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Major sources and monthly variations in the release of land-derived marine debris from the Greater Jakarta area, Indonesia

Scientific Reports 2019 158 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Muhammad Reza Cordova, I. S. Nurhati

Summary

This study tracked monthly variations in marine debris discharged from the Greater Jakarta area in Indonesia, identifying land-based sources including rivers and coastal communities as major contributors. Peak discharge events correlated with rainfall patterns, highlighting the importance of monsoon-season waste management in reducing ocean plastic pollution.

Study Type Environmental

As marine debris becomes increasingly prevalent and induces cascading impacts on marine ecosystems, monitoring of land-derived debris is key for identifying effective mitigation strategies. Indonesia plays a pivotal role in reducing land-derived debris into the oceans considering its extensive coastline, large population and high waste production. We present the first marine debris monitoring data from Indonesia's capital, the Greater Jakarta area, by characterizing major sources and monthly variations of debris release at nine river outlets into Jakarta Bay between June 2015-June 2016. Our data show plastics as the most common debris entering Jakarta Bay representing 59% (abundance) or 37% (weight) of the total collected debris. Styrofoam was dominating among plastic debris, highlighting the urgency of reducing plastic and styrofoam uses. Higher debris releases during the rainy season (December-February) highlight the need to intensify river clean-up activities. We estimated an average daily debris release of 97,098 ± 28,932 items or 23 ± 7.10 tons into Jakarta Bay with considerably lower inputs from the capital compared to its neighboring municipalities. Within the plastics category, field monitoring data yield a daily plastic debris release of 8.32 ± 2.44 tons from the Greater Jakarta area, which is 8-16 times less than global-scale model estimates.

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