入湖河流对千岛湖水质影响研究——以CODMn为例

Study on the influence of inflowing rivers on the water quality of Qiandao Lake: taking CODMn as an example

  • 摘要: 以千岛湖湖内重点监测断面高锰酸盐指数(CODMn)实测数据为基础,基于EFDC(environmental fluid dynamics code)模型构建适用于千岛湖的二维水质模型,通过设置不同情景方案,分析千岛湖上游入流和湖周入流CODMn变化对湖内CODMn的影响,解析边界CODMn和湖内重点监测断面CODMn间的响应关系,并定量计算上游入流CODMn变化对湖内重点监测断面CODMn的影响和贡献。结果表明:通过多组常降解系数平行模拟方法,确定千岛湖湖体CODMn的降解系数(k)为0.001 5;上游入流CODMn与湖内重点监测断面CODMn之间存在显著的响应关系,当上游入流CODMn为6.0 mg/L时,湖内威坪林场至三谭岛断面CODMn超过GB 3838—2002《地表水环境质量标准》Ⅱ类标准;上游入流响应系数明显大于湖周入流响应系数,上游入流对湖内威坪林场、小金山、三潭岛、大坝前4个重点监测断面CODMn的贡献率分别为82.0%~92.3%、73.8%~88.2%、53.8%~62.8%和57.7%~76.4%。上游入流是影响千岛湖湖内重点监测断面CODMn的主要因素,建议加强对上游入流的水质监测和污染控制。

     

    Abstract: Based on the measured data of CODMn in the key monitoring sections of Qiandao Lake, a two-dimensional water quality model for Qiandao Lake based on the Environmental Fluid Dynamics Code (EFDC) Model was established. The influence of inflow CODMn from upstream and the inflows around the lake on the CODMn in inner Qiandao Lake were analyzed by various scenarios. The response relation between the boundary CODMn and the CODMn at key monitoring sections in the lake was analyzed, and the influence and contribution of the upstream inflow CODMn variation on the CODMn of the key monitoring sections in the lake were quantified. Results showed that the comprehensive degradation coefficient (k)of CODMn in Qiandao Lake was 0.001 5, according to the parallel simulation of several constant degradation coefficients. There existed an obvious response relation between the upstream inflow CODMn and CODMn in the key monitoring sections. When the upstream inflow CODMn was 6 mg/L, CODMn between Weipinglinchang to Santandao sections exceeded Grade Ⅱ water quality standard of Surface Water Environmental Quality Standards (GB 3838-2002). Meanwhile, simulated results showed that the response coefficients of upstream inflows were obviously larger than that of inflows around the lake. The contribution rate of upstream inflows to CODMn in key monitoring sections of Weipinglinchang, Xiaojinshan, Santandao and Dabaqian was 82.0%-92.3%, 73.8%-88.2%, 53.8%-62.8% and 57.7%-76.4% , respectively. The impact of CODMn on key monitoring sections from upstream inflows was greater than the inflows around the lake. The results indicated that upstream inflows were the main factors affecting the CODMn of the key monitoring sections in Qiandao Lake. Therefore, the water quality monitoring and pollutant control should be strengthened for upstream inflows.

     

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