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Updated: Jul 25, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

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一个新的四维土壤重金属污染预测模型:超越人工智能"黑子"的地理解释

Qi Wang1, Cangbai Li2, Dongmei Hao3

  • 1National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Science, Guangzhou 510650, China.

Journal of hazardous materials
|June 29, 2023
PubMed
概括

一个新的四维AI模型准确地预测了土壤 (Cd) 污染,克服了当前方法的局限性. 该工具增强了对污染源的理解,并改善了空间预测,以改善环境管理.

关键词:
人工智能的人工智能是人工智能.组合学习学习 组合学习地理解释 地理解释预测 预测 预测土壤污染物的土壤污染物.树木SHAP 树木SHAP 树木

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