Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 2

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  ambient air quality
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
EN
This study identified the spatial distribution pattern of the ambient air quality in the Yogyakarta Urban Area. It was performed to determine the distribution pattern of SO2, CO, and NO2 concentrations for 2016–2019 (pre-pandemic) and 2020 (during pandemic). Furthermore, the spatial analysis was performed using the Inverse Distance Weighting interpolation method. This study proved that spatial modeling using this method has good accuracy, and it is easier to map the distribution pattern of ambient air quality. In 2020, most of the locations met the quality standard (62.64%). As a result, the SO2 and CO parameters immediately showed that most conditions are satisfactory. In 2016, the SO2 parameters met the quality standards at 74.24% of locations. In 2020, the number increased to 85.71%. In addition, the CO parameter reached the quality standard at 81.82% of locations in 2016 and a perfect level of 100% in 2020. This occurred due to the effects of the COVID-19 pandemic because most human and business activities decreased drastically. Therefore, all studies can be used as the basis for air quality modeling and post-COVID-19 predictions. This study is also important as a policy material in the monitoring and management system of ambient air quality in urban areas.
2
Content available Exposure to Aerosols Particles on an Urban Road
EN
Traffic-related emissions, apart from emissions from fuel combustion for heating purposes, significantly deteriorate air quality in cities. The above mainly concerns areas located close to busy traffic routes. According to epidemiological studies, traffic-related emissions have an adverse health effect. This specifically affects commuters (drivers and car passengers) as well as pedestrians. The aim of this study was to determine the variations of particle number and mass concentrations along a busy road in Lublin, Poland and their impact on the particle exposure for commuters and pedestrians. On-route and fixed-site measurements were performed in the summer (June) with a focus on peak and off-peak traffic hours and road sections with low and high traffic intensity. During peak hours, the average number concentration of ultrafine particles (PN0.1) in the road section near 4-way traffic intersections (TIs) was about 2 times higher than during off-peak hours. The average mass concentration of fine particles (PM2.5) was also approximately twice as high than in off-peak hours. Similar relations were found for other measured aerosol particles as well as with respect to particle exposure. The obtained results indicate the need for further extended research on traffic-related emissions and exposure and the ways of limiting them.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.