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Updated: Jul 11, 2026

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开发和应用一个以多任务为导向的深度学习模型,用于量化空气污染物变化的驱动因素:中国太原的一个案例研究

Rumei Li1, Jinghao Zhao1, Kun Feng2

  • 1Extended Energy Big Data and Strategy Research Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China; Shandong Energy Institute, Qingdao 266101, China; Qingdao New Energy Shandong Laboratory, Qingdao 266101, China.

The Science of the total environment
|February 8, 2024
PubMed
概括

一个新的混合模型量化了人类活动和天气如何影响PM2.5和臭氧等空气污染物. 更严格的法规减少了一些污染物,但气候变暖可能会加剧臭氧污染.

关键词:
空气污染物 空气污染物人为干预是人类的干预.深度学习是一种深度学习.气象规范化趋于正常化气象学 天气学

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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...