Assessment of presurface ozone concentration as a function a some meteorological factorsтезисы доклада Тезисы

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Дата последнего поиска статьи во внешних источниках: 18 сентября 2019 г.

Работа с тезисами доклада


[1] Assessment of presurface ozone concentration as a function a some meteorological factors / V. Lapchenko, E. Evstafeva, A. Makarova et al. // 19th International Multidisciplinary Scientific GeoConference SGEM 2019. — Vol. 19 of International Multidisciplinary Scientific GeoConference-SGEM. — Albena, Bulgaria 51 Alexander Malinov blvd, Sofia, 1712, Bulgaria, 2019. — P. 875–882. This article is devoted to assessment of presurface ozone concentration (PCO) dynamics, relevant meteorological factors and their role as risk factors for increasing PCO. During all the year of 2017 PCO daily average values in atmospheric air were essentially higher than externally the permissible level; season dynamics was characterized by two maximums in spring and summer periods. To achieve this goal, the following parameters were compared: -time series of average daily, maximum, minimum PCO (?g/m3) -average daily (oC) and maximum air temperatures (oC), -humidity (%) of atmospheric air, -speed (m/s) and wind direction, -atmospheric pressure (mm. Hg. Art.). The annual dynamics for 2017 (Russia, Southern District) was used to analyze the annual dynamics, which were compared with previous studies for 2013 and 2014. The relationship between PCO level and atmospheric characteristics (pressure, temperature, humidity) was assessed with using the linear correlation coefficient. The calculated value was compared with the critical one at a confidence level of p = 0.95. To assess the effect of wind speed on the PCO level, non-parametric statistics were used, which allow investigating samples whose distribution law is unknown or different from normal. Nine variants of a set of PCO values (corresponding to wind directions: no wind, north, north-west, west, south-west, south, southeast, east and northeast wind direction) and seven sample sets of PCO values were formed according to experimental observations from 2013 to 2017. In each group, the selected values were compared with each other and compared with the PCO level. The two hypotheses, main “The differences between PCO levels are random”, and additional "The differences between PCO levels are non-random" were put forwarded. The assessment of differences in the PCO level was carried out using the Kruskal-Wallis H-test, which allowed to establish that the level of the trait under study (PCO) depends on the group. As result the statistically significant PCO dependences on temperature, humidity, and atmospheric pressure were revealed; higher PCO values were observed at northern-eastern wind than at southern-western one. [ DOI ]

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