Management of Dredging Activities in a Highly Vulnerable Site: Simulation Modelling and Monitoring Activity

Unfortunately, more and more contaminants, such as heavy metals and other organic micro-pollutants, degrade the good ecological status of marine systems. The removal of contaminated sediments from harbours through dredging activities may cause harmful changes in the environment. This present work sh...

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Bibliographic Details
Published in:Journal of marine science and engineering 2020-12, Vol.8 (12), p.1020
Main Authors: De Padova, Diana, Ben Meftah, Mouldi, De Serio, Francesca, Mossa, Michele
Format: Article
Language:English
Subjects:
3D numerical modelling
Bottom trawling
Climate change
Coastal zone
Contaminants
Contaminated sediments
Dredging
dredging management
Environmental changes
Environmental economics
Environmental effects
Environmental impact
Environmental monitoring
field measurements
Harbors
Harbours
Heavy metals
Hydraulics
Marine ecology
Marine pollution
Marine systems
Mathematical models
Metals
Numerical models
Pollutant removal
Pollutants
Precipitation
Production capacity
sea currents
Sediment pollution
Sediments
semi-enclosed basin
Simulation
Solid suspensions
Statistical analysis
Statistical methods
Suspended particulate matter
Suspended solids
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Summary:Unfortunately, more and more contaminants, such as heavy metals and other organic micro-pollutants, degrade the good ecological status of marine systems. The removal of contaminated sediments from harbours through dredging activities may cause harmful changes in the environment. This present work shows how monitoring the activity and validated numerical models can be of great help to dredging activities that can cause environmental impacts due to the increase of the suspended solid concentration (SSC) and their dispersion and deposition far from the dredging point. This study is applied to a hypothetical dredging project in a very vulnerable coastal site in Southern Italy, the Mar Piccolo Basin. A statistical analysis of the simulated parameter SSC was carried out to numerically estimate its spatial (vertical and horizontal) variability, thereby allowing an evaluation of the potential environmental effects on the coastal area.
ISSN:2077-1312
2077-1312
DOI:10.3390/jmse8121020