西南山地区域森林火险综合预报模型研究——以重庆市为例

森林火灾严重破坏森林生态系统的结构和功能,针对其风险预报开展研究具有重要的理论意义和应用价值。通过融合气象、地表覆盖和人类活动等要素的方式构建森林火险综合预报模型,是西南山地区域森林火险综合预报业务化应用的重要发展方向。基于《森林火险气象等级》国家标准(GB/T 36743-2018),本文研究首先构建了重庆市森林火险气象风险预报模型。然后通过融合可燃物因素和人为因素的方式,进一步构建重庆市森林火险综合预报模型。最后利用历史火点数据针对上述两类模型的精度进行对比和分析。研究结果表明:重庆市森林火灾发生次数较多,且呈现出季节性规律;重庆市森林火灾的发生不仅受到气象条件的影响,而且受到地表覆盖和人类活动等多种要素条件的共同影响;与森林火险气象风险预报结果相比,森林火险综合预报结果在空间分布上具有更高的精细程度;森林火险综合预报模型能有效提高森林火险等级预报精度。     

基于云模型的高校消防安全标准化评估研究

为评估高校消防安全标准化程度,明确高校消防安全标准化体系,结合高校消防安全标准化体系的模糊性,将高校消防安全标准化等级划分为5个级别,采用黄金分割法将权重云、评价云划分成5个云模型,建立能够反映高校消防安全标准化等级模糊性的云模型。该模型运用于某高校消防安全标准化等级评估中,评估结果客观合理,实用性较强,为后续标准化提升提供了参考依据。     

基于BP神经网络的受限空间火灾联合探测方法

针对航空受限空间火灾探测高误报的问题，在现有技术成果基础上对多种火灾探测方式进行研讨，并提出1种基于BP神经网络技术的飞机机身内部受限空间火灾联合探测报警方法。该方法结合现有烟雾感应、气体传感器探测等常用火灾探测技术，以红外热成像探测为辅助手段，采用神经网络实现数据融合，对模拟实验舱火灾烟雾进行联合探测，在单一火灾探测方式基础上提高了探测准确率。     

单芯铜线过电流故障电弧熔痕的微观特征研究*

为准确认定电气火灾中过电流故障，模拟4~7倍额定电流（Ie）条件下单芯铜导线过电流故障，利用光学显微镜和扫描电子显微镜（SEM）分析过电流故障电弧熔痕的组织特征，并结合Image-Pro Plus软件测定晶粒直径、周长和面积，探究金相组织的量化判据和变化规律。结果表明:当I＝4Ie时，过电流故障电弧熔痕的金相组织主要为方向性较强的树枝晶；当I＝5Ie，6Ie时，金相组织内树枝晶占比减小，胞状晶占比升高；当I＝7Ie时，方向性较弱的胞状晶占主导。随着电流增加，晶粒的平均直径、周长和面积均呈增长趋势。通过火灾案例分析可知，实验结果与现场的电弧熔痕组织特征基本相符，验证火灾事故原因为过电流故障。     

层次分析法在高层学生公寓火灾危险性评价中的应用

分析高层学生公寓的消防安全特点及其火灾发生危害性,评述现有的高层建筑火灾风险评价方法;在现有的评价方法的基础上,从人员因素、建筑物属性、安全疏散设施、报警与灭火系统、防火与防烟系统、建筑物内电气因素和消防安全管理7个方面综合考虑,建立了高层学生公寓的建筑火灾危险评价指标体系;利用层次分析法对高层学生公寓火灾危险性进行分析,确定其评价指标体系中各层次各指标的权重;分析结果表明:消防安全教育与培训是学生公寓火灾危险评价指标体系中最重要的因素。加强和改进高层学生公寓消防安全管理,对预防或减少高层学生公寓火灾具有现实指导价值。     

饮食业油烟道火灾的模糊事件树分析

对饮食业油烟道火灾事故进行事件树分析时,历史数据的缺乏常常导致无法进行事件序列的定量计算.针对这一问题,利用专家对事故的模糊评判,引入模糊事件树进行定量计算研究.在模糊集理论的基础上,结合德尔菲法和判断矩阵法, 将模糊性语言转换为三角模糊数或梯形模糊数,应用模糊数截集以及模糊数清晰化方法,对后果事件发生概率进行计算.研究表明,饮食业油烟道火灾事故概率的模糊事件树分析是切实可行的,有助对饮食业油烟道火灾的认识、预防和扑救工作.     

Understanding Interaction Effects of Climate Change and Fire Management on Bird Distributions through Combined Process and Habitat Models

Abstract: Avian conservation efforts must account for changes in vegetation composition and structure associated with climate change. We modeled vegetation change and the probability of occurrence of birds to project changes in winter bird distributions associated with climate change and fire management in the northern Chihuahuan Desert (southwestern U.S.A.). We simulated vegetation change in a process‐based model (Landscape and Fire Simulator) in which anticipated climate change was associated with doubling of current atmospheric carbon dioxide over the next 50 years. We estimated the relative probability of bird occurrence on the basis of statistical models derived from field observations of birds and data on vegetation type, topography, and roads. We selected 3 focal species, Scaled Quail (Callipepla squamata), Loggerhead Shrike (Lanius ludovicianus), and Rock Wren (Salpinctes obsoletus), that had a range of probabilities of occurrence for our study area. Our simulations projected increases in relative probability of bird occurrence in shrubland and decreases in grassland and Yucca spp. and ocotillo (Fouquieria splendens) vegetation. Generally, the relative probability of occurrence of all 3 species was highest in shrubland because leaf‐area index values were lower in shrubland. This high probability of occurrence likely is related to the species’ use of open vegetation for foraging. Fire suppression had little effect on projected vegetation composition because as climate changed there was less fuel and burned area. Our results show that if future water limits on plant type are considered, models that incorporate spatial data may suggest how and where different species of birds may respond to vegetation changes.     

Ecosystem restoration in fire-managed savanna woodlands: Effects on biodiversity,local livelihoods and fire intensity

Ethiopia aims to restore 15 million ha degraded forests and woodlands, but effects on the potentially contrasting goals of long-term carbon storage, biodiversity and sustainable livelihoods are unknown. To quantify the effects of grazing exclusion on vegetation and fire behaviour, we established six 30 × 30 m fenced exclosures with grazed controls, in a mesic wooded savanna. Experimental burns were done after 1.5 years. Tree seedlings were few but more common inside fences. Field layer cover and biomass increased inside fences, and grass species increased in numbers and cover. Fire intensity was higher inside fences, killing shrubs and saplings but not mature trees. Interviews confirmed that overgrazing has resulted in “cool fires”, causing shrub encroachment. High-intensity fires occurred in the 1980s after a zoonotic disease killed most livestock. Short-term increase in carbon storage through fire and grazing exclusion may lead to loss of pasture, and in the long-term increased wildfire risk.Electronic supplementary materialThe online version of this article (10.1007/s13280-020-01343-7) contains supplementary material, which is available to authorized users.     

北京市大气重污染过程中AQI的时空扩散特征及其预测模型

通过对北京市大气重度污染时段AQI与气象因子分析,探讨AQI的时间和空间变化特征,并建立了AQI的空间预测模型。结果表明:1)风速>2.5 m/s,且持续时间长(超过5 h)时,AQI曲线特征呈现倒"V"型。若其在1.7 m/s中部>北部,4 d后则中部>南部>北部。3)各方向上中部和北部的AQI预测模型中幂函数模型精度最高,且两者受西南方向的影响最大。     

区域森林火灾危害程度评价指标构建

为弥补用发生次数和受害森林面积评价森林火灾危害程度的不足,在拟定了林火次数比率、森林燃烧率、森林受害面积比率、每起森林火灾平均受害面积、森林火灾发生次数变异系数、受害森林面积变异系数6个指标的基础上,利用权重法确定了综合指标。结果表明,单一指标可以从某个方面评价森林火灾危害程度,综合指标则能更好地评价某个区域森林火灾的危害程度,更便于区域间的比较和评价。