Multi-Scenario Model of Plastic Waste Accumulation Potential in Indonesia Using Integrated Remote Sensing, Statistic and Socio-Demographic Data
As a significant contributor of plastic waste to the marine environment, Indonesia is striving to construct a national strategy for reducing plastic debris. Hence, the primary aim of this study is to create a model for plastic waste quantity originating from the mainland, accumulated in estuaries. T...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/7/481 |
| _version_ | 1797527021303103488 |
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| author | Anjar Dimara Sakti Aprilia Nidia Rinasti Elprida Agustina Hanif Diastomo Fickrie Muhammad Zuzy Anna Ketut Wikantika |
| author_facet | Anjar Dimara Sakti Aprilia Nidia Rinasti Elprida Agustina Hanif Diastomo Fickrie Muhammad Zuzy Anna Ketut Wikantika |
| author_sort | Anjar Dimara Sakti |
| collection | DOAJ |
| description | As a significant contributor of plastic waste to the marine environment, Indonesia is striving to construct a national strategy for reducing plastic debris. Hence, the primary aim of this study is to create a model for plastic waste quantity originating from the mainland, accumulated in estuaries. This was achieved by compiling baseline data of marine plastic disposal from the mainland via comprehensive contextualisation of data generated by remote sensing technology and spatial analysis. The parameters used in this study cover plastic waste generation, land cover, population distribution, and human activity identification. These parameters were then used to generate the plastic waste disposal index; that is, the distribution of waste from the mainland, flowing through the river, and ultimately accumulating in the estuary. The plastic waste distribution is calculated based on the weighting method and overlap analysis between land and coastal areas. The results indicate that 0.6% of Indonesia, including metropolitan cities, account for the highest generation of plastic waste. Indicating of plastic releases to the ocean applied by of developing three different scenarios with the highest estimation 11.94 tonnes on a daily basis in an urban area, intended as the baseline study for setting priority zone for plastic waste management. |
| first_indexed | 2024-03-10T09:38:02Z |
| format | Article |
| id | doaj.art-31fa474cc23c4181b220132d0a89125c |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T09:38:02Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-31fa474cc23c4181b220132d0a89125c2023-11-22T03:55:11ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-07-0110748110.3390/ijgi10070481Multi-Scenario Model of Plastic Waste Accumulation Potential in Indonesia Using Integrated Remote Sensing, Statistic and Socio-Demographic DataAnjar Dimara Sakti0Aprilia Nidia Rinasti1Elprida Agustina2Hanif Diastomo3Fickrie Muhammad4Zuzy Anna5Ketut Wikantika6Center for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, IndonesiaCenter for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, IndonesiaAir and Waste Management Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Bandung 40132, IndonesiaOceanography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaFaculty of Fisheries and Marine Science, Universitas Padjadjaran, Bandung 40132, IndonesiaCenter for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, IndonesiaAs a significant contributor of plastic waste to the marine environment, Indonesia is striving to construct a national strategy for reducing plastic debris. Hence, the primary aim of this study is to create a model for plastic waste quantity originating from the mainland, accumulated in estuaries. This was achieved by compiling baseline data of marine plastic disposal from the mainland via comprehensive contextualisation of data generated by remote sensing technology and spatial analysis. The parameters used in this study cover plastic waste generation, land cover, population distribution, and human activity identification. These parameters were then used to generate the plastic waste disposal index; that is, the distribution of waste from the mainland, flowing through the river, and ultimately accumulating in the estuary. The plastic waste distribution is calculated based on the weighting method and overlap analysis between land and coastal areas. The results indicate that 0.6% of Indonesia, including metropolitan cities, account for the highest generation of plastic waste. Indicating of plastic releases to the ocean applied by of developing three different scenarios with the highest estimation 11.94 tonnes on a daily basis in an urban area, intended as the baseline study for setting priority zone for plastic waste management.https://www.mdpi.com/2220-9964/10/7/481plastic accumulation in estuaryIndonesiageospatial analysisremote sensingmarine plastic waste |
| spellingShingle | Anjar Dimara Sakti Aprilia Nidia Rinasti Elprida Agustina Hanif Diastomo Fickrie Muhammad Zuzy Anna Ketut Wikantika Multi-Scenario Model of Plastic Waste Accumulation Potential in Indonesia Using Integrated Remote Sensing, Statistic and Socio-Demographic Data ISPRS International Journal of Geo-Information plastic accumulation in estuary Indonesia geospatial analysis remote sensing marine plastic waste |
| title | Multi-Scenario Model of Plastic Waste Accumulation Potential in Indonesia Using Integrated Remote Sensing, Statistic and Socio-Demographic Data |
| title_full | Multi-Scenario Model of Plastic Waste Accumulation Potential in Indonesia Using Integrated Remote Sensing, Statistic and Socio-Demographic Data |
| title_fullStr | Multi-Scenario Model of Plastic Waste Accumulation Potential in Indonesia Using Integrated Remote Sensing, Statistic and Socio-Demographic Data |
| title_full_unstemmed | Multi-Scenario Model of Plastic Waste Accumulation Potential in Indonesia Using Integrated Remote Sensing, Statistic and Socio-Demographic Data |
| title_short | Multi-Scenario Model of Plastic Waste Accumulation Potential in Indonesia Using Integrated Remote Sensing, Statistic and Socio-Demographic Data |
| title_sort | multi scenario model of plastic waste accumulation potential in indonesia using integrated remote sensing statistic and socio demographic data |
| topic | plastic accumulation in estuary Indonesia geospatial analysis remote sensing marine plastic waste |
| url | https://www.mdpi.com/2220-9964/10/7/481 |
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