climate zoning; clustering; microclimate; principal component analysis; K-means
Abstract :
[en] Climatic classification is essential for evaluating climate parameters that allow sustainable urban planning and resource management in countries with difficult access to meteorological information. Clustering methods are on trend to identify climate zoning; however, for microclimate, it is necessary to apply a double clustering technique to reduce the variability from former clusters. This research raised a climate classification of an emerging country, Colombia, using climatological models based on freely available satellite image data. A double clustering approach was applied, including climatological, geographic, and topographic patterns. The research was divided into four stages, covering the collection and selection of climatic and geographic data, and multivariate statistical analysis including principal components analysis (PCA) and agglomerative hierarchical clustering (HAC). The meteorological data were from reliable sources from the Center for Hydrometeorology and Remote Sensing (CHRS) and the National Renewable Energy Laboratory (NREL). The results showed that a total of 17 microclimates distributed across the country were identified, each characterized by a different threshold of the climatic and geographic factors evaluated. This subdivision provided a detailed understanding of local climatic conditions, especially in the mountain chains of the Andes.
Disciplines :
Architecture
Author, co-author :
Mejía-Parada, Cristian ; Research Group on Threats, Vulnerability and Risks to Natural Phenomena, Faculty of Engineering, Research and Development University (UDI), Bucaramanga 680001, Colombia
Mora-Ruiz, Viviana ; Research Group on Threats, Vulnerability and Risks to Natural Phenomena, Faculty of Engineering, Research and Development University (UDI), Bucaramanga 680001, Colombia
Soto-Paz, Jonathan ; Research Group on Threats, Vulnerability and Risks to Natural Phenomena, Faculty of Engineering, Research and Development University (UDI), Bucaramanga 680001, Colombia
Parra-Orobio, Brayan A. ; GE&TES Research Group, Department of Environmental and Health Sciences, Popular University of Cesar, Aguachica 205010, Colombia
Attia, Shady ; Université de Liège - ULiège > Département ArGEnCo > Techniques de construction des bâtiments
Language :
English
Title :
Microclimate Zoning Based on Double Clustering Method for Humid Climates with Altitudinal Gradient Variations: A Case Study of Colombia
Publication date :
14 June 2024
Journal title :
Atmosphere
eISSN :
2073-4433
Publisher :
MDPI AG
Volume :
15
Issue :
6
Pages :
709
Peer reviewed :
Peer Reviewed verified by ORBi
Development Goals :
11. Sustainable cities and communities 13. Climate action
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Dnp Colombia, Potencial Mundial De La Vida Bases Del Plan Nacional de Desarrollo 2022–2026 Departamento Nacional de Planeación Bogotá, Colombia 2022
