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Updated: Jun 19, 2026

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中国城市聚合区的PM2.5和臭氧的时空空间变化以及臭氧的气象驱动因素使用可解释的机器学习

Yan Lyu1, Haonan Xu2, Haonan Wu2

  • 1College of Environment, Zhejiang University of Technology, Hangzhou, 310014, China; School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China; Shaoxing Research Institute, Zhejiang University of Technology, Shaoxing, 312077, China.

Environmental pollution (Barking, Essex : 1987)
|November 24, 2024
PubMed
概括

在中国的COVID-19大流行期间,臭氧污染增加,由温度和太阳辐射等气象因素驱动,因地区而异. 可解释的机器学习确定了关键驱动因素,有助于污染控制战略.

关键词:
在COVID-19大流行中,在MERRA-2中,MERRA-2被认为是MERRA-2的替代品.气象学 天气学随机的森林随机的森林这就是 SHAP SHAP 的意思.

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相关概念视频

Linear Approximations01:23

Linear Approximations

For a differentiable function of two variables, linear approximation estimates values near a known point by replacing the curved surface with its tangent plane. Consider the function\begin{equation*}f(x,y)=x^2+3y^2\end{equation*}near the point (2, 1). The exact value at this point is f(2, 1) = 22 + 3(1)2 = 4 + 3 = 7.The linear approximation of f(x, y)) near (a, b) is\begin{equation*}L(x,y)=f(a,b)+f_x(a,b)(x-a)+f_y(a,b)(y-b)\end{equation*}First, compute the partial derivatives: fx(x, y) = 2x and...