Emerging Sensors for Environmental Monitoring
Emerging Sensors for Environmental Monitoring presents a comprehensive overview of chemical sensors, ranging from the choice of material to sensor validation, modeling, simulation, and manufacturing. It discusses the process of data collection by intelligent techniques such as deep learning and multivariate analysis, incorporates different types of sensors, and discusses each under a common set of sub-sections so that readers can fully understand the advantages and disadvantages of the relevant transducers—depending on the design, transduction mode, and final applications.

This book provides a practical reference for Scientists, Researchers, Students, and Practitioners to deepen their knowledge base on the management of emerging contaminants, degradation of air, soil and water quality and indicators of ecological degradation.

1144493107
Emerging Sensors for Environmental Monitoring
Emerging Sensors for Environmental Monitoring presents a comprehensive overview of chemical sensors, ranging from the choice of material to sensor validation, modeling, simulation, and manufacturing. It discusses the process of data collection by intelligent techniques such as deep learning and multivariate analysis, incorporates different types of sensors, and discusses each under a common set of sub-sections so that readers can fully understand the advantages and disadvantages of the relevant transducers—depending on the design, transduction mode, and final applications.

This book provides a practical reference for Scientists, Researchers, Students, and Practitioners to deepen their knowledge base on the management of emerging contaminants, degradation of air, soil and water quality and indicators of ecological degradation.

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Emerging Sensors for Environmental Monitoring

Emerging Sensors for Environmental Monitoring

Emerging Sensors for Environmental Monitoring

Emerging Sensors for Environmental Monitoring

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Overview

Emerging Sensors for Environmental Monitoring presents a comprehensive overview of chemical sensors, ranging from the choice of material to sensor validation, modeling, simulation, and manufacturing. It discusses the process of data collection by intelligent techniques such as deep learning and multivariate analysis, incorporates different types of sensors, and discusses each under a common set of sub-sections so that readers can fully understand the advantages and disadvantages of the relevant transducers—depending on the design, transduction mode, and final applications.

This book provides a practical reference for Scientists, Researchers, Students, and Practitioners to deepen their knowledge base on the management of emerging contaminants, degradation of air, soil and water quality and indicators of ecological degradation.


Product Details

ISBN-13: 9780443138942
Publisher: Elsevier Science
Publication date: 05/23/2025
Pages: 244
Product dimensions: 6.00(w) x 9.00(h) x (d)

About the Author

Professor James McLaughlin CBE, a physicist, is a Fellow of the Institute of Physics and the Irish Academy of Engineering and a Member of the IEEE. He has developed significant initiatives within bioengineering research, technology transfer (including successful spin-outs), outreach and teaching since 1986. Presently, as a Professor in the School of Engineering and a previous Head of School, he is also Director of the Nanotechnology and Integrated Bioengineering Centre- NIBEC. His salient disciplines address Digital Healthcare Technology, Healthcare Wireless Sensor Systems, nano-based Point-of-Care Diagnostics and related bio-sensing applications.



Ashish Mathur is Associate Professor at the University of Petroleum and Energy Studies (UPES), Dehradun, India. Dr. Ashish is an experienced faculty in the field of Nanotechnology with a demonstrated skill set to pursue cutting edge research in the field of point of care sensors. He has expertise in developing microfluidic based bio-sensors for point of care applications, MEMS based devices, Materials Science, and other sensing devices for environmental applications. Dr Mathur has a strong educational background with Doctor of Philosophy (PhD) in Nanotechnology from University of Ulster, UK. Masters in Nanotechnology (Amity University, Noida) and Masters in Electronics and communication (CSJM University, Kanpur) along with computer education (DOEACC 'O' and 'A' level certificates); also a certificate in operations management from Wharton, US.

S. M. Tauseef is Professor and Associate Dean (R&D) at the University of Petroleum and Energy Studies (UPES), India (2015–present). He holds an MS in Chemical Engineering (Process Design) from Sharif University of Technology, Iran (2008), and a PhD in Environmental Engineering from Pondicherry University (PU) (2011). Prior to joining UPES, he worked as a Pool Officer (CSIR, Council of Scientific and Industrial Research) at PU (2012–2015). Dr. Tauseef’s research interests include process safety, especially forecasting and consequence assessment of accidents in chemical process industries. He has developed methodologies for the application of computational fluid dynamics (CFD) to dense gas dispersion, vapor cloud explosions, and single and multiple pool fires. His other main interest is in solid waste management, especially the design of continuously operable vermireactor systems for assorted wastes, and high-rate anaerobic digesters.

Table of Contents

1. Overview
2. Sensors: History and Terminology
3. Current trends and practices in modern day sensors
4. Need of Sensors for Environmental Applications
5. Modern transducers for sensing application

Section II: Environmental Sensors based on Nanomaterials
6. Novel nanomaterials for Environmental sensors
7. MEMS based sensors for Environmental monitoring
8. Sensing our environment: Present and Future Challenges
9. Commercially available sensors for Environment

Section III: Smart Sensors for Environmental Monitoring
10. IoT based sensors for Environmental Monitoring
11. AI based sensors for Environmental Monitoring
12. Programming languages used in sensors for Environmental Monitoring

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Presents an application-based approach using real-world examples to illustrate the application of sensor technologies for environmental modeling

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