Mathematical advances towards sustainable environmental systems

• Other Authors: Furze, James N. (Editor), Swing, Kelly (Editor), Gupta, Anil K., 1949- (Editor), McClatchey, Richard (Editor), Reynolds, Darren M. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham, Switzerland : Springer, 2017.
• Subjects: Sustainability > Mathematical models.; Sustainable development > Mathematical models.; elektronické knihy; electronic books
• ISBN: 9783319439013; 9783319439006
• Physical Description: 1 online resource

This edited volume focuses on how we can protect our environment and enhance environmental sustainability when faced with changes and pressures imposed by our expansive needs. The volume unites multiple subject areas within sustainability, enabling the techniques and philosophy in the chapters to be...

Table of Contents:

• Foreword: The Vocabulary of Nature; Preface: From the Coordinating Editor; Contents; Contributors; Chapter 1: Mathematical Advances Towards Sustainable Environmental Systems: Context and Perspectives; 1.1 Introduction; 1.2 Chapter Outlines; References; Chapter 2: Biological Modelling for Sustainable Ecosystems; 2.1 Introduction; 2.2 Biogeographic studies, Digital Elevation Models, Climatic data and Biological Records; 2.3 Mathematic Detail of Algorithmic Structures; 2.4 Genetic Dispersal/Stochastic Methods.
• 2.5 Functional Approximation Algorithms/Using Continual and Discrete Data for Informative Expansion2.6 Case Studies: Plant Strategies, Life Forms and Metabolism; 2.7 Heuristic and Optimal Search Capability and Application to Biological, Chemical and Physical Data; 2.8 Conclusions/Further Directions; References; Chapter 3: On the Dynamics of the Deployment of Renewable Energy Production Capacities; 3.1 Introduction; 3.2 Energy Return on Energy Investment; 3.3 MODERN: A Discrete-Time Model of the Deployment of Renewable Energy Production Capacities; 3.3.1 Time.
• 3.3.2 Assumption Regarding the Energy Produced from Nonrenewable Sources3.3.3 Energy from Renewable Origin; 3.3.4 Dynamics of Deployment of Energy Production Means; 3.3.5 Energy Costs for Growth and Long-Term Replacement; 3.3.6 Total Energy and Net Energy to Society; 3.3.7 Constraints on the Quantity of Energy Invested for Energy Production; 3.3.8 Assumptions on Growth and Replacement Energy Costs; 3.4 Simulation Results: Case Study for Photovoltaic Panels; 3.4.1 Variable Initialization; 3.4.2 Growth Scenario; 3.4.3 Depletion of Nonrenewable Resources Scenario.
• 3.4.4 Values of ERoEI and Lifetime3.4.5 Typical Runs; 3.5 On the Potential Benefits of Using Control Strategies; 3.6 From Modelling to Society; 3.7 Conclusions; References; Chapter 4: Water System Modelling; 4.1 Introduction; 4.2 Water Systems Modelling for Quantity and Quality; 4.2.1 AGNPS; 4.2.2 ANSWERS; 4.2.3 CASC2D; 4.2.4 MIKESHE; 4.2.5 DWSM; 4.2.6 KINEROS; 4.2.7 HSPF; 4.2.8 SWAT; 4.2.9 PRMS; 4.2.10 HEC-HMS; 4.2.11 HEC-RAS; 4.2.12 WEAP; 4.3 Time and Space Scale; 4.3.1 Time Scales in Modelling; 4.3.1.1 Event-Based Models; 4.3.1.2 Continuous Models; 4.3.2 Space Scale in Modelling.
• 4.3.3 Mathematical Bases for the Selected Models4.4 Model Calibration and Verification; 4.4.1 Root Mean Square Error (RMSE); 4.4.2 Coefficient of Determination R2; 4.4.3 Chi-square; 4.4.4 Nash-Sutcliffe Coefficient; 4.4.5 Index of Agreement d; 4.4.6 Nash-Sutcliffe Efficiency with Logarithmic Values ln E; 4.4.7 Modified Forms of E and d; 4.4.8 Relative Efficiency Criteria Erel and drel; 4.4.9 Measures of Efficiency; 4.5 Discussion; 4.6 Selecting a Model for Estimating Nutrient Yield and Transportation During Flash Floods and Wet Seasons.