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Evaluation of deriving fire cycle of forested landscape based on time-since-fire distribution
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作者 ZHANG Quan-fa Kurt S. Pregitzer +1 位作者 JIANG Ming-xi CHEN wen-jun 《Journal of Forestry Research》 SCIE CAS CSCD 2006年第4期263-268,共6页
Estimation of fire cycle has been conducted by using the negative exponential function as an approximation of time-since-fire distribution of a landscape assumed to be homogeneous with respect to fire spread processes... Estimation of fire cycle has been conducted by using the negative exponential function as an approximation of time-since-fire distribution of a landscape assumed to be homogeneous with respect to fire spread processes. The authors imposed predefined fire cycles on a virtual landscape of 100 cell×100 cell, and obtained a mosaic composing of patches with different stand ages (i.e. time since fire). Graphical and statistical methods (Van Wagner 1978; Reed et al. 1998) were employed to derive fire cycle from the virtual landscape. By comparing the predefined and the derived fire cycles, the two methods and tested the effects of sample size and hazard of burning (i.e., stand's susceptibility to fire in relation to its stand age) were evaluated on fire cycle deviation. The simulation results indicated a minimum sample size of l0 times of the annual burnt area would be required for.partitioning time-since-fire distribution into homogeneous epochs indicating temporal change in fire cycle. Statistically, there was significant difference among the imposed and the derived fire cycle, regardless of sample sizes with or without consideration of hazard of burning. Both methods underestimated the more recent fire cycle without significant difference between them. The results imply that deviation of fire cycle based on time-since-fire distribution warrants cautious interpretation, especially when a landscape is spatially partitioned into small units and temporal changes in fire cycle are involved. 展开更多
关键词 Fire cycle Simulation Time-since-fire distribution EVALUATION
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蒙古高原草原火行为的时空格局与影响因子 被引量:24
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作者 曲炤鹏 郑淑霞 白永飞 《应用生态学报》 CAS CSCD 北大核心 2010年第4期807-813,共7页
采用GIS空间分析方法和L3JRC遥感卫星数据,研究了2000—2007年间蒙古高原草原火行为的时空分布规律,比较了中国内蒙古自治区和蒙古人民共和国草原火行为的差异,分析了植被、气候与人文因素等对草原火行为的影响.结果表明:不同植被类型... 采用GIS空间分析方法和L3JRC遥感卫星数据,研究了2000—2007年间蒙古高原草原火行为的时空分布规律,比较了中国内蒙古自治区和蒙古人民共和国草原火行为的差异,分析了植被、气候与人文因素等对草原火行为的影响.结果表明:不同植被类型间的过火率存在极显著差异(P<0.001),为草甸草原>典型草原>荒漠草原,蒙古人民共和国草原过火率显著高于中国内蒙古自治区(P<0.001),过火频次的分布格局与过火迹地相一致.草原火行为存在明显的年际变化特征,草甸草原(r2=-0.54,P<0.05)和典型草原(r2=-0.61,P<0.05)的年过火率与年降雨量呈负相关关系;草原火集中在降水较少、风速较大的春、秋两季.中国内蒙古自治区的人口密度和载畜密度远高于蒙古人民共和国,而过火率则相反,表明人文因素,尤其是过度放牧是导致中国内蒙古自治区和蒙古人民共和国火行为差异的主要原因. 展开更多
关键词 蒙古高原 草原 火行为 过火迹地 过火率 过火频次
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Numerical study of methane/air jet flame in vitiated co-flow using tabulated detailed chemistry 被引量:7
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作者 HAN Chao ZHANG Pei +1 位作者 YE TaoHong CHEN YiLiang 《Science China(Technological Sciences)》 SCIE EI CAS 2014年第9期1750-1760,共11页
Two different combustion models,the autoignition(AI)model and flamelet/progress variable(FPV)model,have been applied to study the auto-ignition process of methane/air jet flame in vitiated co-flow.A priori study was c... Two different combustion models,the autoignition(AI)model and flamelet/progress variable(FPV)model,have been applied to study the auto-ignition process of methane/air jet flame in vitiated co-flow.A priori study was conducted to test the validity of the two models.Results show that the different range of predicted reaction rates is mainly responsible for their different performances in large eddy simulation(LES)studies.In this paper,beta PDF was used to model the mixture fraction distribution,while two different shapes of PDF,delta function and beta function,were applied for the reaction progress.Compared to the FPV model,the AI model combined with beta function for reaction progress could capture the auto-ignition process and predict the exact lifted height.Also the results indicate that the variance of reaction progress plays an important role in predicting the flame lifted height. 展开更多
关键词 large eddy simulation flamelet/progress variables AUTOIGNITION vitiated co-flow flame
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