Analysis of Wind Roses Using Hierarchical Cluster and Multidimensional Scaling Analysis at La Plata, Argentina

Knowledge of frequency wind patterns is very important for air pollution modelling, especially in a city like La Plata (approximately 850,000 inhabitants) with high vehicular and industrial activities and no air monitoring network. An hourly wind analysis was carried out on data from two local weath...

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Detalles Bibliográficos
Autores principales: Ratto, Gustavo, Maronna, Ricardo Antonio, Berri, Guillermo Jorge
Formato: Articulo
Lenguaje:Inglés
Publicado: 2010
Materias:
Ingeniería
Ciencias Exactas
Cluster analysis
Multidimensional scaling
Wind rose analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/133013
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-133013
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería
Ciencias Exactas
Cluster analysis
Multidimensional scaling
Wind rose analysis
spellingShingle Ingeniería
Ciencias Exactas
Cluster analysis
Multidimensional scaling
Wind rose analysis
Ratto, Gustavo
Maronna, Ricardo Antonio
Berri, Guillermo Jorge
Analysis of Wind Roses Using Hierarchical Cluster and Multidimensional Scaling Analysis at La Plata, Argentina
topic_facet Ingeniería
Ciencias Exactas
Cluster analysis
Multidimensional scaling
Wind rose analysis
description Knowledge of frequency wind patterns is very important for air pollution modelling, especially in a city like La Plata (approximately 850,000 inhabitants) with high vehicular and industrial activities and no air monitoring network. An hourly wind analysis was carried out on data from two local weather stations (points A and J). An initial result was that, in spite of differences in data quality, the local weather stations observations were consistent with local and regional National Meteorological Service (NMS) monthly based observations. Two non conventional multivariate statistical methods were employed to further analyse hourly data at points A and J. Hierarchical cluster resulted in a good summarising tool to visualise prevailing hourly winds. Resultant vectors emerging from the clustering process showed good similarity between sites and seasons; this allowed a further visualization of the average diurnal wind development. Multidimensional scaling (MDS) permitted a pairwise comparison of a large number of hourly wind roses. These wind roses were more similar to each other in colder seasons and at site A (the one that is closer to the river) than in warmer seasons and at site J. Most of the observed variations regarding seasons and sites revealed by cluster and MDS analysis are explained in terms of the sea-land breeze circulations. The methodology applied proved to be of utility for simplifying the analysis of high dimensional data with numerous observations.
format Articulo
Articulo
author Ratto, Gustavo
Maronna, Ricardo Antonio
Berri, Guillermo Jorge
author_facet Ratto, Gustavo
Maronna, Ricardo Antonio
Berri, Guillermo Jorge
author_sort Ratto, Gustavo
title Analysis of Wind Roses Using Hierarchical Cluster and Multidimensional Scaling Analysis at La Plata, Argentina
title_short Analysis of Wind Roses Using Hierarchical Cluster and Multidimensional Scaling Analysis at La Plata, Argentina
title_full Analysis of Wind Roses Using Hierarchical Cluster and Multidimensional Scaling Analysis at La Plata, Argentina
title_fullStr Analysis of Wind Roses Using Hierarchical Cluster and Multidimensional Scaling Analysis at La Plata, Argentina
title_full_unstemmed Analysis of Wind Roses Using Hierarchical Cluster and Multidimensional Scaling Analysis at La Plata, Argentina
title_sort analysis of wind roses using hierarchical cluster and multidimensional scaling analysis at la plata, argentina
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/133013
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