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
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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 |
DOI | 10.1007/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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