Identification of Rainfall Homogenous Regions taking into account El Niño and La Niña and Rainfall Decrease in the state of Pará, Brazilian Amazon

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Main Author: Mariane Furtado Gonçalves
Format: Artículo científico
Language:en
Published: Universidade Estadual de Maringá 2016
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author Mariane Furtado Gonçalves
author_facet Mariane Furtado Gonçalves
contents Identification of Rainfall Homogenous Regions taking into account El Niño and La Niña and Rainfall Decrease in the state of Pará, Brazilian Amazon Mariane Furtado Gonçalves Claudio José Cavalcante Blanco Vanessa Conceição dos Santos Luciana Leal dos Santos Oliveira Francisco Carlos Lira Pessoa Ingeniería Ward method Climate change cluster analysis The statistical analysis of rainfall data is a tool to identify homogenous clusters which reveal the behavior pattern of the rainfall regime in a given region. Current study identifies homogenous clusters in the state of Pará in the Amazon region, Brazil, with rainfall data for 413 monitored sites. A 31-year historical series was used (1960-1990) and the years with the occurrence of El Niño and La Niña were selected. Ward’s Hierarchical Agglomerative Clustering Method was employed with Euclidean distance used as a similarity measurement. Results generated homogenous rainfall clusters for the state of Pará. A similarity in rainfall rates for the homogenous clusters was constructed which made possible the need to identify and analyze the importance of taking into consideration El Niño and La Niña to determine homogenous rainfall regions. One may also identify regions with low rainfall rates, which may represent climate changes caused by change in land use, as in the southeastern region of Pará, where agriculture and ranching have been replacing the Amazon forest for the last forty years. 2016 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303245370010 https://www.redalyc.org/journal/3032/303245370010/ https://www.redalyc.org/journal/3032/303245370010/html/ https://www.redalyc.org/journal/3032/303245370010/303245370010.epub https://www.redalyc.org/journal/3032/303245370010/movil en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Num.2 Vol.38
format Artículo científico
id redalyc_303245370010
institution Redalyc
language en
publishDate 2016
publisher Universidade Estadual de Maringá
spellingShingle Identification of Rainfall Homogenous Regions taking into account El Niño and La Niña and Rainfall Decrease in the state of Pará, Brazilian Amazon
Mariane Furtado Gonçalves
Ingeniería
Ward method
Climate change
cluster analysis
Identification of Rainfall Homogenous Regions taking into account El Niño and La Niña and Rainfall Decrease in the state of Pará, Brazilian Amazon Mariane Furtado Gonçalves Claudio José Cavalcante Blanco Vanessa Conceição dos Santos Luciana Leal dos Santos Oliveira Francisco Carlos Lira Pessoa Ingeniería Ward method Climate change cluster analysis The statistical analysis of rainfall data is a tool to identify homogenous clusters which reveal the behavior pattern of the rainfall regime in a given region. Current study identifies homogenous clusters in the state of Pará in the Amazon region, Brazil, with rainfall data for 413 monitored sites. A 31-year historical series was used (1960-1990) and the years with the occurrence of El Niño and La Niña were selected. Ward’s Hierarchical Agglomerative Clustering Method was employed with Euclidean distance used as a similarity measurement. Results generated homogenous rainfall clusters for the state of Pará. A similarity in rainfall rates for the homogenous clusters was constructed which made possible the need to identify and analyze the importance of taking into consideration El Niño and La Niña to determine homogenous rainfall regions. One may also identify regions with low rainfall rates, which may represent climate changes caused by change in land use, as in the southeastern region of Pará, where agriculture and ranching have been replacing the Amazon forest for the last forty years. 2016 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303245370010 https://www.redalyc.org/journal/3032/303245370010/ https://www.redalyc.org/journal/3032/303245370010/html/ https://www.redalyc.org/journal/3032/303245370010/303245370010.epub https://www.redalyc.org/journal/3032/303245370010/movil en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Num.2 Vol.38
title Identification of Rainfall Homogenous Regions taking into account El Niño and La Niña and Rainfall Decrease in the state of Pará, Brazilian Amazon
topic Ingeniería
Ward method
Climate change
cluster analysis
url https://www.redalyc.org/articulo.oa?id=303245370010
https://www.redalyc.org/journal/3032/303245370010/
https://www.redalyc.org/journal/3032/303245370010/html/
https://www.redalyc.org/journal/3032/303245370010/303245370010.epub
https://www.redalyc.org/journal/3032/303245370010/movil