卫星图像对大草原地区丛林火灾气候与热变量关系表征的贡献(以本卡尼地区为例)

K. Sie, Talnan Jean Honore Coulibaly, Naga Coulibaly, I. Savane, Lanciné Droh Goné, Koffi Claude Alain Kouadio, Houebagnon Saint Jean Patrick Coulibaly, Souleymane Cissé, Issa Camara, Gaoussou Sylla
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引用次数: 1

摘要

本研究旨在描述本卡尼地区森林大火的特征及其影响其传播的气候因素。因此,本文分析了火灾的时空动态以及气候变量和热变量之间的关系。首先,它利用2000年至2017年期间MODIS活火(MCD14ML)和MODIS燃烧面积(MCD60A1)数据中的活火和烧毁面积时间序列。该方法是基于季节性和火灾发生的评估,以及火灾的时空演变。结果表明,火灾季平均发生在11月至次年3月之间,大致对应旱季。此外,在17年的研究中,火灾的数量和燃烧面积呈下降趋势。12月和1月分别录得烧伤面积和火灾爆发的最高峰。最后,利用Pearson相关分析方法分析了气候变量与热变量之间的相关性,揭示了气候参数对研究区林火爆发和蔓延的影响。降水和相对湿度是最好的预测因子,对火灾活动有负向影响,而温度对火灾活动有正向影响。这些变量通常直接影响火灾状态。本研究的结果将协助决策者和管理者制定实施消防策略的决策。
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CONTRIBUTION OF SATELLITE IMAGERY TO THE CHARACTERIZATION OF THE RELATIONSHIP BETWEEN CLIMATE AND PYROLOGICAL VARIABLES OF BUSH FIRES IN THE SAVANNAH ZONE (case of the BOUNKANI REGION)
The present study was undertaken to characterize the bushfire regime and the climatic factors influencing its propagation in the Bounkani region. Thus, this work analyzes the spatio-temporal dynamics of fires and the relationship between climatic variables and pyrological variables. First, it exploits time series of active fires and burned areas from MODIS Active fires (MCD14ML) and MODIS Burned area (MCD60A1) data for the period from 2000 to 2017. The methodology is based on the evaluation of seasonality and fire occurrences, and on the spatio-temporal evolution of fires. The results obtained indicate that, on average, the fire season occurs between the months of November and March, generally corresponding to the dry season. Also, the number of fires and the area burned follow a decreasing trend during the 17 years of study. The months of December and January recorded the highest peaks of burned areas and fire outbreaks respectively. Finally, the analysis of the dependence between climatic variables and pyrological variables by the Pearson correlation method showed the influence of climatic parameters in the outbreak and spread of bushfires in the study area. Precipitation and relative humidity are the best predictors with a negative influence on fire activity, while the positive predictors remain temperature. These variables directly impact fire regime in general. The results of this study will assist policy makers and managers in decision making for the implementation of fire control strategies.
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