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Air pollution exposure risk evaluation method and system

A technology of exposure risk and air pollution, applied in the field of air pollution exposure risk assessment methods and systems, can solve problems such as easy to ignore air pollution risks, and achieve the effect of improving rationality

Pending Publication Date: 2020-09-25
JIUJIANG UNIVERSITY
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Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a method and system for air pollution exposure risk assessment, aiming to solve the problem of ignoring the impact of population factors on environmental air pollution exposure risk assessment in the existing air pollution exposure risk assessment methods, resulting in No-man’s land with a high concentration of air pollutants will be classified as a high-risk area, and it is easy to ignore the risk of air pollution in downtown areas with high population density

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  • Air pollution exposure risk evaluation method and system

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Embodiment 1

[0049] see figure 1 , is a flow chart of the air pollution exposure risk assessment method provided in the first embodiment of the present invention, including steps:

[0050] Step S10, acquiring the remote sensing image of the target area, and classifying the residential land in the target area according to the remote sensing image to obtain a plurality of different types of residential land;

[0051] Wherein, the remote sensing image is a high-resolution remote sensing image corresponding to the target area, for example, the high-resolution remote sensing image may be an IKONOS remote sensing image with a resolution of 1m;

[0052] Preferably, the target area can be a user preset area, a preset city or a preset country, etc., for example, the target area can be cities such as Beijing, Shanghai, Shenzhen or Nanchang, and further, in this step, by According to the remote sensing image, the residential land in the target area is correspondingly divided into three main resident...

Embodiment 2

[0065] see figure 2 , is a flowchart of the air pollution exposure risk assessment method provided by the second embodiment of the present invention, including steps:

[0066] Step S11, acquiring the remote sensing image of the target area, and classifying the residential land in the target area according to the remote sensing image to obtain a plurality of different types of residential land;

[0067] Step S21, obtaining population data of the target area, and spreading the population data on the residential land to obtain population spatial distribution data;

[0068] Step S31, calculating the correlation between the preset independent variable and the dependent variable pollutant concentration, and eliminating variables with unreasonable correlation with the pollutant concentration;

[0069] Among them, 42 variables of road, population, land use, and meteorological factors were selected as the preset independent variables of the LUR model. The processing of various factor...

Embodiment 3

[0090] see image 3 , is a schematic structural diagram of an air pollution exposure risk assessment system 100 provided in the third embodiment of the present invention, including: a land use classification module 10, a population distribution module 11, a model building module 12, a pollution distribution calculation module 13 and a data analysis module 14, in:

[0091] The land use classification module 10 is configured to obtain remote sensing images of the target area, and classify the residential land in the target area according to the remote sensing images to obtain multiple different types of residential land.

[0092] The population distribution module 11 is configured to obtain population data of the target area, and distribute the population data on the residential land to obtain population spatial distribution data.

[0093] The model construction module 12 is used to select key geographic variables and construct a LUR model.

[0094] Wherein, the model building...

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Abstract

The invention provides an air pollution exposure risk evaluation method and system, and the method comprises the steps of carrying out the classification of residential lands according to a remote sensing image of a target region, and obtaining a plurality of different types of residential lands; spreading the population data of the target area on the residential land to obtain population spatialdistribution data; selecting a key geographic variable, and constructing an LUR model; performing grid distribution calculation on the air pollutant simulation data according to the LUR model to obtain the air pollutant simulation data in the target area; and performing data superposition analysis on the population spatial distribution data and the air pollutant distribution data to obtain an airpollution exposure risk partition map. According to the invention, superposition analysis of population space distribution data and air pollutant distribution data is comprehensively considered, the main effect of population factors in air pollution exposure risk evaluation is considered, and the rationality of air pollution exposure risk evaluation is improved.

Description

technical field [0001] The invention belongs to the field of air quality detection, and in particular relates to an air pollution exposure risk assessment method and system. Background technique [0002] As smog continues to break out across the country, the public's awareness of the hazards of air pollutants including PM2.5 has rapidly increased, and demands for smog control across the country have reached unprecedented heights. In 2012, my country issued a new version of air quality standards, PM2.5 and other indicators were also included in the scope of routine air quality monitoring, and major cities across the country began to gradually build a full-coverage air quality monitoring network. [0003] At present, air pollution exposure risk assessment generally uses the pollutant concentration indicators of air quality monitoring stations. However, this method assumes that the population is evenly distributed in all areas, ignoring the impact of population factors on the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F30/23
CPCG06Q10/0635G06F30/23
Inventor 阳海鸥冷清明陈文波
Owner JIUJIANG UNIVERSITY
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