[使用机器学习方法在高地质背景区域识别土壤母体材料]
Cheng Li1,2, Zhong-Fang Yang3, Qi-Zuan Zhang4
1Guangxi Karst Resources and Environment Research Center of Engineering Technology, International Research Centre on Karst under the Auspices of UNESCO, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China.
Huan jing ke xue= Huanjing kexue
|May 20, 2025
概括
本研究确定了控制中国南部 (Cd) 分布和流动性的关键土壤参数. 机器学习,特别是随机森林模型,准确地预测土壤母体材料,有助于评估Cd生态风险.
科学领域:
- 地质化学 地质化学
- 环境科学 环境科学
- 土壤科学 土壤科学
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