Aprilia Nidia Rinasti

Geographic information has improved widely in various fields, especially regarding environmental issues. In particular, plastic waste management has been a pressing problem involving strategic tools and solutions to accelerate the reduction in the open environment. By harshening the problems and dragging what can drive plastic waste to the environment, we developed the idea of spatial information development of real-time, current state, and scenarios of plastic waste information in the city. We define the state of our approach as plastic leakage modelling. Plastic leakage modelling consists of a combination of waste management systems and geographical coverage. The process is included in the open-source database and methodology by enabling open public information. Plastic leakage is emphasized in the sequential steps into three main working phases: waste management analysis, field survey, and mapping analysis. Under the mapping, we enhance the utilization of GIS to combine different studies, such as hydrological modelling, proximity analysis, topographical analysis, and geocoding data. We developed the analysis in a geospatial context based on the local to global scale data into the data generation based on the non-spatial information to enhance the detection of plastic waste. Leakage modelling produced dynamic heatmaps and static distribution in one year of plastic leakage. The hotspot leakage resulted, which defined the vulnerable areas of plastic waste exposure. Therefore, the detected and analyzed hotspot is prominent as the baseline information for the plastic waste regulation on the downstream solutions.