Miguel F. Acevedo

Real-Time Environmental Monitoring (eBook, PDF)

Sensors and Systems - Lab Manual

• Format: PDF

Produktbeschreibung

This lab manual is a companion to the second edition of the textbook Real-Time Environmental Monitoring: Sensors and Systems. Tested in pedagogical settings by the author for many years, it includes applications with state-of-the-art sensor technology and programs such as R, Python, Arduino, PHP, HTML, and SQL. It helps students and instructors in science and engineering better understand how to use and design a variety of sensors, and how to build systems and databases when monitoring different environments such as soil, water, and air. Examples of low-cost and open-access systems are included and can serve as the basis of learning tools for the concepts and techniques described in the textbook. Furthermore, the manual provides links to websites and scripts in R that allow learning how to analyze a variety of datasets available from repositories and databases maintained by many agencies and institutions.

• 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 companion 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.

Intended for upper-level undergraduate and graduate students taking courses in electrical engineering, civil and environmental engineering, mechanical engineering, geosciences, and environmental sciences, as well as instructors who teach these courses. Professionals working in fields such as environmental services, and researchers and academics in engineering will also benefit from the range of topics included in this lab manual.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 484
• Erscheinungstermin: 19. Oktober 2023
• Englisch
• ISBN-13: 9781000927771
• Artikelnr.: 68779810

Autorenporträt

Miguel F. Acevedo has over 40 years of academic experience, the last 27 of these at the University of North Texas (UNT) where he is currently a Regents Professor. His career has been interdisciplinary and especially at the interface of science and engineering. He has served UNT as faculty member in the department of Geography, the Graduate Program in Environmental Sciences of the Biology department, and the Electrical Engineering department. He obtained his Ph.D. degree in Biophysics from the University of California, Berkeley (1980) and master's degrees in electrical engineering and Computer Science from Berkeley (M.E., 1978) and the University of Texas at Austin (M.S., 1972). Before joining UNT, he was at the Universidad de Los Andes, Merida, Venezuela, where he served in the School of Systems Engineering, the graduate program in Tropical Ecology, and the Center for Simulation and Modeling. He has served on the Science Advisory Board of the U.S. Environmental Protection Agency and on many review panels of the U.S. National Science Foundation. He has received numerous research grants, and written several textbooks, numerous journal articles, as well as many book chapters and proceeding articles. In addition to the Regents Professor rank, UNT has recognized him with the Citation for Distinguished Service to International Education, and the Regent's Faculty Lectureship. His research interests focus on environmental systems and sustainability. He has published four textbooks with CRC Press.

Inhaltsangabe

1. Principles of Environmental Monitoring 2. Programming and Single-Board Computers 3. Sensors and Transducers: Basic Circuits 4. Bridge Circuits and Signal Conditioning 5. Dataloggers and Sensor Networks 6. Wireless Technologies: Telemetry and Wireless Sensor Networks 7. Environmental Monitoring and Electric Power 8. Remote Monitoring of the Environment 9. Probability, Statistics, and Machine Learning 10. Databases and Geographic Information Systems 11. Atmospheric Monitoring 12. Water Monitoring 13. Terrestrial Ecosystems Monitoring 14. Wildlife Monitoring