Espacialização da temperatura do ar anual no estado de Alagoas com diferentes modelos digitais de elevação e resoluções espaciais
The aim of this study was to establish a digital elevation model and its horizontal resolution to interpolate the annual air temperature for the Alagoas State by means of multiple linear regression models. A multiple linear regression model was adjusted to series (11 to 34 years) of annual air tempe...
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Universidade Federal de Santa Maria
2011-01-01
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doaj-9cbcbe95498e4c42b21f7843b61705eb2020-11-25T01:38:22ZporUniversidade Federal de Santa MariaCiência Florestal0103-99541980-50982011-01-01212275287Espacialização da temperatura do ar anual no estado de Alagoas com diferentes modelos digitais de elevação e resoluções espaciaisGustavo Bastos LyraMercel José dos SantosJosé Leonaldo de SouzaGuilherme Bastos LyraMarcos Alex dos SantosThe aim of this study was to establish a digital elevation model and its horizontal resolution to interpolate the annual air temperature for the Alagoas State by means of multiple linear regression models. A multiple linear regression model was adjusted to series (11 to 34 years) of annual air temperatures obtained from 28 weather stations in the states of Alagoas, Bahia, Pernambuco and Sergipe, in the Northeast of Brazil, in function of latitude, longitude and altitude. The elevation models SRTM and GTOPO30 were used in the analysis, with original resolutions of 90 and 900 m, respectively. The SRTM was resampled for horizontal resolutions of 125, 250, 500, 750 and 900 m. For spatializing the annual mean air temperature for the state of Alagoas, a multiple linear regression model was used for each elevation and spatial resolution on a grid of the latitude and longitude. In Alagoas, estimates based on SRTM data resulted in a standard error of estimate (0.57 º C) and dispersion (r2 = 0.62) lower than those obtained from GTOPO30 (0.93ºC and 0.20). In terms of SRTM resolutions, no significant differences were observed between the standard error (0.55 °C; 750 m - 0.58 ºC; 250m) and dispersion (0.60; 500 m - 0.65; 750 m) estimates. The spatialization of annual air temperature in Alagoas, via multiple regression models applied to SRTM data showed higher concordance than that obtained with the GTOPO30, independent of the spatial resolution.http://www.redalyc.org/articulo.oa?id=53418965010 |
collection |
DOAJ |
language |
Portuguese |
format |
Article |
sources |
DOAJ |
author |
Gustavo Bastos Lyra Mercel José dos Santos José Leonaldo de Souza Guilherme Bastos Lyra Marcos Alex dos Santos |
spellingShingle |
Gustavo Bastos Lyra Mercel José dos Santos José Leonaldo de Souza Guilherme Bastos Lyra Marcos Alex dos Santos Espacialização da temperatura do ar anual no estado de Alagoas com diferentes modelos digitais de elevação e resoluções espaciais Ciência Florestal |
author_facet |
Gustavo Bastos Lyra Mercel José dos Santos José Leonaldo de Souza Guilherme Bastos Lyra Marcos Alex dos Santos |
author_sort |
Gustavo Bastos Lyra |
title |
Espacialização da temperatura do ar anual no estado de Alagoas com diferentes modelos digitais de elevação e resoluções espaciais |
title_short |
Espacialização da temperatura do ar anual no estado de Alagoas com diferentes modelos digitais de elevação e resoluções espaciais |
title_full |
Espacialização da temperatura do ar anual no estado de Alagoas com diferentes modelos digitais de elevação e resoluções espaciais |
title_fullStr |
Espacialização da temperatura do ar anual no estado de Alagoas com diferentes modelos digitais de elevação e resoluções espaciais |
title_full_unstemmed |
Espacialização da temperatura do ar anual no estado de Alagoas com diferentes modelos digitais de elevação e resoluções espaciais |
title_sort |
espacialização da temperatura do ar anual no estado de alagoas com diferentes modelos digitais de elevação e resoluções espaciais |
publisher |
Universidade Federal de Santa Maria |
series |
Ciência Florestal |
issn |
0103-9954 1980-5098 |
publishDate |
2011-01-01 |
description |
The aim of this study was to establish a digital elevation model and its horizontal resolution to interpolate the annual air temperature for the Alagoas State by means of multiple linear regression models. A multiple linear regression model was adjusted to series (11 to 34 years) of annual air temperatures obtained from 28 weather stations in the states of Alagoas, Bahia, Pernambuco and Sergipe, in the Northeast of Brazil, in function of latitude, longitude and altitude. The elevation models SRTM and GTOPO30 were used in the analysis, with original resolutions of 90 and 900 m, respectively. The SRTM was resampled for horizontal resolutions of 125, 250, 500, 750 and 900 m. For spatializing the annual mean air temperature for the state of Alagoas, a multiple linear regression model was used for each elevation and spatial resolution on a grid of the latitude and longitude. In Alagoas, estimates based on SRTM data resulted in a standard error of estimate (0.57 º C) and dispersion (r2 = 0.62) lower than those obtained from GTOPO30 (0.93ºC and 0.20). In terms of SRTM resolutions, no significant differences were observed between the standard error (0.55 °C; 750 m - 0.58 ºC; 250m) and dispersion (0.60; 500 m - 0.65; 750 m) estimates. The spatialization of annual air temperature in Alagoas, via multiple regression models applied to SRTM data showed higher concordance than that obtained with the GTOPO30, independent of the spatial resolution. |
url |
http://www.redalyc.org/articulo.oa?id=53418965010 |
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