首页|The characteristics and future projections of fire danger in the areas around mega-city based on meteorological data-a case study of Beijing

The characteristics and future projections of fire danger in the areas around mega-city based on meteorological data-a case study of Beijing

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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.

meteorological data-based fire dangerareas around Beijingclimate characteristicsSSP scenarios

Mengxin BAI、Wupeng DU、Zhixin HAO、Liang ZHANG、Pei XING

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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

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaScience and Technology Project of Beijing Meteorological ServiceKey Project of Beijing Academy of Emergency Management Science and TechnologyOpen Foundation of Key Laboratory of Land Surface Pattern and Simulation,Chinese Academy of Sciences

423050554217103041901017BMBKJ202302001Y2023046

2024

10.1007/s11707-024-1107-0

地球科学前沿
高等教育出版社

地球科学前沿

CSTPCD
影响因子：0.585
ISSN：2095-0195
年,卷(期)：2024.18(3)
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