中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The characteristics and future projections of fire danger in the areas around mega-city based on meteorological data-a case study of Beijing

文献类型:期刊论文

作者Bai, Mengxin3; Du, Wupeng3; Hao, Zhixin1,2; Zhang, Liang1,2; Xing, Pei3
刊名FRONTIERS OF EARTH SCIENCE
出版日期2024-07-11
卷号N/A页码:12
关键词meteorological data-based fire danger areas around Beijing climate characteristics SSP scenarios
ISSN号2095-0195
DOI10.1007/s11707-024-1107-0
英文摘要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.
WOS关键词WEATHER INDEX SYSTEM ; FOREST-FIRES ; CLIMATE ; REGION ; PRECIPITATION ; WILDFIRES ; IMPACTS
资助项目National Natural Science Foundation of China[42305055] ; National Natural Science Foundation of China[42171030] ; National Natural Science Foundation of China[41901017] ; Science and Technology Project of Beijing Meteorological Service[BMBKJ202302001] ; Key Project of Beijing Academy of Emergency Management Science and Technology[Y2023046] ; Open Foundation of Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy of Sciences
WOS研究方向Geology
语种英语
WOS记录号WOS:001268019100001
出版者SPRINGER
资助机构National Natural Science Foundation of China ; Science and Technology Project of Beijing Meteorological Service ; Key Project of Beijing Academy of Emergency Management Science and Technology ; Open Foundation of Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/207642]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Du, Wupeng
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
3.Beijing Meteorol Serv, Beijing Municipal Climate Ctr, Beijing 100089, Peoples R China
推荐引用方式
GB/T 7714
Bai, Mengxin,Du, Wupeng,Hao, Zhixin,et al. The characteristics and future projections of fire danger in the areas around mega-city based on meteorological data-a case study of Beijing[J]. FRONTIERS OF EARTH SCIENCE,2024,N/A:12.
APA Bai, Mengxin,Du, Wupeng,Hao, Zhixin,Zhang, Liang,&Xing, Pei.(2024).The characteristics and future projections of fire danger in the areas around mega-city based on meteorological data-a case study of Beijing.FRONTIERS OF EARTH SCIENCE,N/A,12.
MLA Bai, Mengxin,et al."The characteristics and future projections of fire danger in the areas around mega-city based on meteorological data-a case study of Beijing".FRONTIERS OF EARTH SCIENCE N/A(2024):12.

入库方式: OAI收割

来源:地理科学与资源研究所

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