Yan Zhang, Hemeng Zhang, Xiaoying Liu, Shuliang Jia, Yongjun Wang, Hung Vo Thanh
{"title":"Prediction of Coal Spontaneous Combustion Temperature Using Boruta–NGO–GBDT: A Machine Learning Approach to Feature Selection and Metaheuristic Optimization","authors":"Yan Zhang, Hemeng Zhang, Xiaoying Liu, Shuliang Jia, Yongjun Wang, Hung Vo Thanh","doi":"10.1007/s11053-026-10670-7","DOIUrl":"https://doi.org/10.1007/s11053-026-10670-7","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"3 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147536073","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":"A Foundation Model for Geochemical Anomaly Identification","authors":"Luyi Shi, Renguang Zuo","doi":"10.1007/s11053-026-10664-5","DOIUrl":"https://doi.org/10.1007/s11053-026-10664-5","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"100 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147462032","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":"Random Forest Modeling of Bastnäs-Type REE Deposits in Bergslagen, Central Sweden: Testing the EIS Toolkit for Mineral Potential Mapping","authors":"Patrick Casey, Martiya Sadeghi","doi":"10.1007/s11053-026-10657-4","DOIUrl":"https://doi.org/10.1007/s11053-026-10657-4","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"17 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147462033","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":"Integrated Groundwater Assessment in Kulon Progo Using Vertical Electrical Sounding, Geological, and Hydrochemical Data","authors":"Nurul Dzakiya, Manjula Natesan, Ying-Chu Chen","doi":"10.1007/s11053-026-10656-5","DOIUrl":"https://doi.org/10.1007/s11053-026-10656-5","url":null,"abstract":"Vertical electrical sounding (VES), geological, and hydrochemical data were integrated to assess aquifer characteristics and pollution risks in Kulon Progo. The VES data come from 13 stations surveyed with the Schlumberger configuration, selected for its ability to explore deeper subsurface environments with cost-effective electrode spacing. The VES data were inverted with PROGRESS 3.0, a 1D layered resistivity modeling software capable of producing numerical and graphical results. All hydrochemical parameters (total dissolved solids (TDS), pH, NO <jats:sub>3</jats:sub> , NO <jats:sub>2</jats:sub> , Cr <jats:sup>6+</jats:sup> , Fe, Mn) were within acceptable standards except for one well with turbidity (36.6 NTU) and Fe (0.5261 mg/L) far beyond the standards. According to the Regulation of the Republic of Indonesia Minister of Health No. 32/2017, acceptable values were 5 NTU for turbidity and 0.3 mg/L, for Fe. High levels of microbiological contamination, indicated by the presence of <jats:italic>Escherichia coli (E. coli)</jats:italic> and coliform bacteria far in excess of 0 CFU/100 mL, were also detected. Strong negative correlations ( <jats:italic>r</jats:italic> < –0.7) between resistivity and microbially/metal-associated parameters like TDS ( <jats:italic>r</jats:italic> = –0.732) suggest that low-resistivity, clay-rich areas are more susceptible to contamination. Overall, the study revealed that although groundwater in the area is of chemical quality, its microbiological quality poses severe health risks, thus an urgent need for proper treatment and enhanced groundwater management practices.","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"62 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147368122","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}
Gang Bai, Ran Liang, Wei Wang, Yun Qi, Xiaowen Zhang, Xueming Li, Xun Zhang
{"title":"Dynamic Early Warning Model for Coal Spontaneous Combustion Based on Machine Learning","authors":"Gang Bai, Ran Liang, Wei Wang, Yun Qi, Xiaowen Zhang, Xueming Li, Xun Zhang","doi":"10.1007/s11053-026-10649-4","DOIUrl":"https://doi.org/10.1007/s11053-026-10649-4","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"16 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147368124","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}