This article explores the environmental challenges posed by landfills and the role of Geographic Information System (GIS) technologies in addressing these issues. As waste volumes increase due to urbanization and industrialization, the overcrowding and mismanagement of landfills become significant environmental threats. GIS offers a robust solution for efficient landfill management by facilitating precise monitoring and analysis of landfill locations, surrounding risk zones, and waste characteristics. The study presents the various types of landfills, their environmental risks, and how GIS can optimize waste tracking, hazard zone identification, and future planning. Through a case study in Uzbekistan, the article highlights the application of GIS in monitoring landfills, with examples from regions like Tashkent and Karakalpakstan. International experiences from countries like the USA, Germany, and Japan illustrate the global utility of GIS in waste management. Despite challenges such as the shortage of GIS professionals and limited technical resources, the integration of GIS with remote sensing, drones, and artificial intelligence presents a promising avenue for sustainable landfill management. The findings suggest that GIS technology can significantly improve waste sorting, minimize environmental risks, and support long-term waste management strategies. The study concludes with recommendations for expanding GIS-based systems in Uzbekistan, including enhancing regulatory frameworks, training professionals, and establishing dedicated GIS centers.
| Mualliflar | Artikov, Gulom Abdurakhmonovich Artikov, Nomozov, Adkham Almamat oglu Nomozov |
|---|---|
| Jurnal | Innovative Multidisciplinary Journal of Applied Technology |
| Nashr sanasi | 2025-10-10 |
| Jild | 3 |
| Son | 10 |
| Betlar | 28-33 |
| Til | Ingliz |
| DOI | 10.51699/91ypt156 |
DOI: 10.51699/91ypt156 · Maqolaning asl sahifasi
Landfill, GIS technology, environmental risk, remote sensing (RS), digital monitoring, drones, mapping, forecasting, AI (artificial intelligence), modeling
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