GIS and Remote Sensing-Based Approach for Monitoring and Assessment of Plastic Leakage and Pollution Reduction in the Lower Mekong River Basin

Abstract

Determination of plastic leakage sources and pathways is essential in plastic pollution mitigation. Finding ways to stem land-sourced plastic waste leakage requires understanding its sources. Spatial analysis conducted in a geographic information system (GIS) environment and remote sensing investigation uncovered insights into the distribution of plastic leakage in the lower Mekong River basin (LMRB). The main objectives of this approach were: (i) to map plastic leakage density using multi-source geospatial data; and (ii) to identify plastic leakage source hotspots and their accumulation pathways by incorporating hydrological information. Mapping results have shown that plastic leakage density was highly concentrated in urban areas with a high intensity of human activities. In contrast, the major pathways for plastic leakage source hotspots were the high morphometric areas directly influenced by facilities, infrastructure, and population. The overall efforts in this study demonstrate the effectiveness of the proposed novel method used for predicting plastic leakage density and its sources from land-based activities. It is also accomplished using multi-geospatial data with GIS-based analysis to produce a graphical model for plastic leakage waste density in each region that non-technical personnel can easily visualize. The proposed method can be applied to other areas beyond the LMRB to improve the baseline information on plastic waste leakage into the river.

Geo-spatial mapping of plastic waste recycling plants in Kano Metropolis, Kano State, Nigeria

“…Geo-spatial technologies for plastic waste issues, such as GIS and remote sensing have been used to monitor the life cycle of plastic materials (Tran-Thanh et al, 2021). Previous geospatial-based approaches have used global coverage at country levels (Lebreton et al, 2017;Meijer et al, 2021;Gunasekara et al, 2022) and city levels (Sakti et al, 2021;Gunasekara et al, 2022) to understand the potential of plastic waste discharge. The locations of recycling plants can be determined using GIS and the availability of a geo-referenced database underscores the usefulness of the technology (Asefa et al, 2022).…”

Preliminary Study to Estimate The Potential Input of Solid Waste to The Area of Fishing Port, Case Study: Karangantu Fishing Port

“…Determination of solid waste leakage sources and pathways and also its amount in Karangantu fishing port is essential in managing mitigation pollution in fishing port and its areas. Spatial analysis approach conducted in a geographic information system (GIS) environment and remote sensing investigation uncovered insights into the distribution and amount of solid waste leakage in Karangantu fishing port [8]. Remote sensing is a science and the art of obtaining information about objects, areas or phenomena that occur by road analyze the data obtained by using tools without direct contact with object, area or phenomenon under study.…”