Both the textbook and lab manual introduce engineering students to the fundamentals and applications of real-time environmental monitoring based on electronic sensors, instruments, systems, and software that allow continuous, long-term ecological and environmental data collection. Tested in classrooms by the author, the second edition includes applications with state-of-the-art sensor technology and programs such as R, Python, Arduino, and SQL. Written to help both students and instructors in engineering better understand how to use and design a variety of sensors and build systems and databases when monitoring different environments such as soil, water, and air. Features Emphasizes real-time monitoring as an emerging area for environmental assessment and compliance and covers the fundamentals on how to develop sensors and systems. Includes 14 lab guides that parallel the theory developed in 14 chapters in the textbook. Uses a practical and hands-on approach with low-cost devices and includes applications to many environmental and ecological systems A valuable guide for students and practitioners worldwide engaged in efforts to develop, employ, and maintain environmental monitors. Provides theoretical knowledge along with exercises and problems based on author’s 40 years of academic experience Designed for students in upper-level undergraduate or graduate programs, taking courses in civil and environmental engineering, electrical engineering, mechanical engineering, geosciences, and environmental sciences, as well as professionals in environmental services, researchers in engineering, academics in engineering.

The first hands-on environmental monitoring lab manual written in tutorial style and classroom tested. Includes 14 lab guides that parallel the theory developed in 14 chapters in the textbook. Provides clear step-by-step protocols to understand basic and advanced theory through applicable exercises and problems. Injects a practical implementation of the existing textbook A valuable guide for students and practitioners worldwide engaged in efforts to develop, employ, and maintain environmental monitors.

Emphasizes real-time monitoring as an emerging area for environmental assessment and compliance and covers the fundamentals on how to develop sensors and systems Presents several entirely new topics not featured in the first edition, including remote sensing and GIS, machine learning, weather radar and satellites, groundwater monitoring, spatial analysis, and habitat monitoring Includes applications to many environmental and ecological systems Uses a practical, hands-on approach with the addition of an accompanying lab manual, which students can use to deepen their understanding, based on the author’s 40 years of academic experience

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based on the author's many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems. After a review of matrices, it delves into multiple regression, dependent random processes and autoregressive time series, spatial analysis using geostatistics and spatial regression, discriminant analysis, and a variety of multivariate analyses based on eigenvector methods. Build from Fundamental Concepts to Effective Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions allow students to grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seeg and RcmdrPlugin.seeg, open-source R packages developed by th

Given the importance of interdisciplinary work in sustainability, Simulation of Ecological and Environmental Models introduces the theory and practice of modeling and simulation as applied in a variety of disciplines that deal with earth systems, the environment, ecology, and human-nature interactions. Based on the author's many years of teaching graduate and undergraduate students in the United States, Spain, and Latin America, the textbook shows how to implement simulations and analyze the results using an open-source software platform. Learn How to Use a Broad Range of Environmental Models The textbook is organized into three parts to allow greater flexibility using the material in various countries and types of curricula. The first part provides a tutorial-style mathematical review and a gentle introduction to the basics of R software. The second part explains the fundamentals of modeling methodology through one-dimensional models. After a review of matrix algebra, the third part progresses to multidimensional models, focusing on structured populations, communities, and ecosystems. The final chapters show how simple models are hooked together to generate more comprehensive models. Build from Fundamental Concepts to Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions let students grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seem, an open-source R package developed by the author, which lets students quickly produce simulations and explore the effects of changing conditions in the model. This practical book is a comprehensive, unified presentation of ecological and environmental m

Given the importance of interdisciplinary work in sustainability, Simulation of Ecological and Environmental Models introduces the theory and practice of modeling and simulation as applied in a variety of disciplines that deal with earth systems, the environment, ecology, and human-nature interactions. Based on the author's many years of teaching graduate and undergraduate students in the United States, Spain, and Latin America, the textbook shows how to implement simulations and analyze the results using an open-source software platform. Learn How to Use a Broad Range of Environmental Models The textbook is organized into three parts to allow greater flexibility using the material in various countries and types of curricula. The first part provides a tutorial-style mathematical review and a gentle introduction to the basics of R software. The second part explains the fundamentals of modeling methodology through one-dimensional models. After a review of matrix algebra, the third part progresses to multidimensional models, focusing on structured populations, communities, and ecosystems. The final chapters show how simple models are hooked together to generate more comprehensive models. Build from Fundamental Concepts to Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions let students grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seem, an open-source R package developed by the author, which lets students quickly produce simulations and explore the effects of changing conditions in the model. This practical book is a comprehensive, unified presentation of ecological and environmental models. It describes the mathematical fundamentals to analyze models and the methodology to simulate them, with a focus on understanding environmental change-a key element of environmental management and problem solving.

Introduction to Renewable Power Systems and the Environment with R showcases the fundamentals of electrical power systems while examining their relationships with the environment. To address the broad range of interrelated problems that come together when generating electricity, this reference guide ties together multiple engineering disciplines with applied sciences. The author merges chapters on thermodynamics, electricity, and environmental systems to make learning fluid and comfortable for students with different backgrounds. Additionally, this book provides users with the opportunity to execute computer examples and exercises that use the open source R system. Functions of the renpow R package have been described and used in this book in the context of specific examples. The author lays out a clear understanding of how electricity is produced around the world and focuses on the shift from carbon-based energy conversions to other forms including renewables. Each energy conversion system is approached both theoretically and practically to provide a comprehensive guide. Electrical circuits are introduced from the simplest circumstances of direct current (DC), progressing to more complex alternating current (AC) circuits, single phase and three-phase, and electromagnetic devices including generators and transformers. Thermodynamics are employed to understand heat engines and a variety of processes in electrochemical energy conversion, such as fuel cells. The book emphasizes the most prevalent renewable energy conversions in use today: hydroelectrical, wind, and solar. This book is an invaluable for students as a resource to help them understand those aspects of environment systems that motivate the development and utilization of renewable power systems technology.

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based on the author's many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems. After a review of matrices, it delves into multiple regression, dependent random processes and autoregressive time series, spatial analysis using geostatistics and spatial regression, discriminant analysis, and a variety of multivariate analyses based on eigenvector methods. Build from Fundamental Concepts to Effective Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions allow students to grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seeg and RcmdrPlugin.seeg, open-source R packages developed by the author, which help students acquire the skills to implement and conduct analysis and to analyze the results. This self-contained book offers a unified presentation of data analysis methods for more effective problem solving. With clear, easy-to-follow explanations, the book helps students to develop a solid understanding of basic statistical analysis and prepares them for learning the more advanced and specialized methods they will need in their work.

Introduction to Renewable Power Systems and the Environment with R showcases the fundamentals of electrical power systems while examining their relationships with the environment. To address the broad range of interrelated problems that come together when generating electricity, this reference guide ties together multiple engineering disciplines with applied sciences. The author merges chapters on thermodynamics, electricity, and environmental systems to make learning fluid and comfortable for students with different backgrounds. Additionally, this book provides users with the opportunity to execute computer examples and exercises that use the open source R system. Functions of the renpow R package have been described and used in this book in the context of specific examples. The author lays out a clear understanding of how electricity is produced around the world and focuses on the shift from carbon-based energy conversions to other forms including renewables. Each energy conversion system is approached both theoretically and practically to provide a comprehensive guide. Electrical circuits are introduced from the simplest circumstances of direct current (DC), progressing to more complex alternating current (AC) circuits, single phase and three-phase, and electromagnetic devices including generators and transformers. Thermodynamics are employed to understand heat engines and a variety of processes in electrochemical energy conversion, such as fuel cells. The book emphasizes the most prevalent renewable energy conversions in use today: hydroelectrical, wind, and solar. This book is an invaluable for students as a resource to help them understand those aspects of environment systems that motivate the development and utilization of renewable power systems technology.