Dr. Hiroshi Hayasaka
Arctic Research Center, Hokkaido University
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Academic Career Length
21Years (2006-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 December 2014 in Environmental Pollution
Journal Article
Hiroshi HayasakaINIzumi Noguchi
Izumi NoguchiEPErianto Indra Putra
Erianto Indra PutraNYNina Yulianti
Nina YuliantiKVKrishna Vadrevu
Krishna Vadrevu1 September 2016 in Polar Science
Journal Article
Hiroshi HayasakaHTHiroshi L. Tanaka
Hiroshi L. Tanaka
PBPeter A. Bieniek
Peter A. BieniekJournal Article
Until 2018, the El Niño–Southern Oscillation (ENSO) was used as an explanation for fires in Indonesia’s peatlands. However, when the 2019 fires occurred independently of El Niño, more suitable indicators and methods were required to (a) analyze, (b) evaluate and (c) forecast peatland fires. In this study, we introduced the OLR–MC index—one of the rain-related indices derived from OLR (outgoing longwave radiation) in MC (maritime continent) area in Indonesia. This index showed stronger correlation with active peatland fires than the conventional ENSO index, and is likely to be able to respond to heat and dry weather supposed to be under climate-change conditions. We then analyzed peatland fires in the top six fire years from 2002 to 2018 and showed that peatland fires occurred in three stages—surface fire, shallow peatland fire and deep peatland fire. To explain each stage, we proposed a one-dimensional groundwater level (GWL) prediction model (named as MODEL-0). MODEL-0 predicts GWL from daily rainfall. Analysis using MODEL-0 showed the GWL thresholds for the three fire stages were between -300 mm and -500 mm; peatland fire activities during the three fire stages were dependent on these GWL values. The validity of MODEL-0 was shown by comparison with the measured values of GWL in the top three fire years.
1 December 2019 in Polar Science
Journal Article
Journal Article
Hiroshi HayasakaA large-scale wildland fire occurred in Sakha in 2021. The results of fire analysis showed that the total number of hotspots in 2021 exceeded 267,000. This is about 5.8 times the average number of fires over the last 19 years since 2002. The largest daily number of hotspots in 2021 was 16,226, detected on 2 August. On 7 August, about half of the daily hotspots (52.6% = 8175/15,537 × 100) were detected in a highest fire density area (HFA, 62.5–65° N, 125–130° E) near Yakutsk under strong southeasterly wind (wind velocity about 12 m/s (43 km/h)). The results of weather analysis using various weather maps are as follows: The large meandering westerlies due to stagnant low-pressure systems in the Barents Sea brought high-pressure systems and warm air masses from the south to high latitudes, creating warm, dry conditions that are favorable conditions for fire. In addition to these, strong southeasterly winds at lower air levels blew which were related to the development of high-pressure systems in the Arctic Ocean. The HFA was located in the strong wind region (>8 m/s) of the v-wind map. The record-breaking Sakha fire season of 2021 is an example of extreme phenomena wrought by rapid climate change.
Journal Article
AUAswin Usup
Aswin UsupHiroshi HayasakaPeatland fires in Central Kalimantan emit thick smoke and large amounts of greenhouse gases and have an impact on the environment globally, but studies on fire weather have not been carried out due to lack of diurnal weather data. The aim of this study is to identify the fire weather conditions during active fires that is needed to mitigate future occurrences of peat fires in Indonesia. The available diurnal weather data was used to analyze the fire weather conditions. Based on meteorological data on active fires (11 days), there was a significant increase in air temperature due to the sea breeze that started blowing in the morning. The average values for the 11-day period around 15:00 are a maximum air temperature of 36 °C, minimum humidity of 37%, wind speed of 21 km h−1, and a rate of increase of 2.7 °C h−1 from 8:00. The difference in sea and land temperatures causes strong winds to blow and triggers an increase in land temperatures. The results of this report can help predict fire activity at high temperatures in the future based on global warming predictions made by other researchers. The rapid rate of increase in air temperature from the morning will be useful in anticipating fires in Central Indonesia.
About Me
Name: Hiroshi Hayasaka
Affiliation: Arctic Research Center, Hokkaido University
Address: N21 W11, Kita-ku, Sapporo, Hokkaido 001-0021, Japan
Brief Career:
1983- : Guest Researcher, NBS (currently National Institute of Standards and Technology, NIST), United States Department of Commerce
1984-2015: Research Associate Professor, Graduate School of Engineering, Hokkaido University 2015-2017: Visiting Professor, Center for Southeast Asian Studies, Kyoto University
2017- present: Researcher, Arctic Research Center, Hokkaido University
Selected Publications:
1. Hayasaka, H.; Tanaka, H.L.; Bieniek, P.A. Synoptic-scale fire weather conditions in Alaska. Polar Sci. 2016, 10, 217-226, http://dx.doi.org/10.1016/j.polar.2016.05.001
2. Hayasaka, H.; Yamazaki, K.; Naito, D. Weather Conditions and Warm Air Masses during Active Fire-periods in Boreal Forests. Polar Sci. 2019, 22, 100472, https://doi.org/10.1016/j.polar.2019.07.002
3. Hayasaka, H.; Sokolova, G.V.; Ostroukhov, A.; Naito, D. Classification of Active Fires and Weather Conditions in the Lower Amur River Basin. Remote Sens. 2020, 12, 3204, https://doi.org/10.3390/rs12193204
4. Hayasaka, H. Rare and Extreme Wildland Fire in Sakha in 2021. Atmosphere 2021, 12, 1572. https://doi.org/10.3390/atmos12121572
5. Hayasaka, H. Peatland Fire Weather Conditions in Sumatra, Indonesia. Climate 2023, 11, 92. https://doi.org/10.3390/cli11050092