摘要
采用Box-Behnken设计,以碳氮比(C/N)、通风量、初始含水率为3因素,设计了17组堆肥实验,建立回归模型,以抗生素降解率和氮、磷、钾总含量为响应值,确定沼渣快速堆肥的最优工艺。结果表明:3因素对响应值F 1抗生素降低率的影响显著性排序为:通风量>C/N>初始含水率,对响应值F 2(总养分含量)的影响显著性顺序为:通风量>初始含水率>C/N。综合考虑,为同时确保抗生素降解率较高且氮磷钾总含量较高,最优工艺条件为C/N为30,通风量为1.13 L/(min·kg),初始含水率为65.54%。验证实验结果与预测值吻合,响应曲面法用于沼渣快速堆肥工艺优化具有可行性。
In order to get the optimal proportion of biogas residue mixed with livestock manure composting,choosing the degradation rate of antibiotic and total content of nitrogen,phosphorus and potassium as the response value,and carbon-nitrogen ratio,ventilation and initial moisture content as the three factors,seventeen composting experiments were designed using Box-Behnken,and a second order polynomial equation was established.The results showed that the significance order of the three factors on the response value F 1 was ventilation volume>carbon to nitrogen ratio>initial water content,the significance ceorder of influence on the response value F 2 was ventilation>initial water content>carbon to nitrogen ratio.Considering comprehensively,in order to ensure the degradation rate of antibiotic and total content of N,P,K,the process was optimized as a carbon to nitrogen ratio of 30,a ventilation of 1.13 L/(min·kg),and an initial water content of 65.54%.The experimental results were in agreement with the predicted values.Therefore,response surface method was proved to be feasible in optimization of biogas residue composting.
作者
华冠林
丁京涛
孟海波
沈玉君
董珊珊
李睿
HUA Guan-lin;DING Jing-tao;MENG Hai-bo;SHEN Yu-jun;DONG Shan-shan;LI Rui(School of Biological and Pharmaceutical Engineering,Wuhan Polytechnic University,Wuhan 430040,China;Insitute of Energy and Environmental Protection,Chinese Academy of Agricultural Engineering,Ministry of Agriculture and Rural Affairs,Beijing 100125,China;Key Laboratory of Technologies and Models for Cyclic Utilization from Agricultural Resources,Chinese Academy of Agricultural Engineering,Ministry of Agriculture and Rural Affairs,Beijing 100125,China)
出处
《环境工程》
CAS
CSCD
北大核心
2019年第12期194-199,148,共7页
Environmental Engineering
基金
北京科技计划课题(Z171100001417007)
关键词
沼渣
堆肥
Box-Behnken
抗生素降解率
氮磷钾
biogas residue
composting
Box-Behnken
degradation rate of antibiotic
nitrogen
phosphorus and potassium