Department of Building, Civil & Environmental Engineering, Concordia University, Montreal, Quebec, Canada, H3G 1M8.
Environ Sci Pollut Res Int. 2013 Mar;20(3):1858-69. doi: 10.1007/s11356-012-1310-5. Epub 2012 Nov 23.
Greenhouse gas (GHG) emission in wastewater treatment plants of the pulp-and-paper industry was estimated by using a dynamic mathematical model. Significant variations were shown in the magnitude of GHG generation in response to variations in operating parameters, demonstrating the limited capacity of steady-state models in predicting the time-dependent emissions of these harmful gases. The examined treatment systems used aerobic, anaerobic, and hybrid-anaerobic/aerobic-biological processes along with chemical coagulation/flocculation, anaerobic digester, nitrification and denitrification processes, and biogas recovery. The pertinent operating parameters included the influent substrate concentration, influent flow rate, and temperature. Although the average predictions by the dynamic model were only 10 % different from those of steady-state model during 140 days of operation of the examined systems, the daily variations of GHG emissions were different up to ± 30, ± 19, and ± 17 % in the aerobic, anaerobic, and hybrid systems, respectively. The variations of process variables caused fluctuations in energy generation from biogas recovery by ± 6, ± 7, and ± 4 % in the three examined systems, respectively. The lowest variations were observed in the hybrid system, showing the stability of this particular process design.
采用动态数学模型估算制浆造纸厂废水处理厂的温室气体（GHG）排放。研究表明，GHG 的产生量随操作参数的变化而显著变化，这表明稳态模型在预测这些有害气体的时变排放方面的能力有限。所研究的处理系统采用好氧、厌氧和混合-厌氧/好氧生物工艺以及化学混凝/絮凝、厌氧消化、硝化和反硝化工艺和沼气回收。相关的操作参数包括进水底物浓度、进水流量和温度。尽管动态模型的平均预测值仅比所研究系统运行 140 天的稳态模型低 10%，但 GHG 排放的日变化在好氧、厌氧和混合系统中分别高达±30%、±19%和±17%。工艺变量的变化导致沼气回收产生的能量波动分别为±6%、±7%和±4%。在三种被研究的系统中，混合系统观察到的变化最小，表明该特定工艺设计的稳定性。
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