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Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
16/09/2021 |
Data da última atualização: |
16/09/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
B. FILHO, M.; SILVA, M. G. da; POLIDORO, J. C.; LUNA, F. J.; MONTE, M. B. M.; MIKLÓS, A.; SOUZA-BARROS, F.; VARGAS, H. |
Afiliação: |
MILTON B. FILLHO, UENF; M. G. DA SILVA, UENF; JOSE CARLOS POLIDORO, CNPS; F. J. LUNA, UENF; M. B. M. MONTE, CETEM; A. MIKLÓS, UENF; F. SOUZA-BARROS, UFRJ; H. VARGAS, UENF. |
Título: |
Detection of ammonia released from zeolite by the quantum cascade laser based photoacoustic set-up. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
The European Physical Journal Special Topics, v. 153, p. 547-550, 2008. |
DOI: |
https://doi.org/10.1140/epjst/e2008-00505-6 |
Idioma: |
Inglês |
Conteúdo: |
We report the first results obtained with a Brazilian sedimentary zeolite (hereafter called the zeolite concentrate, ZC) to reduce ammonia volatilization - loss of the nitrogen nutrient - in tropical farms. Preliminary laboratory tests were made with both ammonium sulfate and urea into ZC. The reported field tests - obtained in rose cultivations - show a significant effect of the use of urea mixed with ZC on the stem growth of the rose buds. In the laboratory tests, the observations of the retention of ammonia by ZC were done using the photoacoustic set-up described in this work. The report data were obtained at temperatures of 25 and 60°C, simulating typical tropical weather temperatures. |
Palavras-Chave: |
Ammonia emission; Nitrogen nutrient; Quantum cascade laser. |
Thesaurus Nal: |
Ammonium sulfate. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 01530naa a2200265 a 4500 001 2134513 005 2021-09-16 008 2008 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1140/epjst/e2008-00505-6$2DOI 100 1 $aB. FILHO, M. 245 $aDetection of ammonia released from zeolite by the quantum cascade laser based photoacoustic set-up.$h[electronic resource] 260 $c2008 520 $aWe report the first results obtained with a Brazilian sedimentary zeolite (hereafter called the zeolite concentrate, ZC) to reduce ammonia volatilization - loss of the nitrogen nutrient - in tropical farms. Preliminary laboratory tests were made with both ammonium sulfate and urea into ZC. The reported field tests - obtained in rose cultivations - show a significant effect of the use of urea mixed with ZC on the stem growth of the rose buds. In the laboratory tests, the observations of the retention of ammonia by ZC were done using the photoacoustic set-up described in this work. The report data were obtained at temperatures of 25 and 60°C, simulating typical tropical weather temperatures. 650 $aAmmonium sulfate 653 $aAmmonia emission 653 $aNitrogen nutrient 653 $aQuantum cascade laser 700 1 $aSILVA, M. G. da 700 1 $aPOLIDORO, J. C. 700 1 $aLUNA, F. J. 700 1 $aMONTE, M. B. M. 700 1 $aMIKLÓS, A. 700 1 $aSOUZA-BARROS, F. 700 1 $aVARGAS, H. 773 $tThe European Physical Journal Special Topics$gv. 153, p. 547-550, 2008.
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Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
15/09/2014 |
Data da última atualização: |
15/09/2014 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
LU, D.; LI, G.; VALLADARES, G. S.; BATISTELLA, M. |
Afiliação: |
DENGSHENG LU, INDIANA UNIVERSITY; G. LI, INDIANA STATE UNIVERSITY; GUSTAVO S. VALLADARES, CNPM; MATEUS BATISTELLA, CNPM. |
Título: |
Mapping soil erosion risk in Rondônia, Brazilian Amazonia: using rusle, remote sensing and GIS. |
Ano de publicação: |
2004 |
Fonte/Imprenta: |
Land Degradation & Development, v. 15, p. 499-512, 2004. |
DOI: |
10.1002/ldr.634 |
Idioma: |
Português |
Conteúdo: |
This article discusses research in which the authors applied the Revised Universal Soil Loss Equation (RUSLE), remote sensing, and geographical information system (GIS) to the maping of soil erosion risk in Brazilian Amazonia. Soil map and soil survey data were used to develop the soil erodibility factor (K), and a digital elevation model image was used to generate the topographic factor (LS). The cover-management factor (C) was developed based on vegetation, shade, and soil fraction images derived from spectral mixture analysis of a Landsat Enhanced Thematic Mapper Plus image. Assuming the same climatic conditions and no support practice in the study area, the rainfall?runoff erosivity (R) and the support practice (P) factors were not used. The majority of the study area has K values of less than 0.2, LS values of less than 2.5, and C values of less than 0.25. A soil erosion risk map with five classes (very low, low, medium, medium-high, and high) was produced based on the simplified RUSLE within the GIS environment, and was linked to land use and land cover (LULC) image to explore relationships between soil erosion risk and LULC distribution. The results indicate that most successional and mature forests are in very low and low erosion risk areas, while agroforestry and pasture are usually associated with medium to high risk areas. This research implies that remote sensing and GIS provide promising tools for evaluating and mapping soil erosion risk in Amazonia. |
Palavras-Chave: |
Brazilian Amazonia; GIS; RUSLE; Soil erosion risk. |
Thesaurus NAL: |
Remote sensing. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/108416/1/4024.pdf
|
Marc: |
LEADER 02146naa a2200229 a 4500 001 1994981 005 2014-09-15 008 2004 bl uuuu u00u1 u #d 024 7 $a10.1002/ldr.634$2DOI 100 1 $aLU, D. 245 $aMapping soil erosion risk in Rondônia, Brazilian Amazonia$busing rusle, remote sensing and GIS.$h[electronic resource] 260 $c2004 520 $aThis article discusses research in which the authors applied the Revised Universal Soil Loss Equation (RUSLE), remote sensing, and geographical information system (GIS) to the maping of soil erosion risk in Brazilian Amazonia. Soil map and soil survey data were used to develop the soil erodibility factor (K), and a digital elevation model image was used to generate the topographic factor (LS). The cover-management factor (C) was developed based on vegetation, shade, and soil fraction images derived from spectral mixture analysis of a Landsat Enhanced Thematic Mapper Plus image. Assuming the same climatic conditions and no support practice in the study area, the rainfall?runoff erosivity (R) and the support practice (P) factors were not used. The majority of the study area has K values of less than 0.2, LS values of less than 2.5, and C values of less than 0.25. A soil erosion risk map with five classes (very low, low, medium, medium-high, and high) was produced based on the simplified RUSLE within the GIS environment, and was linked to land use and land cover (LULC) image to explore relationships between soil erosion risk and LULC distribution. The results indicate that most successional and mature forests are in very low and low erosion risk areas, while agroforestry and pasture are usually associated with medium to high risk areas. This research implies that remote sensing and GIS provide promising tools for evaluating and mapping soil erosion risk in Amazonia. 650 $aRemote sensing 653 $aBrazilian Amazonia 653 $aGIS 653 $aRUSLE 653 $aSoil erosion risk 700 1 $aLI, G. 700 1 $aVALLADARES, G. S. 700 1 $aBATISTELLA, M. 773 $tLand Degradation & Development$gv. 15, p. 499-512, 2004.
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