Mapping the sources and strands of marine debris via particle modelling and In-situ sampling approaches in archipelagic countries

Abstract Marine debris (MD) is a global issue that remains unresolved in Indonesia where the accumulation of this kind of pollution poses a significant threat to the marine ecosystem and health of the ocean. Understanding the sources and locations of stranded debris is crucial in identifying the req...

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Main Authors: Noir P. Purba, Ibnu Faizal, David Christie, Munawir B. Pratama, Darryl A. Valino, Marine K. Martasuganda, Titin Herawati, Ajeng Wulandari, Sanny T. Utami, Noor C.D. Aryanto, Muhammad H. Ilmi, Raffy R. Alfarez, Buntora Pasaribu
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-73373-0
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author Noir P. Purba
Ibnu Faizal
David Christie
Munawir B. Pratama
Darryl A. Valino
Marine K. Martasuganda
Titin Herawati
Ajeng Wulandari
Sanny T. Utami
Noor C.D. Aryanto
Muhammad H. Ilmi
Raffy R. Alfarez
Buntora Pasaribu
author_facet Noir P. Purba
Ibnu Faizal
David Christie
Munawir B. Pratama
Darryl A. Valino
Marine K. Martasuganda
Titin Herawati
Ajeng Wulandari
Sanny T. Utami
Noor C.D. Aryanto
Muhammad H. Ilmi
Raffy R. Alfarez
Buntora Pasaribu
author_sort Noir P. Purba
collection DOAJ
description Abstract Marine debris (MD) is a global issue that remains unresolved in Indonesia where the accumulation of this kind of pollution poses a significant threat to the marine ecosystem and health of the ocean. Understanding the sources and locations of stranded debris is crucial in identifying the required regulations and mitigation strategies. This study used the hypothetical sources to identify the stranded debris along the coastline of Selayar Island and its surrounding seas. Using a combination of simulation and in-situ sampling methods, the simulation considered 13 hypothetical sources based on external factors such as river locations and surface ocean currents. This simulation result was then validated the simulation against beach litter observations and interview results with people. The results successfully mapped the sources and stranded MD in Selayar Island, indicating that the majority of MD originates from the island itself and the surrounding areas, influenced by oceanographic factors. The most frequently encountered locations of stranded MD are in the western coastal region including tourism areas and coastal ecosystem. Due to the oceanographic conditions, the stranded debris has varied quantities over the months, and higher in December represent the northwest monsoon (NWM) season, exceeding levels observed during the southeast monsoon (SEM). The study also identified that the main sources of debris are from Selayar Island and rivers from surrounding islands. This study also confirmed that oceanographic conditions such as surface ocean currents and wind pattern influenced the spreading of MD in Selayar Island. Due to the different ocean characteristics in different regions, a more detailed understanding and stranded of marine debris source which might provide more information for the explanation of the mechanism of marine debris pathways in Archipelagic Countries.
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spelling doaj-art-b3ce0917894942e9abf54329a2e4be132025-08-20T02:18:24ZengNature PortfolioScientific Reports2045-23222024-10-0114111410.1038/s41598-024-73373-0Mapping the sources and strands of marine debris via particle modelling and In-situ sampling approaches in archipelagic countriesNoir P. Purba0Ibnu Faizal1David Christie2Munawir B. Pratama3Darryl A. Valino4Marine K. Martasuganda5Titin Herawati6Ajeng Wulandari7Sanny T. Utami8Noor C.D. Aryanto9Muhammad H. Ilmi10Raffy R. Alfarez11Buntora Pasaribu12Marine Science Department, Faculty of Fishery and Marine Science, Universitas PadjadjaranMarine Science Department, Faculty of Fishery and Marine Science, Universitas PadjadjaranDepartment of Physics and Astronomy, University of ManchesterSchool of Engineering, University of EdinburghEarth Observatory of Singapore, Nanyang Technological UniversityKOMITMEN Research Group, Universitas PadjadjaranMarine Conservation Programme, Faculty of Fishery and Marine Science, Universitas PadjadjaranMarine Conservation Programme, Faculty of Fishery and Marine Science, Universitas PadjadjaranMarine Science Department, Faculty of Fishery and Marine Science, Universitas PadjadjaranResearch Centre for Geological Resources, National Research and Innovation Agency (BRIN)KOMITMEN Research Group, Universitas PadjadjaranKOMITMEN Research Group, Universitas PadjadjaranMarine Science Department, Faculty of Fishery and Marine Science, Universitas PadjadjaranAbstract Marine debris (MD) is a global issue that remains unresolved in Indonesia where the accumulation of this kind of pollution poses a significant threat to the marine ecosystem and health of the ocean. Understanding the sources and locations of stranded debris is crucial in identifying the required regulations and mitigation strategies. This study used the hypothetical sources to identify the stranded debris along the coastline of Selayar Island and its surrounding seas. Using a combination of simulation and in-situ sampling methods, the simulation considered 13 hypothetical sources based on external factors such as river locations and surface ocean currents. This simulation result was then validated the simulation against beach litter observations and interview results with people. The results successfully mapped the sources and stranded MD in Selayar Island, indicating that the majority of MD originates from the island itself and the surrounding areas, influenced by oceanographic factors. The most frequently encountered locations of stranded MD are in the western coastal region including tourism areas and coastal ecosystem. Due to the oceanographic conditions, the stranded debris has varied quantities over the months, and higher in December represent the northwest monsoon (NWM) season, exceeding levels observed during the southeast monsoon (SEM). The study also identified that the main sources of debris are from Selayar Island and rivers from surrounding islands. This study also confirmed that oceanographic conditions such as surface ocean currents and wind pattern influenced the spreading of MD in Selayar Island. Due to the different ocean characteristics in different regions, a more detailed understanding and stranded of marine debris source which might provide more information for the explanation of the mechanism of marine debris pathways in Archipelagic Countries.https://doi.org/10.1038/s41598-024-73373-0Marine litterOcean currentsMakassar StraitBeach clean-upFloating debrisOcean health
spellingShingle Noir P. Purba
Ibnu Faizal
David Christie
Munawir B. Pratama
Darryl A. Valino
Marine K. Martasuganda
Titin Herawati
Ajeng Wulandari
Sanny T. Utami
Noor C.D. Aryanto
Muhammad H. Ilmi
Raffy R. Alfarez
Buntora Pasaribu
Mapping the sources and strands of marine debris via particle modelling and In-situ sampling approaches in archipelagic countries
Scientific Reports
Marine litter
Ocean currents
Makassar Strait
Beach clean-up
Floating debris
Ocean health
title Mapping the sources and strands of marine debris via particle modelling and In-situ sampling approaches in archipelagic countries
title_full Mapping the sources and strands of marine debris via particle modelling and In-situ sampling approaches in archipelagic countries
title_fullStr Mapping the sources and strands of marine debris via particle modelling and In-situ sampling approaches in archipelagic countries
title_full_unstemmed Mapping the sources and strands of marine debris via particle modelling and In-situ sampling approaches in archipelagic countries
title_short Mapping the sources and strands of marine debris via particle modelling and In-situ sampling approaches in archipelagic countries
title_sort mapping the sources and strands of marine debris via particle modelling and in situ sampling approaches in archipelagic countries
topic Marine litter
Ocean currents
Makassar Strait
Beach clean-up
Floating debris
Ocean health
url https://doi.org/10.1038/s41598-024-73373-0
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