Taheriyoun Masoud, Salehiziri Moslem, Parand Sina
1Department of Civil Engineering, Isfahan University of Technology, Isfahan, Iran.
2Faculty of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran.
J Environ Health Sci Eng. 2019 Jun 4;17(2):645-656. doi: 10.1007/s40201-019-00378-7. eCollection 2019 Dec.
Biofiltration is one of the most accepted technologies in odor control in wastewater facilities. A biofilter system consists of a bed of organic material providing both as the carrier for the active microorganisms and as nutrient supply. This study was aimed to evaluate and model a biofilter performance operated under real conditions of odor emission from a wastewater pump station located in Khorramabad, Iran.
The media was a mixture of compost and wood chips with a weight ratio of 5:1. The treatment performance of the biofilter was assessed during a 90-day operation period and the gathered data were utilized to develop and determine the best fit kinetic model based on Michaelis-Menten and Ottengraf models. The best fit model was used in the analysis of scenarios defined based on inlet HS loading fluctuations. Also, the effectiveness of the main parameters in biofilter performance was evaluated using a dimensionless sensitivity coefficient.
The best fit model was found the Ottengraf zero-order type limited by diffusion based on the values of R-square (0.98) and mean square error (MSE) (0.002). The results demonstrated a high HS removal efficiency of about 98% in an EBRT (empty bed residence time) of 60 s. despite high fluctuations of inlet concentration under real conditions. The system was able to meet the effluent standard limit of 10 ppm even if the inlet HS loading increases up to two times the base level. According to the results of the defined sensitivity coefficient, the system performance was more sensitive to the inlet concentration than EBRT with a ratio of 1.4.
In addition to the acceptable efficiencies of biofilter in odor removal, the results proved the worth of using a kinetic model in forecasting the system performance which is a useful tool in the design and operation of such systems.
生物过滤是污水处理设施气味控制中最被认可的技术之一。生物过滤系统由一层有机材料组成，该有机材料既作为活性微生物的载体，又作为营养物质供应源。本研究旨在评估和模拟一个在伊朗霍拉马巴德的废水泵站实际气味排放条件下运行的生物过滤器的性能。
介质是堆肥和木屑的混合物，重量比为5:1。在90天的运行期内评估生物过滤器的处理性能，并利用收集到的数据基于米氏模型和奥滕格拉夫模型开发并确定最佳拟合动力学模型。最佳拟合模型用于分析基于进口硫化氢负荷波动定义的情景。此外，使用无量纲灵敏度系数评估生物过滤器性能中主要参数的有效性。
基于决定系数（R²）值（0.98）和均方误差（MSE）（0.002），发现最佳拟合模型是受扩散限制的奥滕格拉夫零级模型。结果表明，在空床停留时间（EBRT）为60秒时，硫化氢去除效率高达约98%，尽管实际条件下进口浓度波动很大。即使进口硫化氢负荷增加到基准水平的两倍，该系统仍能满足10 ppm的排放标准限值。根据定义的灵敏度系数结果，系统性能对进口浓度的敏感度比对EBRT的敏感度高1.4倍。
除了生物过滤器在气味去除方面具有可接受的效率外，结果证明了使用动力学模型预测系统性能的价值，这是此类系统设计和运行中的一个有用工具。
