首页|2001年-2021年四川省森林草原火灾时空特征遥感分析

2001年-2021年四川省森林草原火灾时空特征遥感分析

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近年来,四川省冬春季森林草原火灾频发,对当地生态、百姓和消防人员的生命财产安全造成巨大威胁。本研究旨在基于多源遥感观测数据探究2001年-2021年四川省森林草原火灾的时空特征,服务于该区域未来火灾预警防控等需求。该研究基于MCD64A1、Fire_CCI51和MCD14ML等多源遥感数据提取研究区域有效火点数据,运用地理信息系统探究森林草原火灾时序趋势及空间分布,并采用数理统计、自适应模糊神经网络两种方式探究气象、可燃物和地形等影响因子与火灾的相关性。结果显示,该区域2001年-2014年火灾频率及过火面积呈上升趋势,1-5月为火灾高发期;火灾空间分布具有异质性,主要集中于四川省西南部,而近期东北部的草原火灾明显增加;森林火灾发生与可燃物含水率的相关性较高,草原火灾发生与相对湿度的相关性较高,同时推测人为因素对草原火灾的诱发存在较大影响。该项研究基于多源遥感观测数据对2001年-2021年四川省森林草原火灾时空特征进行了定性与定量的分析,为该区域森林草原火灾防控预警等需求提供有效先验信息。
Remote sensing-based spatial-temporal characteristics of forest grassland fires in Sichuan Province from 2001 to 2021
In recent years,the problem of forest wildfires in Sichuan Province has emerged as a matter of great concern.These wildfires have occurred with alarming frequency,presenting a formidable threat not only to the local ecological security but also to the lives and property of the people and the courageous rescue workers who put themselves in harm's way.This in-depth study is committed to conducting a comprehensive exploration of the temporal and spatial characteristics of forest and grassland fires in Sichuan Province over the extensive period from 2001 to 2021.The ultimate aim is to provide highly valuable and actionable information that can serve as a solid foundation for making well-informed decisions regarding fire prevention and control strategies.By understanding these characteristics,it is hoped that effective measures can be implemented to minimize the occurrence and impact of wildfires,thereby safeguarding the delicate balance of the ecosystem and protecting the well-being of the local population.This extensive research is firmly grounded in a diverse array of multi-source remote sensing fire products,such as MCD64A1,Fire_CCI51,and MCD14ML.Through meticulous extraction of effective fire points,a wealth of regional fire data is painstakingly obtained.Leveraging the power of a sophisticated geographic information system,the temporal trend and spatial distribution of forest and grassland fires are thoroughly examined.This involves analyzing patterns over time and identifying areas of concentration or dispersion.Additionally,mathematical statistics and an adaptable fuzzy neural network are skillfully employed to meticulously analyze the complex relationship between climatic,combustible,and topographical environmental factors and the occurrence of fires.By using these advanced techniques,researchers can gain a deeper understanding of the underlying causes and contributing factors of wildfires,enabling more targeted prevention and response efforts.Research findings reveal that from 2001 to 2014,both the frequency of fires and the area affected by them demonstrated an upward trend.This indicates a growing concern for fire management and prevention.Fires occurred with notable frequency from January to May,suggesting a seasonal pattern that can be used to inform preventive measures during these high-risk months.In terms of the spatial distribution of grassland fires,it exhibits a distinct heterogeneity,with a concentration mainly in the southwest region of Sichuan Province.This spatial pattern may be influenced by a combination of factors such as vegetation type,climate,and human activities.Intriguingly,in the northeast of China,grassland fires have witnessed a remarkable increase in recent times.This finding highlights the need for a broader understanding of fire dynamics on a national scale.In the correlation analysis of various influencing factors,a high degree of correlation is observed between forest fires and fuel water content.This suggests that changes in fuel moisture levels can have a significant impact on the likelihood and severity of forest fires.Environmental variables are clearly identified as the primary driving factors behind the temporal and spatial characteristics of forest fires.For grassland fires,although there is a strong correlation with meteorological factors,it is reasonably speculated that human factors also exert a substantial influence on the characteristics of grassland fires.This could include activities such as land use changes,agricultural practices,and accidental ignitions.Based on the detailed analysis of the temporal and spatial characteristics of fires in Sichuan Province,this study provides a solid and reliable decision-making basis for formulating forest and grassland fire prevention and control policies,establishing early warning systems,and enhancing monitoring efforts in this region.By understanding the patterns and drivers of wildfires,policymakers and fire management agencies can develop more effective strategies to protect the precious ecological environment and safeguard the lives and property of the people.This will undoubtedly contribute to a more sustainable future for the region,ensuring that the beauty and biodiversity of Sichuan's forests and grasslands are preserved for generations to come.

remote sensingSichuan ProvinceMCD64A1Fire_CCI51MCD14MLforest grassland firespatial distributiontime trendspatio-temporal characteristics

焦淼、全兴文、何彬彬、姚劲松

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电子科技大学资源与环境学院,成都 611731

四川省林业和草原局 四川省森林和草原防火监测中心,成都 610081

遥感 四川省 MCD64A1 Fire_CCI51 MCD14ML 森林草原火灾 空间分布 时间趋势 时空特征

2024

遥感学报
中国地理学会环境遥感分会 中国科学院遥感应用研究所

遥感学报

CSTPCD北大核心
影响因子:2.921
ISSN:1007-4619
年,卷(期):2024.28(11)