CLOSING THE LOOP: INDUSTRIAL ECOLOGY AND PREDICTIVE MODELING FOR CIRCULAR MUNICIPAL WASTE MANAGEMENT IN LATIN AMERICA

SIN RESUMEN

To develop a predictive model based on industrial ecology and machine learning to estimate municipal solid waste (MSW) generation in Metropolitan Lima.

OE1: Analyze MSW generation patterns in Metropolitan Lima, identifying trends and key factors influencing waste production. OE2: Identify socioeconomic, environmental, and operational variables affecting waste generation in the urban context of Latin America. OE3: Apply advanced machine learning techniques, such as random forest and neural networks, to improve the accuracy of waste generation predictions. OE4: Compare the developed model with predictive systems used in Austria, evaluating its applicability and potential adaptation for Metropolitan Lima. OE5: Validate the predictive model in Metropolitan Lima using historical and updated data, generating recommendations for its implementation in public waste management policies.

Investigacion aplicada

Multidisciplinario

CONCURSO ANUAL DE INVESTIGACIÓN

• 76 — Medioambiente, recursos naturales y ecología

Ciencias naturales - Ciencias de la Tierra, Ciencias ambientales - Ciencias del medio ambiente

PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ