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Full Description
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.
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
