Environmental Monitoring and Characterization is an integrated, hands-on resource for monitoring all aspects of the environment. Sample collection methods and relevant physical, chemical and biological processes necessary to characterize the environment are brought together in twenty chapters which cover: sample collection methods, monitoring terrestrial, aquatic and air environments, and relevant chemical, physical and biological processes and contaminants. This book will serve as an authoritative reference for advanced students and environmental professionals. - Examines the integration of physical, chemical, and biological processes - Emphasizes field methods and real-time data acquisition, made more accessible with case studies, problems, calculations, and questions - Includes four color illustrations throughout the text - Brings together the concepts of environmental monitoring and site characterization

This book deals with recent developments and applications of environmental monitoring technologies, with emphasis on rapidly progressing optical and biological methods. Written by worldwide experts, this book will be of interest to environmental scientists in academia, research institutes, industry and the government.

After the devastating tsunami in 2011, DYIers in Japan built their own devices to detect radiation levels, then posted their finding on the Internet. Right now, thousands of people worldwide are tracking environmental conditions with monitoring devices they’ve built themselves. You can do it too! This inspiring guide shows you how to use Arduino to create gadgets for measuring noise, weather, electromagnetic interference (EMI), water purity, and more. You’ll also learn how to collect and share your own data, and you can experiment by creating your own variations of the gadgets covered in the book. If you’re new to DIY electronics, the first chapter offers a primer on electronic circuits and Arduino programming. Use a special microphone and amplifier to build a reliable noise monitor Create a gadget to detect energy vampires: devices that use electricity when they’re “off” Examine water purity with a water conductivity device Measure weather basics such as temperature, humidity, and dew point Build your own Geiger counter to gauge background radiation Extend Arduino with an Ethernet shield—and put your data on the Internet Share your weather and radiation data online through Pachube

The natural environment is complex and changes continuously at varying paces. Many, like the weather, we notice from day to day. However, patterns and rhythms examined over time give us the bigger picture. These weather statistics become climate and help us build an understanding of the patterns of change over the long term. Real-Time Environmental Monitoring: Sensors and Systems introduces the fundamentals of environmental monitoring, based on electronic sensors, instruments, and systems that allow real-time and long-term data acquisition, data-logging, and telemetry. The book details state-of-the-art technology, using a practical approach, and includes applications to many environmental and ecological systems. In the first part of the book, the author develops a story of how starting with sensors, you can progressively build more complex instruments, leading to entire systems that end with databases and web servers. In the second part, he covers a variety of sensors and systems employed to measure environmental variables in air, water, soils, vegetation canopies, and wildlife observation and tracking. This is an emerging area that is very important to some aspects of environmental assessment and compliance monitoring. Real-time monitoring approaches can facilitate the cost effective collection of data over time and, to some extent, negate the need for sample, collection, handling, and transport to a laboratory, either on-site or off-site. It provides the tools you need to develop, employ, and maintain environmental monitors.

The current rate and scale of environmental change around the world makes the detection and understanding of these changes increasingly urgent. Subsequently, government legislation is focusing on measurable results of environmental programs, requiring researchers to employ effective and efficient methods for acquiring high-quality data. Focusing on pollution issues and impacts resulting from human activities, Environmental Monitoring is the first to bring together the conceptual basis behind the complex and specific approaches to the monitoring of air, water, and land. Coverage includes integrated monitoring at the landscape level, as well as case studies of existing monitoring programs such as the Chesapeake Bay Program. The book also addresses the recent legislative focus on high-quality data results and conducting monitoring programs in different ecosystems and environmental media.

This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples and measurements to collect for this purpose. Then a broad range of statistical analysis methods are described and illustrated. These include: * determining the number of samples needed to find hot spots * analyzing pollution data that are lognormally distributed * testing for trends over time or space * estimating the magnitude of trends * comparing pollution data from two or more populations New areas discussed in this sourcebook include statistical techniques for data that are correlated, reported as less than the measurement detection limit, or obtained from field-composited samples. Nonparametric statistical analysis methods are emphasized since parametric procedures are often not appropriate for pollution data. This book also provides an illustrated comprehensive computer code for nonparametric trend detection and estimation analyses as well as nineteen statistical tables to permit easy application of the discussed statistical techniques. In addition, many publications are cited that deal with the design of pollution studies and the statistical analysis of pollution data. This sourcebook will be a useful tool for applied statisticians, ecologists, radioecologists, hydrologists, biologists, environmental engineers, and other professionals who deal with the collection, analysis, and interpretation of pollution in air, water, and soil.

This book is a printed edition of the Special Issue "UAV Sensors for Environmental Monitoring" that was published in Sensors