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Predicting Coastal Dissolved Inorganic Nitrogen Levels by Applying Data-Driven Modelling: The Case S...

Predicting Coastal Dissolved Inorganic Nitrogen Levels by Applying Data-Driven Modelling: The Case S...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9e2cfeb64a764a6aa8ddaf49cdc808af

Predicting Coastal Dissolved Inorganic Nitrogen Levels by Applying Data-Driven Modelling: The Case Study of Cyprus (Eastern Mediterranean Sea)

About this item

Full title

Predicting Coastal Dissolved Inorganic Nitrogen Levels by Applying Data-Driven Modelling: The Case Study of Cyprus (Eastern Mediterranean Sea)

Publisher

EDP Sciences

Journal title

E3S web of conferences, 2023-01, Vol.436, p.10002

Language

English

Formats

Publication information

Publisher

EDP Sciences

More information

Scope and Contents

Contents

A surfeit of Dissolved Inorganic Nitrogen (DIN), which is defined as the total amount of nitrite, nitrate, and ammonium levels in water, may cause negative effects to the marine environment. For example, elevated levels of DIN may promote surplus production of algae and possible depletion of oxygen in the water column. The DIN in the marine water c...

Alternative Titles

Full title

Predicting Coastal Dissolved Inorganic Nitrogen Levels by Applying Data-Driven Modelling: The Case Study of Cyprus (Eastern Mediterranean Sea)

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9e2cfeb64a764a6aa8ddaf49cdc808af

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9e2cfeb64a764a6aa8ddaf49cdc808af

Other Identifiers

ISSN

2267-1242

E-ISSN

2267-1242

DOI

10.1051/e3sconf/202343610002

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