FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313410608> ?p ?o ?g. }

• W4313410608 endingPage "107142" @default.
• W4313410608 startingPage "107142" @default.
• W4313410608 abstract "The mining industry, in most cases, targets a specific valuable commodity that is present in small quantities within large volumes of extracted material. After milling and processing, most of the extracted material and the effluents are stored as waste (tailings) in impoundments, such as dams or waste dumps, or are backfilled into underground mines. In time, tailing materials may become an issue of environmental and health concern due to the hazardous elements, ions, and oxides contained within the waste material. In addition, handling and storage of such waste in dams may pose the risk of dam failure with catastrophic consequences to nature and nearby communities. On the other hand, tailings may offer potential as secondary sources of critical elements (CEs), including rare earth elements (REEs), which may have been overlooked during primary production and processing. Therefore, treating mine tailings as a resource has economic and environmental benefits by reducing the waste from new and historical mine sites through remining. One of the critical steps for taking advantage of these benefits is to spatially quantify the resources and the pollutants, which require the application of adequate data analysis and modeling methods, often to compositional geochemical data. Utilizing adequate methods is especially important for correctly quantifying resource potential, as the quantities will often be at low concentrations. This work presents quantification of resource potential (Au, Ag, Cu, Zn, Pb) and elements of environmental concern (Hg and As) from the tailings of a historic mine site, Katherine Mine, AZ, USA. Data reported by the U.S. Bureau of Mines (USBM) after extensive field campaigns in the 1990s, including sampling from tailing impoundment and surrounding areas for geochemical characterization and geophysical surveys, were used. First, compositional data (CoDa) analysis was employed to explore associations of sampling locations, geochemical parts, and the clustering of samples. Next, sequential Gaussian simulation (SGSIM) was applied to samples that showed a genetic link to tailing material after isometric log-ratio transformation (ilr) and mix/max autocorrelation factor (MAF) transformation for spatial modeling and uncertainty evaluation. Geostatistical results revealed spatial variability of concentrations within the tailing area. Uncertainty evaluation based on realizations indicated that Cu (14.27–20.01 t), Zn (44.23–76.23 t), and Pb (22.56–38.28 t) are the most abundant elements within a 5 %–95 % interval, followed by Ag and Au (~5.3 and 0.18 t, at 50th percentile), respectively. Of the elements of health concern, As was found to be ~4.8 t (50th percentile) in the tailing area. The work also showed that ~0.51 t As, 0.005 t Hg, 0.020 t of Au, and 0.62 t of Ag were carried to Lake Mohave by an ephemeral stream called Katherine Wash, which transects the tailings." @default.
• W4313410608 created "2023-01-06" @default.
• W4313410608 creator A5057218964 @default.
• W4313410608 creator A5060909146 @default.
• W4313410608 creator A5086772514 @default.
• W4313410608 date "2023-02-01" @default.
• W4313410608 modified "2023-09-25" @default.
• W4313410608 title "Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA" @default.
• W4313410608 cites W1565234293 @default.
• W4313410608 cites W1875315658 @default.
• W4313410608 cites W1968596810 @default.
• W4313410608 cites W1977399802 @default.
• W4313410608 cites W1981871216 @default.
• W4313410608 cites W2009009124 @default.
• W4313410608 cites W2045555997 @default.
• W4313410608 cites W2054934915 @default.
• W4313410608 cites W2065635141 @default.
• W4313410608 cites W2078112764 @default.
• W4313410608 cites W2091136482 @default.
• W4313410608 cites W2106308596 @default.
• W4313410608 cites W2113758107 @default.
• W4313410608 cites W2163366377 @default.
• W4313410608 cites W2211905129 @default.
• W4313410608 cites W2377009255 @default.
• W4313410608 cites W2531482858 @default.
• W4313410608 cites W2774628660 @default.
• W4313410608 cites W2887478733 @default.
• W4313410608 cites W2901247130 @default.
• W4313410608 cites W2909401268 @default.
• W4313410608 cites W2943097266 @default.
• W4313410608 cites W2944600264 @default.
• W4313410608 cites W2962041457 @default.
• W4313410608 cites W3000590998 @default.
• W4313410608 cites W3013116498 @default.
• W4313410608 cites W3015451960 @default.
• W4313410608 cites W3025654489 @default.
• W4313410608 cites W3044570295 @default.
• W4313410608 cites W3084036705 @default.
• W4313410608 cites W3123581417 @default.
• W4313410608 cites W3131363264 @default.
• W4313410608 cites W3131580551 @default.
• W4313410608 cites W3135171415 @default.
• W4313410608 cites W3136256563 @default.
• W4313410608 cites W3137240515 @default.
• W4313410608 cites W3157527009 @default.
• W4313410608 cites W3164610427 @default.
• W4313410608 cites W3197500500 @default.
• W4313410608 cites W4213441240 @default.
• W4313410608 cites W4221053352 @default.
• W4313410608 cites W4223923539 @default.
• W4313410608 doi "https://doi.org/10.1016/j.gexplo.2022.107142" @default.
• W4313410608 hasPublicationYear "2023" @default.
• W4313410608 type Work @default.
• W4313410608 citedByCount "0" @default.
• W4313410608 crossrefType "journal-article" @default.
• W4313410608 hasAuthorship W4313410608A5057218964 @default.
• W4313410608 hasAuthorship W4313410608A5060909146 @default.
• W4313410608 hasAuthorship W4313410608A5086772514 @default.
• W4313410608 hasConcept C127413603 @default.
• W4313410608 hasConcept C147455438 @default.
• W4313410608 hasConcept C16674752 @default.
• W4313410608 hasConcept C191897082 @default.
• W4313410608 hasConcept C192562407 @default.
• W4313410608 hasConcept C206345919 @default.
• W4313410608 hasConcept C22507642 @default.
• W4313410608 hasConcept C31258907 @default.
• W4313410608 hasConcept C39432304 @default.
• W4313410608 hasConcept C41008148 @default.
• W4313410608 hasConcept C5166401 @default.
• W4313410608 hasConcept C548081761 @default.
• W4313410608 hasConcept C87717796 @default.
• W4313410608 hasConceptScore W4313410608C127413603 @default.
• W4313410608 hasConceptScore W4313410608C147455438 @default.
• W4313410608 hasConceptScore W4313410608C16674752 @default.
• W4313410608 hasConceptScore W4313410608C191897082 @default.
• W4313410608 hasConceptScore W4313410608C192562407 @default.
• W4313410608 hasConceptScore W4313410608C206345919 @default.
• W4313410608 hasConceptScore W4313410608C22507642 @default.
• W4313410608 hasConceptScore W4313410608C31258907 @default.
• W4313410608 hasConceptScore W4313410608C39432304 @default.
• W4313410608 hasConceptScore W4313410608C41008148 @default.
• W4313410608 hasConceptScore W4313410608C5166401 @default.
• W4313410608 hasConceptScore W4313410608C548081761 @default.
• W4313410608 hasConceptScore W4313410608C87717796 @default.
• W4313410608 hasLocation W43134106081 @default.
• W4313410608 hasOpenAccess W4313410608 @default.
• W4313410608 hasPrimaryLocation W43134106081 @default.
• W4313410608 hasRelatedWork W1163253081 @default.
• W4313410608 hasRelatedWork W1608043035 @default.
• W4313410608 hasRelatedWork W2124912987 @default.
• W4313410608 hasRelatedWork W2126117468 @default.
• W4313410608 hasRelatedWork W2195166650 @default.
• W4313410608 hasRelatedWork W2363039090 @default.
• W4313410608 hasRelatedWork W2395534984 @default.
• W4313410608 hasRelatedWork W2871719680 @default.
• W4313410608 hasRelatedWork W4232977037 @default.
• W4313410608 hasRelatedWork W2907741066 @default.
• W4313410608 hasVolume "245" @default.

• next