Study traces black carbon sources in the Russian Arctic

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According to a new study published in the journal Proceedings of the National Academy of Sciences, 35% of black carbon in the Russian Arctic originates from residential heating sources, 38% comes from transport, while open fires, power plants, and gas flaring are responsible for only 12%, 9%, and 6% respectively. These estimates confirm previous work for some areas of the European Arctic, but for Siberia, the findings differ from previous research, which had suggested that contribution from gas flaring were much higher.

According to a new study published in the journal Proceedings of the National Academy of Sciences, 35% of black carbon in the Russian Arctic originates from residential heating sources, 38% comes from transport, while open fires, power plants, and gas flaring are responsible for only 12%, 9%, and 6% respectively. These estimates confirm previous work for some areas of the European Arctic, but for Siberia, the findings differ from previous research, which had suggested that contribution from gas flaring were much higher.

Black carbon, or soot, increases snow and ice melt by dulling the reflective surface and increasing the absorption of sunlight. Researchers say this is one reason that Arctic regions have warmed faster than any other area on the planet, with average temperatures there today over 4°C higher than the 1968-1996 average, according to the US National Oceanic and Atmospheric Association (NOAA).  Black carbon may also be contributing to the steep decline in summer Arctic sea ice coverage in recent decades.

“Reducing black carbon pollution holds some potential for climate change mitigation, especially in the Arctic, but in order to take effective action, we have to know where it is coming from. This study provides better data, but also shows that we need more information about source structure and spatial distribution of pollution in the Arctic,” explains IIASA researcher Zbigniew Klimont, who worked on the study.

Continue reading at International Institute for Applied Systems Analysis

Picture courtesy: Anton Dit via Wikimedia Commons