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Updated: Jul 31, 2026

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
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使用机器学习技术量化环境变量对骑自行车者暴露在PM2.5中的贡献

Martín Rodríguez Núñez1,2, Iván Tavera Busso1,2, Hebe Alejandra Carreras1,2

  • 1Instituto Multidisciplinario de Biología Vegetal (IMBIV), Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina.

Heliyon
|February 1, 2024
PubMed
概括

骑自行车的人面临着严重的空气污染暴露. 这项研究开发了一种机器学习模型,识别影响城市骑自行车者微颗粒物 (PM2.5) 暴露的时间和环境因素.

关键词:
骑自行车的人暴露模型 暴露模型机器学习 机器学习对于PM2.5来说,这是一个很好的例子.城市环境 城市环境

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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...