基于湖泊有机物组成的复杂性,提出考虑流速效应的湖泊高锰酸盐指数混合级数降解模型。将高锰酸盐指数分为可降解部分和不可降解部分,把可降解部分的反应级数作为自由参数,避免了事先假定反应级数对模型拟合的限制。以太湖为研究对象,将太湖分为湖湾、湖岸和湖心区,分别进行室内静态和动态模拟实验,研究了不同水动力条件对降解系数的影响,建立降解系数与流速的关系式;考虑不同湖区的流速效应,构建了不同湖区的混合级数模型,模型更为符合有机污染物降解的实际情况,并具有更高的精度和更广的适用性。
Based on the complexity of lake's organic matter, a mixed-order degradation model for perman-ganate index (CODMn) considering the effect of flow velocity was proposed in this paper. Permanganate in-dex was divided into biodegradable part and un-biodegradable part. The reaction order of biodegradable part was considered as a free parameter in this model to avoid the limitation of the model fitting due to the prior assumption reaction series. The Taihu Lake was selected as a case and divided into the lake bay, lake shore and lake central area. Samples collected from these different regions were employed by stat- ic and dynamic experiment respectively. The influence on the degradation coefficient was obtained by the different hydrodynamic conditions. The relationship between degradation coefficient and flow velocity was built. Thus, the mixed-order model of different lake regions was established considering different velocities. This model was more accorded with the actual situation of permanganate index degradation and has higher precision and wider applicability.