Air pollution in Poland is a severe threat to public health and it was proven to be the main source of many lethal diseases. Across Europe, air quality in Poland is one of the worst. Thus, there is a strong demand for air quality monitoring in Poland in order to raise public awareness and to develop policies that will mitigate this huge problem. The main objective of the research was to verify measurement of the Sentinel-5 Precursor (Sentinel-5P, S-5P) satellite product - tropospheric NO2 column number density - generated by the European Space Agency (ESA) to support air pollution monitoring in Poland. In this respect, the products were validated against in-situ measurements provided by the The Chief Inspectorate for Environmental Protection (GIOS). Furthermore, there were performed analyses about cloudy to verify what are the limitations of the Sentinel-5P NO2 product. There were carried out analyses for each month in the period July-December 2018. In-situ data from 117 ground stations were used. The results of S-5P were compared with the data from all ground stations and according to area types (urban, suburban, villages and no build-up areas). The study proved a Pearson correlation coefficient of the Sentinel-5P product with the in-situ measurement as follows: S-5P vs. all station R=0.55, S-5P vs. urban station R=0.55, S-5P vs. suburban station R=0.63, S-5P vs. village and no build-up areas R=0.55. C.a. 90-100 cloudless pixels were available for each area in the analysed period. Image was usually performed twice a day, so there were 45-50 cloudless days. The fewest images were available in December (2-4 images) and July (11-12 images). Most in August, c.a. 25 images. Moreover, there was recognised the spatial distribution of NO2 in Poland. The study revealed, NO2 level was the highest in the Warsaw and its suburbs, in the area of Lodz and its suburbs, Upper Silesia Metropolis, and Cracow. Relatively higher NO2 emissions were noticed in Wroclaw and Opole. The lowest level of NO2 was revealed in the north of Poland – in Pomerania also Warmia and Masuria.
KEYWORDS: LIDAR, Smoothing, Aerosols, Signal attenuation, Filtering (signal processing), Atmospheric particles, Signal processing, Atmospheric optics, Backscatter, Signal to noise ratio
Multiwavelength micropulse lidar (MML) designed for continuous optical sounding of the atmosphere is presented. A
specific signal processing technique applying two directional Kalman filtering is introduced in order to enhance signal
to noise ratio. Application of this technique is illustrated with profiles collected in course of COAST 2009 and
WRNP 2010 research campaigns.
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