Small, Smart, Fast, and Cheap: Microchip-Based Sensors to Estimate Air Pollution Exposures in Rural Households

Autor: Rufus Edwards, Zohir Chowdhury, Ilse Ruiz-Mercado, L. Drew Hill, Kirk R. Smith, Charity Garland, Nicholas L. Lam, Tracy Allen, Ajay Pillarisetti, Michael Johnson, David Pennise, Charles D. Litton
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Engineering
020209 energy
Real-time computing
Air pollution
household air pollution
air exchange rate monitor
02 engineering and technology
010501 environmental sciences
lcsh:Chemical technology
medicine.disease_cause
01 natural sciences
Biochemistry
Article
Analytical Chemistry
PM2.5 monitor
Air monitoring
intrahousehold variation
Custom hardware
Air Pollution
Electrical And Electronic Engineering
0202 electrical engineering
electronic engineering
information engineering

medicine
lcsh:TP1-1185
Electrical and Electronic Engineering
Household Articles
Instrumentation
0105 earth and related environmental sciences
Data processing
Air Pollutants
stove use monitor
business.industry
time-activity monitor
field validation
Monitoring system
Atomic and Molecular Physics
and Optics

Embedded system
Particulate Matter
business
Time of use
Environmental Monitoring
Zdroj: Sensors; Volume 17; Issue 8; Pages: 1879
Pillarisetti, Ajay; Allen, Tracy; Ruiz-Mercado, Ilse; Edwards, Rufus; Chowdhury, Zohir; Garland, Charity; et al.(2017). Small, Smart, Fast, and Cheap: Microchip-Based Sensors to Estimate Air Pollution Exposures in Rural Households.. Sensors (Basel, Switzerland), 17(8), 1879-1879. doi: 10.3390/s17081879. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/3s78s29w
Sensors, Vol 17, Iss 8, p 1879 (2017)
Sensors (Basel, Switzerland)
ISSN: 1424-8220
DOI: 10.3390/s17081879
Popis: Over the last 20 years, the Kirk R. Smith research group at the University of California Berkeley-in collaboration with Electronically Monitored Ecosystems, Berkeley Air Monitoring Group, and other academic institutions-has developed a suite of relatively inexpensive, rugged, battery-operated, microchip-based devices to quantify parameters related to household air pollution. These devices include two generations of particle monitors; data-logging temperature sensors to assess time of use of household energy devices; a time-activity monitoring system using ultrasound; and a CO₂-based tracer-decay system to assess ventilation rates. Development of each system involved numerous iterations of custom hardware, software, and data processing and visualization routines along with both lab and field validation. The devices have been used in hundreds of studies globally and have greatly enhanced our understanding of heterogeneous household air pollution (HAP) concentrations and exposures and factors influencing them.
Databáze: OpenAIRE