Estudio Especial: Levantamiento de una Línea de Base de Áreas Afectadas por Actividades Mineras en Estado de Abandono – AMEA

The initiative was prioritized by the Colombian government and USAID, with the goal of identifying and characterizing AMEA in various municipalities. The study was conducted by Management Systems International, a Tetra Tech company, in collaboration with the Universidad Nacional de Colombia, Sede Medellín. The study aimed to identify and characterize AMEA in five municipalities: Amagá, Angelópolis, Titiribí, Venecia, and Andes. The methodology involved indirect and direct identification of AMEA, followed by a diagnosis of the areas, evaluation of the level of risk, and prioritization of the AMEA. The study also included an assessment of the economic, cultural, sociopolitical, and geological aspects of each municipality. In Amagá, the study found that the municipality has a strong mining tradition, with a significant number of abandoned mines. The economic component of the municipality is heavily reliant on mining, with many residents employed in the sector. The cultural component is also influenced by mining, with many traditions and customs related to the industry. The sociopolitical component is complex, with a history of conflict and violence in the region. In Angelópolis, the study found that the municipality has a significant number of abandoned mines, with a high level of risk associated with these areas. The economic component of the municipality is also heavily reliant on mining, with many residents employed in the sector. The cultural component is influenced by mining, with many traditions and customs related to the industry. The study concluded that the municipalities of Amagá, Angelópolis, Titiribí, Venecia, and Andes are all affected by abandoned mining activities, with a high level of risk associated with these areas. The economic, cultural, sociopolitical, and geological aspects of each municipality are all influenced by mining, and the study recommends that the Colombian government and USAID prioritize the identification and characterization of AMEA in these areas.