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Zubareva, O. N.; Скрипальщикова, Л. Н.; Greshilova, N. V.; Kharuk, V. I.

doi:10.1023/a:1027356316112

Cited by 20 publications

(2 citation statements)

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“…Averaged over 1 month, it seems that the pollution plume follows two distinctive transport pathways, one eastward and the other westward, surrounding the mountains. The entire SO 2 plume observed by IASI covers a large region of about 165,000 km 2 around Norilsk, suggesting a significant influence on its surrounding environment, as discussed in Vlasova et al [1991], Tutubalina and Rees [2001], and Zubareva et al [2003]. It is worth noting that we can distinctly observe the plume following the Plutorana Plateau (the concentrations above 300 m never being higher than 0.5 DU).…”

Section: Retrieval Parameterssupporting

confidence: 67%

“…We focus on the industrial area of Norilsk, situated in northwestern Siberia. This region is well known for the extraction of heavy metals (nickel, copper, …) and for its extreme levels of pollution, which are directly responsible for the degradation and contamination of the surrounding environment [Vlasova et al, 1991;Blais et al, 1999;Tutubalina and Rees, 2001;Allen-Gil et al, 2003;Zubareva et al, 2003] and which contribute to the Arctic air pollution [Law and Stohl, 2007;Hirdman et al, 2010]. Indeed, Norilsk's smelters emit each year significant quantities of heavy metals in the atmosphere [Boyd et al, 2009;Fukasawa et al, 2000] but also of acidifying gases, especially Journal of Geophysical Research: Atmospheres 10.1002/2013JD021405 sulfur dioxide (SO 2 ) [Arctic Monitoring andAssessment Programme (AMAP), 1998, 2006;Fukasawa et al, 2000].…”

Section: Introductionmentioning

confidence: 99%

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IASI observations of sulfur dioxide (SO₂) in the boundary layer of Norilsk

et al. 2014

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Norilsk is one of the most polluted cities in the world, largely because of intense mining of heavy metals. Here we present satellite observations of SO2 in a large area surrounding the city, derived from 4 years of measurements from the Infrared Atmospheric Sounding Interferometer (IASI), the nadir thermal infrared (TIR) sounder onboard the MetOp platforms. TIR instruments are conventionally considered to be inadequate for monitoring near‐surface composition, because their sensitivity to the lowest part of the atmosphere is limited by the thermal contrast between the ground and the air above it. We demonstrate that IASI is capable of measuring SO2 (here as a partial column from 0 to 2 km) in Norilsk, thanks to the large temperature inversions and the low humidity in wintertime. We discuss the influence of thermal contrast and of surface humidity on the SO2 retrieved columns and estimate the retrieval errors. Using a simple box model, we derive the yearly total emissions of SO2 from Norilsk and compare them to previously reported values. More generally, we present in this work the first large‐scale demonstration of the capability of space‐based TIR sounders to measure near‐surface SO2 anthropogenic pollution.

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Section: Retrieval Parameterssupporting

confidence: 67%

Section: Introductionmentioning

confidence: 99%

IASI observations of sulfur dioxide (SO₂) in the boundary layer of Norilsk

et al. 2014

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Satellite radar imagery for monitoring inland wetlands in boreal and sub‐arctic environments

Bartsch

Kidd²,

Pathe

et al. 2007

Aquatic Conservation

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ABSTRACT1. Knowledge about the distribution and types of wetlands is in high demand by ecosystem modellers for full greenhouse gas accounting. The scope of this paper is to demonstrate the suitability of satellite radar data for the delineation of wetlands in the tundra and boreal forest biomes of central Siberia.2. An area of more than 3 million km 2 in central Siberia was investigated using satellite data. It covers freshwater ecosystems of the tundra and non-forested peatlands in tundra and boreal forest biomes. The satellite data represent the growing seasons of 2003/2004. 3. Microwave data were acquired by the Advanced Synthetic Aperture Radar (ASAR) instrument onboard ENVISAT. The multi-temporal capabilities and resolution (150 m Â 150 m in WS mode) of the ASAR wide swath mode enabled the detection of dynamic features >2 ha over this vast area. Scatterometer (QuikScat) data could be employed to distinguish hydro-periods.4. Wetland types have been identified on the basis of seasonal changes in backscatter. In a first step scatterometer data were used to identify the transition period from frozen to unfrozen conditions over a range of 158 latitude. Inundation patterns and soil moisture changes could be identified for the different hydro-periods and used to classify wetlands. Results for peatlands have been compared with Russian forest inventory data which contain information on wetland distribution.5. The database of permanently inundated areas is an intermediate product which enables the mapping of wetlands in two ways: (1) identification of seasonal inundation in relation to snowmelt and high permafrost tables and (2) input for density analysis of permanent small and shallow lakes in tundra areas which are important freshwater ecosystems as well as a methane source. Differences in intensity and duration of soil moisture conditions allow the identification of peatlands.

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