PUBMEDIAPUBMEDIA

Journal of Geosciences and Environmental StudiesJournal of Geosciences and Environmental Studies

Plastic waste pollution increasingly threatens the ecological and hydrological functions of the Ciliwung River Basin, yet identifying its sources remains difficult due to interacting physical and socio-economic factors. This study aims to map potential plastic waste source areas to support upstream waste management interventions. A Geographic Information System (GIS) combined with Multi-Criteria Decision Analysis (MCDA) using a Weighted Linear Combination (WLC) approach was applied to integrate six variables: settlement typology, population density, market distribution, presence of waste facilities, distance to the river, and riverbank condition. Results show that 16.37% of the basin is classified as high-potential, 35.24% as medium, and 48.40% as low-potential. Scenario 1—emphasizing settlement typology and population density—most closely matched field observations, identifying densely populated informal settlements on disturbed riverbanks as the primary contributors to plastic waste leakage. These findings underscore the role of demographic pressure and riverbank settlement characteristics in shaping pollution risks and provide a basis for targeted interventions in high-risk areas.

The study successfully mapped areas with potential to become sources of plastic waste pollution in the Ciliwung River, highlighting the complex interplay of physical and socio-economic factors.Community behavior, particularly waste disposal practices in densely populated informal settlements along riverbanks, was identified as a key driver of plastic pollution.The research underscores the need for targeted interventions in high-risk areas and emphasizes the importance of considering both land characteristics and demographic factors in waste management strategies.

Further research should investigate the temporal dynamics of plastic waste accumulation, particularly during flood events, to understand seasonal variations and improve predictive modeling. Integrating hydrological modeling with GIS analysis would enable tracing the downstream movement of plastic debris and identifying hotspots of accumulation within the river system. Additionally, incorporating participatory mapping, citizen science, or crowdsourced data could provide richer insights into localized dumping practices and behavioral drivers of waste disposal. Expanding the framework to include analysis of plastic waste composition would help establish clearer links between land-based sources, waste management infrastructure, and in-river pollution levels. Finally, a network analysis could be integrated to account for accessibility to the river channel, as dumping behavior is influenced by this factor, and minor river tributaries should be investigated as potential pollution entry points.

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  3. Flood Prediction due to Land Cover Change in the Ciliwung River Basin. flood prediction land change ciliwung... doi.org/10.14716/ijtech.v13i2.4662Flood Prediction due to Land Cover Change in the Ciliwung River Basin flood prediction land change ciliwung doi 10 14716 ijtech v13i2 4662
  4. A Systematic Review of the Latest Research Trends on the Use of Satellite Imagery in Solid Waste Disposal... mdpi.com/2076-3298/10/7/128A Systematic Review of the Latest Research Trends on the Use of Satellite Imagery in Solid Waste Disposal mdpi 2076 3298 10 7 128
  5. Estimasi Laju Timbulan Sampah dan Kebutuhan Landfill Periode 2018-2027 (Studi Kasus Kec. Mentawa Baru... doi.org/10.33084/mitl.v2i2.124Estimasi Laju Timbulan Sampah dan Kebutuhan Landfill Periode 2018 2027 Studi Kasus Kec Mentawa Baru doi 10 33084 mitl v2i2 124
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