Integrated application of a Bayesian mixing model, numerical model, and environmental tracers to characterize groundwater recharge sources in a mountainous area.

Koh, Eun-Hee; Lee, Eunhee; Lee, Kang-Kun; Moon, Duk-Cheol

Koh, Eun-Hee; Lee, Eunhee; Lee, Kang-Kun; Moon, Duk-Cheol.

Afiliação

Koh EH; School of Ocean and Earth Sciences, Jeju National University, 102 Jejudaehak-ro, Jeju-si, Jeju Special Self-Governing Province 63243, Republic of Korea.
Lee E; Korea Institute of Geoscience and Mineral Resources, 124 Gwahak-ro, Yuseong-gu, Daejeon 34132, Republic of Korea. Electronic address: eunheelee@kigam.re.kr.
Lee KK; School of Earth and Environmental Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
Moon DC; Water Resource Research Team, Jeju Special Self-Governing Province Development Co., 1717-35 Namjo-ro, Jocheon-eup, Jeju-si, Jeju Special Self-Governing Province 63345, Republic of Korea.

Sci Total Environ ; 853: 158619, 2022 Dec 20.

Article em En | MEDLINE | ID: mdl-36084785

Assuntos

Monitoramento Ambiental; Água Subterrânea; Teorema de Bayes; Reprodutibilidade dos Testes; Isótopos/análise; Água

Palavras-chave

Bayesian mixing model; Environmental tracers; Groundwater recharge; Jeju Island; Numerical model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

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PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article