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基于响应曲面法的畜禽栏舍氨气和硫化氢吸收效果模拟研究

Simulation Study on Ammonia and Hydrogen Sulfide Absorption in Livestock and Poultry Yard Based on Response Surface Method
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摘要 基于响应曲面法,自主构建一种栏舍气体吸收装置来模拟封闭式规模化养殖场栏舍氨气和硫化氢气体的排放特征。以磷酸吸收液pH值、碳酸钠改性活性炭浸渍液浓度为设计因子进行正交试验设计,建立相关数学模型,得到响应曲面模型,获得最优工艺参数。结果表明:氨气和硫化氢气体的吸收率受活性炭浸渍液浓度的影响大于磷酸pH值变化的影响;氨气吸收率和硫化氢吸收率的数学模型及响应曲面具有合理性(相关系数为0.9910和0.9871);最优工艺参数为磷酸吸收液pH值5.25、碳酸钠改性活性炭浸渍液浓度6.3%,此条件下氨气吸收率达98.978%(相对误差0.005%),硫化氢吸收率达90.837%(相对误差0.006%)。 Based on response surface methodology,a self-developed cage gas absorption device was constructed to simulate emission characteristics of ammonia and hydrogen sulfide in enclosed large-scale farms.Taking pH value of phosphoric acid absorption solution and concentration of sodium carbonate modified activated carbon impregnation solution as design factors,relevant mathematical model was established,and response surface model was obtained to obtain optimal process parameters.Results showed that absorption rate of ammonia and hydrogen sulfide was affected by concentration of activated carbon impregnation solution more than by change of pH value of phosphoric acid.Mathematical model and response surface of ammonia absorption rate and hydrogen sulfide absorption rate were reasonable(correlation coefficient was 0.9910 and 0.9871 respectively).Optimum process parameters were as follows:pH value of phosphoric acid absorption solution was 5.25,concentration of impregnation solution of activated carbon modified by sodium carbonate was 6.3%.Under this condition,absorption rate of ammonia gas was 98.978%(relative error was 0.005%),hydrogen sulfide absorption rate was 90.837%(relative error was 0.006%).
作者 李想 徐荧 邢飞越 郭鹏 刘波 韩宇捷 LI Xiang;XU Ying;XING Feiyue;GUO Peng;LIU Bo;HAN Yujie(School of Geography Science,Nantong University,Nantong Jiangsu 226007,China)
出处 《农业工程》 2020年第11期45-51,共7页 AGRICULTURAL ENGINEERING
基金 “十四五”农业氨和秸秆排放控制思路研究(项目编号:2019A184) 大气重污染成因与治理攻关项目(项目编号:DQGG0208) 江苏省大学生创新训练计划项目(项目编号:201910304038Z)。
关键词 氨气 硫化氢 处理装置 响应曲面法 参数优化 ammonia hydrogen sulfide processing device response surface method parameter optimization
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