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堆肥修剪残渣成熟度优化参数的建模

Modelling of parameters for optimization of maturity in composting trimming residues.

作者信息

Bueno P, Yañez R, Rivera A, Díaz M J

机构信息

Departamento de Ingeniería Química, Facultad de Ciencias Experimentales, Universidad de Huelva, 21071 Huelva, Spain.

出版信息

Bioresour Technol. 2009 Dec;100(23):5859-64. doi: 10.1016/j.biortech.2009.06.042. Epub 2009 Jul 14.

DOI:10.1016/j.biortech.2009.06.042
PMID:19604690
Abstract

In this paper, changes in physico-chemical parameters during trimmings residue composting (cation exchange capacity, germination index, self-heated, NH(4)/NO(3) ratio and C(FA)/C(HA) ratio) in relation to environmental composting parameters (time, aeration, moisture and particle size) of the composting process were studied. A central composite experimental design was used to obtain the polynomial model for each dependent variable. Results of the modelling showed that among the studied range, moisture was the highest influenced parameter in maturity evaluation, with respect to aeration and particle size. An exception was found for CEC evolution. In this parameter, the highest influence was found for particle size. Moreover, a product with acceptable chemical properties entails operating at medium moisture content (55%) and medium-to-high particle size (3-5 cm). Moderate to low aeration (0.2 m(3) air kg(-1) d(-1)) would be the best compromise to composting this residue, due to the scarce statistical influence of this independent variable.

摘要

本文研究了修剪残渣堆肥过程中物理化学参数(阳离子交换容量、发芽指数、自热、NH(4)/NO(3) 比率和 C(FA)/C(HA) 比率)相对于堆肥过程环境参数(时间、通气、湿度和粒径)的变化。采用中心复合试验设计来获得每个因变量的多项式模型。建模结果表明,在所研究的范围内,就通气和粒径而言,湿度是成熟度评估中受影响最大的参数。阳离子交换容量(CEC)的变化是个例外。在这个参数中,粒径的影响最大。此外,具有可接受化学性质的产品需要在中等湿度(55%)和中高粒径(3 - 5 厘米)下运行。由于这个自变量的统计影响较小,适度到低通气量(0.2 m(3) 空气·kg(-1)·d(-1))将是堆肥这种残渣的最佳折衷方案。

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