A case study of the effect of permafrost peat on fires in the Arctic using Sentinel-5P data

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Margit Aun , Jan-Peter George , Kerstin Stebel
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引用次数: 0

Abstract

Sentinel-5P data was used to conduct a case study of possible differences between permafrost peat and other types of wildfires in the Arctic. Ten fires from Canada, Russia, and Sweden were chosen from 2018 to 2023, with different permafrost peat fractions from 0 to 92 %. Concentrations and various ratios of CH4, CO, NO2, SO2, aerosol index, and layer height above and in proximity to the starting locations of the fires were investigated to find the effect of permafrost peat on the fire emissions. We found higher CH4 values for fires with higher than 50 % permafrost peat fraction and higher NO2 concentrations for fires with the lowest permafrost peat fraction. Among other ratios, we also looked at CH4/CO and CO/NO2 ratios as indicators of peat presence. No statistically significant correlation with peat fraction was found in the first case, and in the latter case, there was not enough data available to draw any conclusions. Relying on our results and previous studies, we see the potential of using the concentrations and composition of the atmosphere above the fires as an indicator of the fire type. Due to the complicated conditions of the Arctic with high cloud cover and large variability in the fires (intensity, area, length, fuel types), a larger scale study is needed as a next step.
使用Sentinel-5P数据对北极永久冻土泥炭对火灾影响的案例研究
哨兵- 5p数据被用于对北极永久冻土泥炭和其他类型野火之间可能存在的差异进行案例研究。从2018年到2023年,从加拿大、俄罗斯和瑞典选择了10场火灾,不同的永久冻土泥炭含量从0到92%不等。研究了多年冻土泥炭对火灾排放的影响,分析了火灾起源地上空和附近的CH4、CO、NO2、SO2的浓度和不同比值、气溶胶指数和层高。我们发现,在永久冻土泥炭分数高于50%的火灾中,CH4值较高,而在永久冻土泥炭分数最低的火灾中,NO2浓度较高。在其他比率中,我们还将CH4/CO和CO/NO2比率作为泥炭存在的指标。在第一种情况下,与泥炭分数没有统计学上显著的相关性,在后一种情况下,没有足够的数据可以得出任何结论。根据我们的结果和以前的研究,我们看到了利用火灾上方大气的浓度和成分作为火灾类型指标的潜力。由于北极地区云量大,条件复杂,火灾(强度、面积、长度、燃料类型)变化很大,因此下一步需要进行更大规模的研究。
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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