Investigation of the 2010 July–August fires impact on carbon monoxide atmospheric pollution in Moscow and its outskirts, estimating of emissions

Fokeeva, E. V.; Safronov, A. N.; Rakitin, V. Yu.; Yurganov, Leonid; Grechko, E. I.; Shumskii, R. A.

doi:10.1134/s0001433811060041

Cited by 34 publications

(26 citation statements)

References 28 publications

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“…Significant differences between the MOPITTv4 and v5 TIR channels were not revealed. The sharp distinctions between the MOPITTv4 and experimental CO total column values for OAPI and ZSS were discussed earlier in [4,6].…”

Section: A Comparison Of Co Total Column Measurements With the Mopittmentioning

confidence: 99%

“…The comparisons of CO total column ground-based measurements obtained from the OIPA and ZSS stations with MOPITTv4, AIRS and IASI satellite data were published previously, see details [4,6]. In this study, we turn our attention to a new multispectral data processing algorithm derived from the Terra/MOPITT (MOPITTv5) sensor.…”

Section: Satellite Measurementsmentioning

confidence: 99%

“…The grey color in Figure 11 corresponds to the peat bogs located near Moscow [4]. The peat bogs percentage of the total emission was defined by the hot spot positions (not by the categories of the GLC-2000 land cover map).…”

Section: Fire Emission Inventories Comparisonsmentioning

confidence: 99%

“…First, a bottom wildfire becomes a surface peat fire, and then it becomes an underground peat fire near tree roots and stems, see [1,2]. It is worth noting that peat fires have occurred regularly in the Moscow region; for example, peat fires were reported in the summer of 2002 (e.g., [3,4]). …”

Section: Introductionmentioning

confidence: 99%

“…First problem was concerned the fact that the AIRS (Atmospheric Infrared Sounder) [16], MOPITT (Measurements of Pollution in the Troposphere) [17], and IASI (Infrared Atmospheric Sounding Interferometer) [18] satellite sensors have low sensitivity to pollutants in the lower troposphere up to approximately 2 km in altitude. A comparison between data from the MOPITTv4, AIRS and IASI with the ground-based total column data obtained from the OIPA (Obukhov Institute of Atmospheric Physics) and MSU (Moscow State University) stations was presented in previous studies [4,6]. However, the MOPITT multispectral technique has been applied to improve the sensitivity of the MOPITT (see about the MOPITT v5 in [19] and [20] and about the MOPITT v6 in [21], March 2013).…”

Section: Introductionmentioning

confidence: 99%

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Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations

Safronov¹,

Fokeeva²,

Rakitin³

et al. 2014

Remote Sensing

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Abstract:The spatial and temporal distributions of the carbon monoxide (CO) concentration were calculated with the Regional Atmospheric Modeling System and Hybrid Particle and Concentration Transport model (RAMS/HYPACT) in the provinces near Moscow during the abnormally hot summer of 2010. The forest, steppe and meadow hot spots were defined by the satellite data MCD14ML (MODIS Terra and Aqua satellite data). The calculations indicated that the surface CO concentrations from the model were two times less than the experimental data obtained from the Moscow State University ataset. The M and Zvenigorod Scientific Station (ZSS). Conversely, the total column CO concentrations obtained from the model were two to three times larger than the experimental values obtained from the Obukhov Institute of Atmospheric Physics (OIAP) and ZSS stations. The vertical transfer of pollutants was overestimated. Tentatively, it could be assumed that an aerosol influence in the model calculations is a reason for the overestimation. The comparisons between the wind speed, temperature and humidity profiles calculated in the model with the data from the standard balloon sounding exhibited good agreement. The CO total column data of the Measurements of Pollution in the Troposphere (MOPITTv5 NIR and TIR/NIR) obtained from the OIAP and ZSS stations appear more realistic than do the MOPITTv4 data. However, the surface MOPITT values of CO concentration for Moscow have the large distinction from the ground measurements. OPEN ACCESSRemote Sens. 2015, 7 396A careful proposal regarding satellite orbit optimization was made, which could improve future spectrometric measurements, such as the MOPITT, Atmospheric Infrared Sounder (AIRS) and Infrared Atmospheric Sounding Interferometer (IASI) measurements.

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Section: A Comparison Of Co Total Column Measurements With the Mopittmentioning

confidence: 99%

Section: Satellite Measurementsmentioning

confidence: 99%

Section: Fire Emission Inventories Comparisonsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations

Safronov¹,

Fokeeva²,

Rakitin³

et al. 2014

Remote Sensing

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Distribution of Trace Gases and Aerosols in the Troposphere Over Siberia During Wildfires of Summer 2012

et al. 2018

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The results of sensing of the gas and aerosol composition of the atmosphere with the Optik Tu‐134 aircraft laboratory in the period from 31 July to 1 August 2012 are presented. The measurements were conducted along the flight route Novosibirsk‐Tomsk‐Mirny‐Yakutsk‐Bratsk‐Novosibirsk. A significant part of the Siberian territory during this period was covered by numerous forest fires. The synoptic situation during the measurements was characterized by the presence of low‐gradient field. This fact determined the low rate of transport and diffusion of pollutants and their accumulation in the region under study. The maximal concentrations of CO2, CH4, and CO over fire zones achieved 432 ppm, 2367 ppb, and 4036 ppb, respectively. The aerosol particle number density in emission plumes achieved 4400 cm−3. Outside emission plumes, the concentration ranged within 400–1000 cm−3 depending on the region. The mass concentration of aerosol in plumes increased approximately 7 times (6.9). The enrichment of the concentration of some elements and ions in the plume with respect to the background varied from 1.3 to 9.1 times. The generation of ozone from biomass burning products was observed at plume boundaries. Two versions of this process are possible: ozone generation under and above the plume.

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Long-Term Trends of Carbon Monoxide Total Columnar Amount in Urban Areas and Background Regions: Ground- and Satellite-based Spectroscopic Measurements

et al. 2018

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Investigation of the 2010 July–August fires impact on carbon monoxide atmospheric pollution in Moscow and its outskirts, estimating of emissions

Cited by 34 publications

References 28 publications

Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations

Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations

Distribution of Trace Gases and Aerosols in the Troposphere Over Siberia During Wildfires of Summer 2012

Long-Term Trends of Carbon Monoxide Total Columnar Amount in Urban Areas and Background Regions: Ground- and Satellite-based Spectroscopic Measurements

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