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Updated: Jul 8, 2025

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
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基于稀疏采样和多来源环境数据的土壤重金属空间分布预测.

Yongqiao Sun1, Shaogang Lei1, Yibo Zhao1

  • 1University of Mining and Technology, Xuzhou 221116, Jiangsu Province, China; School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou 221116, China.

Journal of hazardous materials
|December 15, 2023
PubMed
概括

一个新的轻度梯度增强机加普通造 (LGBK) 模型准确地预测土壤重金属分布,即使采样有限. 这种方法可以增强环境管理和修复策略,例如利煤矿基地.

关键词:
环境共变量 环境共变量机器学习 机器学习土壤中含有重金属.空间自相关性 空间自相关性

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相关概念视频

Sampling Plans01:23

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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