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Application of machine learning in microwave remediation of total petroleum hydrocarbon contaminated soil: Prediction and key factor identification.

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第一作者： Jun,Fang

第一单位： School of Civil Engineering, Xi 'an University of Architecture and Technology, Xi 'an, 710055, China. Electronic address: fangjun_1216@163.com.

作者： Jun,Fang ^[1] ; Qian,Geng ^[2] ; Yuan,Yuan ^[3] ; Junxi,Cheng ^[4] ; Zhushan,Shao ^[5]

作者单位： School of Civil Engineering, Xi 'an University of Architecture and Technology, Xi 'an, 710055, China. Electronic address: fangjun_1216@163.com. ^[1] School of Science, Xi 'an University of Architecture and Technology, Xi 'an, 710055, China. Electronic address: qiangeng@xauat.edu.cn. ^[2] School of Science, Xi 'an University of Architecture and Technology, Xi 'an, 710055, China. Electronic address: yuanyuan@xauat.edu.cn. ^[3] School of Civil Engineering, Lanzhou University of Technology, Lanzhou, 730050, China. Electronic address: junxicheng0119@163.com. ^[4] School of Science, Xi 'an University of Architecture and Technology, Xi 'an, 710055, China. Electronic address: shaozhushan@xauat.edu.cn. ^[5]

关键词 Extreme gradient boosting model Machine learning Microwave thermal remediation Total petroleum hydrocarbons Tree-structured Parzen estimator optimization

医学主题词微波(Microwaves);土壤污染物(Soil Pollutants);模型, 统计学(Models, Statistical);环境污染(Environmental Pollution);决策支持技术(Decision Support Techniques);石油(Petroleum)

DOI 10.1016/j.jenvman.2025.126503

PMID 40682951

发布时间 2025-08-12

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准确一般字义偏差语意偏离译文作用小提交