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测试一个时空深度学习模型在沿海城市地区的短期PM2.5预测能力

Qi Liao1, Mingming Zhu2, Lin Wu3

  • 1College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China.

The Science of the total environment
|August 5, 2024
PubMed
概括

一个新的时空深度学习 (STDL) 模型显著改善了城市地区的细颗粒物 (PM2.5) 预测. 这种先进的模型通过更好地捕捉复杂的大气过程,以更准确地预测空气质量,优于传统方法.

关键词:
化学运输模型是化学运输模型.浅层的统计方法 浅层的统计方法空间时间深度学习模型城市PM ((2.5) 的预测.

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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...