Comparison of spatial and temporal variations of aerosol optical thickness and particulate matter over Europe

Koelemeijer, R.; Homan, C. D.; Matthijsen, J.

doi:10.1016/j.atmosenv.2006.04.044

Cited by 357 publications

(251 citation statements)

References 15 publications

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“…Many other factors may also affect the seasonal variations of atmospheric PM 10 concentrations. Lower boundary layer height often leads to higher atmospheric PM concentrations (Koelemeijer et al, 2006), and the boundary layer height of sampling sites was higher in summer than winter (Emmons et al, 2010). Prevailing winds from severely contaminated regions can bring more PMs to the sampling sites.…”

Section: Seasonal Variation In Pm 10 Concentrationsmentioning

confidence: 99%

Distribution of atmospheric particulate matter (PM) in rural field, rural village and urban areas of northern China

Wang

et al. 2014

Environmental Pollution

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a b s t r a c tAtmospheric PM 10 were measured for 12 months at 18 sites along a 2500 km profile across northern China. Annual mean PM 10 concentrations in urban, rural village, and rural field sites were 180 AE 171, 182 AE 154, and 128 AE 89 mg/m 3 , respectively. The similarities in PM 10 concentrations between urban and rural village sites suggest that strong localized emissions and severe contamination in rural residential areas are derived from solid fuels combustion in households. High PM 10 concentrations in Wuwei and Taiyuan were caused by either sandstorms or industrial activities. Relatively low PM 10 concentrations were observed in coastal areas of Dalian and Yantai. Particulate air pollution was much higher in winter and spring than in summer and fall. Multiple regression analysis indicates that 35% of the total variance can be attributed to sandstorms, precipitation and residential energy consumption. Over 40% of the measurements in both urban and rural village areas exceeded the national ambient air quality standard.

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Section: Seasonal Variation In Pm 10 Concentrationsmentioning

confidence: 99%

Distribution of atmospheric particulate matter (PM) in rural field, rural village and urban areas of northern China

Wang

et al. 2014

Environmental Pollution

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“…In winter, there is a significant amount of wet deposition of aerosols, which will cause a cleaning of the atmosphere and therefore lower AOD values. Koelemeijer et al (2006) high precipitation in winter leads to low AOD values. They observed an anti-correlation (−0.41 for the region of Belgium and The Netherlands) between precipitation and mean monthly AOD.…”

Section: Seasonal and Monthly Variabilitymentioning

confidence: 99%

Aerosol Optical Depth measurements at 340 nm with a Brewer spectrophotometer and comparison with Cimel sunphotometer observations at Uccle, Belgium

et al. 2010

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Abstract. The Langley Plot Method (LPM) is adapted for the retrieval of Aerosol Optical Depth (AOD) values at 340 nm from Brewer#178 sun scan measurements between 335 and 345 nm (convoluted with the band pass function of the Cimel sunphotometer filter at 340 nm) performed in Uccle, Belgium. The use of sun scans instead of direct sun measurements simplifies the comparison of the AOD values with quasi-simultaneous Cimel sunphotometer values. Also, the irradiance at 340 nm is larger than the one at 320.1 nm due to lower ozone absorption, thus improving the signal to noise ratio. For the selection of the cloudless days (from now on referred to as calibration quality clear days), a new set of criteria is proposed. With the adapted method, individual clear sky AOD values, for which the selection criteria are also presented in this article, are calculated for a period from September 2006 until the end of August 2010. These values are then compared to quasi-simultaneous Cimel sunphotometer measurements, showing a very good agreement (the correlation coefficient, the slope and the intercept of the regression line are respectively 0.974, 0.968 and 0.011), which proves that good quality observations can be obtained from Brewer sun scan measurements at 340 nm. The analysis of the monthly and seasonal Brewer AODs at Uccle is consistent with studies at other sites reporting on the seasonal variation of AODs in Europe. The highest values can be observed in summer and spring, whereas more than 50% of the winter AODs are lower than 0.3. On a monthly scale, the lowest AOD are observed in December and the highest values occur in June and April. No clear weekly cycle is observed for Uccle. The current cloud-screening algorithm is still an issue, Correspondence to: V. De Bock (veerle.debock@meteo.be) which means that some AOD values can still be influenced by scattered clouds. This effect can be seen when comparing the calculated monthly mean values of the Brewer with the AERONET measurements.

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“…The relation between PM and AOT is obtained for a single homogeneous layer of atmosphere which contain spherical aerosol particulates. The mass concentration at the surface is obtained after drying the sampled air, given by Koelemeijer, et al [41].…”

Section: Pm10 Algorithm Modelmentioning

confidence: 99%

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2017

Journal of Asian Scientific Research

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Article HistoryPalestine faces economic and political issues such as conflict, siege and urbanization; all these have led to an increase in the air pollution over Gaza Strip. In this study, Particulate matter 10 (PM10) concentrations over Gaza Strip has been estimated by Landsat Thematic Mapper (TM) and Landsat Enhanced Thematic Mapper Plus (ETM+) data, based on a multispectral algorithm. Simultaneously, in-situ measurements for the corresponding particulate are acquired for selected time period. Landsat and ground data for eleven years are used to develop the algorithm while four years data (2002, 2006, 2010 and 2014) have been used to validate the results of algorithm. The developed algorithm gives highest regression, R coefficient value i.e. 0.86; RMSE value as 9.71 µg/m³; P values as 0. Average validation of algorithm show that calculated PM10 strongly correlates with measured PM10, indicating high efficiency of algorithm for the mapping of PM10 concentration during the years 2000 to 2014. Overall results show increase in minimum, maximum and average yearly PM10 concentrations, also presents similar trend over urban area. The rate of urbanization has been evaluated by supervised classification of the Landsat image. Urban sprawl from year 2000 to 2014 results in a high concentration of PM10 in the study area.

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Comparison of spatial and temporal variations of aerosol optical thickness and particulate matter over Europe

Cited by 357 publications

References 15 publications

Distribution of atmospheric particulate matter (PM) in rural field, rural village and urban areas of northern China

Distribution of atmospheric particulate matter (PM) in rural field, rural village and urban areas of northern China

Aerosol Optical Depth measurements at 340 nm with a Brewer spectrophotometer and comparison with Cimel sunphotometer observations at Uccle, Belgium

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