Open robj411 opened 5 years ago
References for source apportionment: Santiago PM2.5 source apportionment—original references mentioned in WHO source apportionment database Jorquera H. Source apportionment of PM10 and PM2.5 at Tocopilla, Chile (22°05′ S, 70°12′ W). Environ Monit Assess 2009; 153: 235–51. Jorquera H, Rappenglück B. Receptor modeling of ambient VOC at Santiago, Chile. Atmos Environ 2004; 38: 4243–63. Jorquera H, Barraza F. Source apportionment of ambient PM2.5 in Santiago, Chile: 1999 and 2004 results. Sci Total Environ 2012; 435-436: 418–29.
This is a to-do list for the Santiago setting, which includes data, parameters, and any special functions required. Please add to it any items that are missing, and tick off items when they are complete.
[x] population file using agreed geographies
[x] GBD data
[x] Injury data in whw format, needs to be mapped to long form. Matrix available for the ‘region’. We do not even have total road deaths counts of the ‘city’. Have searched literature but there is nothing. Provided by Luis and Kavi. Need to ask which year is the data.
[x] Background PM2.5 distribution -- mean = 29 (2014, WHO). Using placeholder for uncertainty.
[x] PM2.5 transport fraction distribution -- mean = 0.31 (2004). Using placeholder for uncertainty.
[x] PM2.5 transport source apportionment distribution -- confidence between 0 and 1? Not confident: 0.5. EDGAR estimates of transport emission shares across the modes do not seem correct. It reports 4% of transport emissions from passenger cars. This is similar to Brazilian cities where we know ethanol is used. But I checked Chile doesn’t have that. I would use a non-ethanol city such as Bogota to estimate. Corrected emission shares (estimate 2 in brackets, file in data/local/santiago/corrected_emissions_estimates_santiago_using_bogota.csv): Buses: 0.0728 (0.034), heavy duty vehicles 0.0263 (0.112), light duty vehicles 0.187 (0.798), motorcycles 0.00565 (0.024), passenger cars 0.708 (0.032)
[x] fleet to motorcycle ratio -- see #63
[x] Travel survey
[ ] PA survey
[ ] distribution for BACKGROUND_PA_SCALAR (amount to scale non-zero, non-travel PA)
[ ] number for BACKGROUND_PA_CONFIDENCE (how confident are you about the number of zeros in the PA survey on a scale of 0 to 1?)