Water quality information computing device and method

Abstract

The invention provides a water quality information computing device and a water quality information computing method, which are used for simulating and computing a concentration of pollutants in a water pollution accident, wherein the water quality information computing device comprises an information input module, a computing module and a displaying module, wherein the information input module is used for inputting information for reflecting the concentration of pollutants in an upper reach, the computing module is used for computing the concentration of pollutants of polluted water quality of a lower reach by using a one-dimensional water quality simulating system dynamics model according to input information of the information input module, and the displaying module is used for displaying the information input by the information input module and a computing result output by the computing module. According to the water quality information computing device disclosed by the invention, the system dynamics is applied to a dynamic simulation research of water quality variation of water pollution accidents. The one-dimensional water quality simulating system dynamics model is established to carry out dynamic analogue simulation on the concentration variation of the pollutants in rivers due to physical, chemical and biological processes caused by convection, diffusion, attenuations caused by chemical reactions and biological absorption and the like, so that the concentration of the pollutants in a downstream section is forecasted.

Description

technical field [0001] The invention relates to the technical field of water quality analysis, in particular to a water quality information calculation device and method. Background technique [0002] In recent years, major water pollution accidents have occurred frequently in my country, which have seriously affected the ecological environment, people's health and social security. For example, the Songhua River water pollution accident in November 2005 and the Guangdong Beijiang cadmium pollution accident in December 2005 are typical cases of major water pollution accidents. In the emergency process of water pollution accidents, it is urgent to grasp the temporal and spatial distribution of pollution zones and the concentration of pollutants, so as to formulate emergency response strategies quickly and effectively. In order to meet the requirements of rapid disposal of water pollution accidents, combined with the actual monitoring data at the accident site, the mathematica...

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Problems solved by technology

[0011] (1) The model lacks a strong control function, and it is difficult to provide a quantitative reference basis for the prediction of water pollution accidents and the optimization of emergency measures through the adjustment of various parameters;

[0012] (2) The spatial visualization of the model simulation results is low, and the expression effect is not clear and intuitive;

[0013] (3) There are many model parameters, and the amount of data required for parameter calibration is large, so it is difficult to solve the problem of model parameter calibration caused by the lack of on-site monitoring data for water pollution accidents;

[0014] (4) The operation of the model is complex, and the user needs to spend a certain amount of time to understand the model, and cannot quickly obtain a numerical solution that meets a certain accuracy requirement through simple operations after the accident occurs

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