. Beijing Municipal Climate Center, Beijing Meteorological Service, Beijing 100089, China . Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China . University of Chinese Academy of Sciences, Beijing 100049, China
It is crucial to investigate the characteristics of fire danger in the areas around Beijing to increase the accuracy of fire danger monitoring, forecasting, and management. Using meteorological data from 17 national meteorological stations in the areas around Beijing from 1981−2021, this study calculated the fire weather index (FWI) and analyzed its spatiotemporal characteristics. It was found that the high and low fire danger periods were in April−May and July−August, with spatial patterns of “decrease in the northwest−increase in the southeast” and a significant increase throughout the areas around Beijing, respectively. Next, the contributions of different meteorological factors were quantified by the multiple regression method. We found that during the high fire danger period, the northern and southern parts were affected by precipitation and minimum relative humidity, respectively. However, most areas were influenced by wind speed during the low fire danger period. Finally, comparing with the FWI characteristics under different SSP scenarios, we found that the FWI decreased during high fire danger period and increased during low fire danger period under different SSP scenarios (i.e., SSP245, SSP585) for periods of 2021−2050, 2071−2100, 2021−2100, except for SSP245 in 2071−2100 with an increasing trend both in high and low fire danger periods. This study implies that there is a higher probability of FWI in the low fire danger period, threatening the ecological environment and human health. Therefore, it is necessary to enhance research on fire danger during the low fire danger period to improve the ability to predict summer fire danger.
. [J]. Frontiers of Earth Science, 2024, 18(3): 637-648.
Mengxin BAI, Wupeng DU, Zhixin HAO, Liang ZHANG, Pei XING. The characteristics and future projections of fire danger in the areas around mega-city based on meteorological data–a case study of Beijing. Front. Earth Sci., 2024, 18(3): 637-648.
Atmospheric resolution(lon × lat, vertical levels)
1
ACCESS-ESM1-5
Commonwealth Scientific and Industrial Research Organization, Australia
~1.88° × 1.25°, L38
2
CanESM5
Canadian Centre for Climate Modeling and Analysis, Canada
~2.81° × ~2.77°, L49
3
CMCC-ESM2
Euro-Mediterranean Centre for Climate Change Foundation, Italy
1.25° × ~0.94°, L30
4
EC-Earth3
EC-Earth Consortium, Europe
~0.71° × ~0.70°, L91
5
FGOALS-g3
Chinese Academy of Sciences, China
2° × ~5.18°, L26
6
GFDL-CM4
National Oceanic and Atmospheric Administration, Geophysical FluidDynamics Laboratory, USA
1.25° × 1°, L33
7
INM-CM5-0
Institute for Numerical Mathematics, Russia
2° × 1.5°, L73
8
MIROC6
Atmosphere and Ocean Research Institute, The University of Tokyo, Japan
~1.41° × ~1.39°, L81
9
MPI-ESM1-2-LR
Max Planck Institute for Meteorology, Alfred Wegener Institute, Germany
~1.88° × ~1.85°, L47
10
MRI-ESM2-0
Meteorological Research Institute, Japan
~1.13° × ~1.11, L80
Tab.1
Fig.2
Fig.3
Fig.4
Fig.5
Fig.6
Fig.7
Fig.8
Scenario
Period
High fire danger period
Low fire danger period
SSP245
2021?2050
?0.0316
0.1084
2071?2100
0.2113
0.1348
SSP585
2021?2050
?0.2709
0.1324
2071?2100
?0.3157
0.3916
Tab.2
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