Reprint

Advances in Air Quality Monitoring and Assessment

Edited by
October 2021
236 pages
  • ISBN978-3-0365-2140-4 (Hardback)
  • ISBN978-3-0365-2139-8 (PDF)

This book is a reprint of the Special Issue Advances in Air Quality Monitoring and Assessment that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

"Advances in Air Quality Monitoring and Assessment" provides an overview of recent advances in environmental monitoring and assessment, which includes the design, development and application of advanced monitoring systems based on cutting-edge scientific knowledge. The chapters of the book highlight two thematic areas of AQ monitoring that researchers currently focus on: (i) the improvement of AQ monitoring methods and (ii) use of the AQ data in order to better assess the impact of air pollution on the environment and health.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
data interpolation; anomaly detection; bootstrap; fine dust; PM2.5; PM2.5; spatiotemporal characteristics; back-trajectory clustering; potential source contribution; concentration weighted trajectory; PM2.5; VOC; volatile organic compounds; prooxidants; electrophiles; tumor necrosis factor alpha; hemeoxygenase-1; ambient air; antioxidant response element; murine RAW 264.7 macrophages; 13th Five-Year Plan; pollution episode; WRF-Chem; emission control scenario; PRD; particulate matter; aerosols; vehicular exhaust; industrial activity; WHO; NEQS; US-EPA; POPs; PAHs; PCDD/Fs; PCBs; industrial site; Greece; air quality; Euclidean Distance; spatial coverage; air quality monitoring network; sustainability monitoring; PM and gaseous air pollutants; air pollution monitoring; low-cost PM sensors; sensor calibration; emergency lockdown; portable emissions measurement system; moving averaging window; real-world NOx emission; heavy-duty diesel vehicle; evaluation method; COVID-19; lockdown; acidifying gases; aerosols; greenhouse gases; ozone precursors; road transportation; Colombia; settled house dust; PAHs; metals; enrichment factor; sources; health risk assessment; p-type sensor; Al-doped NiO; rf sputtering; ozone gas sensing; count data; correlation; regression models; n/a