Document Type : Original Article
Authors
1 Assistant Professor Department of Civil Engineering, Faculty of Engineering, Iran University of Science and Technology, Tehran, Iran.
2 Master's student Department of Civil Engineering, Faculty of Engineering, Iran University of Science and Technology, Tehran, Iran.
Abstract
Developing regions, particularly in the northern provinces of Iran, which are under increasing pressure from population growth and rapid urbanization. Selecting an appropriate site for sanitary landfill plays a decisive role in preventing the pollution of water, soil, and air resources and in reducing ecological and economic impacts. Considering the ecological sensitivity of the Hyrcanian forests and the extremely humid climate of Gilan Province, identifying suitable areas for waste disposal requires a precise, data-driven approach supported by advanced analytical tools.This study aims to identify and evaluate suitable locations for landfill siting in Gilan Province using Geographic Information Systems (GIS) and the Boolean logic model. For this purpose, a set of environmental, human, hydrological, and infrastructural data—including road networks, population centers, surface and groundwater resources, protected areas, forests, slope and topography, geology, and land use—was collected, processed, and converted into standardized raster layers. Then, using Boolean logic and binary classification (suitable/unsuitable), the criteria layers were reclassified based on national landfill regulations and combined through an AND model to ensure that only areas meeting all requirements were selected as suitable zones. The results indicate that the northern and central parts of the province lack the capacity for landfill construction due to high population density, proximity to ecologically sensitive areas, and physiographic constraints. In contrast, the southern regions—particularly the areas surrounding Loshan—demonstrate the highest potential for landfill siting due to their favorable slope conditions, sufficient distance from population centers, and suitable accessibility.
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