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Hydrodynamic and water quality modeling of a large floodplain lake (Poyang Lake) in China

机译:中国大型洪泛湖(鄱阳湖)的流体动力学和水质建模

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Floodplain lakes are valuable to humans because of their various functions and are characterized by dramatic hydrological condition variations. In this study, a two-dimensional coupled hydrodynamic and water quality model was applied in a large floodplain lake (i.e., Poyang Lake), to investigate spatial and temporal water quality variations. The model was established based on detailed data such as lake terrain, hydrological, and water quality. Observed lake water level and discharge and water quality parameters (TN, TP, COD~(Mn), and NH~(4)-N) were used to assess model performance. The hydrodynamic model results showed satisfactory results with R _(2)and MRE values ranging between 0.96 and 0.99 and between 2.45 and 6.14%, respectively, for lake water level simulations. The water quality model basically captured the temporal variations in water quality parameters with R _(2)of TN, TP, COD~(Mn), and NH~(4)-N simulation ranges of 0.56–0.91, 0.44–0.66, 0.64–0.67, and 0.44–0.57, respectively, with TP of Xingzi Station and COD~(Mn)of Duchang Station excluded, which may be further optimized with supplementation of sewage and industrial discharge data. The modeled average TN, TP, COD~(Mn), and NH~(4)-N concentrations across the lake were 1.36, 0.05, 1.99, and 0.48?mg/L, respectively. The modeled spatial variations of the lake showed that the main channel of the lake acted as a main pollutant passageway, and the east part of the lake suffered high level of pollution. In addition, consistent with previous water quality evaluations based on field investigations, water quality was the highest (average TN?=?1.35?mg/L) during high water level periods and the poorest (average TN?=?1.96?mg/L) during low water level periods. Scenario analysis showed that by decreasing discharge of upstream flow by 20% could result in the increase of TN and TP concentrations by 25.6% and 23.2% respectively. In summary, the model successfully reproduced the complex water and pollutant exchange processes in the systems involving upstream rivers, the Poyang Lake, and the Yangtze River. The model is beneficial for future modeling of the impact of different load reduction and other hydrological regime changes on water quality variation and provides a relevant example for floodplain lake management.
机译:由于各种功能,洪泛湖湖泊对人类有价值,并以戏剧性的水文条件变化为特征。在这项研究中,应用了二维耦合的流体动力学和水质模型在大型洪泛平原湖(即Poyang Lake)中,探讨了空间和时间水质的变化。该模型是根据详细数据建立的,如湖地形,水文和水质。观察到的湖水水位和排放和水质参数(TN,TP,COD〜(MN)和NH〜(4)-N)用于评估模型性能。流体动力学模型结果表现出令人满意的结果,R _(2)和MRE值分别在0.96和0.99之间,分别为2.45和6.14%,用于湖水水平模拟。水质模型基本上捕获水质参数的时间变化,TN,TP,COD〜(MN)和NH〜(4)-N仿真范围为0.56-0.91,0.44-0.66,0.64分别与Duchang站的兴氏站TP和0.44-0.57分别排除了Duchang站的TP,除了污水和工业放电数据的补充,可以进一步优化。湖中的模型平均TN,TP,COD〜(Mn)和NH〜(4)-N浓度分别为1.36,0.05,1.99和0.48Ωmg/ L.湖的建模空间变化表明,湖的主渠道充当了主要的污染物通道,湖泊的东部遭受了高水平的污染。此外,在基于现场调查的基础上的水质评估中,水质最高(平均TN?= 1.35?mg / L)在高水位期间和最贫穷的水平(平均tn?= 1.96?mg / l) )在低水位期间。场景分析表明,通过降低上游流量的放电20%,可能导致TN和TP浓度增加25.6%和23.2%。总之,该模型成功地复制了涉及上游河流,鄱阳湖和长江的系统中的复杂水和污染物交换过程。该模型有利于未来的不同负荷减少和其他水文制度对水质变化变化的影响,为洪泛湖北管理提供了相关示例。

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