Deforestation vs. changes in rainfall rates in the amazonian forest of northern Mato Grosso state.

Abstract : Recent studies has shown that a reduction of 40% in rainfall rates is expected in deforested areas, these researches have raised the question that deforestation and land use may alter negatively the hydrological cycle in the Brazilian Amazon. To better understand these correlations a set of 30 meteorological stations together with the remote sensing of 64 images of satellites LANDSAT 5 and 2 in northern Mato Grosso state was analyzed in a 30 years period from 1977 until 2007. This analysis encompassed a control area (preserved) characterized as the northwest of MT and another anthropogenic area along the arch of deforestation in the Brazilian highway BR -163. The IDW (Inverse Distance Weighting) method was used in a GIS and remote sensing image processing system "SPRING" as an interpolation tool in the treatment of rainfall data. Concomitant a climate change software (RCLIMDEX 1.0) corroborated to identify changes in rainfall patterns throughout the region. Both tools indicated decrease in precipitation. The results points to a decrease of rainfall in 20 meteorological stations in deforested areas and an increase in rainfall in 10 meteorological stations in preserved areas. It was also detected a land use change of more than 21% of the area in the northern part of MT state.
Type de document :
Communication dans un congrès
INPE. XV Simpósio Brasileiro de Sensoriamento Remoto - SBSR. INPE, 2011, Curitiba, Brazil. INPE, 15, pp.2944-2951, 2011
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https://halshs.archives-ouvertes.fr/halshs-00616307
Contributeur : Vincent Dubreuil <>
Soumis le : lundi 22 août 2011 - 09:44:44
Dernière modification le : mercredi 19 décembre 2018 - 14:24:04

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  • HAL Id : halshs-00616307, version 1

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Nathan Debortoli, Saulo Rodrigues Filho, Vincent Dubreuil. Deforestation vs. changes in rainfall rates in the amazonian forest of northern Mato Grosso state.. INPE. XV Simpósio Brasileiro de Sensoriamento Remoto - SBSR. INPE, 2011, Curitiba, Brazil. INPE, 15, pp.2944-2951, 2011. 〈halshs-00616307〉

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