Traffic air pollutant concentration prediction method and system based on meteorological condition

Abstract

The invention discloses a traffic air pollutant concentration prediction method based on a meteorological condition. The method comprises the following steps: S1, calculating an integrated emission factor based on equivalent traffic volume; S2, calculating the pollutant emission rate of a link, preprocessing a pollutant diffusion source based on a meteorological condition, and calculating the source strength of the pollutant diffusion source; S3, determining the pollution range and concentration of each pollutant according to the diffusion pattern of each pollutant under the meteorological condition; and S4, calculating the pollutant residual concentration in a current time period and the pollutant concentration in a future time period in an observation area, and predicting the predicted pollutant concentration in the future time period in the observation area. The invention further discloses a traffic air pollutant concentration prediction system based on a meteorological condition. Real-time traffic data and meteorological data are considered in the estimation of traffic air pollutant concentration. The concentration residual of pollutants is also considered. The practicability and accuracy of traffic air pollutant concentration prediction are enhanced.

Description

technical field [0001] The invention relates to the field of traffic air pollutant concentration prediction. More specifically, it relates to a method and system for predicting the concentration of traffic air pollutants based on meteorological conditions. Background technique [0002] The continuous growth of motor vehicle ownership and travel demand of urban residents in my country has led to more motor vehicle exhaust emissions, which has seriously affected urban air quality and residents' living environment. Therefore, constructing a method for estimating the concentration of traffic pollutants is of great significance for monitoring the impact of traffic on air pollution. At present, although the traditional traffic pollutant concentration estimation method has formed a system, there are still some deficiencies: First, the existing traffic pollutant concentration prediction method assumes that the traffic emissions are known, and this data is actually difficult to obta...

AI Technical Summary

Problems solved by technology

At present, although the traditional traffic pollutant concentration estimation method has formed a system, there are still some deficiencies: First, the existing traffic pollutant concentration prediction method assumes that the traffic emissions are known, and this data is actually difficult to obtain in large quantities, even if In this method, traffic emissions are obtained through calculation, but the obtained traffic emissions are only proportional to the traffic volume, without considering the influence of other variables, which is not realistic. Therefore, the current method is difficult to accurately obtain road traffic emissions, and Traffic emissions are an important input to the estimation method of traffic pollutant concentration; secondly, the influence of meteorological conditions on the diffusion of pollutants is not fully considered in the existing technology, that is, under different meteorological conditions, the diffusion mode and influence of pollutants should have different ranges, so their predictions are rough

In addition, the existing traffic pollutant concentration prediction method does not consider the residue of pollutants, so the prediction results of each time period lack consistency

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