Project Details
Description
SIN RESUMEN
General Objective
To develop a predictive model based on industrial ecology and machine learning to estimate municipal solid waste (MSW) generation in Metropolitan Lima.
Specific Objectives
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.
Research Level
Investigacion aplicada
Research Approach
Multidisciplinario
Project Type
CONCURSO ANUAL DE INVESTIGACIÓN
Research Lines
- 76 — Medioambiente, recursos naturales y ecología
OECD Fields of Science and Technology
Ciencias naturales - Ciencias de la Tierra, Ciencias ambientales - Ciencias del medio ambiente
Funding Institution
PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ
| Short title | CLOSING THE LOOP |
|---|---|
| Status | Active |
| Effective start/end date | 1/09/25 → 28/02/27 |