Department of Inorganic Chemistry and Chemical Engineering, University of Cordoba, Campus Universitario de Rabanales, Building Marie Curie (C-3), Ctra. N-IV, km 396, 14071 Cordoba, Spain.
Department of Statistics, Econometry, Op. Res., Business Org. and Applied Econ., University of Córdoba, Campus Universitario de Rabanales, Building Albert Einstein (C-2), Ctra. N-IV, km 396, 14071 Cordoba, Spain.
Waste Manag. 2017 Jan;59:48-58. doi: 10.1016/j.wasman.2016.09.045. Epub 2016 Oct 6.
The composting process of six different compostable substrates and one of these with the addition of bacterial inoculums carried out in a dynamic respirometer was evaluated. Despite the heterogeneity of the compostable substrates, cumulative oxygen demand (OD, mgOkgVS) was fitted adequately to an exponential regression growing until reaching a maximum in all cases. According to the kinetic constant of the reaction (K) values obtained, the wastes that degraded more slowly were those containing lignocellulosic material (green wastes) or less biodegradable wastes (sewage sludge). The odor emissions generated during the composting processes were also fitted in all cases to a Gaussian regression with R values within the range 0.8-0.9. The model was validated representing real odor concentration near the maximum value against predicted odor concentration of each substrate, (R=0.9314; 95% prediction interval). The variables of maximum odor concentration (ou/m) and the time (h) at which the maximum was reached were also evaluated statistically using ANOVA and a post-hoc Tukey test taking the substrate as a factor, which allowed homogeneous groups to be obtained according to one or both of these variables. The maximum oxygen consumption rate or organic matter degradation during composting was directly related to the maximum odor emission generation rate (R=0.9024, 95% confidence interval) when only the organic wastes with a low content in lignocellulosic materials and no inoculated waste (HRIO) were considered. Finally, the composting of OFMSW would produce a higher odor impact than the other substrates if this process was carried out without odor control or open systems.
采用动态呼吸计对 6 种不同可堆肥基质和 1 种添加细菌接种物的可堆肥基质进行了堆肥过程评估。尽管可堆肥基质具有异质性，但累积需氧量（OD，mgOkgVS）均能很好地拟合指数回归，在所有情况下均增长至最大值。根据获得的反应动力学常数（K）值，降解较慢的废物是那些含有木质纤维素材料（绿色废物）或较难生物降解的废物（污水污泥）。在所有情况下，堆肥过程中产生的气味排放也都可以拟合高斯回归，R 值在 0.8-0.9 范围内。该模型通过代表最大气味浓度附近的真实气味浓度与每个基质的预测气味浓度进行验证（R=0.9314；95%预测区间）。使用方差分析和事后 Tukey 检验，根据基质作为一个因素，对最大气味浓度（ou/m）和达到最大浓度的时间（h）这两个变量进行了统计学评估，这允许根据这两个变量中的一个或两个来获得同质组。当仅考虑木质纤维素含量低且未接种废物（HRIO）的有机废物时，堆肥过程中的最大需氧量或有机物降解与最大气味排放生成率直接相关（R=0.9024，95%置信区间）。最后，如果不进行气味控制或采用开放式系统进行 OFMSW 堆肥，其产生的气味影响将高于其他基质。
