木材气干密度与基本密度关系模型比较OA北大核心CSTPCD

Wood density includes basic density,air-dry density,etc.The air-dry density(D12)measured at the moisture content of 12%is more commonly used,so it is necessary to convert wood air-dry density to basic density(Db).Currently,the models that use air-dry density to calculate basic density,include Reyes,Chave,Simpson,and Vieilledent models.However,these models do not offer completely consistent predictions.This study used data of wood basic density and air-dry density from Research Institute of Wood Industry,Chinese Academy of Forestry(CRIWI)and French Agricultural Research Centre for International Development(CIRAD)to evaluate the prediction precision difference among the models mentioned above.Firstly,a correlation model-between D12 and Db was established based on CRIWI wood density database.Then,the air-dry density at 12%moisture content of individual wood species from the CRIWI and the CIRAD wood density database was applied to the Reyes model,Chave model,Simpson model,Vieilledent model,and the newly fitted model respectively to predict basic densities of each wood species.Then the mean absolute value of the error(MAE)was calculated from the predicted and the measured value of the wood basic density.By comparing the MAE of different models,the results indicate that only the Reyes model can appropriately predict basic density corresponding to either the CRIWI or CIRAD wood density databases.For both the Simpson model and the newly fitted model,the accuracy in predicting basic density significantly decreases when the air-dry density at 12%moisture content exceeds 1.0 g/cm3.