講演情報
[AAS08-P26]Investigation and Interpreting Outlier High Concentrations of Carbon-Containing Aerosols in Atmospheric Air at the EANET Site Listvyanka
*Veronica Bezdenezhnykh1、Ekaterina Zhigacheva1、Sergey Gromov1,2 (1.Yu. A. Izrael Institute of Global Climate and Ecology、2.Institute of Geography, Russian Academy of Sciences, Moscow)
キーワード：
carbon containing aerosols、black carbon、long range transport、trajectory analysis
Starting in 2021, as part of the Expert Group on Black Carbon and Methane (EGBCM), the Black Carbon (BC) monitoring network in Russia was established. In August 2022, the first monitoring experiments started at the EANET site Listvyanka (51° 50′ 47″ N, 104° 53′ 34″ E). The daily atmospheric air samples were collected for two months to determine Carbon-containing aerosols (CA) concentrations. The sampling point was situated on the western coast of South Baikal at a mountain top (approximately 200 m above lake level). This location was chosen to minimize the influence of local pollution sources (settlement, vehicles, etc.) and to monitor the regional transport of black carbon from industrial complexes in the Baikal region. Samples were collected on paper filters continuously for 24 hours, with the time of filter change at 9:00 a.m. local time daily. The samples were analyzed in the laboratory of the Institute of Global Climate and Ecology (IGCE).
The results revealed generally stable CA concentrations over the two month monitoring period. However, one sample in August showed a value of nearly five times higher than the average concentration. To determine the possibilities and reasons for this outlier, the NOAA HYSPLIT Trajectory Model was used. At the first, backward trajectory frequency analysis was used for two monthly periods to establish typical air mass pathway patterns. Then, single backward trajectory was calculated and applied to identify the specific source regions responsible for the elevated CA levels observed at Listvyanka.
This study provides the first estimates of baseline CA concentrations for the Baikal region and demonstrates the effectiveness of using remote mountaintop monitoring sites to trace regional and long range transport of black carbon. Future work should address longer monitoring periods and other seasons in accordance with climate conditions to identify sources to CA levels in the region.
This study was carried out in the framework of the Research Project (reg. 125031703847-1) «Development of methods and technologies for monitoring of environmental pollution under the influence of transboundary pollutants transport and acid deposition (UNECE: EMEP, ICP IM; EANET». Evaluation of data and sampling conditions was conducted as part of the State Assignment of the Institute of Geography RAS Project No. FMWS-2024-0009 No.1023032700199-9.
The results revealed generally stable CA concentrations over the two month monitoring period. However, one sample in August showed a value of nearly five times higher than the average concentration. To determine the possibilities and reasons for this outlier, the NOAA HYSPLIT Trajectory Model was used. At the first, backward trajectory frequency analysis was used for two monthly periods to establish typical air mass pathway patterns. Then, single backward trajectory was calculated and applied to identify the specific source regions responsible for the elevated CA levels observed at Listvyanka.
This study provides the first estimates of baseline CA concentrations for the Baikal region and demonstrates the effectiveness of using remote mountaintop monitoring sites to trace regional and long range transport of black carbon. Future work should address longer monitoring periods and other seasons in accordance with climate conditions to identify sources to CA levels in the region.
This study was carried out in the framework of the Research Project (reg. 125031703847-1) «Development of methods and technologies for monitoring of environmental pollution under the influence of transboundary pollutants transport and acid deposition (UNECE: EMEP, ICP IM; EANET». Evaluation of data and sampling conditions was conducted as part of the State Assignment of the Institute of Geography RAS Project No. FMWS-2024-0009 No.1023032700199-9.