Development of total suspended matter prediction in waters using fractional-order derivative spectra.

Wang, Xiang; Song, Kaishan; Liu, Ge; Wen, Zhidan; Shang, Yingxin; Du, Jia

Wang, Xiang; Song, Kaishan; Liu, Ge; Wen, Zhidan; Shang, Yingxin; Du, Jia.

Afiliação

Wang X; Northeast Institute of Geography and Agroecology, CAS, Changchun, 130102, China; University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: wangxiang5690@outlook.com.
Song K; Northeast Institute of Geography and Agroecology, CAS, Changchun, 130102, China; School of Environment and Planning, Liaocheng University, Liaocheng, 252000, China. Electronic address: songkaishan@iga.ac.cn.
Liu G; Northeast Institute of Geography and Agroecology, CAS, Changchun, 130102, China. Electronic address: liuge@iga.ac.cn.
Wen Z; Northeast Institute of Geography and Agroecology, CAS, Changchun, 130102, China. Electronic address: wenzhidan@iga.ac.cn.
Shang Y; Northeast Institute of Geography and Agroecology, CAS, Changchun, 130102, China. Electronic address: shangyingxin@iga.ac.cn.
Du J; Northeast Institute of Geography and Agroecology, CAS, Changchun, 130102, China. Electronic address: jiaqidu@neigae.ac.cn.

J Environ Manage ; 302(Pt A): 113958, 2022 Jan 15.

Article em En | MEDLINE | ID: mdl-34678543

Assuntos

Monitoramento Ambiental; Análise de Ondaletas; China; Análise Espectral

Palavras-chave

Fractional-order derivative; Random forest; Reflectance spectra; Total suspended matter

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Análise de Ondaletas Tipo de estudo: Prognostic_studies / Risk_factors_studies País como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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