About the Book
Air Quality Monitoring and Management Using Sensors, Volume Nine offers a comprehensive overview of the latest advancements in air pollution monitoring technologies. With contributions from leading experts, the book discusses sensor innovations, data analysis, and practical applications. It addresses the needs and challenges of air pollution monitoring and management, highlighting recent progress in calibration and validation of sensors, and the use of portable and wearable devices for personal exposure monitoring and indoor air quality assessment.
Sections explore remote sensing techniques, smart sensor networks integration, IoT applications, and advanced data analysis tools for tackling air pollution. It covers sensor applications for detecting pollutants such as nitrogen oxide, carbon monoxide, and particulate matter. Additionally, it examines emission control technologies and the development of detection systems for various pollutants, including sulfur oxide and nitrogen oxide. Future trends and successful case studies showcase the implementation of these sensors in environmental monitoring and remediation efforts.
Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.
Table of Contents:
1. Introduction to Air Pollution Monitoring and Remediation: Understanding the Scope, Impact, Challenges, and Needs
2. Sensor-Enabled Insights into Aerosol Optical Depth and Climate Variability: A Scientometric Analysis
3. Advancing Air Pollution Sensor Technologies: An Overview of Sensor Systems, Evolution, Types, Deployment, and Implementation
4. Present State of Gas Sensor Technologies for Monitoring Air Pollution
5. Portable and Wearable Air Pollution Sensors for Personal Exposure Monitoring
6. Sensor-Based Approaches for Indoor Air Quality Monitoring and Control: PM2.5 and PM10
7. Optimizing Indoor Environments: Harnessing Sensor-Based Solutions for Air Quality Management
8. Machine Learning Based Air Quality Prediction Using Sensor Data
9. Air Quality Monitoring Using Long-Range Wide Area Network (LoRaWAN)
10. Incorporating Air Quality Sensors into Urban Planning: Advancing Smart Cities with a Case Study of Beijing
11. Application of Air Quality Sensors in Urban planning of Cities
12. A sensor-centric approach towards unveiling Bhubaneswar's hyperlocal air quality
13. Advancements in Low-Cost Sensor Technologies for Urban Air Pollution Monitoring: Case Studies and Future Research Directions
14. Sensor–Based Monitoring of Air Quality in Semi-Urban and Rural Area of Northern India: A Case Study
15. Revolutionizing Air Quality Monitoring: Advanced Sensors, IoT Integration and Public Engagement
About the Author :
Amit Awasthi is Doctor of Philosophy in 2011 with more than 15 years of professional experience in the area of Research & Development, Teaching, and allied functions with reputed Educational Institutions and Universities. Presently associated with University of Petroleum & Energy Studies, Dehradun as Assistant Professor Selection Grade (Physics). Offering Research experience in the area of Atmospheric / Environment Sciences, Aerosol Physics, Aerosol Technology and Measurements, Air Monitoring and Exposure Studies, Aerosol Science and Technology, Aerosol Physical Properties and Climate Change. Editor of book “Artificial Intelligence for Air Quality Monitoring and Prediction in CRC, Taylor & Francis(Accepted and In-Process). The merit of receiving International Fellowship from National Science Council-Taiwan as Postdoc Fellow; got it initially for one year which was later extended for another year, basis showcasing outstanding performance hence gain two-year Postdoc Experience from Taiwan.
Manjeet Kumar is a research professor at Incheon National University. He received his Ph.D. from the DIAT-DRDO, Pune, India, in 2016. He completed his MTech degree in 2009 from Thapar University. From 2009–2010, he worked as a project associate at IIT, Delhi. His research interests include the chemical and physical processing of 0D/1D/2D/3D metal oxides, metal dichalcogenides, and chalcopyrite-based functional materials. These materials have been developed for exploring gas sensing, optoelectronic and photovoltaic applications, to study the interaction mechanisms at gas-solid interfaces & during light surface interaction.
Tanupriya Choudhury completed his PhD in 2016 from Jagannath University Jaipur. With a total of 15 years of experience in both teaching and research, Dr. Choudhury holds the position of Visiting Professor at Daffodil International University Bangladesh. Currently, he is working as a Professor at UPES Dehradun, India. Recently recognized for his outstanding contributions to education with the Global Outreach Education Award for Excellence in Best Young Researcher Award at GOECA 2018. His areas of expertise encompass Human Computing, Soft Computing, Cloud Computing, and Data Mining among others. Notably accomplished within his field thus far is filing 25 patents and securing copyrights for 16 software programs from MHRD (Ministry of Human Resource Development). He is also serving as an Editor in reputed Journals. He currently serves as the Honorary Secretary in IETA (Indian Engineering Teacher’s Association-India), alongside his role as the Senior Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd., London, UK, and International Association of Professional and Fellow Engineers-Delaware-USA.
Sneha Gautam is an Associate Professor in the Department of Civil Engineering at Karunya Institute of Technology and Sciences, Coimbatore, India. He has received his PhD (Engineering) from Indian Institute of Technology (IIT), Kharagpur, and an MTech (Environmental Science and Engineering) from the Indian Institute of Technology, Indian School of Mines (IIT - ISM) Dhanbad. After his Ph.D., he Joined INCLEN and the University of California, Berkeley, USA as Researcher, Received Post-Doctoral Fellowship from the Ministry of Science and Technology Taiwan and joined Post Doc in NCTU, Taiwan. His name has been featured three times in a row (2021, 2022, and 2023) in Top 2% Scientist of the World listed by Stanford University, USA. Jung-Sup Um received his PhD (Geography) from University of Aberdeen, UK in 1997. He is currently a Professor of Geography at Kyungpook National University. His field of interest is applications of Cyber-Physical systems, focused on smart drones about Remote Sensing and GIS. He has been awarded thirteen times Outstanding Research Awards for significant and lasting research contributions. He is editor in Chief of the journal Spatial Information Research from 1995. Editors of several books and author of more than 100 publications journals (h – Index 13, i10 – Index 28; Citations 931), He has many national and international projects. He has several patents and has received many national & international awards.
