摘要
为了给茅洲河水环境综合整治工程方案优化提供依据,定量评估工程实施对水质改善效果,采用DHI MIKE Flood耦合MIKE 11与MIKE 21,建立了茅洲河一维模型与口外海域二维模型相耦合的水动力与水质数学模型。利用水文与水质同步监测资料对模型进行了率定验证,验证结果表明本模型较好地反映了茅洲河水动力与氨氮浓度变化过程,可用于茅洲河水环境治理工程的水质模拟预测。结合水环境治理工程各阶段入河污染负荷,利用所建模型对茅洲河及主要一级、二级支流的氨氮浓度进行了模拟。结果表明,在水环境综合治理工程实施后,茅洲河氨氮浓度明显降低,水质可得到显著改善,至2017年水体黑臭时间明显下降,至2020年可全面消除黑臭,并可达到V类水。
In order to optimize the engineering measures for the water environment management in Maozhou River and evaluate the effect of the measures quantitatively, an 1 D-2 D coupling model was established by coupling MIKE 11 and MIKE 21 with DHI MIKE Flood. In this coupling model, the Maozhou River is generalized by the one-dimensional(1 D) model and the offshore waters is generalized by the two-dimensional(2 D) model. The model is calibrated and validated by synchronous monitoring data of hydrology and water quality. The results show that the model can reflect the hydrodynamic and ammonia nitrogen(NH_3-N) concentration change process of Maozhou River. Based on the pollution loads in each stage of the project, the concentration of NH_3-N in Maozhou River were simulated by the model. The results show that the concentration of NH_3-N in Maozhou River can be reduced significantly after the rehabilitation project of water environment. By 2017, the black-odor waters can be improved significantly. By 2020, the black-odor waters can be eliminated completely and the water quality of Grade V can be attained most of the time.
引文
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