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淹水处理下生物质炭元素组成含量的变化特征 被引量:1

Change Characteristics of the Content of the Element Composition of Biomass Charcoal under Flooding
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摘要 [目的]探讨淹水处理下生物质炭元素组成含量随培养时间的变化特征。[方法]将芦苇秸秆经350和600℃炭化,作洗涤与未洗涤处理后,在淹水条件下进行培养。以120 d为1个培养周期,共培养3个周期,运用元素分析仪测定N、C、H元素含量以及C/H的比值。[结果]生物炭的C元素百分含量与热解温度呈正相关,H元素百分含量与温度呈负相关。淹水条件会明显降低生物炭C元素百分含量和C/H值,培养时间也会对各元素组成含量产生影响,N、C、H元素百分含量随着培养时间呈先上升后下降的趋势。不同温度之间对比发现,600℃下制备的生物炭的C含量较高,H元素含量较低,C/H值较高,芳香性更强。[结论]该研究结果为生物炭的进一步研究与应用提供了理论依据。 [Objective] The aim was to study change characteristics of the content of the element composition of biomass charcoal under flooding with the change of culture time. [Method]The reed straw was carbonized at 350 ℃ and 600 ℃. After washing and unscrubbing,the reed was cultivated under flooding. Taking 120 days as a culture cycle,a total of 3 cycles were cultivated,and the element analyzer was used to determine the content of N,C,H and the ratio of C/H. [Result]The percentage content of C elements in biological carbon was positively correlated with the temperature of pyrolysis,and the content of H elements was negatively correlated with the temperature. Under flooding conditions,the percentage of C and the C/H ratio of biochar would be significantly reduced. The time of cultivation would also affect the content of each element. The percentage of N,C and H elements would rise and then decrease with the culture time. Compared with the different temperatures,it was found that the C content of biological carbon prepared at 600 ℃ was higher,the content of H element was lower,the C/H value was higher,and the aroma was stronger. [Conclusion] The result provides theoretical basis for further research and application of biomass charcoal.
作者 杜永固 张平究 张群 DU Yong-gu;ZHANG Ping-jiu;ZHANG Qun(Anhui Key Laboratory of Natural Disasters Process and Prevention / College of TerritorialResource and Tourism,Anhui Normal University,Wuhu,Anhui 241003)
出处 《安徽农业科学》 CAS 2018年第17期16-18,共3页 Journal of Anhui Agricultural Sciences
基金 国家自然科学基金项目(41301249)
关键词 生物炭 淹水条件 不同时间序列 元素组成 Biochar Submergence condition Different time series Element composition
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