Machine-learning predictions of redox conditions in groundwater in the Mississippi River Valley alluvial and claiborne aquifers, south-central United States / / by Katherine J. Knierim, James A. Kingsbury, and Connor J. Haugh
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| Titolo: |
Machine-learning predictions of redox conditions in groundwater in the Mississippi River Valley alluvial and claiborne aquifers, south-central United States / / by Katherine J. Knierim, James A. Kingsbury, and Connor J. Haugh
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| Pubblicazione: | [Reston, Va.] : , : U.S. Department of the Interior, U.S. Geological Survey, , 2021 |
| Descrizione fisica: | 1 online resource (28 maps) : color + + pamphlet (v, 16 pages : color illustrations, color maps) |
| Soggetto topico: | Groundwater - Quality - Oxidation - Mississippi River Valley |
| Aquifers - Mississippi River Valley | |
| Oxidation-reduction reaction | |
| Aquifers | |
| Soggetto geografico: | Mississippi River Valley |
| Soggetto genere / forma: | Maps. |
| Persona (resp. second.): | KnierimKatherine J. <1985-> |
| KingsburyJames A. | |
| HaughConnor J. | |
| Note generali: | "National Water Quality Program." |
| Nota di bibliografia: | Includes bibliographical references in pamphlet (pages 14-16). |
| Titolo autorizzato: | Machine-learning predictions of redox conditions in groundwater in the Mississippi River Valley alluvial and claiborne aquifers, south-central United States |
| Formato: | Materiale cartografico a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910715383903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |