| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Pantanal; Embrapa Pecuária Sudeste; Embrapa Semiárido; Embrapa Suínos e Aves. |
|
Data corrente: |
01/04/2021 |
|
Data da última atualização: |
12/04/2021 |
|
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
|
Autoria: |
NICODEMO, M. L. F.; MATTHIENSEN, A.; OLIVEIRA FILHO, E. C. de; PEREIRA, L. A.; BRITO, L. T. de L.; OTENIO, M. H.; OLIVEIRA, M. D. de; SCORZA JUNIOR, R. P. |
|
Afiliação: |
MARIA LUIZA FRANCESCHI NICODEMO, CPPSE; ALEXANDRE MATTHIENSEN, CNPSA; EDUARDO CYRINO DE OLIVEIRA FILHO, CPAC; LUCIO ALBERTO PEREIRA, CPATSA; LUIZA TEIXEIRA DE LIMA BRITO, CPATSA; MARCELO HENRIQUE OTENIO, CNPGL; MARCIA DIVINA DE OLIVEIRA, CPAP; ROMULO PENNA SCORZA JUNIOR, CPAO. |
|
Título: |
Water quality and pollution reduction. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
In: SILVA, M. S. L. da; MATTHIENSEN, A.; BRITO, L. T. de L.; LIMA, J. E. F. W.; CARVALHO, C. J. R. de (Ed.). Clean water and sanitation: contributions of Embrapa. Brasília, DF: Embrapa, 2020. Cap. 3. |
|
Páginas: |
p.29-36. |
|
Série: |
(Sustainable development goal, 6). |
|
ISBN: |
978-65-86056-23-5 |
|
Idioma: |
Inglês |
|
Notas: |
Translated by Paulo de Holanda Morais. |
|
Conteúdo: |
This chapter addresses Embrapa?s contribution to target 6.3, which relates to water quality and pollution reduction. Decreasing the availability of good quality water is a growing and global concern. Monitoring water quality, coupled with the adoption of good soil and water management practices and the use of technologies to reduce the production of contaminants, can contribute significantly to minimizing this problem and ensuring good quality water for all. The present chapter sought to list search results that point out paths that can be followed. More information is available on the portal Technological Solutions at Embrapa (Embrapa, 2017b). |
|
Palavras-Chave: |
Ecosystem restoration; Integrated water use; Monitoramento da água; Pollution preservation; Prevenção de poluição; Recovery of water quality; Redução da carga poluente; Reduction pollutant load; Restauração do ecossistema; Uso integrado da água; Water contamination. |
|
Thesagro: |
Água; Desenvolvimento Sustentável; Ecossistema; Manejo de Água; Poluição; Qualidade da Água. |
|
Thesaurus Nal: |
Environmental monitoring; Water; Water quality. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222461/1/WaterQualityPollution.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222296/1/Water-quality-and-pollution-reduction-2020.pdf
|
|
Marc: |
LEADER 02272naa a2200493 a 4500
001 2131191
005 2021-04-12
008 2020 bl uuuu u00u1 u #d
020 $a978-65-86056-23-5
100 1 $aNICODEMO, M. L. F.
245 $aWater quality and pollution reduction.$h[electronic resource]
260 $c2020
300 $ap.29-36.
490 $a(Sustainable development goal, 6).
500 $aTranslated by Paulo de Holanda Morais.
520 $aThis chapter addresses Embrapa?s contribution to target 6.3, which relates to water quality and pollution reduction. Decreasing the availability of good quality water is a growing and global concern. Monitoring water quality, coupled with the adoption of good soil and water management practices and the use of technologies to reduce the production of contaminants, can contribute significantly to minimizing this problem and ensuring good quality water for all. The present chapter sought to list search results that point out paths that can be followed. More information is available on the portal Technological Solutions at Embrapa (Embrapa, 2017b).
650 $aEnvironmental monitoring
650 $aWater
650 $aWater quality
650 $aÁgua
650 $aDesenvolvimento Sustentável
650 $aEcossistema
650 $aManejo de Água
650 $aPoluição
650 $aQualidade da Água
653 $aEcosystem restoration
653 $aIntegrated water use
653 $aMonitoramento da água
653 $aPollution preservation
653 $aPrevenção de poluição
653 $aRecovery of water quality
653 $aRedução da carga poluente
653 $aReduction pollutant load
653 $aRestauração do ecossistema
653 $aUso integrado da água
653 $aWater contamination
700 1 $aMATTHIENSEN, A.
700 1 $aOLIVEIRA FILHO, E. C. de
700 1 $aPEREIRA, L. A.
700 1 $aBRITO, L. T. de L.
700 1 $aOTENIO, M. H.
700 1 $aOLIVEIRA, M. D. de
700 1 $aSCORZA JUNIOR, R. P.
773 $tIn: SILVA, M. S. L. da; MATTHIENSEN, A.; BRITO, L. T. de L.; LIMA, J. E. F. W.; CARVALHO, C. J. R. de (Ed.). Clean water and sanitation: contributions of Embrapa. Brasília, DF: Embrapa, 2020. Cap. 3.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pantanal (CPAP) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Soja. |
|
Data corrente: |
03/03/2006 |
|
Data da última atualização: |
03/03/2006 |
|
Autoria: |
FARIAS, J. R. B.; ASSAD, E. D.; NEPOMUCENO, A. L.; NEUMAIER, N.; ALMEIDA, I. R. |
|
Título: |
Drought: risks in Brazilian soybean producing regions. |
|
Ano de publicação: |
2005 |
|
Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON INTEGRATED APPROACHES TO SUSTAIN AND IMPROVE PLANT PRODUCTION UNDER DROUGHT STRESS, 2., 2005, Rome. InterDrought - II: final program and abstract book. Rome, 2005. Não paginado. |
|
Idioma: |
Inglês |
|
Notas: |
Resumo P.2.29. |
|
Conteúdo: |
Water availability fluctuation is the main factor responsible for soybean yield variability in time and space in Brazil, and is the main limiting factor in obtaining near potential yields. Increments in yield and reductions in crop costs and risks became basic requirements for competitiveness in the current moder agribusiness world. Tools to help the decision making process are essential to tackle these challenges and to obtain
competitive and environmentally sustainable products. A collaborative project involving several Brazilian institutions (MAPA, EMBRAPA, ANEEL, INMET, IAPAR) was developed to demarcate areas with lower risks for soybean cropping in the states of PR, GO, TO, MS, MT, MG and BA. Areas with different probabilities of water deficit occurrence during the most critical phase of the crop development were characterized as favorable, intermediate and unfavorable, using soybean crop water balance models, geographical information systems and geostatistics. Different sowing dates, water availability in each region, water consumption in the different stages of development of the crop, soil type and cultivar were considered. For each State, 54 to 72 maps were generated as a result of the combination of nine or 12 sowing dates, three soil types and two cultivars. Each map portrayed a combination of a leveI of each one of the factors listed above, representing the drought risk classification of different areas of the State for a given sowing date as a function af the soil type and cultivar. These results are presently used by Brazilian governmental policy makers for financing and insure agricultural activities. MenosWater availability fluctuation is the main factor responsible for soybean yield variability in time and space in Brazil, and is the main limiting factor in obtaining near potential yields. Increments in yield and reductions in crop costs and risks became basic requirements for competitiveness in the current moder agribusiness world. Tools to help the decision making process are essential to tackle these challenges and to obtain
competitive and environmentally sustainable products. A collaborative project involving several Brazilian institutions (MAPA, EMBRAPA, ANEEL, INMET, IAPAR) was developed to demarcate areas with lower risks for soybean cropping in the states of PR, GO, TO, MS, MT, MG and BA. Areas with different probabilities of water deficit occurrence during the most critical phase of the crop development were characterized as favorable, intermediate and unfavorable, using soybean crop water balance models, geographical information systems and geostatistics. Different sowing dates, water availability in each region, water consumption in the different stages of development of the crop, soil type and cultivar were considered. For each State, 54 to 72 maps were generated as a result of the combination of nine or 12 sowing dates, three soil types and two cultivars. Each map portrayed a combination of a leveI of each one of the factors listed above, representing the drought risk classification of different areas of the State for a given sowing date as a function af the so... Mostrar Tudo |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 02288naa a2200181 a 4500
001 1468964
005 2006-03-03
008 2005 bl --- 0-- u #d
100 1 $aFARIAS, J. R. B.
245 $aDrought$brisks in Brazilian soybean producing regions.
260 $c2005
500 $aResumo P.2.29.
520 $aWater availability fluctuation is the main factor responsible for soybean yield variability in time and space in Brazil, and is the main limiting factor in obtaining near potential yields. Increments in yield and reductions in crop costs and risks became basic requirements for competitiveness in the current moder agribusiness world. Tools to help the decision making process are essential to tackle these challenges and to obtain competitive and environmentally sustainable products. A collaborative project involving several Brazilian institutions (MAPA, EMBRAPA, ANEEL, INMET, IAPAR) was developed to demarcate areas with lower risks for soybean cropping in the states of PR, GO, TO, MS, MT, MG and BA. Areas with different probabilities of water deficit occurrence during the most critical phase of the crop development were characterized as favorable, intermediate and unfavorable, using soybean crop water balance models, geographical information systems and geostatistics. Different sowing dates, water availability in each region, water consumption in the different stages of development of the crop, soil type and cultivar were considered. For each State, 54 to 72 maps were generated as a result of the combination of nine or 12 sowing dates, three soil types and two cultivars. Each map portrayed a combination of a leveI of each one of the factors listed above, representing the drought risk classification of different areas of the State for a given sowing date as a function af the soil type and cultivar. These results are presently used by Brazilian governmental policy makers for financing and insure agricultural activities.
700 1 $aASSAD, E. D.
700 1 $aNEPOMUCENO, A. L.
700 1 $aNEUMAIER, N.
700 1 $aALMEIDA, I. R.
773 $tIn: INTERNATIONAL CONFERENCE ON INTEGRATED APPROACHES TO SUSTAIN AND IMPROVE PLANT PRODUCTION UNDER DROUGHT STRESS, 2., 2005, Rome. InterDrought - II: final program and abstract book. Rome, 2005. Não paginado.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Soja (CNPSO) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
