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PM10 hot-spot identification and characterisation in Prague 7 city district
Nechvátalová, Karolína ; Hovorka, Jan (advisor) ; Kozáková, Jana (referee)
Many cities suffer from poor air quality as they concentrate a large number of anthropogenic sources of air pollution, especially aerosol particles with an aerodynamic diameter of less than 10 m, PM10. Due to high urbanization, more than 50 % of the world population is exposed to urban PM10. Exposure to elevated PM10 can cause respiratory and cardiovascular diseases or premature deaths. Therefore, the Prague 7 city district concluded an agreement with the Laboratory for Air Quality Studies (Charles University, Faculty of Science) to perform detailed spatial and temporal PM10 concentrations survey on its territory. For this purpose, mobile measurements of PM10 were performed in Prague 7. The study area was divided into 6 smaller localities. One fixed route (3,4-4,5 km) was determined at each locality. In the period from December 2019 to May 2020, a total of 174 errands were performed during 10 days, regularly at 8:00, 12:00 and 17:00. The team members conducted prescribed walks with DustTrak and Garmin GPS devices, which detected every second the PM10 mass concentrations and the exact location for a purpose to synchronize the PM10 data with the detection site. Meteorological conditions were recorded by a professional meteorological station. During most of the observed days, PM10 concentrations in...
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Spatio-temporal PM2.5 variability in village during winter.
Štědrá, Karolína ; Hovorka, Jan (advisor) ; Bendl, Jan (referee)
This thesis evaluates the spatial variability of PM2.5 concentrations during two winter months in the small village Lbín close to Teplice at the turn of the year 2017/2018. The PM2.5 concentrations were monitored through a dedicated monitoring network using a total of eight DustTrak laser nephelometers (Model 8520). Six DustTraks were located directly in the village in the valley, one of them was located on the hill above the valley and the last one was located approximately in the half of the hill. Using a network measurements, we tried to determine that the household heatings are the main sources of air pollution in the village. The basic meteorological parameters - wind speed and direction, temperature and air humidity were monitored together with PM2.5 concentrations. It was observed statistically significant difference between the measuring stations, which points to the unevenly distribution of pollution sources. The particle concentrations typically reach peak values in the morning and in the evening. The maximum peak values were 2607 μg·m-3 in December and 4347 μg·m-3 in January. The lowest maximum values were 223 μg·m-3 and 177 μg·m-3 for devices located above the village. An important factor contributing to the current situation was wind speed. If the wind speed was higher than 1,29 m·s-1...
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