{"title":"基于tcn -变压器混合模型的砂岩铀矿床地浸区浸出液pH与铀浓度关系研究","authors":"Zhifeng Liu, Yongfei Lu, Zhenhua Wei, Yipeng Zhou, Lin Liu, Meili Zhao","doi":"10.1007/s10967-025-10303-y","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigates the coupling between pH and uranium concentration in leachate during in-situ leaching (ISL) of sandstone-type uranium deposits. To address the limitations of conventional CNNs regarding gradient instability and the challenges of long-term dependency modeling, a hybrid TCN-Transformer architecture is proposed. With comparable parameter counts and computational complexity, the proposed model achieves superior predictive accuracy for pH-uranium dynamics. Benchmark evaluations demonstrate significant performance enhancements over LSTM, RNN, CNN and GRU based methods. The results establish a computationally efficient framework for real-time process control in uranium ISL.</p></div>","PeriodicalId":661,"journal":{"name":"Journal of Radioanalytical and Nuclear Chemistry","volume":"334 8","pages":"5565 - 5578"},"PeriodicalIF":1.6000,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the relationship between pH and uranium concentration in leachate of sandstone uranium deposit in-situ leaching area based on TCN-transformer hybrid model\",\"authors\":\"Zhifeng Liu, Yongfei Lu, Zhenhua Wei, Yipeng Zhou, Lin Liu, Meili Zhao\",\"doi\":\"10.1007/s10967-025-10303-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study investigates the coupling between pH and uranium concentration in leachate during in-situ leaching (ISL) of sandstone-type uranium deposits. To address the limitations of conventional CNNs regarding gradient instability and the challenges of long-term dependency modeling, a hybrid TCN-Transformer architecture is proposed. With comparable parameter counts and computational complexity, the proposed model achieves superior predictive accuracy for pH-uranium dynamics. Benchmark evaluations demonstrate significant performance enhancements over LSTM, RNN, CNN and GRU based methods. The results establish a computationally efficient framework for real-time process control in uranium ISL.</p></div>\",\"PeriodicalId\":661,\"journal\":{\"name\":\"Journal of Radioanalytical and Nuclear Chemistry\",\"volume\":\"334 8\",\"pages\":\"5565 - 5578\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Radioanalytical and Nuclear Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10967-025-10303-y\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Radioanalytical and Nuclear Chemistry","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s10967-025-10303-y","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Research on the relationship between pH and uranium concentration in leachate of sandstone uranium deposit in-situ leaching area based on TCN-transformer hybrid model
This study investigates the coupling between pH and uranium concentration in leachate during in-situ leaching (ISL) of sandstone-type uranium deposits. To address the limitations of conventional CNNs regarding gradient instability and the challenges of long-term dependency modeling, a hybrid TCN-Transformer architecture is proposed. With comparable parameter counts and computational complexity, the proposed model achieves superior predictive accuracy for pH-uranium dynamics. Benchmark evaluations demonstrate significant performance enhancements over LSTM, RNN, CNN and GRU based methods. The results establish a computationally efficient framework for real-time process control in uranium ISL.
期刊介绍:
An international periodical publishing original papers, letters, review papers and short communications on nuclear chemistry. The subjects covered include: Nuclear chemistry, Radiochemistry, Radiation chemistry, Radiobiological chemistry, Environmental radiochemistry, Production and control of radioisotopes and labelled compounds, Nuclear power plant chemistry, Nuclear fuel chemistry, Radioanalytical chemistry, Radiation detection and measurement, Nuclear instrumentation and automation, etc.