Real-Time Environmental Monitoring

Real-Time Environmental Monitoring
Author: Miguel F. Acevedo
Publisher: CRC Press
Total Pages: 356
Release: 2018-10-08
Genre: Nature
ISBN: 1482240343

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.

Real-Time Environmental Monitoring

Real-Time Environmental Monitoring
Author: Miguel F. Acevedo
Publisher: CRC Press
Total Pages: 563
Release: 2023-09-29
Genre: Technology & Engineering
ISBN: 1000927822

Written 10 years after the publication of the first edition, this updated edition of Real-Time Environmental Monitoring: Sensors and Systems introduces the fundamentals of environmental monitoring based on electronic sensors, instruments, systems, and software that allow continuous and long-term ecological and environmental data collection. It accomplishes two objectives: explains how to use sensors for building more complex instruments, systems, and databases, and introduces a variety of sensors and systems employed to measure environmental variables in air, water, soils, vegetation canopies, and wildlife observation and tracking. This second edition is thoroughly updated in every aspect of technology and data, and each theoretical chapter is taught parallel with a hands-on application lab manual. 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 Intended for upper-level undergraduate and graduate students, taking courses in civil and environmental engineering, electrical engineering, mechanical engineering, geosciences, and environmental sciences, as well as professionals working in environmental services, and researchers and academics in engineering.

Environmental Monitoring and Characterization

Environmental Monitoring and Characterization
Author: Janick Artiola
Publisher: Elsevier
Total Pages: 425
Release: 2004-06-10
Genre: Science
ISBN: 0080491278

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

Smart Sensors for Real-Time Water Quality Monitoring

Smart Sensors for Real-Time Water Quality Monitoring
Author: Subhas C Mukhopadhyay
Publisher: Springer Science & Business Media
Total Pages: 292
Release: 2013-03-17
Genre: Technology & Engineering
ISBN: 3642370063

Sensors are being utilized to increasing degrees in all forms of industry. Researchers and industrial practitioners in all fields seek to obtain a better understanding of appropriate processes so as to improve quality of service and efficiency. The quality of water is no exception, and the water industry is faced with a wide array of water quality issues being present world-wide. Thus, the need for sensors to tackle this diverse subject is paramount. The aim of this book is to combine, for the first time, international expertise in the area of water quality monitoring using smart sensors and systems in order that a better understanding of the challenges faced and solutions posed may be available to all in a single text.

Energy-Efficient Underwater Wireless Communications and Networking

Energy-Efficient Underwater Wireless Communications and Networking
Author: Goyal, Nitin
Publisher: IGI Global
Total Pages: 339
Release: 2020-09-04
Genre: Technology & Engineering
ISBN: 1799836428

Underwater wireless sensor networks (UWSN) are envisioned as an aquatic medium for a variety of applications including oceanographic data collection, disaster management or prevention, assisted navigation, attack protection, and pollution monitoring. Similar to terrestrial wireless sensor networks (WSN), UWSNs consist of sensor nodes that collect the information and pass it to a base station; however, researchers have to face many challenges in executing the network in an aquatic medium. Energy-Efficient Underwater Wireless Communications and Networking is a crucial reference source that covers existing and future possibilities of the area as well as the current challenges presented in the implementation of underwater sensor networks. While highlighting topics such as digital signal processing, underwater localization, and acoustic channel modeling, this publication is ideally designed for machine learning experts, IT specialists, government agencies, oceanic engineers, communication experts, researchers, academicians, students, and environmental agencies concerned with optimized data flow in communication network, securing assets, and mitigating security attacks.

Environmental Monitoring with Arduino

Environmental Monitoring with Arduino
Author: Emily Gertz
Publisher: "O'Reilly Media, Inc."
Total Pages: 97
Release: 2012-01-26
Genre: Computers
ISBN: 144932861X

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

Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

Advanced Environmental Monitoring with Remote Sensing Time Series Data and R
Author: Alexandra Gemitzi
Publisher: CRC Press
Total Pages: 117
Release: 2019-11-20
Genre: Science
ISBN: 0429557140

This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region—a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas. Features Includes real-world applications of environmental remotely sensed data Analyzes the advantages and restrictions of each data source Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data Presents a step-by-step processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students.

Machine Learning Approach for Cloud Data Analytics in IoT

Machine Learning Approach for Cloud Data Analytics in IoT
Author: Sachi Nandan Mohanty
Publisher: John Wiley & Sons
Total Pages: 528
Release: 2021-07-14
Genre: Computers
ISBN: 1119785855

Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.

Smart Sensing Technology for Agriculture and Environmental Monitoring

Smart Sensing Technology for Agriculture and Environmental Monitoring
Author: Subhas Chandra Mukhopadhyay
Publisher: Springer Science & Business Media
Total Pages: 392
Release: 2012-02-06
Genre: Technology & Engineering
ISBN: 3642276385

The book focuses on the different aspects of sensing technology, i.e. high reliability, adaptability, recalibration, information processing, data fusion, validation and integration of novel and high performance sensors specifically aims to monitor agricultural and environmental parameters. This book is dedicated to Sensing systems for Agricultural and Environmental Monitoring offers to variety of users, namely, Master and PhD degree students, researchers, practitioners, especially Agriculture and Environmental engineers. The book will provide an opportunity of a dedicated and a deep approach in order to improve their knowledge in this specific field.

Multi-robot Exploration for Environmental Monitoring

Multi-robot Exploration for Environmental Monitoring
Author: Kshitij Tiwari
Publisher: Academic Press
Total Pages: 276
Release: 2019-12-04
Genre: Technology & Engineering
ISBN: 0128176075

Multi-robot Exploration for Environmental Monitoring: The Resource Constrained Perspective provides readers with the necessary robotics and mathematical tools required to realize the correct architecture. The architecture discussed in the book is not confined to environment monitoring, but can also be extended to search-and-rescue, border patrolling, crowd management and related applications. Several law enforcement agencies have already started to deploy UAVs, but instead of using teleoperated UAVs this book proposes methods to fully automate surveillance missions. Similarly, several government agencies like the US-EPA can benefit from this book by automating the process. Several challenges when deploying such models in real missions are addressed and solved, thus laying stepping stones towards realizing the architecture proposed. This book will be a great resource for graduate students in Computer Science, Computer Engineering, Robotics, Machine Learning and Mechatronics.