【摘要】 针对北方城市河流特征，构建水质模型并进行参数敏感性分析，识别影响各水质指标的关键因子，为河流提出相应的生态调控措施。应用QUAL2K模型分析蒲河（兴国桥—后集体桥段）BOD、氨氮和TP这个3个水质指标变化情况，应用实测水文、水质数据进行参数率定的基础上，对影响3个水质指标的主要参数进行敏感性分析。结果表明，在影响BOD的参数中，碳的温度校正系数(θ_dc)为高敏感参数，碳氧化速率(k_dc)为敏感参数；在影响氨氮的参数中，硝化温度校正系数(θ_na)为高敏感参数，硝化速率(k_na)为敏感参数；在影响TP的参数中，磷的温度校正系数(θ_hp)和磷沉降速率(v_op)均为敏感参数。综合3个水质指标的参数敏感性排序，建议通过对河流实施季节性调控管理、曝气增氧、控制水量和构建湿地等措施改善水质。更多还原

【Abstract】 According to the characteristics of rivers in North China, a water quality model was constructed and the sensitivity analysis of model parameters was carried out. Combined with the sensitivity of parameters and the identification of key factors affecting each index, corresponding ecological regulation measures were put forward for rivers. The QUAL2K model was used to analyze the changes of BOD,ammonia nitrogen and TP of Puhe River（Xingguo Bridge-Houjiti Bridge）,and the measured hydrological and water quality data were used to calibrate and verify the parameters. On this basis, the sensitivity analysis of the main parameters affecting the water quality indexes was carried out. The results showed that among the parameters affecting BOD,θ_dc was a highly sensitive parameter, and k_dc was a sensitive parameter. Among the parameters affecting ammonia nitrogen, θ_na was a highly sensitive parameter, and k_na was a sensitive parameter. Among the parameters affecting TP,θ_hp and v_op were sensitive parameters. Based on the parameter sensitivity ranking of the three water quality indexes, it was suggested to improve the water quality by implementing seasonal regulation and management of rivers, aeration and oxygenation, controlling water quantity and constructing wetlands.更多还原