Putting Next Generation Sensors and Scientists in Practice to Reduce Wood Smoke in a Highly Impacted, Multicultural Rural Setting (NextGenSS)EPA Grant Number: R836185
Title: Putting Next Generation Sensors and Scientists in Practice to Reduce Wood Smoke in a Highly Impacted, Multicultural Rural Setting (NextGenSS)
Investigators: Karr, Catharine J. , Austin, Elena , Black, Jessica , Larson, Timothy V. , Riley, Erin , Seto, Edmund , Simpson, Christopher , Yost, Michael
Institution: University of Washington , Heritage University
EPA Project Officer: Callan, Richard
Project Period: August 1, 2016 through July 31, 2019
Project Amount: $749,999
RFA: Air Pollution Monitoring for Communities (2014) RFA Text | Recipients Lists
Research Category: Environmental Justice , Air Quality and Air Toxics , Air , Airborne Particulate Matter Health Effects , Particulate Matter
We propose to:
- Deploy next generation low cost air particle sensors in student directed studies pertaining to heavy wood smoke impacts in their rural community,
- Evaluate sensor effectiveness in these collaborative studies, and
- Identify effective platforms for data dissemination and communication by students to the broader community through multigenerational and multi-cultural outreach.
- Spatiotemporal variability,
- Associations with cardiopulmonary health, and
- Impact of interventions.
Students will disseminate the findings to their families, elders, and other community members. Evaluation will include student experience using sensors and field reliability and validation testing by comparison to local fixed site and validated field measurement data.
Expected outputs include:
- A curriculum adaptable for use in other settings incorporating use of low cost sensors and
- High-quality data on wood smoke exposure, impacts, and interventions in a rural area.
Expected outcomes include: a new multi-cultural partnership to address shared high priority environmental health concerns, reduced wood smoke emissions leading to improved respiratory health for susceptible individuals, and information relevant for policy prioritization and decision making on air quality improvement.