Please use this identifier to cite or link to this item:
Authors: Merlino, Silvia* 
Locritani, Marina* 
Guarnieri, Antonio* 
Delrosso, Damiano* 
Bianucci, Marco* 
Paterni, Marco* 
Title: Marine Litter Tracking System: A Case Study with Open-Source Technology and a Citizen Science-Based Approach
Journal: Sensors 
Series/Report no.: 2/23 (2023)
Publisher: MDPI
Issue Date: 13-Jan-2023
DOI: 10.3390/s23020935
Keywords: IoT technology
citizen science
marine litter
smart tracking devices
Lagrangian dispersal models
Subject Classification03.02. Hydrology 
Abstract: first_pagesettingsOrder Article Reprints Open AccessArticle Marine Litter Tracking System: A Case Study with Open-Source Technology and a Citizen Science-Based Approach by Silvia Merlino 1,*ORCID,Marina Locritani 2ORCID,Antonio Guarnieri 3ORCID,Damiano Delrosso 3,Marco Bianucci 1ORCID andMarco Paterni 4 1 CNR-ISMAR (Istituto di Scienze Marine-Sede di La Spezia), 19032 La Spezia, Italy 2 Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Roma 2, 00143 Roma, Italy 3 Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna, 40127 Bologna, Italy 4 CNR-IFC (Istituto di Fisiologia Clinica-Pisa), 56124 Pisa, Italy * Author to whom correspondence should be addressed. Sensors 2023, 23(2), 935; Received: 28 November 2022 / Revised: 9 January 2023 / Accepted: 10 January 2023 / Published: 13 January 2023 (This article belongs to the Special Issue Enabling Citizen Science in Communal Smart Environments with IoT Technology) Download Browse Figures Review Reports Versions Notes Abstract It is well established that most of the plastic pollution found in the oceans is transported via rivers. Unfortunately, the main processes contributing to plastic and debris displacement through riparian systems is still poorly understood. The Marine Litter Drifter project from the Arno River aims at using modern consumer software and hardware technologies to track the movements of real anthropogenic marine debris (AMD) from rivers. The innovative “Marine Litter Trackers” (MLT) were utilized as they are reliable, robust, self-powered and they present almost no maintenance costs. Furthermore, they can be built not only by those trained in the field but also by those with no specific expertise, including high school students, simply by following the instructions. Five dispersion experiments were successfully conducted from April 2021 to December 2021, using different types of trackers in different seasons and weather conditions. The maximum distance tracked was 2845 km for a period of 94 days. The activity at sea was integrated by use of Lagrangian numerical models that also assisted in planning the deployments and the recovery of drifters. The observed tracking data in turn were used for calibration and validation, recursively improving their quality. The dynamics of marine litter (ML) dispersion in the Tyrrhenian Sea is also discussed, along with the potential for open-source approaches including the “citizen science” perspective for both improving big data collection and educating/awareness-raising on AMD issues.
Appears in Collections:Article published / in press

Show full item record

Page view(s)

checked on Feb 2, 2023


checked on Feb 2, 2023

Google ScholarTM