Reliable modelling of sulfide and methane production in sewer systems is required for efficient sewer emission management. Wastewater compositions affect sulfide and methane production kinetics through both its short-term variation influencing the substrate availability to sewer biofilms, and its long-term variation affecting the sewer biofilm structure. While the short-term effect is well considered in existing sewer models with the use of Monod or half-order equations, the long-term effect has not been explicitly considered in current sewer models suitable for network modelling. In this study, the long-term effect of wastewater compositions on sulfide and methane production activities in rising main sewers was investigated. A detailed biofilm model was firstly developed, and then calibrated and validated using experimental data measured during the entire biofilm development period of a laboratory sewer reactor. Based on scenario simulations using the detailed biofilm model, empirical equations describing the long-term effect of sulfate and sCOD (soluble chemical oxygen demand) concentrations on k_H2S (the maximum sulfide production rate of sewer biofilm) and k_CH4 (the maximum methane production rate of sewer biofilm) were proposed. These equations require further verification in future studies before their potential integration into network-wide sewer models.

中文翻译：

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模拟废水成分对下水道生物膜最大硫化物和甲烷产生速率的长期影响

为了有效地进行下水道排放管理，需要对下水道系统中的硫化物和甲烷生产进行可靠的建模。废水成分通过其短期变化影响下水道生物膜的基质利用率，并通过其长期变化影响下水道生物膜结构，从而影响硫化物和甲烷的生成动力学。尽管在现有污水模型中使用Monod或半阶方程很好地考虑了短期效应，但在当前适用于网络建模的污水模型中并未明确考虑长期效应。在这项研究中，研究了废水成分对上升的主要下水道中硫化物和甲烷生产活动的长期影响。首先开发了详细的生物膜模型，然后使用在实验室下水道反应器整个生物膜形成期间测得的实验数据进行校准和验证。基于使用详细生物膜模型的情景模拟，经验方程式，描述了硫酸盐和sCOD（可溶性化学需氧量）浓度对钾的长期影响_提出了H2S（下水道生物膜的最大硫化物产率）和k _CH4（下水道生物膜的最大甲烷产率）。这些方程需要在未来的研究中进一步验证，然后才能潜在地集成到整个网络的下水道模型中。