We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Analysis of Potential Areas of Plastic Waste Pollution Sources into the Ciliwung River Based on GIS and Multi-Criteria Decision Analysis (MCDA)
AI summary Read the abstract
Researchers used GIS and Multi-Criteria Decision Analysis to map plastic waste pollution risk across the Ciliwung River Basin in Indonesia, finding that 16% of the basin is high-risk, with densely populated informal settlements on disturbed riverbanks identified as the primary contributors to plastic leakage into the river.
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.
More Papers Like This
Dispersal of Plastic Waste in Khlong U-tapao Subbasin Towards the Lower Songkhla Lake, Southern Thailand: a Gis-ahp Approach
AI summary Read the abstract
A GIS and Analytic Hierarchy Process analysis of the Khlong U-Tapao watershed in Thailand identified urban centers as the primary source of plastic waste entering the Songkhla Lake system, with monsoon rainfall and flooding significantly increasing leakage rates. The spatial modeling approach provides precise data to guide future sustainable marine debris management strategies.
Spatial Dynamics of Microplastic Pollution in Water and Sediments of the Ciliwung River along with Conditions of Water Quality Field Parameters and Population Density
AI summary Read the abstract
This study mapped the spatial distribution of microplastics in water and sediment across Indonesia's heavily populated Ciliwung River, finding significant contamination linked to population density and land use. The dominant types were fragments and fibers from textiles and synthetic materials, with concentrations varying along the river's length. The results underscore the threat that densely settled riverine systems pose as conduits of microplastic pollution into coastal and marine environments.
Multicriteria Decision Analysis Addressing Marine and Terrestrial Plastic Waste Management: A Review
AI summary Read the abstract
This systematic review analyzed 20 studies using multicriteria decision analysis (MCDA) to evaluate plastic waste management strategies across three continents, finding that AHP was the most popular method and that multi-strategy combinations consistently outperformed single-approach solutions.
Identifying the distribution and source of riverine plastic waste contamination: case study of Brantas River in Malang city
AI summary Read the abstract
Researchers investigated microplastic concentrations and macroinvertebrate communities at three stations along the Brantas River in Malang City, Indonesia, integrating microplastic counts, SIGNAL-2 bioassessment scores, and household waste management surveys. The highest microplastic burden and lowest macroinvertebrate diversity occurred at the station where 80% of residents disposed of plastic waste directly into the river.
Mapping Mismanaged Plastic Waste in Indonesia: Subdistrict-level Analysis through Material Flow from Sources to the Environment
AI summary Read the abstract
Researchers conducted sub-district-level material flow analysis across Indonesia to map where plastic waste is mismanaged most severely, moving beyond national aggregates to pinpoint local hotspots where leakage into the environment is highest and targeted intervention would have the greatest impact.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.