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A supervised machine learning approach to discriminate the effect of carcass leachate on shallow groundwater quality around on-farm livestock mortality burial sites.
Oh, Junseop; Kim, Ho-Rim; Yu, Soonyoung; Kim, Kyoung-Ho; Lee, Jeong-Ho; Park, Sunhwa; Kim, Hyunkoo; Yun, Seong-Taek.
Afiliación
  • Oh J; Department of Earth and Environmental Sciences, Korea University, Seoul 02841, South Korea.
  • Kim HR; Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, South Korea. Electronic address: honeius@kigam.re.kr.
  • Yu S; Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, South Korea.
  • Kim KH; Korea Environment Institute, Sejong 30147, South Korea.
  • Lee JH; Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, South Korea.
  • Park S; National Institute of Environmental Research, Incheon 22689, South Korea.
  • Kim H; National Institute of Environmental Research, Incheon 22689, South Korea.
  • Yun ST; Department of Earth and Environmental Sciences, Korea University, Seoul 02841, South Korea. Electronic address: styun@korea.ac.kr.
J Hazard Mater ; 457: 131712, 2023 09 05.
Article en En | MEDLINE | ID: mdl-37257376
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Agua Subterránea Tipo de estudio: Prognostic_studies Idioma: En Revista: J Hazard Mater Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Agua Subterránea Tipo de estudio: Prognostic_studies Idioma: En Revista: J Hazard Mater Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article