Urban traffic particulate matter emission estimation method

A technology for urban traffic and particulate matter, which is applied in the field of estimation of urban traffic particulate matter emissions, can solve the problems of evaluating the overall emission of urban traffic particulate matter, and achieve the effect of high current situation, wide range and strong objectivity

Inactive Publication Date: 2014-11-19
BEIJING MUNICIPAL ENVIRONMENTAL MONITORING CENT
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the urban traffic system itself is complex and variable, such as the high degree of heterogeneity in the temporal and spatial distribution of roads of different grades, the difference and change of traffic flow on different grades of roads, etc., and it is difficult to accurately and accurately measure the traffic volume on a large scale by only using fixed-point monitoring methods. Quantitative assessment of overall particulate matter emissions from urban traffic

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Urban traffic particulate matter emission estimation method
  • Urban traffic particulate matter emission estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention provides a method for estimating urban traffic particulate emissions. The following will take the data of Beijing in 2012 as an example to describe in detail. The estimating method includes the following steps:

[0026] 1) Selection and processing of remote sensing data: Obtain satellite images of the urban road network through QucikBird satellite remote sensing. The satellite images are high-resolution satellite images with an image spatial resolution not greater than 2m×2m; Perform geometric fine correction on the base map; the accuracy conditions to be met for the geometric fine correction are that the accuracy correction error of multispectral data does not exceed 0.5 pixels, and the accuracy correction error of panchromatic data is within 1 pixel; at the same time, the accuracy of fusion processing is guaranteed. The matching error of multispectral and panchromatic image data should not exceed 1 pixel.

[0027] 2) Remote sensing interpretation...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an urban traffic particulate matter emission estimation method. The urban traffic particulate matter emission estimation method includes the following steps that satellite images are selected and processed, an urban road network is processed through remote sensing interpretation, the dust load coefficients of urban roads are measured, a traffic particulate matter emission factor is calculated through simulation, and the traffic particulate matter emission is measured and calculated. The urban traffic particulate matter emission estimation method has the advantages that through the method, the remote sensing technology and the ground on-site monitoring and simulation analysis technology can be effectively combined; through the remote sensing technology, the characteristics of the urban traffic road network under different spatial and temporal scales can be fast and accurately acquired, and the defect that the overall conditions of the particulate matter emission of the road network cannot be reflected at fixed points on the ground can be compensated for. The advantages of high update, wide range, strong objectivity and the like of remote sensing are combined with the ground on-site monitoring and simulation analysis technology, for traffic particulate matter, the urban traffic particulate matter emission can be estimated, and first-hand data can be provided for control over the total amount of air pollutant emission.

Description

technical field [0001] The invention belongs to the field of atmospheric environment monitoring, and in particular relates to a method for estimating the emission of urban traffic particles. Background technique [0002] According to the PM released by the Beijing Municipal Environmental Protection Bureau in April 2014 2.5 The latest results of source analysis show that Beijing's annual PM 2.5 Among the sources, local sources contribute 64%-72%, while motor vehicle emissions of PM 2.5 31.1% of local sources. Urban traffic emissions are one of the main sources of urban atmospheric particulate matter. From a national perspective, in recent years, the urban areas of major cities have continued to expand, roads have expanded rapidly, and the number of motor vehicles has continued to increase significantly, which has also aggravated the degree of heavy air pollution. Carrying out total traffic pollution discharge control is one of the important ways of urban atmospheric envir...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 李令军姜磊赵文慧
Owner BEIJING MUNICIPAL ENVIRONMENTAL MONITORING CENT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products