北海道大学 · 環境科学
Hayasaka教授の研究室は、火災燃焼現象の基礎的メカニズム解明と、その応用としての火災予測・火災リスク評価に焦点を当てています。特に、小規模プール火災における燃料温度の変化が燃焼速度に与える影響や、北極圏・ペタランド・バーリング森林における大規模火災の気象的要因の解明を進めています。近年では、衛星データと気象解析を融合した火災動態の定量化手法や、放射熱移動の高精度・高速計算を目的とした新規数値手法の開発も並行して実施しています。
Figures are computed from collected data and may differ slightly.
This paper experimentally and theoretically shows why experiment on small pool fires yield different burning rates. Small pool fire tests were carried out to examine the effect of fuel temperature and tank temperature on the burning rate during unsteady combustion. In these experiments, the fuel level in the tank was not controlled. It was found that : 1.) there are three processes associated with the fuel temperature change ; 2.) the three processes are called preheating, transition and boiling
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 correlatio
A 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 southeas
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
Most wildland fires in boreal forests occur during summer, but major fires in the lower Amur River Basin of the southern Khabarovsk Krai (SKK) mainly occur in spring. To reduce active fires in the SKK, we carried out daily analysis of MODIS (Moderate Resolution Imaging Spectroradiometer) hotspot (HS) data and various weather charts. HS data of 17 years from 2003 were used to identify the average seasonal fire occurrence. Active fire-periods were extracted by considering the number of daily HSs a
This study was conducted to identify the fire weather conditions needed to assess future peatland fires under climate change. Recent peatland fires in Indonesia have resulted in globally significant environmental impacts. Nevertheless, fire weather in the peatlands has not been clarified. The objective of this study is to determine the fire weather needed to assess future peatland fires under climate change. We analyzed fire, rainfall, temperature, humidity, and wind in the fire-prone areas in S
The authors developed a new calculation method for the analysis of radiative heat transfer. This new method uses READ (radiative energy absorption rate distribution). READ is very useful, especially when applied to the Monte Calro method, to solve the radiative heat transfer problem in furnaces, because the calculation using READ results in a significant reduction i computation time and improvement in accuracy. To calculate READ more accurately, a new method, which is called the "Radiative Heat
MODIS hotspot data from NASA have now become a standard means of evaluating vegetation fires worldwide. Remote sensing is the most effective tool for large countries like Russia because it is hard to obtain exact, detailed forest fire data. Accumulated MODIS hotspot data of the nine years from 2002 to 2010 may allow us to assess recent changes in the vegetation fire incidence in Russia. This kind of analysis using various satellites is useful in estimating fire intensity and severity, burnt area
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