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Updated: Jun 30, 2026

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减少移动源排放对洛杉矶亚微粒颗粒物度的复杂影响

Benjamin C Schulze1, Christopher M Kenseth2, Ryan X Ward1

  • 1Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA.

ACS ES&T air
|March 12, 2026
PubMed
概括

洛杉矶的移动源排放减少并没有像预期的那样降低气溶的度. 这是由于抵消因素和潜在的测量问题,表明需要专注于非道路和面积来源.

关键词:
气溶是一种气溶.这是SOA的SOA.排放量排放排放量排放量排放量排放量排放移动电话来源 移动电话来源氧化物 氧化物

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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...