使

Sangar Khan1, Huimin Gao1, Paul Milham2

  • 1Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, 315211, China; Donghai Institute, Ningbo University, Ningbo, 315211, China; Zhejiang Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research, Ningbo University, Ningbo, 315211, China.

Chemosphere
|June 29, 2024
PubMed
概括

体总有机碳 (TOC) 显著影响体 (CP) 从土壤中的释放. 先进的机器学习模型,特别是XGBoost,准确地预测CP释放,优于传统方法.