Influencing Factors of Selenium Spatial Distribution Based on Machine Learning: A Case Study of Surface Soil in Lianzhou City, Guangdong Province

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Publication Details

Journal
EARTH AND ENVIRONMENT
Published
2025-05-20
DOI
https://doi.org/10.3724/ee.1672-9250.2025.53.046
Primary Topic
Water Resources and Management
Type
article
Field-Weighted Citation Impact
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article

Influencing Factors of Selenium Spatial Distribution Based on Machine Learning: A Case Study of Surface Soil in Lianzhou City, Guangdong Province

Wenjie Shen, Zhipeng Liang, Yanhui Lu, Long R. Jiao et al.
EARTH AND ENVIRONMENT
Water Resources and Management
article

Influencing Factors of Selenium Spatial Distribution Based on Machine Learning: A Case Study of Surface Soil in Lianzhou City, Guangdong Province

Wenjie Shen, Zhipeng Liang, Yanhui Lu, Long R. Jiao, Yuhang Li, Jingqi Tu, Yanfeng Hu, Yujie Zhang
article en

Abstract

No abstract available for this paper.
EARTH AND ENVIRONMENTVol. 54(1)
Openalex Percentile: Top 89%
Water Resources and Management
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