SOIL FLOW IN SOIL MODELED FROM TEMPERATURE DATA ON TWO LEVELS OF DEPTH IN A TROPICAL FOREST IN THE WESTERN AMAZON

Ciência E Natura

Endereço:
Revista Ciência e Natura | Campus Sede-Cidade Universitária | Av. Roraima nº 1000, Prédio 13, Sala 1122 | Fone/Fax +55(55) 3220-8735 | Bairro Camobi
Santa Maria / RS
97105-900
Site: http://www.ufsm.br/cienciaenatura
Telefone: (55) 3220-8735
ISSN: 2179-460X
Editor Chefe: Marcelo Barcellos da Rosa
Início Publicação: 30/11/1979
Periodicidade: Quadrimestral

SOIL FLOW IN SOIL MODELED FROM TEMPERATURE DATA ON TWO LEVELS OF DEPTH IN A TROPICAL FOREST IN THE WESTERN AMAZON

Ano: 2018 | Volume: 40 | Número: Especial
Autores: Antônio Vinicius do Prado Rodrigues, Nelma Tavares Dias Soares, Renata Gonçalves Aguiar, Alberto Dresch Webler, Bruno Soares de Castro
Autor Correspondente: Antônio Vinicius do Prado Rodrigues | [email protected]

Palavras-chave: balance of energy, geothermal flow, bug filling

Resumos Cadastrados

Resumo Inglês:

The global climate is directly dependent on the ecological balance of forests, especially tropical ones. The heat flux in the soil is an important factor in studies of energy balance representing the main form of energy exchange between soil and atmosphere. The aim of the present work was to estimate soil heat flux using soil temperature measurements at two depth levels in a tropical forest in the Western Amazon, in order to obtain coherent data for both the use of the values ​​and for the filling of failures in database. Soil temperature and heat flux data collected in a micrometeorological tower belonging to the tower network of the Large Scale Biosphere-Atmosphere Program in the Amazon region, located in the Jaru Biological Reserve, were used. The estimated data presented 94% of agreement with the measured data, the two have similar behaviors that allow the use in filling of demonstrative failures. However, there is a delay in the estimated values ​​of the heat flux in the soil in relation to the measured one, which interferes in the result of the model, provoking more studies to improve it.