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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
18/10/2018 |
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Data da última atualização: |
28/11/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CHAGAS, C. da S.; CARVALHO JUNIOR, W. de; PINHEIRO, H. S. K.; XAVIER, P. A. M.; BHERING, S. B.; PEREIRA, N. R.; CALDERANO FILHO, B. |
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Afiliação: |
CESAR DA SILVA CHAGAS, CNPS; WALDIR DE CARVALHO JUNIOR, CNPS; Helena Saraiva Koenow Pinheiro, Universidade Federal Rural do Rio de Janeiro; Pedro Armentano Mudado Xavier, Universidade Federal Rural do Rio de Janeiro; SILVIO BARGE BHERING, CNPS; NILSON RENDEIRO PEREIRA, CNPS; BRAZ CALDERANO FILHO, CNPS. |
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Título: |
Mapping soil cation exchange capacity in a semiarid region through predictive models and covariates from remote sensing data. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, v. 42, article e0170183, 2018. |
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DOI: |
10.1590/18069657rbcs20170183 |
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Idioma: |
Inglês |
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Conteúdo: |
Planning sustainable use of land resources requires reliable information about spatial distribution of soil physical and chemical properties related to environmental processes and ecosystemic functions. In this context, cation exchange capacity (CEC) is a fundamental soil quality indicator; however, it takes money and time to obtain this data. Although many studies have been conducted to spatially quantify soil properties on various scales and in different environments, not much is known about interactions between soil properties and environmental covariates in the Brazilian semiarid region. The goal of this study was to evaluate the efficiency of random forest and cokriging models applied to predict CEC in the Brazilian semiarid region. The covariates used to predict CEC consist of images from Landsat 5 TM and a legacy soil map (scale 1:10,000). The sample set comprises 499 samples from the topsoil layer (0.00-0.20 m), where 375 samples were used in training processes and 124 as validation samples. The cokriging model (R2= 0.57 and RMSE = 7.22 cmol c kg-1) performed better in predicting CEC than the random forest model (R2= 0.47 and RMSE = 7.89 cmol c kg-1). The approach used showed potential for estimating CEC content in the Brazilian semiarid region by using covariates obtained from orbital remote sensing and the legacy soil map. |
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Palavras-Chave: |
Geoestatística; Landsat 5; Mineração de dados. |
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Thesagro: |
Levantamento; Reconhecimento do Solo; Solo. |
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Thesaurus Nal: |
Soil surveys. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/184698/1/Mapping-Soil-Cation-Exchange.pdf
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Marc: |
LEADER 02267naa a2200289 a 4500
001 2097748
005 2018-11-28
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1590/18069657rbcs20170183$2DOI
100 1 $aCHAGAS, C. da S.
245 $aMapping soil cation exchange capacity in a semiarid region through predictive models and covariates from remote sensing data.$h[electronic resource]
260 $c2018
520 $aPlanning sustainable use of land resources requires reliable information about spatial distribution of soil physical and chemical properties related to environmental processes and ecosystemic functions. In this context, cation exchange capacity (CEC) is a fundamental soil quality indicator; however, it takes money and time to obtain this data. Although many studies have been conducted to spatially quantify soil properties on various scales and in different environments, not much is known about interactions between soil properties and environmental covariates in the Brazilian semiarid region. The goal of this study was to evaluate the efficiency of random forest and cokriging models applied to predict CEC in the Brazilian semiarid region. The covariates used to predict CEC consist of images from Landsat 5 TM and a legacy soil map (scale 1:10,000). The sample set comprises 499 samples from the topsoil layer (0.00-0.20 m), where 375 samples were used in training processes and 124 as validation samples. The cokriging model (R2= 0.57 and RMSE = 7.22 cmol c kg-1) performed better in predicting CEC than the random forest model (R2= 0.47 and RMSE = 7.89 cmol c kg-1). The approach used showed potential for estimating CEC content in the Brazilian semiarid region by using covariates obtained from orbital remote sensing and the legacy soil map.
650 $aSoil surveys
650 $aLevantamento
650 $aReconhecimento do Solo
650 $aSolo
653 $aGeoestatística
653 $aLandsat 5
653 $aMineração de dados
700 1 $aCARVALHO JUNIOR, W. de
700 1 $aPINHEIRO, H. S. K.
700 1 $aXAVIER, P. A. M.
700 1 $aBHERING, S. B.
700 1 $aPEREIRA, N. R.
700 1 $aCALDERANO FILHO, B.
773 $tRevista Brasileira de Ciência do Solo$gv. 42, article e0170183, 2018.
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Registro original: |
Embrapa Solos (CNPS) |
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Origem |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
14/10/2020 |
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Data da última atualização: |
14/10/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
OLIVEIRA, M. M. de; BELLI FILHO, P.; COLDEBELLA, A.; OLIVEIRA, P. A. V. de. |
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Afiliação: |
MATIAS MARCHESAN DE OLIVEIRA, IFC/Videira; PAULO BELLI FILHO, UFSC; ARLEI COLDEBELLA, CNPSA; PAULO ARMANDO VICTORIA DE OLIVEIRA, CNPSA. |
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Título: |
Évaluation des paramètres physico-chimiques du processus de compostage accéléré de carcasses de porcs morts, dans des réacteurs à cylindre rotatif. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
In: JOURNÉES DE LA RECHERCHE PORCINE, 52., 2020, Paris. Résumés et textes. Paris: IFIP; INRAE, 2020. p. 349-350. |
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Idioma: |
Francês |
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Conteúdo: |
Evaluation of physical and chemical parameters of accelerated composting of carcasses of dead pigs in rotary drum reactors: Rotary drum reactors are used to process pig carcasses in southern Brazil, which is the largest pig producing area in the country. The objective of this study was to evaluate physico-chemical parameters during accelerated composting of pig carcasses in a rotary drum reactor. For the experiment, a rotary drum reactor with a volume of 3.6 m3 was used, equipped with a continuous ventilation system that renewed air inside the reactor. The reactor was programmed to alternate between 24 minutes of rotation and 3 hours of rest. The reactor was operated in batch mode and loaded with a mass ratio of sawdust to pig carcass of 1.28. Biomass was collected weekly during the experimental period (8 weeks) for analysis of dry matter (DM), C (carbon), N (nitrogen) and pH. Temperature of the biomass was measured daily at 5 points inside the reactor. Over the experimental period, biomass DM decreased by 46.9%, mainly due to emission of C-CO2. Concentrations of C and N decreased from 52.7% and 2.94% of DM, respectively, to 45.5% and 0.8% of DM, respectively. The temperature of the biomass showed the characteristic behaviour of composting, remaining consistently above 50°C for 20 days. This technology has shown promising results, but modifications are needed to reduce N losses from the biomass during the process. |
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Thesagro: |
Compostagem; Suinocultura. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/216642/1/final9463.pdf
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Marc: |
LEADER 02102nam a2200169 a 4500
001 2125489
005 2020-10-14
008 2020 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, M. M. de
245 $aÉvaluation des paramètres physico-chimiques du processus de compostage accéléré de carcasses de porcs morts, dans des réacteurs à cylindre rotatif.$h[electronic resource]
260 $aIn: JOURNÉES DE LA RECHERCHE PORCINE, 52., 2020, Paris. Résumés et textes. Paris: IFIP; INRAE, 2020. p. 349-350.$c2020
520 $aEvaluation of physical and chemical parameters of accelerated composting of carcasses of dead pigs in rotary drum reactors: Rotary drum reactors are used to process pig carcasses in southern Brazil, which is the largest pig producing area in the country. The objective of this study was to evaluate physico-chemical parameters during accelerated composting of pig carcasses in a rotary drum reactor. For the experiment, a rotary drum reactor with a volume of 3.6 m3 was used, equipped with a continuous ventilation system that renewed air inside the reactor. The reactor was programmed to alternate between 24 minutes of rotation and 3 hours of rest. The reactor was operated in batch mode and loaded with a mass ratio of sawdust to pig carcass of 1.28. Biomass was collected weekly during the experimental period (8 weeks) for analysis of dry matter (DM), C (carbon), N (nitrogen) and pH. Temperature of the biomass was measured daily at 5 points inside the reactor. Over the experimental period, biomass DM decreased by 46.9%, mainly due to emission of C-CO2. Concentrations of C and N decreased from 52.7% and 2.94% of DM, respectively, to 45.5% and 0.8% of DM, respectively. The temperature of the biomass showed the characteristic behaviour of composting, remaining consistently above 50°C for 20 days. This technology has shown promising results, but modifications are needed to reduce N losses from the biomass during the process.
650 $aCompostagem
650 $aSuinocultura
700 1 $aBELLI FILHO, P.
700 1 $aCOLDEBELLA, A.
700 1 $aOLIVEIRA, P. A. V. de
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