Atmospheric O3 concentration prediction method based on comparison and optimization of multiple models

A concentration prediction and model technology, applied in the field of air pollution prediction model construction, can solve problems such as destruction and human health damage

Inactive Publication Date: 2020-08-04
TIANJIN UNIV
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Problems solved by technology

At the same time, the damage caused by air pollution to human health a...

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  • Atmospheric O3 concentration prediction method based on comparison and optimization of multiple models
  • Atmospheric O3 concentration prediction method based on comparison and optimization of multiple models
  • Atmospheric O3 concentration prediction method based on comparison and optimization of multiple models

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Embodiment Construction

[0033] The present invention is described below through specific examples, but the present invention is not limited thereto.

[0034] Taking Beijing as an example to model, apply the model to the O 3 Modeling is carried out, and the specific method flow is as follows figure 1 .

[0035] The concentration data and meteorological data of various atmospheric pollutants are provided by the China Environmental Monitoring Center and the website of the Meteorological Administration.

[0036] 1. Obtaining data and establishing a database

[0037] Collect the concentration data and meteorological data of various atmospheric pollutants in Beijing. The data of atmospheric pollutants include PM 2.5 , O 3 , PM 10 , SO 2 , CO, NO 2 , Meteorological data include air temperature, wind force, and weather.

[0038] After obtaining the data, use Excel to establish a database for the above data;

[0039] 2. Data preprocessing

[0040] Read the concentration data of various atmospheric p...

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Abstract

The invention belongs to the field of atmospheric pollution prediction model construction, and particularly relates to an atmospheric O3 concentration prediction method based on comparison of multiplemodels. The method comprises the following steps: (1) acquiring target urban pollutant concentration data and related meteorological data; (2) preprocessing the original data; (3) determining a prediction model performance evaluation standard; (4) respectively constructing a corresponding O3-multiple linear regression model, a time sequence model and a BP neural network model for the target cityO3, and selecting the BP neural network model; (5) further optimizing the BP neural network, and determining an optimal BP neural network model; and (6) performing sensitivity analysis on the optimalBP neural network model.

Description

technical field [0001] The invention belongs to the field of air pollution prediction model construction, and relates to an atmospheric O 3 Concentration Prediction Methods. Background technique [0002] With the rapid development of the economy and the increase in the number of motor vehicles and industrial enterprises, it is inevitable to consume more fossil energy and natural resources, which directly leads to changes in air quality. At the same time, the damage caused by air pollution to human health and the damage to historical relics, vegetation and monuments are immeasurable. At present, the economic loss caused by acid rain in my country is as high as tens of billions of yuan every year. Environmental monitoring and early warning is the basic work of environmental protection, which is not only related to scientific decision-making, but also related to long-term development. In order to help the public maintain health and improve the quality of life, my country urg...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26G06Q10/06G06N3/00
CPCG06Q10/04G06Q50/26G06Q10/067G06N3/084
Inventor 宋春风王雨
Owner TIANJIN UNIV
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