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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
28/09/2022 |
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Data da última atualização: |
28/09/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOUSA, J. N.; SILVA, P. T. de S. e; DINIZ, M. C.; CONCEIÇÃO, M. H. |
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Afiliação: |
JACQUELINE NASCIMENTO SOUSA, CPATSA; PAULA TEREZA DE SOUZA E SILVA, CPATSA; MICHELY CORREIA DINIZ, UNIVASF; MARIA HOSANA CONCEICAO, UnB. |
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Título: |
Prospective study on chemometric methods for water classification. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Revista GEINTEC - Gestão, Inovação, Tecnologias, v. 12, n. 1, p. 37-47, 2022. |
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ISSN: |
2237-0722 |
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Idioma: |
Inglês |
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Conteúdo: |
Chemometric methods are currently used very frequently in water analysis. The present work deals with a bibliographic search, considering the scientific and technological developments of the water classification methods, in the area of chemometrics, through the search for articles and patents in the main databases available for research. The prospecting was carried out in the interval of ten years (2010-2020). 126 documents were found in the Scopus database, using the words water quality and chemometrics. Regarding patents, 764 documents were found in the Espacenet database, with 184 filings in Questel Orbit® software, of which 145 are Chinese, 08 are Japanese, 04 are from the United States and 01 from Brazil. Therefore, this study showed a broad scenario for investing, by both public and private authorities. Although Brazil has a considerable amount of scientific articles on the subject, the number of patents has yet to be increased. |
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Palavras-Chave: |
Classificação de Água; Métodos Quimiométricos; Parâmetros físico-químicos; Prospecção. |
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Thesagro: |
Água; Qualidade da Água. |
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Thesaurus Nal: |
Water quality; Water quality analysis. |
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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/doc/1146926/1/Prospective-Study-on-Chemometric-Methods-for-Water-Classification-2022.pdf
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Marc: |
LEADER 01751naa a2200265 a 4500
001 2146926
005 2022-09-28
008 2022 bl uuuu u00u1 u #d
022 $a2237-0722
100 1 $aSOUSA, J. N.
245 $aProspective study on chemometric methods for water classification.$h[electronic resource]
260 $c2022
520 $aChemometric methods are currently used very frequently in water analysis. The present work deals with a bibliographic search, considering the scientific and technological developments of the water classification methods, in the area of chemometrics, through the search for articles and patents in the main databases available for research. The prospecting was carried out in the interval of ten years (2010-2020). 126 documents were found in the Scopus database, using the words water quality and chemometrics. Regarding patents, 764 documents were found in the Espacenet database, with 184 filings in Questel Orbit® software, of which 145 are Chinese, 08 are Japanese, 04 are from the United States and 01 from Brazil. Therefore, this study showed a broad scenario for investing, by both public and private authorities. Although Brazil has a considerable amount of scientific articles on the subject, the number of patents has yet to be increased.
650 $aWater quality
650 $aWater quality analysis
650 $aÁgua
650 $aQualidade da Água
653 $aClassificação de Água
653 $aMétodos Quimiométricos
653 $aParâmetros físico-químicos
653 $aProspecção
700 1 $aSILVA, P. T. de S. e
700 1 $aDINIZ, M. C.
700 1 $aCONCEIÇÃO, M. H.
773 $tRevista GEINTEC - Gestão, Inovação, Tecnologias$gv. 12, n. 1, p. 37-47, 2022.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
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Registro |
Volume |
Status |
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Voltar
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
21/06/2018 |
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Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
PINHEIRO, H. S. K.; ANJOS, L. H. C. dos; XAVIER, P. A. M.; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de. |
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Afiliação: |
HELENA S. K. PINHEIRO, UFRRJ; LÚCIA HELENA CUNHA DOS ANJOS, UFRJ; PEDRO A. M. XAVIER, UFRRJ; CESAR DA SILVA CHAGAS, CNPS; WALDIR DE CARVALHO JUNIOR, CNPS. |
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Título: |
Quantitative pedology to evaluate a soil profile collection from the Brazilian semi-arid region. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
South African Journal of Plant and Soil, v. 35, n. 4, p. 269-279, 2018. |
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DOI: |
https://doi.org/10.1080/02571862.2017.1419385 |
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Idioma: |
Inglês |
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Conteúdo: |
This work applies pedometric tools to analyse soil property information relevant to morphological characterisation and soil classification. The objective of this paper was further to identify similarities in soil properties among a soil profile collection. The harmonisation of soil data enables the comparison between soil profiles, transference of information and modelling of soil horizons distribution. The statistical procedures were implemented in R software, through the Algorithms for Quantitative Pedology (AQP package), which contains a collection of algorithms to model soil resources and aid soil classification, soil profile aggregation and visualisation. The procedures allowed definition of values for soil properties in every one-centimetre layer of the soil profile, by regrouping the data in a different layer thickness, and it was possible to analyse similarity between profiles using a dissimilarity matrix for each depth slice. The AQP allowed analysis of a large number of soil profiles, in terms of vertical variability of soil continuous properties (e.g. sand and clay content, and pH) and for categorical variables, such as diagnostic horizons. Soil depth functions were developed to represent soil properties and probability of occurrence to diagnostic horizons to a large data set, and the dissimilarity analysis allowed separation of a small group of similar soil profiles and further qualitative comparison among the select profiles. |
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Palavras-Chave: |
Algorithms for Quantitative Pedology; Pacote AQP; Pedometria; Propriedades do solo. |
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Thesagro: |
Profundidade; Solo. |
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Thesaurus NAL: |
Soil depth; Soil properties. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02342naa a2200277 a 4500
001 2092685
005 2021-11-11
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1080/02571862.2017.1419385$2DOI
100 1 $aPINHEIRO, H. S. K.
245 $aQuantitative pedology to evaluate a soil profile collection from the Brazilian semi-arid region.$h[electronic resource]
260 $c2018
520 $aThis work applies pedometric tools to analyse soil property information relevant to morphological characterisation and soil classification. The objective of this paper was further to identify similarities in soil properties among a soil profile collection. The harmonisation of soil data enables the comparison between soil profiles, transference of information and modelling of soil horizons distribution. The statistical procedures were implemented in R software, through the Algorithms for Quantitative Pedology (AQP package), which contains a collection of algorithms to model soil resources and aid soil classification, soil profile aggregation and visualisation. The procedures allowed definition of values for soil properties in every one-centimetre layer of the soil profile, by regrouping the data in a different layer thickness, and it was possible to analyse similarity between profiles using a dissimilarity matrix for each depth slice. The AQP allowed analysis of a large number of soil profiles, in terms of vertical variability of soil continuous properties (e.g. sand and clay content, and pH) and for categorical variables, such as diagnostic horizons. Soil depth functions were developed to represent soil properties and probability of occurrence to diagnostic horizons to a large data set, and the dissimilarity analysis allowed separation of a small group of similar soil profiles and further qualitative comparison among the select profiles.
650 $aSoil depth
650 $aSoil properties
650 $aProfundidade
650 $aSolo
653 $aAlgorithms for Quantitative Pedology
653 $aPacote AQP
653 $aPedometria
653 $aPropriedades do solo
700 1 $aANJOS, L. H. C. dos
700 1 $aXAVIER, P. A. M.
700 1 $aCHAGAS, C. da S.
700 1 $aCARVALHO JUNIOR, W. de
773 $tSouth African Journal of Plant and Soil$gv. 35, n. 4, p. 269-279, 2018.
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Registro original: |
Embrapa Solos (CNPS) |
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