Vehicle Exhaust Remote Sensing Device Method to Screen Vehicles for Evaporative Running Loss Emissions.
Gary A BishopTimothy H DeFriesJames A SidebottomJames M KemperPublished in: Environmental science & technology (2020)
Vehicle hydrocarbon (HC) emissions can be emitted from either tailpipe or nontailpipe locations, and understanding their fleet apportionment is important for a successful air pollution policy. Vehicles initially misidentified as having elevated tailpipe HC emissions first indicated that roadside exhaust sensors could detect the presence of evaporative HC emissions as increased noise in the HC/carbon dioxide (CO2) correlation measurement. The 90th percentile of the largest residual of the HC/CO2 correlation is defined as a running loss index (RLI) for each measurement. An RLI that is three standard deviations or greater above the instrument noise indicates possible evaporative running loss emissions with the probability increasing with larger RLI values. Two databases of vehicle emission measurements previously collected in West Los Angeles in 2013 and 2015 were screened using this method. The screening estimated that 0.09% (31/33,806) and 0.18% (49/27,413) of the attempted measurements indicated evaporative running loss emissions from a 9-year-old fleet. California LEV I certified vehicles (1994-2003 model years) accounted for the largest age group for both. The minimum detection limits for the instrument used were estimated at 2.8 and 1.6 g/mile on a propane basis for the 2013 and 2015 data, respectively, or 32-56 times the Federal Tier 2 and Tier 3 standards of 0.05 g/mile.
Keyphrases
- air pollution
- municipal solid waste
- carbon dioxide
- high intensity
- life cycle
- particulate matter
- healthcare
- public health
- mental health
- big data
- heavy metals
- electronic health record
- lung function
- high throughput
- machine learning
- chronic obstructive pulmonary disease
- risk assessment
- health risk
- patient reported outcomes
- cystic fibrosis
- data analysis