There are ten SENAMHI stations that measure PM2.5 and PM10 concentrations in Lima, Peru. These 10 monitoring stations are Thermo Beta 5014i monitors utilizing; the beta ray attenuation method and are calibrated three times a year (February, June, and October starting in October 2014) [33 ]. SENAMHI stations recorded daily mean measurements of PM10 starting in 2010 and PM2.5 from 2014 to 2016, and its ten sites contributed 6389 daily observations from 2014 to 2016. Additionally, data from 15 mobile air quality monitors located in Pampas de San Juan de Miraflores were provide by Johns Hopkins University (JHU stations) [34 ]. These monitors provided one mean estimate each week from November 2011 to March 2013, and were interpolated to the daily level by giving the six preceding days the same concentration as the measured value on the seventh day. One-km2 grids that contained more than 1 JHU station were averaged, which reduced the number of stations from 15 to 6. The JHU sites provided 2081 daily observations from six grid cells to the model fitting dataset. Table 1 shows the elevation and total number of measurements available at each monitor and their respective network.
Beta 5014i
Manufactured by Thermo Fisher Scientific
The Beta 5014i is a laboratory instrument designed for the analysis of alpha and beta radioactivity. It features high-performance detection capabilities and can be used for a variety of applications in the field of radiochemistry and environmental monitoring.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using beta 5014i
1
PM2.5 and PM10 Monitoring in Lima, Peru
2
PM2.5 and PM10 Monitoring in Lima, Peru
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There are ten SENAMHI stations that measure PM2.5 and PM10 concentrations in Lima, Peru. These 10 monitoring stations are Thermo Beta 5014i monitors utilizing; the beta ray attenuation method and are calibrated three times a year (February, June, and October starting in October 2014) [33 ]. SENAMHI stations recorded daily mean measurements of PM10 starting in 2010 and PM2.5 from 2014 to 2016, and its ten sites contributed 6389 daily observations from 2014 to 2016. Additionally, data from 15 mobile air quality monitors located in Pampas de San Juan de Miraflores were provide by Johns Hopkins University (JHU stations) [34 ]. These monitors provided one mean estimate each week from November 2011 to March 2013, and were interpolated to the daily level by giving the six preceding days the same concentration as the measured value on the seventh day. One-km2 grids that contained more than 1 JHU station were averaged, which reduced the number of stations from 15 to 6. The JHU sites provided 2081 daily observations from six grid cells to the model fitting dataset. Table 1 shows the elevation and total number of measurements available at each monitor and their respective network.
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