期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Method to characterize color of biochar and its prediction with biochar yield as model property
1
作者 Yuxing Fan Yingying Xiong +7 位作者 Yingying Zhang Zhangsong Jiang Haihui Tang Ligui Wu Mi Li Xiaoyu Xiao Cui Hu Xiaoming Zou 《Biochar》 SCIE 2021年第4期687-699,共13页
Biochar has trigged increasing attention in the last decade due to its multiple functionalities,in which,color is not only the visual appearance,but also a useful indicator of relevant properties as well as an importa... Biochar has trigged increasing attention in the last decade due to its multiple functionalities,in which,color is not only the visual appearance,but also a useful indicator of relevant properties as well as an important tool to predict biochar’s properties.However,biochar color characterization remains challenged currently.In this work,three different feedstock-derived biochars were produced and basic color information(from color spaces RGB,HSB and CIE L^(*)a^(*)b^(*))of their scanned images was extracted.Then principal component analysis(PCA)and nonmetric multidimensional scaling analysis(NMDS)were employed on the combinations of different color indexes to cluster biochars.With the assumption that clusters from both PCA and NMDS were as consistent as possible with that of visual intuition of biochar color,we identified feedstock-independent color indexes[(R+G-B)/(R+G+B),(R+B-G)/(R+G+B),(G+B-R)/(R+G+B),L,a,b]to characterize color of bio-char,which can in microscopic perspective elucidate color differences with respect to pyrolysis temperature and feedstock type.Finally,prediction ability of color indexes with biochar yield as model property was explored and good performance was observed for both partial least squares regression(R2=0.8653)and neural network regression(R^(2)=0.9720)with the latter being more powerful.The proposed color indexes will find more applications in prediction of biochar properties and functions in future. 展开更多
关键词 BIOCHAR COLOR PREDICTION YIELD
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部