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一维水质预测模型在阜新细河流域的应用与验证 被引量:2

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摘要 以阜新细河部分河段为研究对象,对污染物建立一维预测模型并进行验证。结果表明,COD、总磷、总氮和氨氮的预测浓度和监测浓度平均相对误差分别是15%,-8%,-4%和-17%。在采样断面距离较近时,模型预测浓度与监测浓度变化趋势相符程度较高,随距离的增加,相对误差也变大,但两者变化趋势基本相同。该模型可以为辽西干旱地区排污口的科学规划布置提供依据。 In this study, one-dimension water quality model of Xihe river section in Fuxin was constructed and ver- ified by experiments for COD, TP, TN and ammonia nitrogen. The relative average errors between predicted and actual value for COD, TP, TN, ammonia nitrogen is 15%, -8%, -4% and -17%. When the distance from the sampling section is near, the predicted concentration of the model is in good agreement with the changing trend of the monitoring concentration, and the relative error increases with the increase of distance. However the two trends al'e arid basically the same. Therefore, area of western Liaoning the model can provide a basis for the scientific layout of the sewage outlet in the
出处 《环境保护与循环经济》 2018年第1期23-26,共4页 environmental protection and circular economy
基金 国家科技重大专项"水体污染控制与治理科技重大专项"(2012ZX07505-005)
关键词 水质模型 表观降解速率常数 COD 总氮 总磷 氨氮 water quality model apparent degradation rate constant COD TN TP NH3-N
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