Pattern Recognition for Spatial Distribution of Heavy Metals and Hydrocarbons in a Polluted Marine Basin-Reference-Cited by-同舟云学术

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Pattern Recognition for Spatial Distribution of Heavy Metals and Hydrocarbons in a Polluted Marine Basin

Published:2023-10-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)
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Author:

Mali Matilda¹,Buonocunto Francesco²,Milla Alfonsa³,Di Leo Antonella⁴,Ragone Rosa¹,Spada Lucia⁴,Giandomenico Santina⁴

Affiliation:

1. DICATECh – Politecnico di Bari Via Amendola 126/B,Bari,Italy

2. Institute of Marine Sciences,CNR,Taranto,Italy

3. Institute of Marine Sciences,CNR,Napoli,Italy

4. Water Research Institute (IRSA),CNR,Taranto,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317072/10317097/10317118.pdf?arnumber=10317118

Reference18 articles.

1. Methodology to assess the mobility of trace elements between water and contaminated estuarine sediments as a function of the site physico-chemical characteristics

2. Combining chemometric tools for assessing hazard sources and factors acting simultaneously in contaminated areas. Case study: “Mar Piccolo” Taranto (South Italy)

3. Origin of Polycyclic Aromatic Hydrocarbons (PAHs) in Coastal Marine Sediments: Case Studies in Cotonou (Benin) and Aquitaine (France) Areas

4. Multi-and Megavariate Data Analysis. Basic Principles and Application;ericsson;Tird Revised Edition Ed MKS Umetrics AB,2013

5. Surface water quality assessment by the use of combination of multivariate statistical classification and expert information

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