Análisis del comportamiento de los residuos sólidos no peligrosos en los cantones de la provincia de Los Ríos: Un enfoque de Ciencia de Datos

Efficient solid waste management is a global challenge that affects the quality of life of communities and the environment. The inadequate handling of solid waste has raised concerns due to the constant population growth, and the province of Los Ríos is not the exception to this issue. Data Science has become crucial in various fields, including environmental work. Therefore, this project aims to analyze waste behavior by applying Data Science techniques. To identify the main variables influencing waste generation and management, Chi-Square and ANOVA analyses were conducted, ensuring the independence of the selected variables. Subsequently, to group the cantons according to similar characteristics, clustering techniques such as K-means, DBSCAN, and hierarchical clustering were applied, using Principal Component Analysis (PCA) to reduce data dimensionality. The results identified 16 influential variables related to the generation and disposal methods of non-hazardous solid waste in households. By applying clustering techniques, four groups with similar characteristics in waste disposal and management were identified. The strategies identified in each cluster revealed that certain cantons actively participate in environmental volunteering and that, for the most part, waste is disposed of with other household waste. These results demonstrate how Data Science can significantly contribute to environmental benefits.

• Autor principal: Alarcón Bermúdez, María Mercedes (author)
• Formato: masterThesis
• Lenguaje: spa
• Publicado: 2024
• Materias: Gestión sostenible; Residuos no peligrosos; Segmentación,; Minería de datos; Aprendizaje automático.
• Acceso en línea: https://repositorio.uteq.edu.ec/handle/43000/7840