Complete description
With the population of our planet exceeding seven billion, funds for infrastructure works being limited worldwide and climate change affecting water resources, their optimal development and management is literally vital. This volume deals with application of some non-traditional optimization techniques to hydraulics, hydrology and water resources management and aims at helping scientists dealing with these issues to reach the best decisions. Chapter 1 is a brief introduction to optimization and its application to water resources management. Chapter 2 is dedicated to genetic algorithms. Chapter 3 focuses on applications of genetic algorithms to hydraulic networks, mainly irrigation ones. Chapter 4 is dedicated to simulated annealing. The particle swarm method (PSO) is discussed in Chapter 5. In Chapter 6 the basic concepts and features of Tabu search are presented and its coupling with other heuristic optimizers is discussed. Chapter 7 is dedicated to the Harmony Search method. Finally, Chapter 8 deals with the Outer Approximation method. This book is aimed at engineers and other scientists working on water resources management and hydraulic networks.
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Departments:
Water supply & treatment; The hydrosphere; Optimization;
Record updated at:
23 May, 2013
time:
16:21
Summary
Hydrology, Hydraulics and Water Resources Management
Contents Chapter 1 Optimization and water resources management Abstract; The concept of optimization; Optimization techniques; Optimal use of water resources; Definition of an optimization problem; Optimization and flow simulation; Concluding remarks; References Chapter 2 Genetic algorithms and water resources management: an established, yet evolving, relationship Abstract; Introduction; Basic features; Selection; Crossover and mutation; Other operators; Termination of the process; Handling constraints; Steady-state genetic algorithms; Use of surrogate models: the balance between accuracy and computational efficiency; A simple example; Advantages and disadvantages of genetic algorithms; Applications; Groundwater resources management; The inverse problem of groundwater hydraulics; Surface water hydrology; Reservoir management; Other applications; Concluding remarks; References Chapter 3 Applications of genetic algorithms to water distribution networks: optimization of irrigation networks design Abstract; Introduction; Methodology; Initial population - coding; Backward hydraulic simulation; Fitness evaluation; Genetic operators; Applications; Case 1; Case 2; Results and discussion; Conclusions; References; Chapter 4 Simulated annealing algorithms for water systems optimization; Abstract; Introduction; Theoretical aspects; Algorithm implementation: general aspects; Algorithm implementation: specific aspects; Aquifer systems; Water distribution systems; Wastewater systems; Conclusions; References Chapter 5 Particle swarm optimisation Abstract; Introduction; Description of particle swarm optimisation; Description of standard PSO; Combining continuous and discrete variables; Enriched diversity; Self-adapting parameters; Multi-objective PSO; Dynamic population increase; Human - computer interaction; The algorithm; Applications; The design of water distribution systems; A single objective problem; A multi-objective analysis; Conclusions; Acknowledgements; References Chapter 6 Tabu search for managing groundwater Abstract; Introduction; Tabu search concepts; Hybrid optimization types; Application to Blaine Naval Ammunition Depot; Situation and optimization approach; Application and results; Closure and outlook; References Chapter 7 Harmony search algorithm Abstract; Introduction; Relationship between music and mathematics; Spreading of the method; Presentation of the Harmony Search Algorithm; The concept of harmony; Method analysis; Variations of Harmony Search Algorithm; Improved Harmony Search Algorithm from ensemble of music players; Improved Harmony Search Algorithm; Global-best Harmony Search Algorithm; Self-adaptive Harmony Search Algorithm; Parameter-setting-free Harmony Search Algorithm; Evaluation of the variations of Harmony Search Algorithm; Test functions; Calibration procedure; - Results; Application to a multireservoir system; Description of the problem; Problem's constraints; Results; Conclusions; References Chapter 8 Groundwater optimal management using an outer approximation approach Abstract; Introduction; Example; The mathematics of groundwater management problems; The outer approximation method; Example; Conclusions; References
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