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Aggregated multivariate environmental risk (Amer) index and predictive models for heavy metal pollution trends in ecosystems

Datos Bibliográficos

ID7635441
AutoresAbeer A Moneer (0000-0002-3752-2908, National Institute of Oceanography and Fisheries), Mohamed Khedawy (0000-0003-3016-4762, National Institute of Oceanography and Fisheries), Ola E Abdelwahab, Ola Abdelwahab (0000-0001-8451-7987, National Institute of Oceanography and Fisheries), Hoda H H Ahdy (National Institute of Oceanography and Fisheries), Mustafa Amer (0000-0003-0424-1365, National Institute of Oceanography and Fisheries, autor de correspondencia)
Año2025
Volumen51
Páginas100482
Fecha de publicación2025-09-01
Open AccessSí
TipoARTICLE
RevistaAnthropocene (JOURNAL)
Identificadores de la revistaISSN: 2213-3054
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.ancene.2025.100482
OpenAlexW4412001409
IdiomaEN
Referencias citadas97

Biology · Ecosystem · Heavy metals · Multivariate analysis · Multivariate statistics · Statistics · Chemistry · Computer Science · Environmental Science · Geochemistry and Geologic Mapping · Heavy metals in environment · Mathematics · Water Quality and Pollution Assessment · Ecology · Environmental Chemistry · Pollution

  • An ecological risk index for aquatic pollution control.a sedimentological approach

    Open Access•Lars Håkanson•Water Research•1980

  • Distribution of the Elements in Some Major Units of the Earth's Crust

    KARL K TUREKIAN, KARL HANS WEDEPOHL•Geological Society of America…•1961

  • Control problems of grey systems

    Open Access•Deng Ju-Long, Deng Julong•Systems & Control Letters•1982

  • Little Jiffy, Mark Iv

    Open Access•Henry F Kaiser, John Rice et al.•Educational and Psychological…•1974

  • Application of exponential smoothing method and Sarima model in predicting the number of admissions in a third-class hospital in Zhejiang Province

    Open Access•Wanjun Yang, Aonan Su et al.•BMC Public Health•2023

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Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae