典型文献
Characterizing and predicting smoldering temperature variations based on non-linear mixed effects models
文献摘要：
Underground fires are slow spreading,long-last-ing and low temperature smoldering combustion without flames,mainly occurring in peatlands and wetlands with rich organic matter.The spread of the smoldering is main-tained by heat released during combustion and monitoring this is an important approach to detect underground fires.The Daxing'an Mountains region is a hotspot for under-ground fires in northeast China.This study examined a Larix gmelinii plantation in the Tatou wetlands of the Daxing'an Mountains and determined the maximum temperature vari-ation of humus of varying particle sizes,and the temperature rising process based on non-linear mixed effects models by an indoor combustion experiment.Maximum combustion temperatures up to 897.5℃,increased with humus depth;among the three models tested,Richard's equations were best for characterizing temperature variations;a non-linear equation with three parameters had the highest accuracy in fitting the combustion temperature variations with vary-ing humus particle sizes.These results are informative for predicting temperature variations and provide technical sup-port for underground fire monitoring.
文献关键词：
中图分类号：
作者姓名：
Sainan Yin;Yanlong Shan;Bo Gao;Shuyuan Tang;Xiyue Han;Guojiang Zhang;Bo Yu;Shan Guan
作者机构：
Science and Technology Innovation Center of Wildland Fire Prevention and Control,Beihua University,3999 Binjiang East Road,Jilin City 132013,Jilin,People's Republic of China;Forestry College,Beihua University,3999 Binjiang East Road,Jilin City 132013,Jilin,People's Republic of China
文献出处：
引用格式：
[1]Sainan Yin;Yanlong Shan;Bo Gao;Shuyuan Tang;Xiyue Han;Guojiang Zhang;Bo Yu;Shan Guan-.Characterizing and predicting smoldering temperature variations based on non-linear mixed effects models)[J].林业研究（英文版）,2022(06):1829-1839
A类：
peatlands,Tatou
B类：
Characterizing,predicting,smoldering,variations,linear,mixed,effects,models,Underground,fires,are,slow,spreading,long,last,combustion,without,flames,mainly,occurring,wetlands,rich,organic,matter,tained,by,heat,released,during,monitoring,this,important,approach,detect,underground,Daxing,Mountains,region,hotspot,northeast,China,This,study,examined,Larix,gmelinii,plantation,determined,maximum,humus,varying,particle,sizes,rising,process,indoor,experiment,Maximum,temperatures,increased,depth,among,three,tested,Richard,equations,were,best,characterizing,parameters,had,highest,accuracy,fitting,These,results,informative,provide,technical,sup
AB值：
0.500581
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
