Thermal power pollution factor control method of air fine particles
A fine particulate matter and control method technology, applied in the direction of climate sustainability, instruments, data processing applications, etc., can solve the problems of power generation companies being overwhelmed and low profitability of power generation companies, and achieve a good policy support environment and low investment Effect
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Embodiment 1
[0023] see figure 1 , the thermal power pollution factor control method of air fine particulate matter of the present invention, comprises the following steps:
[0024] First, obtain production-related data of thermal power plants from the power production department and meteorological and PM2.5 monitoring data from the environmental protection department, consider the environmental parameters (air pressure, temperature, humidity, wind direction, wind speed, etc.) Power generation and geographical location, quantitatively calculate the impact of pollutants emitted by the single thermal power plant on PM2.5, establish an analysis model of the impact of a single thermal power plant on surrounding environmental pollution, and analyze the PM2.5 diffusion mechanism, establish a long-distance Diffusion model;
[0025]Secondly, after the quantitative analysis of a single thermal power plant is completed, the model is superimposed to form a quantitative analysis model of PM2.5 emissi...
Embodiment 2
[0029] see figure 1 , figure 2 . The thermal power pollution factor control method of air fine particles of the present embodiment is different from embodiment 1, and further: by quantitatively analyzing the impact of the pollution discharge of thermal power enterprises around the city on urban PM2.5, establish as follows figure 2 The thermal power pollution diffusion dynamic GIS system shown in the figure dynamically displays the pollution situation in 3D in the GIS system, and users can obtain the pollution diffusion information intuitively; adopts the analysis idea of complex system network, combines time series analysis and BP neural network method, according to the historical The data (air pressure, temperature, humidity, wind direction, wind speed, etc.) make weekly and monthly forecasts of PM2.5 values by region:
[0030] (a) According to the pollution data of key cities in recent years, carry out statistical analysis, study the change trend of pollution data wi...
Embodiment 3
[0035] The method for controlling thermal power pollution factors of air fine particles in this embodiment starts from the dynamic planning of complex systems to realize economic optimization, establishes a PM2.5 prediction model for cities in my country, and quantitatively analyzes PM2.5 pollution from thermal power plants. Planning and planning of thermal power production in thermal power plants, optimizing the tiered electricity price mechanism, promoting PM2.5 pollution control in thermal power plants, and providing policy basis and auxiliary decision-making for the government and environmental protection units to control PM2.5 pollution in the thermal power industry. Its main steps include:
[0036] (1) Quantitatively analyze the impact of pollution emissions from thermal power enterprises around the city on urban PM2.5, and realize the dynamic GIS system of thermal power pollution diffusion:
[0037] Obtain thermal power plant production-related data from the power produc...
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