基于梯度提升算法的近地面臭氧浓度估算比较

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Abstract This paper proposes an improved model for estimating the temporal and spatial distribution of near-surface ozone concentrations based on the gradient boosting tree optimization algorithm. First, in-situ near-surface O₃ concentrations data, high-resolution satellite observations of atmospheric compositions (TROPOMI, AIRS), ERA5meteorological reanalysis data, and land cover and terrain data were used to investigate thecorrelations among O₃, tropospheric O₃, O₃ precursors, meteorological factors and underlying surfaces in the Beijing-Tianjin-Hebei region. Then, estimation models for near-surface O₃ concentrations based on three different gradient boosting tree algorithm models (GBDT, XGBoost, LightGBM) were developed, and the estimation accuracies of different models were compared and analyzed. Results showed that all three models could accurately estimate near-surface ozone concentrations, with the XGBoost model demonstrating the highest accuracy. The coefficients of determination R² of GBDT, XGBoost, and LightGBM were 0.9489, 0.9547, and 0.9495 respectively, and the root mean square errors RMSE were 13.85μg/m³, 13.26μg/m³ and 13.76μg/m³ respectively. Using filtering methods, correlation analysis, and recursive feature elimination, the XGBoost estimation model was optimized, feature complexity was reduced while maintaining model accuracy. After optimization, the estimation accuracy of the optimized model reached R²=0.9549, increasing the estimation efficiency by about 17%. This paper provided a sophisticated and efficient method for modeling and estimating the temporal and spatial distribution of ozone concentration on a regional scale.

Key words： near-surface ozone tropospheric ozone gradient boosting regression model satellite remote sensing feature selection spatial and temporal distribution

Received: 11 January 2023

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X511

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	Articles by authors
	LIANG Xiao-xia
	XIE Dong-hai
	HAN Zong-fu
	SONG Shi-peng
	ZHANG Xin-xin
	GU Jian-bin
	YU Chao

Cite this article:

LIANG Xiao-xia,XIE Dong-hai,HAN Zong-fu等. Comparison of estimation models for near-surface ozone concentration based on gradient boosting algorithm[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(8): 3886-3899.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I8/3886

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