Author(s): Nguyen Thi Lan Anh

Abstract: Rapid urbanization and increasing solid waste generation have intensified the pressure on existing landfill sites, leading to escalating geo-environmental risks such as groundwater contamination, surface runoff pollution, and degradation of surrounding ecosystems. This study presents an integrated assessment framework for evaluating landfill-associated risks by combining Geographic Information System (GIS) and Remote Sensing (RS) technologies. Using multispectral satellite data (Landsat 8 and Sentinel-2) along with topographic, hydrogeological, and land-use parameters, a composite Geo-Environmental Risk Index (GERI) was developed through a multi-criteria analytical hierarchy process. Parameters including slope, soil permeability, groundwater depth, distance to water bodies, land surface temperature (LST), and vegetation indices (NDVI, NDBI) were spatially analyzed to quantify relative environmental vulnerability across twelve landfill sites. The results revealed that 17% of the sites were classified as high-risk, primarily due to their proximity to surface water and shallow groundwater tables, while 50% were categorized as moderate-risk. Strong correlations were observed between elevated LST and reduced NDVI, indicating thermal and vegetation stress near active or unmanaged waste cells. Validation with field observations demonstrated a 75% overall accuracy, confirming the reliability of the GIS-RS integration for spatial risk modeling. The sensitivity analysis further verified the robustness of the weighting structure, suggesting stable classification under moderate parameter variation. The findings highlight the efficacy of combining remote sensing indicators with GIS-based decision-support tools to identify vulnerable landfill zones and guide sustainable waste management. Practical recommendations include regular satellite monitoring, establishment of hydro-environmental buffers, geospatial audits for regulatory compliance, and eco-restoration of stabilized sites. The study emphasizes that adopting geospatial intelligence in landfill management can significantly reduce long-term environmental hazards while promoting sustainable urban planning and public health protection.

Pages: 49-54 | Views: 4 | Downloads: 3

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