Hydrographic and dynamical characterisation of the Bagnoli-Coroglio Bay (Gulf of Naples, Tyrrhenian Sea)-Reference-Cited by-同舟云学术

Hydrographic and dynamical characterisation of the Bagnoli-Coroglio Bay (Gulf of Naples, Tyrrhenian Sea)

Published:2020-07-02 Issue:6 Volume:36 Page:598-618
ISSN:0275-7540
Container-title:Chemistry and Ecology
language:en
Short-container-title:Chemistry and Ecology

Author:

Castagno Pasquale¹^ORCID,de Ruggiero Paola¹^ORCID,Pierini Stefano¹²^ORCID,Zambianchi Enrico¹²³^ORCID,De Alteris Arturo¹,De Stefano Massimo¹,Budillon Giorgio¹²^ORCID

Affiliation:

1. Dipartimento di Scienze e Tecnologie, Università degli Studi di Napoli Parthenope, Napoli, Italy

2. CoNISMa, Roma, Italy

3. ISMAR – CNR, Roma, Italy

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://www.tandfonline.com/doi/pdf/10.1080/02757540.2020.1772244

Reference48 articles.

1. A high-resolution modelling study of the circulation along the Campania coastal system, with a special focus on the Gulf of Naples

2. Seabed Morphology and Pollution Along the Bagnoli Coast (Naples, Italy): a Hypothesis for Environmental Restoration

3. Assessing the effects of habitat patches ensuring propagule supply and different costs inclusion in marine spatial planning through multivariate analyses

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of environmental parameters effect on potentially toxic elements mobility in foreshore sediments to support marine-coastal contamination prediction;Marine Pollution Bulletin;2023-09

2. Numerical investigation of the three-dimensional paths of plastic polymers in the Gulf of Naples;Marine Pollution Bulletin;2023-08

3. HF Radar Wind Direction: Multiannual Analysis Using Model and HF Network;Remote Sensing;2023-06-08

4. 40 years of Chemistry and Ecology;Chemistry and Ecology;2022-09-19

5. Arsenic contamination at the Bagnoli Bay seabed (South Italy) via particle tracking numerical modeling: Pollution patterns from stationary climatic forcings;Chemosphere;2022-09