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Enregistrement W2610020916 · doi:10.15625/0866-7187/39/2/9703

Improved method for hydrochemical exploration of mineral resources

2017· article· en· W2610020916 sur OpenAlexaboutno aff
Nguyễn Văn Luyện, Олег Геннадьевич Савичев, Виктор Алексеевич Домаренко, Quach Duc Tin

Notice bibliographique

RevueVietnam Journal of Earth Sciences · 2017
Typearticle
Langueen
DomaineComputer Science
ThématiqueGeochemistry and Geologic Mapping
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeologyProspectingHydrology (agriculture)Drainage basinSurface runoffStructural basinSTREAMSGeochemistryTectonicsChannel (broadcasting)Mining engineeringGeomorphologyGeotechnical engineeringPaleontology

Résumé

récupéré en direct d'OpenAlex

The article deals with a method for hydrochemical exploration and poorly studied areas based on the simulation and statistical modeling of the hydrochemical field. The peculiarity of the method is a prospecting area spotting under the following conditions: (1) the maximal ratio between river basin in the Riverhead without evident channel network and the total river basin; (2) the river network and tectonic deformations maximum; (3) presence of low-flow rate sections with relatively sharp breaks in grade of the water surface (outflow of rivers from mountainous areas onto the sub-mountain plain, extended sections of channel multi-branching). A sampling of 2-3 samples of surface water, 2-3 samples of river bed sediments, and 2-3 samples of ground water is taken at prospective sections and contiguous territories and the chemical composition determined. The geo-informational analysis and obtained data are used to determine the parameters of the model of the area under study, a predictive assessment of the hydrochemical indicators for prospective sections is carried out, and a detailed examination is planned and performed. The expected reduction in the cost of exploration compared to currently used methods is approximately 20%.References Alekseyenko V.A, 2005, Geochemical methods of ore deposits searches, Logos, Moscow. In Russian, 354p. Barsukov V.L, Grigoryan S.V, Ovchinnikov L. N, 1981. Geochemical methods of searches of ore deposits, Nauka, Moscow. In Russian, 318p. Benedini M., Tsakiris G, 2013. Water Quality Modelling for Rivers and Streams, Springer, Dordrecht, 287p. Chebotaryov N.P, 1962. Theory of stream runoff, Moscow State University, Moscow. In Russian, 464p. Dao Manh Tien, 1984. Methodology and features of geochemical specialization granitoide formations of Northern Vietnam, Azerbaijan State University, Baku. In Russian, 198p. Davis J. C, Statistics and data analysis in geology. 2nd edition, 1986, J. Wiley&Sons, Toronto, 266p. Dolgonosov B.V, Korchagin K.A, 2005. Probabilitical laws of the hydrochemical phenomena, Water resources, 4, 452-458. Domarenko V.A, 2012. Rational a technique of searches and a geology-economic estimation of ore deposits of rare and radioactive elements. Vol.1, Prediction. Exploration and Evaluation, Tomsk Polytechnic University Publishing, Tomsk. In Russian, 167p. Fadeyev V.V, Tarasov M.P, Pavelko V.L, 1989. A dependence of a total dissolved substancies and ionic composition of water of the rivers from their water regime, Hydromet, Leningrad. In Russian, 173p. Gamov M.I, Granovskaya N.V, Levchenko S.V, 2012. Metals in a coal. South Federal University, Rostov on Don, Russia, 45p. Garrels R.M, Christ C.L, 1965. Solution, minerals and equilibria, Freeman, Cooper, San Francisco. 450p. Grenthe I, Puigdomenech I, 1997. Symbols, standards and conventions, in: Modelling in aquatic chemistry. Nuclear energy agency, Paris, 35-68. Kolotov B.A, 1992. Hydrogeochemistry of ore deposits, Nedra, Moscow. In Russian, 192p. Kopylova Yu.G., Guseva N.V, 2014. Hydrogeochemical methods of searches of ore deposits, Tomsk Polytechnic University Publishing, Tomsk. In Russian, 179p. Kraynov S.R, Ryzhenko B.N, Shvets,V.M, 2004. Geochemistry of ground waters. Theoretical, Applied and Environmental Aspects, M: Science, Moscow. In Russian, 677p. Lasaga A.C, 1995. Fundamental approaches in describing mineral dissolution and precipitation rates, Reviews in Mineralogy. Chemical Weathering Rates of Silicate Minerals, Mineralogical Society of America, 31, 23-86. Lavyorov N.P. and Patyk-Kara N.G, 1997. Loosing ore deposits of Russia and countries of SNG, ed., Nauchny Mir, Moscow. In Russian, 453p. Lekhov A.V, 2010. Physical-geochemical hydrodynamic. KDU, Moscow. In Russian. 500p. Lerman A, 1979. Geochemical Processes Water and Sediment Environments, Wiley-Intersience Public, New York, 481p. Levashov S.P, Yakymchuk N.A., Korchagin I.N., Bozhezha D.N, 2010. Operative estimation of the ore-bearing prospects of the license areas and the areas of operating mines and ore deposits, Geoinformatika (Ukraina). In Ukr./Rus, 4, 23-30. Loucks D.P, Van Beek E, 2005. Water resources systems planning and management. An Introduction to Methods, Models and Applications, UNESCO Publishing, Turin, 680p. Martinson L. K, Malov Yu. I, 1996. Differential equations of mathematical physics. IGTU of N. E. Baumann Publishing, Moscow, XII (1996) 1-368. In Russian. Mezhevelovsky N. V. and Smyslov A.A., 2001. Mineral wealth of Russia. Vol.1, Mineral Resources, ed.. Mining Institute ICGC, Saint Peterburg - Moscow. In Russian, 285p. Mujumdar P.P, Kumar D.N, 2012. Floods in a Changing Climate. Hydrologic Modeling, Cambridge University Press, New York, USA, 177p. Nguyen Kinh Quoc, 2001. The Map of geological conditions and mineral resources in scale 1:200,000 of Bac Kan province, sheet F48-XV, Main Department of Geology and Minerals of Vietnam, Hanoi. In Vietnamese. Perelman A.I, 1979. Geochemistry, high school, Moscow. In Russian, 423p. Polikarpochkin V.V, 1976. Secondary auras and streams of dispersion, Science, Novosibirsk. In Russian, 407p. Requirements to manufacture and results multi-purpose geochemical mapping of scale 1:200.000, IMGRE, Moscow, 2002. In Russian. Rozhdestvensky A.V, Chebotaryov A.I, 1974. Statistical methods in a hydrology, Hydromet, Leningrad. In Russian, 424p. Savichev O. G, Domarenko V. A, 2014. Laws of change of the chemical composition of river sediments and their use in searches of minerals, Fundamental research, 6, 520-525. In Russian. Savichev O.G, 2010. Discharge regulation in surface water bodies, Water: chemistry and ecology, Vol. 9, 35-39. In Russian. Savichev O.G, 2015. Distribution of Inorganic Pollutants over the Depth of Upper Peat Deposit, Contemporary Problems of Ecology, 1, 118-124. Savichev O.G, Nguyen Van Luyen, 2015. Hydroecological condition between the Gam and Kau rivers (Northern Vietnam), Bulletin of Tomsk Polytechnic University, 7, 96-103. Savichev O.G, Nguyen Van Luyen, 2015. The technique of determining background and extreme values of hydrogeochemical parameters, Bulletin of Tomsk Polytechnic University, 9, 133-142. In Russian.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,515
Score d'incertitude au seuil0,300

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0020,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,048
Tête enseignante GPT0,310
Écart entre enseignants0,262 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreMéthodes

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations8
Publié2017
Routes d'admission1
Résumé présentoui

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Même revueVietnam Journal of Earth SciencesMême sujetGeochemistry and Geologic MappingTravaux en français237 207