污水生物脱氮过程N_(2)O排放数学模型研究进展

Recent Advances in Mathematical Modeling of Nitrous Oxides Emissions During Biological Nitrogen Removal from Wastewater

污水生物脱氮过程中产生的N_(2)O是主要温室气体之一,对气候变化影响较大,了解N_(2)O产生途径是减少其排放的关键。该文介绍了污水生物脱氮过程产生N_(2)O的主要生物途径和非生物途径;综述了N_(2)O排放的3类数学模型:基于生物脱氮去除量的经验模型、基于不同产生途径建立的动态机理模型、基于知识的人工智能和数据驱动的统计模型;阐述了新型生物脱氮工艺中N_(2)O排放数学模型;介绍了机理模型校准和验证的方法及关键参数;阐述了各个模型的适用范围及在实际污水处理厂中的应用情况;总结了各种N_(2)O排放数学模型的缺陷,并对模型未来发展方向做了展望。该综述可为模型在不同条件下的选择提供方法,为研究污水生物脱氮过程N_(2)O的产生机理、优化控制污水生物脱氮过程、缓解污水处理厂N_(2)O排放提供理论依据。

N_(2)O produced during biological nitrogen removal from wastewater is one of the major greenhouse gases and has a large impact on climate change. Understanding N_(2)O production pathways in biological nitrogen removal process is the key to reduce N_(2)O. The review describes in detail the main biotic and abiotic pathways of N_(2)O during biological nitrogen removal from wastewater and reviews three types of mathematical models of N_(2)O emissions: experience models based on biological nitrogen removal, dynamic mechanistic models based on different pathways and knowledge-based artificial intelligence and data-driven models. The review describes the mathematical model of N_(2)O emission in the new biological denitrification process;introduces the methods of calibration and validation and key parameters of the mechanistic models;describes the applicability of each model and its application in wastewater treatment plants;summarizes the shortcomings of various mathematical models for N_(2)O emissions, and also presents the future development direction of these models. It provides methods for model selection under different conditions and a theoretical basis for studying the mechanism of N_(2)O emission during biological nitrogen removal from wastewater, optimizing the control of biological nitrogen of wastewater, and mitigating N_(2)O emissions in wastewater treatment plants.