Optimization And Identification For Dissolved Oxygen Concentration Model Relevant Parameter Under Ice Of Cold Lake

Dissolved oxygen is not only essential substances in the process of water biological, but also an important factor to determine the water environment. Thus,the study of dissolved oxygen has great significance and value. According to observed data of the dissolved oxygen concentration 、 water temperature in the Valkea-kotinen lake. Using parameter identification method of the distributed parameter system, we optimize and identify an improved expression form of total dissolved oxygen consumption rate in a one-dimensional model under ice of cold lake. Using expression form of total dissolved oxygen consumption rate, we simulate the changes of other dissolved oxygen concentration. Thesis can be summarized as follows:1 、 According to a one-dimensional parabolic partial differential equation model of dissolved oxygen concentration in the Golosov’s literature and the observed data of the dissolved oxygen concentration 、 water temperature of different depths under the ice in the NO1 position of the Finland’s Valkea-kotinen lake from January to March in 2011, we optimize and identify an improved expression form of total dissolved oxygen consumption rate in a one-dimensional model under ice of cold lake by using parameter identification method of the distributed parameter system.2 、 Using expression form of total dissolved oxygen consumption rate, we simulate the changes of dissolved oxygen concentration under the ice in the NO2 position. Numerical simulation results are consistent with the measured data.The results show that the identified model is efficient and accurate, which can provided reference of other studies about the numerical simulation of dissolved oxygen under ice.