Microplastics in the Mediterranean: Variability From Observations and Model Analysis

Abstract

In this study, the abundance and properties (size, shape, and polymer type) of microplastics (MPs) in sea surface water samples, collected during two sampling campaigns over 2018–2019, in four coastal areas of the Mediterranean Sea (Saronikos Gulf, LIgurian Sea, Gulf of Lion, and Gabes Gulf) were investigated. Coupled hydrodynamic/particle drift model simulations with basin-scale Mediterranean and high resolution nested models were used to provide a better understanding on the variability of the abundance/size of MPs, originating from wastewater and river runoff, in the four areas. Different size classes of MPs were considered in the model, taking into account biofouling induced sinking, as a possible mechanism of MPs removal from the surface. The Gabes Gulf showed the highest mean MPs abundance (0.073–0.310 items/m2), followed by Ligurian Sea (0.061–0.134 items/m2), Saronikos Gulf (0.047–0.080 items/m2), and Gulf of Lion (0.029–0.032 items/m2). Overall, the observed MPs abundance and size distribution was reasonably well reproduced by the model in the four different areas, except an overestimation of small size contribution in Saronikos Gulf. The basin-scale simulation revealed a strong decrease of smaller size MPs in offshore areas, due to biofouling induced sinking, with larger (floating) MPs being able to travel longer distances in the open sea. A significant impact of waves drift and advection of MPs from non-local sources was identified from model simulations, particularly in the Gulfs of Lion and Gabes, having a stronger effect on larger microplastics. In Gabes Gulf, most MPs originated from offshore areas, being mainly (floating) larger size classes, as suggested by the observed quite small contribution of <1 mm particles. The MPs observed abundance distribution in each area could be partly explained by the adopted sources distribution. The modeling tools proposed in this study provide useful insight to gain a better understanding on MPs dynamics in the marine environment and assess the current status of plastic pollution on basin and regional scale to further develop environmental management action for the mitigation of plastic pollution in the Mediterranean Sea.

Developing Realistic Models for Assessing Marine Plastic Pollution in Semi-Enclosed Seas

“…In the Baltic, key areas were modeled with resolutions up to 90 m (Figure 4) to simulate the transition of microplastics from inland waters to the open sea, while also accounting for retention in rivers/ lakes (Frishfelds et al, 2022). In the Mediterranean, high-resolution (~800 m) models were implemented in four coastal areas (Figure 1; Tsiaras et al, 2022). The fineresolution models produced better results than the basinscale models (Figure 5).…”

Implementation of a Far-Field Water Quality Model for the Simulation of Trace Elements in an Eastern Mediterranean Coastal Embayment Receiving High Anthropogenic Pressure

“…Similarly, relatively few articles implement or develop models related to pollution for the case study area. Microplastic fate has been modeled in the past [27,28], and recently, Makatounis et al [29] have modeled the oil spill of the Agia Zoni II tanker shipwreck, an accident that happened in 2017 and had a high environmental impact on the region. To the best of our knowledge, there are no published studies employing a model targeting chemical pollution.…”

Novel tools for port environmental management systems

“…Approximately 8.8 kg per capita per year of macroplastics and 0.18 kg per capita per year of microplastics are released into marine bodies as a result of different coastal activities. Different types of plastic particles are found in coastal areas, beaches, on the sea surface, and on the seafloor, contributing to nearly 30 thousand tons of plastic mass in the Mediterranean basin [Tsiaras et al 2023]. To overcome the limitations of traditional monitoring methods and obtain real-time information on water quality, there is a growing need for measurement and monitoring techniques that offer timely and accurate data on the spatial distribution of pollutants in port waters.…”