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| Registros recuperados : 164 | |
| 62. |  | RAMOS, N. P.; LUCHIARI JUNIOR, A.; BATISTA, E. R.; FERRAZ, J. M. G.; NEVES, M. C. Seleção de temas e critérios e identificação de pontos críticos para diagnóstico agroambiental da cadeia da cana-de-açúcar. In: WORKSHOP INTERNACIONAL BRASIL-JAPÃO EM BIOCOMBUSTÍVEL, MEIO AMBIENTE E NOVOS PRODUTOS DA BIOMASSA, 5., 2007, Campinas. Caderno de Resumos... Campinas: UNICAMP, 2007. p.75.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 68. | | RAMOS, N. P.; LUCHIARI JUNIOR, A.; BATISTA, E. R.; FERRAZ, J. M. G.; NEVES, M. C. Themes and criteria selection for an agro-environmental diagnosis of sugar cane production chain. In: WORKSHOP INTERNACIONAL BRASIL JAPÃO, 5., 2007, Campinas. Anais:Biocombustível, Meio Ambiente e Novos Produtos da Biomassa. Campinas: UNICAMP, 2007. 7p.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 76. | | SCHEPERS A. R.; SHANAHAN, J. F.; LIEBIG, M. A.; SCHEPERS, J. S.; JOHNSON, S. H.; LUCHIARI JUNIOR, A. Appropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years. Agronomy Journal, Madison, v. 96, n.1, p. 195-203, 2004.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 164 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
10/09/1996 |
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Data da última atualização: |
06/02/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
LUIZ, A. J. B.; NEVES, M. C.; GOMES, M. A. F.; SPADOTTO, C. A.; LUCHIARI JUNIOR, A. |
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Afiliação: |
ALFREDO JOSE BARRETO LUIZ, CNPMA; MARCOS CORREA NEVES, CNPMA; MARCO ANTONIO FERREIRA GOMES, CNPMA; CLAUDIO APARECIDO SPADOTTO, SGE; ARIOVALDO LUCHIARI JUNIOR, CNPTIA. |
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Título: |
Risk assessment of water contamination by agrochemical in watershed. |
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Ano de publicação: |
1996 |
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Fonte/Imprenta: |
In: CONFERENCE ON ENVIRONMETRICS IN BRAZIL, 1996, Sao Paulo. Abstracts. Sao Paulo: USP, 1996. |
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Páginas: |
p.G13-G14 |
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Idioma: |
Inglês |
|
Conteúdo: |
Intensive agricultural systems are based on the heavy use of pesticides and fertilizers. This fact offer a high contamination risk of the natural resources, even when adequate technical of storage, application and disposal are used. Brasil used in 1993 61,845t of active ingredients of pesticides (insecticide, fungicide and herbicide) and 11,424,635 t of fertilizers (phosphorus, nitrogen and potassium), being the application rates variable as a function of region and crop plants. The use was very high, for example, in corn, cotton, orange, potato, soybean, sugar-cane and tomato in the east region of Rio Parana basin. The risk of agrochemical contamination of the natural resource varies according to the environment and product properties, therefore it is necessary to improve the knowledge about environment/product relation in order to permit a space-temporal management on application of these products, to reduce the risks. In our country, because its large surface area (8,500,000 km2) the data of environmental properties are poorly detailed and are not continuous in time and space. We have access to good information about properties of the used products, but few information is available about the quantity, the site and the method of their application. This work was done with all these things in mind and with the objective of the establishment of a method which permits a first approximation to identify areas with high risk of water contamination by agrochemical. We decided only use data which are available to everyone, in order to facilitate the method acceptance. The basic idea was that the water is the main agrochemical transport medium after its application in the crop field, and the environmental properties involved in the water moving (here considerated only in liquid state) are soil type, terrain slope and precipitation rate. An algorithm was built, based upon logical relationship matrixes, which permits to establish the water runoff and infiltration potential by crossing information of soil and terrain slope. This crossing was done by geographic information of soil and terrain slope. This crossing was done by geographic information system IDRISI, using like example the data of the Corrego Espraiado watershed, Ribeirao Preto county, Sao Paulo, Brasil. Maps were generated with the localization of the areas with high, medium and low water runoff and infiltration (one is opposite of the other) potentials. The areas were quantified, resulting that from the total 4,463ha of the watershed, 1,779ha had high (low) runoff (infiltration) potential. Maps which permits the identification of the areas which have greater risk of water contamination in the watershed has been generated. These maps can be made on monthly, seasonal (dry, normal and rainy seasons) or annual basis, for the main products used in any other watershed that has similar data availability. MenosIntensive agricultural systems are based on the heavy use of pesticides and fertilizers. This fact offer a high contamination risk of the natural resources, even when adequate technical of storage, application and disposal are used. Brasil used in 1993 61,845t of active ingredients of pesticides (insecticide, fungicide and herbicide) and 11,424,635 t of fertilizers (phosphorus, nitrogen and potassium), being the application rates variable as a function of region and crop plants. The use was very high, for example, in corn, cotton, orange, potato, soybean, sugar-cane and tomato in the east region of Rio Parana basin. The risk of agrochemical contamination of the natural resource varies according to the environment and product properties, therefore it is necessary to improve the knowledge about environment/product relation in order to permit a space-temporal management on application of these products, to reduce the risks. In our country, because its large surface area (8,500,000 km2) the data of environmental properties are poorly detailed and are not continuous in time and space. We have access to good information about properties of the used products, but few information is available about the quantity, the site and the method of their application. This work was done with all these things in mind and with the objective of the establishment of a method which permits a first approximation to identify areas with high risk of water contamination by agrochemical. We decided only... Mostrar Tudo |
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Palavras-Chave: |
Geographic information system; Intensive agriculture; Ribeirao Preto; Water contamination. |
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Thesaurus NAL: |
agrochemicals; Brazil; environment; fertilizers; natural resources; pesticides; water quality. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/176046/1/Luiz-Risk.pdf
|
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Marc: |
LEADER 03794nam a2200301 a 4500
001 1012545
005 2023-02-06
008 1996 bl uuuu u00u1 u #d
100 1 $aLUIZ, A. J. B.
245 $aRisk assessment of water contamination by agrochemical in watershed.$h[electronic resource]
260 $aIn: CONFERENCE ON ENVIRONMETRICS IN BRAZIL, 1996, Sao Paulo. Abstracts. Sao Paulo: USP$c1996
300 $ap.G13-G14
520 $aIntensive agricultural systems are based on the heavy use of pesticides and fertilizers. This fact offer a high contamination risk of the natural resources, even when adequate technical of storage, application and disposal are used. Brasil used in 1993 61,845t of active ingredients of pesticides (insecticide, fungicide and herbicide) and 11,424,635 t of fertilizers (phosphorus, nitrogen and potassium), being the application rates variable as a function of region and crop plants. The use was very high, for example, in corn, cotton, orange, potato, soybean, sugar-cane and tomato in the east region of Rio Parana basin. The risk of agrochemical contamination of the natural resource varies according to the environment and product properties, therefore it is necessary to improve the knowledge about environment/product relation in order to permit a space-temporal management on application of these products, to reduce the risks. In our country, because its large surface area (8,500,000 km2) the data of environmental properties are poorly detailed and are not continuous in time and space. We have access to good information about properties of the used products, but few information is available about the quantity, the site and the method of their application. This work was done with all these things in mind and with the objective of the establishment of a method which permits a first approximation to identify areas with high risk of water contamination by agrochemical. We decided only use data which are available to everyone, in order to facilitate the method acceptance. The basic idea was that the water is the main agrochemical transport medium after its application in the crop field, and the environmental properties involved in the water moving (here considerated only in liquid state) are soil type, terrain slope and precipitation rate. An algorithm was built, based upon logical relationship matrixes, which permits to establish the water runoff and infiltration potential by crossing information of soil and terrain slope. This crossing was done by geographic information of soil and terrain slope. This crossing was done by geographic information system IDRISI, using like example the data of the Corrego Espraiado watershed, Ribeirao Preto county, Sao Paulo, Brasil. Maps were generated with the localization of the areas with high, medium and low water runoff and infiltration (one is opposite of the other) potentials. The areas were quantified, resulting that from the total 4,463ha of the watershed, 1,779ha had high (low) runoff (infiltration) potential. Maps which permits the identification of the areas which have greater risk of water contamination in the watershed has been generated. These maps can be made on monthly, seasonal (dry, normal and rainy seasons) or annual basis, for the main products used in any other watershed that has similar data availability.
650 $aagrochemicals
650 $aBrazil
650 $aenvironment
650 $afertilizers
650 $anatural resources
650 $apesticides
650 $awater quality
653 $aGeographic information system
653 $aIntensive agriculture
653 $aRibeirao Preto
653 $aWater contamination
700 1 $aNEVES, M. C.
700 1 $aGOMES, M. A. F.
700 1 $aSPADOTTO, C. A.
700 1 $aLUCHIARI JUNIOR, A.
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