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Journals
Atmosphere
Special Issues
Wildland Fire under Changing Climate
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Wildland Fire under Changing Climate

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 7948

Special Issue Editor

Dr. Hiroshi Hayasaka

E-Mail Website
Guest Editor
Arctic Research Center, Hokkaido University, Sapporo 0010021, Japan
Interests: wildland fire; risk analysis; climate change; weather; forests and climate change; fire; environment; vegetation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Large-scale fires are becoming more frequent due to the rise in temperature and the accompanying decrease in humidity under climate change in recent years. This special issue is attempted to collect papers on fires around the world from high latitudes to the tropics such as fires in boreal and temperate forests, fires in the Mediterranean climate, tundra and peat fires, agricultural residue fires, fires caused by deforestation and land use changes and so on.

  • What are fuels and causes of the fire?
  • What are the latest fire trends, fire seasons, and fire distributions?
  • How do fires vary and impact climate and air quality?
  • What are impacts of fires on the projected changes of land cover/land use changes?
  • How can remote sensing and geospatial technologies aid in mapping, monitoring, and quantification? 

We invite articles from international researchers working on fires, air pollution, and the above questions related to fire-atmospheric interactions.

Dr. Hiroshi Hayasaka
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wildland fire
  • tundra fire
  • peat fire
  • hotspot
  • climate change
  • fire weather
  • air pollution
  • deforestation
  • land use change

Published Papers (4 papers)

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Research

13 pages, 2586 KiB  
Article
Spatial Clustering of Vegetation Fire Intensity Using MODIS Satellite Data
by Upenyu Naume Mupfiga, Onisimo Mutanga, Timothy Dube and Pedzisai Kowe
Atmosphere 2022, 13(12), 1972; https://doi.org/10.3390/atmos13121972 - 25 Nov 2022
Cited by 1 | Viewed by 1585
Abstract
This work analyses the spatial clustering of fire intensity in Zimbabwe, using remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) active fire occurrence data. In order to investigate the spatial pattern of fire intensity, MODIS-derived fire radiative power (FRP) was utilized. A local indicator [...] Read more.
This work analyses the spatial clustering of fire intensity in Zimbabwe, using remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) active fire occurrence data. In order to investigate the spatial pattern of fire intensity, MODIS-derived fire radiative power (FRP) was utilized. A local indicator of spatial autocorrelation method, the Getis-Ord (Gi*) spatial statistic, was applied to show the spatial distribution of high and low fire intensity clusters. Analysis of the relationship between topographic variables, vegetation type, agroecological zones and fire intensity was done. According to the study’s findings, the majority (44%) of active fires detected in the study area in 2019 were of low-intensity (cold spots), and the majority (49.3%) of them occurred in shrubland. High-intensity fires (22%) primarily occurred in the study area’s eastern and western regions. The study findings demonstrate the utility of spatial statistics methods in conjunction with satellite fire data in detecting clusters of high and low-intensity fires (hot spots and cold spots). Full article
(This article belongs to the Special Issue Wildland Fire under Changing Climate)
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19 pages, 3602 KiB  
Article
Seasonal Characteristics of Atmospheric PM2.5 in an Urban Area of Vietnam and the Influence of Regional Fire Activities
by Quang Trung Bui, Duc Luong Nguyen and Thi Hieu Bui
Atmosphere 2022, 13(11), 1911; https://doi.org/10.3390/atmos13111911 - 16 Nov 2022
Cited by 1 | Viewed by 2296
Abstract
This study investigated the seasonal variation and chemical characteristics of atmospheric PM2.5 at an urban site in Hanoi City of Vietnam in summer (July 2020) and winter (January 2021) periods. The study results showed that the average value of daily PM2.5 [...] Read more.
This study investigated the seasonal variation and chemical characteristics of atmospheric PM2.5 at an urban site in Hanoi City of Vietnam in summer (July 2020) and winter (January 2021) periods. The study results showed that the average value of daily PM2.5 concentrations observed for the winter period was about 3 times higher than the counterpart for the summer period. The concentrations of major species in atmospheric PM2.5 (SO42−, NH4+, K+, OC and EC) measured during the winter period were also significantly higher than those during the summer period. The contribution of secondary sources to the measured OC (the largest contributor to PM2.5) was larger than that of primary sources during the winter period, compared to those in the summer period. The correlation analysis among anions and cations in PM2.5 suggested that different sources and atmospheric processes could influence the seasonal variations of PM2.5 species. The unfavorable meteorological conditions (lower wind speed and lower boundary layer height) in the winter period were identified as one of the key factors contributing to the high PM2.5 pollution in this period. With the predominance of north and northeast winds during the winter period, the long-range transport of air pollutants which emitted from the highly industrialized areas and the intensive fire regions in the southern part of China and Southeast Asia region were likely other important sources for the highly elevated concentrations of PM2.5 and its chemical species in the study area. Full article
(This article belongs to the Special Issue Wildland Fire under Changing Climate)
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13 pages, 1897 KiB  
Article
Wildfire Effects on Cryosols in Central Yakutia Region, Russia
by Ekaterina Chebykina, Vyacheslav Polyakov, Evgeny Abakumov and Alexey Petrov
Atmosphere 2022, 13(11), 1889; https://doi.org/10.3390/atmos13111889 - 11 Nov 2022
Cited by 2 | Viewed by 1431
Abstract
Forest fires are one of the most significant types of disturbance on a global scale, affecting biodiversity and biogeochemical cycles and playing an important role in atmospheric chemistry and the global carbon cycle. According to a remote monitoring information system, forest fires in [...] Read more.
Forest fires are one of the most significant types of disturbance on a global scale, affecting biodiversity and biogeochemical cycles and playing an important role in atmospheric chemistry and the global carbon cycle. According to a remote monitoring information system, forest fires in Yakutia were the largest wildfires in the world in 2021. In this regard, mature pale-yellow soils unaffected by fire were investigated in comparison with the same soils that were strongly affected by surface fire in 2021 in the area surrounding Yakutsk, Yakutia region. Data obtained showed an intensive morphological transformation of the topsoil layers, increase of total organic matter and slight increase of pH, and apparent decrease of basal respiration and content of microbial biomass. A slight accumulation of Zn and Ni in soils due to wildfires was recorded, as well as alteration in the distributions of heavy metals in the soil profile. Moreover, an electric resistivity study was carried out during field studies. An influence of forest fire on the electrical resistivity value was not reliably found, but the vertical electrical resistivity sounding provided precise data regarding the degree of soil-permafrost layer homogeneity and/or heterogeneity. Full article
(This article belongs to the Special Issue Wildland Fire under Changing Climate)
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17 pages, 4850 KiB  
Article
Fire Weather Conditions in Boreal and Polar Regions in 2002–2021
by Hiroshi Hayasaka
Atmosphere 2022, 13(7), 1117; https://doi.org/10.3390/atmos13071117 - 15 Jul 2022
Cited by 8 | Viewed by 1550
Abstract
Fire activity in 288 areas (2.5° N × 10° E) in the Arctic region (50°–70° N, 0°–360° E) was analyzed using about 4.4 million satellite hotspot (HS) data from 2002 to 2021. A total of 21 high fire density areas from eastern Europe [...] Read more.
Fire activity in 288 areas (2.5° N × 10° E) in the Arctic region (50°–70° N, 0°–360° E) was analyzed using about 4.4 million satellite hotspot (HS) data from 2002 to 2021. A total of 21 high fire density areas from eastern Europe to western Canada were selected, and their fire–weather conditions during each active fire period were analyzed using about 1820 various weather maps at the upper and the lower air level. Analysis results showed that the active fires in the Arctic region occurred under the fire–weather conditions associated with the northward movement of cut-off high (COH) and warm air masses detached from the south caused by large westerly meandering (LWM). LWM is a sign of the beginning of an active fire period. Very active fires on HS peak days occurred several days after the start of the northward movement of COHs and under mainly high-pressure conditions in the upper air and strong wind conditions in the lower air. The time lag of these several days suggests that we may be prepared for very active fires. The fire–weather analysis approach described in this paper has shown that future large-scale fire outbreaks are predictable. Full article
(This article belongs to the Special Issue Wildland Fire under Changing Climate)
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