Han Hong-Juan, Zhai Shui-Jing, Hu Wei-Ping
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Huan Jing Ke Xue. 2010 Jun;31(6):1483-8.
Potamogeton malaianus Miq. is one of the dominant species of submerged aquatic vegetations in Lake Taihu, China. The decomposition of its debris and metabolic detritus is an important part of nutrients cycling in the lake water. Nitrogen and phosphorus transfer model in P. malaianus Miq. decomposition has been set up based on an indoor P. malaianus Miq. decomposition experiment to quantitatively characterize the decomposition process. It mainly focuses on the dissolving process of inorganic nitrogen and phosphorus in P. malaianus Miq., the degradation process of its organic nitrogen and phosphorus, and the boundary's adsorbing process of nitrogen and phosphorus in water. There are eight state variables in the model, including inorganic and organic nitrogen in P. malaianus Miq., inorganic and organic phosphorus in P. malaianus Miq., total nitrogen and total phosphorus in water, and nitrogen and phosphorus adsorbed on container boundary. The model calibration showed a good accordance with the observed results of P. malaianus Miq. decomposition experiment. The dissolve rates of inorganic nitrogen and phosphorus in P. malaianus Miq. are 0.04 d(-1) and 0.06 d(-1) respectively. And the decompose rates of these two state variables are 0.005 25 d(-1) and 0.010 44 d(-1) respectively. Model outputs show that 6.7% nitrogen and 35.8% phosphorus can release from P. malaianus Miq. in the former 5 days. Phosphorus release is prior to nitrogen due to the bigger inorganic/organic ratio of phosphorus than that of nitrogen in P. malaianus Miq., Decomposition of P. malaianus Miq. could be affected by water temperature, and the affection is slight when water temperature is lower according to the model. The model also showed that P. malaianus Miq. decomposition process has influences on water quality in the former days, which can be eliminated by adsorbing process later.
微齿眼子菜是中国太湖沉水水生植被的优势物种之一。其残体和代谢碎屑的分解是湖水营养物质循环的重要组成部分。基于室内微齿眼子菜分解实验,建立了微齿眼子菜分解过程中的氮磷转移模型,以定量表征分解过程。该模型主要关注微齿眼子菜中无机氮和磷的溶解过程、有机氮和磷的降解过程以及水中氮磷在边界的吸附过程。模型中有八个状态变量,包括微齿眼子菜中的无机氮和有机氮、微齿眼子菜中的无机磷和有机磷、水中的总氮和总磷以及吸附在容器边界的氮和磷。模型校准结果与微齿眼子菜分解实验的观测结果吻合良好。微齿眼子菜中无机氮和磷的溶解速率分别为0.04 d⁻¹和0.06 d⁻¹。这两个状态变量的分解速率分别为0.005 25 d⁻¹和0.010 44 d⁻¹。模型输出结果表明,在前5天,微齿眼子菜中6.7%的氮和35.8%的磷会释放出来。由于微齿眼子菜中磷的无机/有机比大于氮,磷的释放先于氮。微齿眼子菜的分解可能受水温影响,根据模型,水温较低时影响较小。该模型还表明,微齿眼子菜分解过程在前期对水质有影响,后期可通过吸附过程消除。