A Fuzzy Logic Model for Early Warning of Algal Blooms in a Tidal-Influenced River
A Fuzzy Logic Model for Early Warning of Algal Blooms in a Tidal-Influenced River
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Algal blooms are one of the most serious threats to water resources, and their early detection remains a challenge in eutrophication management worldwide. In recent years, with more widely available real-time auto-monitoring data and the advancement of computational capabilities, fuzzy logic has become a robust tool to establish early warning syste...
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A Fuzzy Logic Model for Early Warning of Algal Blooms in a Tidal-Influenced River
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TN_cdi_proquest_journals_2596058544
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2596058544
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ISSN
2073-4441
E-ISSN
2073-4441
DOI
10.3390/w13213118
