Near-surface nitrogen dioxide concentration estimation method based on Stacking integrated model

An integrated model and near-ground technology, applied in genetic models, calculation models, calculations, etc., to achieve the effect of improving overall performance and optimizing input

Pending Publication Date: 2021-06-01
HENAN UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, there is no report on the application of the ensemble learning model optimized by the genetic algorithm to gas concentration estimation

Method used

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  • Near-surface nitrogen dioxide concentration estimation method based on Stacking integrated model
  • Near-surface nitrogen dioxide concentration estimation method based on Stacking integrated model
  • Near-surface nitrogen dioxide concentration estimation method based on Stacking integrated model

Examples

Experimental program
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Embodiment 1

[0031] S1, get the actual NO of the monitoring site 2 Concentration data, meteorological monitoring data, geographic data and population data.

[0032] The actual NO of the monitoring station of the present invention 2 The concentration data comes from the National Environmental Monitoring Center, using the NO of 107 stations in Henan Province in 2019 from the National Environmental Monitoring Center. 2 Mass concentration data, station distribution as figure 1 shown. NO measured at environmental monitoring points 2 Mass concentration in μg / m 3 Indicates that the monitoring period is 1 hour. The transit time of the satellite is about 13:00 local time, and the average value of the observation data of the ground station at the environmental monitoring point from 13:00 to 14:00 is selected as the daily average value.

[0033]The meteorological detection data of the present invention come from the fifth generation reanalysis data (ECMWF Reanalysis v5, ERA5) of the European Ce...

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Abstract

The invention belongs to the technical field of remote sensing data application technology, and relates to a near-surface nitrogen dioxide concentration estimation method based on a Stacking integrated model, which comprises the following steps: acquiring actual NO2 concentration data, meteorological monitoring data, geographic data and population data of a monitoring station; acquiring satellite remote sensing data of NO2 troposphere column concentration and verifying the satellite remote sensing data; performing data cleaning, averaging actual NO2 concentration data of a monitoring station and NO2 troposphere column concentration satellite remote sensing data in a gridding mode and matched with meteorological monitoring data, and constructing an NO2 data set; performing modeling based on the NO2 data set, three models of GA-RF, GA-GBRT and GA-XGBoost are adopted as base learners, ridge regression is adopted as a meta learner for fusion, and obtaining a Stacking integrated model; and carrying out simulation estimation on the near-surface NO2 concentration by utilizing the Stacking integrated model to obtain the near-surface NO2 concentration. Through the combination of various machine learning algorithms, the defects of a single model are overcome, the input of linear regression is optimized, and the overall performance of the model is improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing data application technology, and relates to a method for estimating the concentration of nitrogen dioxide near the ground based on a Stacking integrated model. Background technique [0002] NO 2 It is an important pollutant in the atmosphere, related to photochemical smog, acid deposition and changes in atmospheric ozone, causing damage to water bodies, soil and the atmosphere. NO 2 not only O 3 , PAN and other important precursors of photochemical pollutants, and can also generate NO through photochemical reactions 3 , forming acid deposition, seriously endangering the atmosphere and ecological environment. NO 2 The natural sources of emissions mainly include natural processes such as lightning, soil emissions, and natural combustion of biomass; fossil fuel combustion and vehicle exhaust emissions are NO 2 The main source of emissions is man-made sources, which account for 2 / 3 of emi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/12G06N20/00G01N33/00
CPCG06N20/00G06N3/126G01N33/0037G06F18/214
Inventor 蔡坤李莘莘刘扬夏禹张旭升
Owner HENAN UNIVERSITY
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