{"title":"Energy and Permeability Characteristics of Gassy Coal Throughout Loading–Unloading Failing Process","authors":"Qiuping Li, Jie Liu, Hao Wang","doi":"10.1007/s11053-026-10647-6","DOIUrl":"https://doi.org/10.1007/s11053-026-10647-6","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"110 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147360186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xinglei Song, Congjun Feng, Zhen Qiu, Sizhong Peng, Teng Li, Pengfei Wu, Zhiqiang Chen, Mengsi Sun
{"title":"Lithology Identification Method for Marine–Continental Transitional Shale Systems Based on Superposition Reconstruction: A Case Study of the Shanxi Formation, Ordos Basin, China","authors":"Xinglei Song, Congjun Feng, Zhen Qiu, Sizhong Peng, Teng Li, Pengfei Wu, Zhiqiang Chen, Mengsi Sun","doi":"10.1007/s11053-026-10644-9","DOIUrl":"https://doi.org/10.1007/s11053-026-10644-9","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"25 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147287173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wang Kai, Zuo Xiaohuan, Du Feng, Sun Jiazhi, Zhang Xiang, Li Kangnan, Ju Yang
{"title":"Seepage–Damage–Failure of Gas-Bearing Coal–Rock Composite System Subjected to Different Conditions: Implication for Disaster Prevention Mechanism of Outburst–Rockburst Composite Dynamic Disaster","authors":"Wang Kai, Zuo Xiaohuan, Du Feng, Sun Jiazhi, Zhang Xiang, Li Kangnan, Ju Yang","doi":"10.1007/s11053-026-10645-8","DOIUrl":"https://doi.org/10.1007/s11053-026-10645-8","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"31 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147287176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kangnan Li, Yaqin Wu, Feng Du, Xiang Zhang, Yiqiao Wang, Jiazhi Sun, Yangyang Guo, Minghao Zhao
{"title":"Time-Series Prediction of Mine Gas Concentration Based on CEEMDAN–SCSSA–CNN–BiLSTM","authors":"Kangnan Li, Yaqin Wu, Feng Du, Xiang Zhang, Yiqiao Wang, Jiazhi Sun, Yangyang Guo, Minghao Zhao","doi":"10.1007/s11053-026-10648-5","DOIUrl":"https://doi.org/10.1007/s11053-026-10648-5","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"25 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147287186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessing and Predicting Land-Use/Land-Cover Changes, and Land Surface Temperature Impacts on Gilgel Gibe Water Resources, Ethiopia","authors":"Amanuel Kumsa Bojer, Muluneh Wolde Tsadik, Saralees Nadarajah, Ayad M. Fadhil Al-Quraishi","doi":"10.1007/s11053-026-10646-7","DOIUrl":"https://doi.org/10.1007/s11053-026-10646-7","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"43 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comment on \"Estimating Total Dissolved Solids in Groundwater Using Machine Learning Models\" by Sumita Gulati, Anshul Bansal and Ashok Pal, in Natural Resources Research DOI: 10.1007/s11053-025-10480-3","authors":"Eyyup Ensar Başakın","doi":"10.1007/s11053-026-10643-w","DOIUrl":"https://doi.org/10.1007/s11053-026-10643-w","url":null,"abstract":"In this paper, specific technical aspects of the study conducted by Gulati (Nat Res Res 34:1623–1644, 2025) are critically examined. In their original study, Gulati (Nat Res Res 34:1623–1644, 2025) utilized several machine learning (ML) techniques to estimate the total solids in groundwater systems. While the study demonstrates the increasing role of data-driven approaches in hydrogeological applications, certain methodological choices, including performance metric formulation, train-test strategy, model comparability, and statistical validation, require further technical clarification. The present commentary aims to provide a focused methodological evaluation rather than a comprehensive review. In doing so, it highlights quantitative inconsistencies in reported evaluation metrics, differences in model partitioning strategies that affect result comparability, and ambiguity regarding feature attribution and statistical testing procedures. These issues have direct implications for reproducibility and the scientific validity of performance claims. The novelty of this commentary lies in its targeted assessment of methodological reproducibility in ML-based groundwater modeling studies, which has not been explicitly addressed in prior critiques. By discussing these aspects, the commentary intends to support the development of more transparent, statistically robust, and reproducible ML practices in future hydrogeological research.","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"23 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146230896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}