Research on the spatial pattern distribution of soil selenium using machine learning methods integrating geographic proximity in complex terrain

IF 2.8 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Journal of Soils and Sediments Pub Date : 2024-06-11 DOI:10.1007/s11368-024-03836-4
Xiaoyan Liu, Qianru Ma, Zhaofen Song, Zhicheng Ye, Xu Zhai, Miao Zhang, Lili Zhang, Qiang Wang
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利用机器学习方法整合复杂地形中的地理邻近性,研究土壤硒的空间分布模式
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来源期刊
Journal of Soils and Sediments
Journal of Soils and Sediments 环境科学-土壤科学
CiteScore
7.00
自引率
5.60%
发文量
256
审稿时长
3.5 months
期刊介绍: The Journal of Soils and Sediments (JSS) is devoted to soils and sediments; it deals with contaminated, intact and disturbed soils and sediments. JSS explores both the common aspects and the differences between these two environmental compartments. Inter-linkages at the catchment scale and with the Earth’s system (inter-compartment) are an important topic in JSS. The range of research coverage includes the effects of disturbances and contamination; research, strategies and technologies for prediction, prevention, and protection; identification and characterization; treatment, remediation and reuse; risk assessment and management; creation and implementation of quality standards; international regulation and legislation.
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