利用地统计学技术优化土壤污染分布预测误差及基于机器学习算法的贡献因子解释

IF 0.4 Q4 GEOLOGY

Economic and Environmental Geology Pub Date : 2023-06-30 DOI:10.9719/eeg.2023.56.3.331

Hosang Han, J. Suh, Yosoon Choi

引用次数: 0

摘要

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Optimization of Soil Contamination Distribution Prediction Error using Geostatistical Technique and Interpretation of Contributory Factor Based on Machine Learning Algorithm

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来源期刊

Economic and Environmental Geology GEOLOGY-

CiteScore

0.70

自引率

33.30%

发文量

期刊介绍： The Economic and Environmental Geology (Econ. Environ. Geol.) is the official journal of the Korean Society of Economic and Environmental Geology. The prime focus of the journal will remain on high-impact original research and reviews in the fields of ore deposits, economic and environmental geology of the solid Earth at all scales. To better represent the changes we face today, Econ. Environ. Geol. particularly encourages submission of papers based on the integration of a multitude of geophysical, geological, geochemical, hydrogeological, mineralogical, and applied geological approaches. Within this space, we are particularly keen to advance roles of Econ. Environ. Geol. in delivering scientific solutions to the pressing issues of our time, namely in reducing our vulnerability to the ''solid-earth'' natural hazards and in resource development applications. With growing demand for access to Earth''s resources and urgent needs to seek new solutions for dealing with harmful waste, we have enormous benefits to be gained from better a understanding of the physics of this extraordinary dynamic planet.