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Updated: Jul 13, 2026

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
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Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation

Published on: July 4, 2014

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高精度的空间预测土壤污染物及其物种在强烈受人类影响的地区

Mingkai Qu1, Saijia Wu2, Xu Guang1

  • 1State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China; University of Chinese Academy of Sciences, Nanjing 211135, China.

Journal of hazardous materials
|December 1, 2024
PubMed
概括

这项研究开发了一种强大的残留焦化方法,使用便携式X射线光,大气沉积和土地使用数据来准确地预测土壤总. 该方法还准确地预测了人类受影响地区的土壤As (III) 种类.

关键词:
大气中的沉积沉积.在现场的便携式X射线光.多源信息融合模型的多源信息融合模型.强大的空间校准模型.强大的空间预测模型.

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Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil12:03

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil

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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...