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| 19. |  | MENDONÇA. H. L.; ROMEIRO, R. S.; PISA, J. L.; VIEIRA JÚNIOR, J. R. Inibição do crescimento de patógenos fúngicos do tomateiro por um bioestimulante comercial. Summa Phytopathologica, Botucatu, v. 30, n. 1, p. 87, jan./mar. 2004. Resumo. Trabalho apresentado no 27º Congresso Paulista de Fitopatologia, 2003, Botucatu.| Biblioteca(s): Embrapa Hortaliças. |
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| Registros recuperados : 286 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
12/12/2019 |
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Data da última atualização: |
16/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
WEBBER, D. C.; MARQUES, F. A.; OLIVEIRA NETO, M. B. de; BARROS, A. H. C.; SILVA, M. S. L. da. |
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Afiliação: |
DANIEL CHAVES WEBBER, CNPS; FLAVIO ADRIANO MARQUES, CNPS; MANOEL BATISTA DE OLIVEIRA NETO, CNPS; ALEXANDRE HUGO CEZAR BARROS, CNPS; MARIA SONIA LOPES DA SILVA, CNPS. |
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Título: |
Site selection for underground dams using spatial multi-criteria evaluation in the semi-arid region of the state of Alagoas, Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON MANAGED AQUIFER RECHARGE, 10., 2019, Madrid. Managed aquifer recharge: local solutions to the global water crisis: proceedings... Madrid: TRAGSA, 2019. p. 236-244. ISMAR 10. |
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Idioma: |
Inglês |
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Conteúdo: |
A spatial multi-criteria evaluation is proposed to identify suitable locations for underground dams (UD) in the semi-arid state of Alagoas, Brazil. This is a strategic program, which involves a national agency, Embrapa, and the State Government of Alagoas. Suitable areas are identified by combining spatial information on topography, hydrography, pedology, and geology. The topography (slope) and hydrography line vectors were extracted treating a Digital Elevation Model. The pedological data were classified using soil attributes including salinity and sodicity. The geological data were classified according their origin and structural/tectonic factors. The pluviometry data from 78 stations were classified and, subsequently, interpolated. Each map following a basic Geographic Information System analysis was divided into three categories. The "High suitability" category was given to locations that contain ideal conditions; the "Moderate" category indicates suitable regions, but may require further analysis focused on the element which indicated a low rating note, and finally, the "Low Suitability" category, indicates environmental limitations under the criteria presented here, although may still be considered if a more detailed investigation is performed. The methodology proved to be accurate for the scale of investigation as the results coincided well with the areas where the most efficient UDs are already in operation. |
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Palavras-Chave: |
Avaliação multicritério; Seleção de sites; Semiárido. |
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Thesagro: |
Barragem Subterrânea; Sistema de Informação Geográfica. |
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Thesaurus NAL: |
Dams (hydrology); Geographic information systems. |
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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/206927/1/Site-selection-for-underground-dams-using-spatial-multi-criteria-evaluation-in-the-semi-arid-2019.pdf
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Marc: |
LEADER 02421nam a2200241 a 4500
001 2116784
005 2020-01-16
008 2019 bl uuuu u00u1 u #d
100 1 $aWEBBER, D. C.
245 $aSite selection for underground dams using spatial multi-criteria evaluation in the semi-arid region of the state of Alagoas, Brazil.$h[electronic resource]
260 $aIn: INTERNATIONAL SYMPOSIUM ON MANAGED AQUIFER RECHARGE, 10., 2019, Madrid. Managed aquifer recharge: local solutions to the global water crisis: proceedings... Madrid: TRAGSA, 2019. p. 236-244. ISMAR 10.$c2019
520 $aA spatial multi-criteria evaluation is proposed to identify suitable locations for underground dams (UD) in the semi-arid state of Alagoas, Brazil. This is a strategic program, which involves a national agency, Embrapa, and the State Government of Alagoas. Suitable areas are identified by combining spatial information on topography, hydrography, pedology, and geology. The topography (slope) and hydrography line vectors were extracted treating a Digital Elevation Model. The pedological data were classified using soil attributes including salinity and sodicity. The geological data were classified according their origin and structural/tectonic factors. The pluviometry data from 78 stations were classified and, subsequently, interpolated. Each map following a basic Geographic Information System analysis was divided into three categories. The "High suitability" category was given to locations that contain ideal conditions; the "Moderate" category indicates suitable regions, but may require further analysis focused on the element which indicated a low rating note, and finally, the "Low Suitability" category, indicates environmental limitations under the criteria presented here, although may still be considered if a more detailed investigation is performed. The methodology proved to be accurate for the scale of investigation as the results coincided well with the areas where the most efficient UDs are already in operation.
650 $aDams (hydrology)
650 $aGeographic information systems
650 $aBarragem Subterrânea
650 $aSistema de Informação Geográfica
653 $aAvaliação multicritério
653 $aSeleção de sites
653 $aSemiárido
700 1 $aMARQUES, F. A.
700 1 $aOLIVEIRA NETO, M. B. de
700 1 $aBARROS, A. H. C.
700 1 $aSILVA, M. S. L. da
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Registro original: |
Embrapa Solos (CNPS) |
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