7 Best Books on Environmental Systems Optimization and Modelling

“Mathematical Modeling in Economics, Ecology and the Environment (Springer Optimization and Its Applications)” Book Review: This book delves into a variety of mathematical models employed in economics, ecology, and environmental sciences, with a focus on control and optimization. Designed for graduate and upper-undergraduate courses, this text primarily covers Economic growth and technological development, Population dynamics and human impact on the environment, and Resource extraction and scarcity. The book’s chapters are self-contained and can be taught in full, partially, and in any sequence. Applied Mathematical Modeling is among the suitable one- and two-semester courses, but not the only ones.

“Data Mining in Agriculture: Volume 34 (Springer Optimization and Its Applications)” Book Review: This book aims to provide a thorough guide to data mining techniques applied in agriculture and environmental related fields for graduate students and researchers. The book covers both theoretical and practical aspects of the subject matter, with a particular emphasis on presenting the context of each data mining technique. Additionally, the book delves into various topics in data mining specific to agriculture. To facilitate learning, every chapter concludes with a set of problems along with their solutions.

“Cogeneration and District Energy Systems: Modelling, Analysis and Optimization (Iet Power and Energy)” Book Review: This book focuses on district energy and cogeneration technologies, as well as their combined systems, with a particular emphasis on modeling, analysis, and optimization. The book covers various topics, such as a concise introduction to district heating and cogeneration, thermodynamics and energy analyses background materials, cogeneration, heating and district heating models, and chilling and district cooling models. The book concludes with an overview of cogeneration and DE integration configurations, the economic aspects of cogeneration and DE, and the environmental impact of cogeneration systems, including waste management and carbon dioxide emissions and their allocation.

“Environmental and Hydrological Systems Modelling” Book Review: The book is designed to assist various professionals, including engineers, scientists, planners, and decision-makers, in forecasting potential future scenarios and real impending events. It offers a variety of modeling techniques for the water environment at different spatial and temporal scales, providing the necessary tools for their implementation. The book also showcases several case studies primarily from the Asia-Pacific region to demonstrate the practical applications of these approaches. The topics covered include population dynamics, reaction kinetics, water quality systems, and longitudinal dispersion.

“Model-Based Decision Support Methodology with Environmental Applications (Mathematical Modelling: Theory and Applications)” Book Review: The initial segment of this book comprises three parts, where it presents the methodological background and characteristics of the contemporary decision-making environment. It emphasizes the significance of model-based decision support and addresses the prevailing challenges of decision support. The methodology of building and analyzing mathematical models that represent underlying physical and economic processes, and that are useful for modern decision-makers at various stages of decision making, is also provided. The subsequent part of the book outlines different types of tools utilized for the development of decision support systems. This encompasses tools for modeling, simulation, optimization, tools supporting choice, and user interfaces. The book illustrates how contemporary advancements in mathematical programming and computer sciences can be leveraged to support decision making, specifically regarding strategic environmental problems. Moreover, the methods and tools are amply demonstrated with extensive applications. This book is beneficial to researchers and practitioners in the fields of model development and analysis, model-based decision analysis and support, particularly in the areas of environment, economics, agriculture, engineering, negotiations, and mathematical programming.

“Modeling, Control and Optimization of Water Systems: Systems Engineering Methods for Control and Decision Making Tasks” Book Review: The book offers crucial foundational information on constructing real-world solutions based on models in the control and decision-making arena for water systems. It introduces techniques in systems engineering to model surface water and groundwater resources alongside water transportation systems, such as rivers, channels, and pipelines. The book also showcases model applications, including a water allocation decision support system for semi-arid regions, a multiple-criteria control model for run-of-river hydropower plants, and a supply network simulation for public services.

“Modelling Approaches to Understand Salinity Variations in a Highly Dynamic Tidal River: The Case of the Shatt al-Arab River (Unescoihe Phd Thesis Series)” Book Review: This book presents the first-ever methodical monitoring and modeling study on water quality, water availability, and seawater intrusion in the Shatt al-Arab River (SAR), which runs along the border of Iraq and Iran. With the aid of a new series of monitoring stations and various modeling approaches, the interactions between these sources have been comprehensively and thoroughly analyzed. The rich and detailed dataset formed the foundation for a validated analytical model that can forecast the extent of seawater in relation to other salinity sources in an estuary, as well as a hydrodynamic model that can forecast changes in salinity. These models are highly adaptable to changing circumstances, making them directly useful for water managers. This approach can also be applied to comparable systems.