Stochastic Control in Energy, Environmental and Resource Management Applications offers practical insights and solutions to contemporary challenges in resource, environment, and energy management. From sustainable fishery practices to water quality assessment and renewable energy generation, the book addresses urgent global issues. Additionally, it delves into the mathematical and computational aspects of stochastic control, aligning with modern concepts like Sustainable Development Goals and Green Transformation. It bridges the gap between experimentalists, who face practical issues without strong theoretical foundations, and theoreticians, who often propose idealized solutions. It does so by using stochastic modeling and control theory to foster balance between the environment and humanity.
1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. ix 7. About the contributors - p. xi 8. Preface - p. xv 9. 1 Introductory chapter - p. 1 10. 2 Preliminaries for stochastic modeling - p. 17 11. 3 Surface water quantity and quality of main study areas - p. 61 12. 4 Uncertainty and risk modeling of surface waters - p. 99 13. 5 Mathematical modeling of rainfall and fish migration in a canal - p. 137 14. 6 Fishery resources management - p. 161 15. 7 Algae detachment dynamics and sediment replenishment - p. 205 16. 8 Crop and vegetation management from mechanistic viewpoints - p. 233 17. 9 Assessing wind power generation with long-term decarbonized energy auction - p. 255 18. 10 Optimization for environmental policymaking - p. 283 19. 11 Concluding remarks - p. 307 20. Index - p. 311
Stochastic Control in Energy, Environmental and Resource Management Applications offers practical insights and solutions to contemporary challenges in resource, environment, and energy management. From sustainable fishery practices to water quality assessment and renewable energy generation, the book addresses urgent global issues. Additionally, it delves into the mathematical and computational aspects of stochastic control, aligning with modern concepts like Sustainable Development Goals and Green Transformation. It bridges the gap between experimentalists, who face practical issues without strong theoretical foundations, and theoreticians, who often propose idealized solutions. It does so by using stochastic modeling and control theory to foster balance between the environment and humanity.
1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. ix 7. About the contributors - p. xi 8. Preface - p. xv 9. 1 Introductory chapter - p. 1 10. 2 Preliminaries for stochastic modeling - p. 17 11. 3 Surface water quantity and quality of main study areas - p. 61 12. 4 Uncertainty and risk modeling of surface waters - p. 99 13. 5 Mathematical modeling of rainfall and fish migration in a canal - p. 137 14. 6 Fishery resources management - p. 161 15. 7 Algae detachment dynamics and sediment replenishment - p. 205 16. 8 Crop and vegetation management from mechanistic viewpoints - p. 233 17. 9 Assessing wind power generation with long-term decarbonized energy auction - p. 255 18. 10 Optimization for environmental policymaking - p. 283 19. 11 Concluding remarks - p. 307 20. Index - p. 311
