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Developing Scenario of Plastic Waste Leakage in the Jakarta Hydrology Environment Using Seasonal Data Conditions and Socioeconomic Aspects

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Applied Geography and Geoinformatics for Sustainable Development

Part of the book series: Springer Geography ((SPRINGERGEOGR))

Abstract

Jakarta is facing the problem of plastics in the river pathways. With the higher settlement area close to the riverbanks, Jakarta should control its high potency of plastic waste leakage into the river, where 37.76% of the waste generated comes from the residential area as the primary contributor. To comply with the control mechanism, an early warning system of plastic waste outflow should be implemented. This study aims to identify plastic leakage hotspots using spatial analysis of the river before it flows to the ocean. It was conducted into three phases: source leakage identification, hydrological characterization of streamflow, and scenario analysis. In the latter the overall stages were analyzed using geographic information systems (GIS) for plastic waste distribution and location-based topographical feature analysis. Morphometric analysis is used to define the runoff from the subbasin level as the transport of leakage. Data used, including the Greater Jakarta area’s waste management summary in 2020, was transformed comprehensively into the spatial distribution for detection of hotspots. Some of the spatial features include the Digital Elevation Model, population density, LULC and rainfall rate to enable the dispersal of plastic waste leakage. Through morphometric analysis, 19% of watershed resulted from the higher runoff, emphasizing the greater leakage amount into the waterbodies. Leakage hotspots contribute 7.64% of the total unmanaged plastic waste flowing into Jakarta Bay annually. By improving the seasonal scenario, the highest leakage was estimated to be 2.8 kton in February and higher in January as a result of Jakarta special social events. The result of the estimation could be used for better land utilization in the Jakarta area to minimize the plastic waste problem.

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Author information

Authors and Affiliations

  1. Marine Plastics Abatement Program Department of Energy, Environment, and Climate Change, Asian Institute of Technology, Khlong Luang, Pathum Thani, Thailand

    Aprilia Nidia Rinasti, Ekbordin Winijkul & Thammarat Koottatep

  2. Geoinformatics Center, Asian Institute of Technology, Khlong Luang, Pathum Thani, Thailand

    Aprilia Nidia Rinasti & Kavinda Gunasekara

  3. Environmental Engineering and Management Program Department of Energy, Environment, and Climate Change, Asian Institute of Technology, Khlong Luang, Pathum Thani, Thailand

    Ekbordin Winijkul & Thammarat Koottatep

  4. Remote Sensing and Geographic Information Systems ProgramDepartment of Information and Communication Technologies, Asian Institute of Technology, Khlong Luang, Pathum Thani, Thailand

    Sarawut Ninsawat

Authors
  1. Aprilia Nidia Rinasti
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  2. Kavinda Gunasekara
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  3. Ekbordin Winijkul
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  4. Sarawut Ninsawat
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  5. Thammarat Koottatep
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Corresponding author

Correspondence to Aprilia Nidia Rinasti .

Editor information

Editors and Affiliations

  1. Department of Geography Faculty of Social Science, Srinakharinwirot University, Bangkok, Thailand

    Wuttichai Boonpook

  2. International Center for Climate and Environment Science (ICCES) Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

    Zhaohui Lin

  3. Department of Geography Faculty of Social Science, Srinakharinwirot University, Bangkok, Thailand

    Pakorn Meksangsouy

  4. Department of Geography Faculty of Social Science, Srinakharinwirot University, Bangkok, Thailand

    Parichat Wetchayont

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Rinasti, A.N., Gunasekara, K., Winijkul, E., Ninsawat, S., Koottatep, T. (2023). Developing Scenario of Plastic Waste Leakage in the Jakarta Hydrology Environment Using Seasonal Data Conditions and Socioeconomic Aspects. In: Boonpook, W., Lin, Z., Meksangsouy, P., Wetchayont, P. (eds) Applied Geography and Geoinformatics for Sustainable Development. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-031-16217-6_5

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