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选取钝化材料木醋液和影响堆肥质量的关键因素:含水量和C/N,每个因素安排6个水平,利用均匀设计进行多因素多水平试验,对试验结果进行偏最小二乘回归分析,建立对重金属的钝化预测模型.结果表明:木醋液添加比例为0.50%、含水量为40%和C/N为40时,Cu和Zn的钝化效果均达到最大值,分别为13.5%和30.2%;其中重金属Cu的钝化预测模型为CuA B Cy=15.4748+0.3524x-0.1100x+0.0131x,其中交叉有效性为22Q=-2.0767<0.0985,模型达到精度要求;重金属Zn的钝化预测模型为ZnA By=34.3512+11.0905x-0.2561x-C0.0531x,其中交叉有效性为22Q=-3.0863<0.0985,模型达到精度要求.针对多因素多水平的复杂堆肥系统中,将均匀设计与偏最小二乘法有机耦合,有效地解决了试验次数多、因素间多重相关性的问题,从而使模型精度和实用性都得到提高.
Passivation material wood vinegar and the key factors influencing compost quality were determined: water content and C / N, 6 levels were set for each factor, and multi-factor and multi-level test was carried out by uniform design. Partial least-squares regression analysis , The passivation prediction model of heavy metals was established.The results showed that the passivation effect of Cu and Zn reached the maximum value when the proportion of wood vinegar was 0.50%, the water content was 40% and the C / N ratio was 40, which were 13.5 % And 30.2% respectively. The passivation prediction model of heavy metal Cu is CuA B Cy = 15.4748 + 0.3524x-0.1100x + 0.0131x, of which cross-validation is 22Q = -2.0767 <0.0985, The prediction model is ZnA By = 34.3512 + 11.0905x-0.2561x-C0.0531x, where the cross-validation is 22Q = -3.0863 <0.0985, and the model meets the precision requirements.For the multi-factor and multi-level complex composting system, And partial least squares method of organic coupling, effectively solve the test number of multiple, multiple correlation between factors, so that the model accuracy and practicality have been improved.