The deinking pulp (DIP) is a main resource for paper making, and the wastewater from DIP process needs to be treated. Anaerobic biochemical technique has been widely applied in DIP wastewater treatment, due to the remarkable capability in reducing high chemical oxygen demand (COD). In this study, a mathematical simulation model was established to investigate the performance of a full-scale anaerobic biochemical system for treating DIP wastewater. The model was based on Anaerobic Digestion Model No. 1 (ADM1), which was modified according to the specific anaerobic digestion process for DIP wastewater treatment. The hydrodynamic behavior of a full-scale anaerobic biochemical system was considered in this model. The characteristics of the influent DIP wastewater were assessed, and then, the substrate COD proportion was divided successfully for the necessity of ADM1 applying. The Monte Carlo technique was implemented to distinguish the most sensitive parameters that influenced the model output indicators comprising effluent COD and biogas production. The sensitive parameters were estimated and optimized. The optimized value of k_{_m_pro} is 12.02, K_{_S_pro} is 0.35, k_{_m_ac} is 4.26, K_{_S_ac} is 0.26, k_{_m_h2} is 16.62, and K_{_S_h2} is 3.21 × 10^–5. The model was calibrated with 150 days operation values measured in the field. The subsequent 100 days on-site values were used to validate the model, and the results obtained by the simulations were in good agreement. This study provides a meaningful and theoretical model guidance for full-scale wastewater anaerobic biochemical treatment simulation.

脱墨浆（DIP）是造纸的主要资源，DIP工艺的废水需要处理。厌氧生化技术由于具有显着的降低高化学需氧量（COD）的能力，在 DIP 废水处理中得到了广泛的应用。在这项研究中，建立了一个数学模拟模型来研究处理 DIP 废水的全尺寸厌氧生化系统的性能。该模型基于厌氧消化模型 1 (ADM1)，根据 DIP 废水处理的特定厌氧消化工艺进行了修改。在该模型中考虑了全尺寸厌氧生化系统的流体动力学行为。对进水 DIP 废水的特性进行了评估，然后，为满足ADM1应用的需要，成功划分了底物COD比例。实施蒙特卡罗技术以区分影响模型输出指标的最敏感参数，包括出水 COD 和沼气产量。估计和优化敏感参数。的优化值克_{_m_pro}是 12.02，钾_{_S_pro}是 0.35，克_{_m_ac}是 4.26，钾_{_S_ac}是 0.26，克_{_m_h2}是 16.62，并且钾_{_S_h2}是 3.21 × 10 ^–5。该模型使用现场测量的 150 天操作值进行校准。随后的 100 天现场值用于验证模型，模拟结果非常吻合。该研究为全面的废水厌氧生化处理模拟提供了有意义的理论模型指导。