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Updated: Jun 17, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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使用基于土壤吸附因子,XRF和XRD频谱数据的多式机器学习来预测分布系数.

Seongyeon Na1, Heewon Jeong2, Ilgook Kim3

  • 1Department of Civil, Urban, Earth and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.

Journal of hazardous materials
|August 9, 2024
PubMed
概括

预测放射性核酸在土壤中的迁移至关重要. 一个新的多式模式模型整合了土壤特性和吸附因子,在预测分布系数 (Kd) 中实现了高精度,以实现更安全的核设施管理.

关键词:
吸附方式 吸附方式 吸附方式分布系数 分布系数多式联络模式模型放射性核化物 放射性核化物

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Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
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