| 基于文献统计和模型拟合的污水处理厂N2O排放因子 |
| 摘要点击 1126 全文点击 259 投稿时间：2023-07-03 修订日期：2023-09-19 |
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| 中文关键词 氧化亚氮（N2O） 排放因子 动态模拟 污水处理厂（WWTPs） 总氮去除 |
| 英文关键词 nitrous oxide （N2O） emission factor dynamic simulation wastewater treatment plants （WWTPs） total nitrogen removal |
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| 中文摘要 |
| 污水处理过程中氧化亚氮（N2O）的排放不容忽略. 基于126个实证的文献统计数据分析发现,污水处理厂（WWTPs）的地域因素对N2O排放因子有显著影响. 然而,全球各地区WWTPs的N2O排放因子普遍低于联合国政府间气候变化专门委员会（IPCC）推荐值. 在中国,WWTPs的N2O排放因子（以N2O-N/Ninfluent计）约为0.000 35~0.065 20 kg·kg-1. 同时,不同污水处理工艺的N2O排放因子也存在显著差异,尤其序批式活性污泥（SBR）工艺具有较高排放. 采用统一的缺省排放因子进行核算容易高估N2O排放量,建议各国进行实际监测或模型研究,以制定适合本土情况的分类排放因子. 此外,在126个实证数据中,基于总氮（TN）去除量的N2O排放因子与TN去除率呈弱负相关,更符合生物处理化学计量学,可以提供准确的N2O核算方法. 为此,建立数字孪生模型对案例厌氧-缺氧-好氧（AAO）WWTP进行动态模拟,全面量化N2O的动态排放行为,证明N2O排放具有明显的季节性和日变化性,且仅相当于IPCC推荐排放因子计算值的11%. 比较散点线性拟合和分类平均值指数拟合方法,发现后者能更准确地反映N2O排放因子与TN去除率之间的负相关,进一步建立了基于TN去除量的N2O平均排放因子与TN去除率的指数回归方程以预测N2O的排放. 本研究提供的动态模拟和分类指数拟合方法对同类WWTPs精确核算N2O具有重要参考价值,可为理解和应对N2O排放问题提供帮助. |
| 英文摘要 |
| The emission of nitrous oxide （N2O） during wastewater treatment cannot be ignored. The analysis of statistical data from literature based on 126 empirical studies revealed that the geographical factors of wastewater treatment plants （WWTPs） had a significant impact on N2O emission factors. However, the N2O emission factors of WWTPs in all regions of the world were generally lower than the Intergovernmental Panel on Climate Change （IPCC） recommended values. In China, the N2O emission factors （in N2O-N/Ninfluent） of WWTPs were approximately 0.000 35-0.065 20 kg·kg-1. Meanwhile, the N2O emission factors of different wastewater treatment processes were also significantly different, especially since the sequencing batch reactor （SBR） process had higher emissions. The use of uniform default emission factors for accounting was prone to overestimate N2O emissions, and it is recommended that countries conduct actual monitoring or modeling studies to develop categorical emission factors suitable for local conditions. In addition, the N2O emission factor based on total nitrogen （TN） removal was weakly negatively correlated with TN removal in 126 empirical data, which was more in line with bioprocessing stoichiometry and could provide an accurate accounting method for N2O. To this end, a digital twin model was developed to dynamically simulate a case anaerobic-anoxic-aerobic （AAO） WWTP to comprehensively quantify the dynamic emission behavior of N2O, which demonstrated that N2O emissions had significant seasonal and daily variability and were only equivalent to 11% of the calculated value of the emission factor based on the IPCC recommendation. Comparing the scatter linear fitting and categorical mean exponential fitting methods, it was found that the latter could more accurately reflect the negative correlation between the N2O emission factors and the TN removal rate, and an exponential regression equation between the average N2O emission factor based on the amount of TN removed and the TN removal rate was further developed to predict the N2O emission. The dynamic simulation and categorical index fitting methods provided in this study are important references for the accurate accounting of N2O emissions in similar WWTPs and provide help for understanding and responding to the N2O emission problems. |
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