Evaluation of Deep Sea Discharge Systems Efficiency in the Eastern Black Sea Using Artificial Neural Network: a Case Study for Trabzon, Turkey-Reference-Cited by-同舟云学术

Evaluation of Deep Sea Discharge Systems Efficiency in the Eastern Black Sea Using Artificial Neural Network: a Case Study for Trabzon, Turkey

Published:2022 Issue: Volume:65 Page:
ISSN:1678-4324
Container-title:Brazilian Archives of Biology and Technology
language:
Short-container-title:Braz. arch. biol. technol.

Author:

Er Bilge Aydın¹^ORCID,Odabas Mehmet Serhat¹^ORCID,Şenyer Nurettin²^ORCID,Ardali Yuksel¹^ORCID

Affiliation:

1. Ondokuz Mayis University, Turkey;

2. Samsun University, Turkey

Publisher

FapUNIFESP (SciELO)

Subject

Multidisciplinary

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S1516-89132022000100608&tlng=en

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3. Risk assessment in submarine outfall projects: The case of Portugal;Mendonça A;J. Environ. Manage,2013

4. Determination of deep sea discharge criteria project, Prepared by Republic of Turkey Ministry of Environment and Urbanization and Research Centre of Environment in Ondokuz Mayis University, Samsun, Turkey,2015

5. Trace metal composition of particulate matter of the Danube River and Turkish rivers draining into the Black Sea;Yiğiterhan O;Mar. Chem,2008

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