The Erosivity of Rains
Sustainable Agricultural Management of the Lands of the Municipality of Castanhal/PA
DOI:
https://doi.org/10.37002/biobrasil.v11i4.1788Keywords:
soil conservation, water erosionAbstract
Aiming at sustainable agricultural planning, the rain erosivity of the municipality of Castanhal, located in the northeast region of the state of Pará, was determined. A continuous series of 39 years of rainfall records was used to calculate the rain coefficients, which were used in determining of rainfall erosivity through an equation adjusted to the rainfall conditions of Belém, with availability of pluviographic data, with climatic similarity and rainfall distribution verified through correlation analysis (r = 0.97). The average annual erosivity for the studied location was estimated at 22001 MJmm.ha-1.h-1.year-1, with a probability of return of 49.6% every 2.02 years. The return values for the periods of 5, 10, 20, 50 and 100 years were 24162, 25908, 27601, 29782 and 31406 MJmm.ha-1.h-1. year-1, respectively.
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References
Bertoni, J & Lombardi NF. Conservação do solo. São Paulo: Ícone; 1990.
Bazzano MGP, Eltz FLF & Cassol EA. Erosividade e características hidrológicas das chuvas de Rio Grande (RS). R Bras Ci Solo, 34: 235-244, 2010. DOI: https://doi.org/10.1590/S0100-06832010000100024
Carvalho DF, Durigon VL, Antunes MAH, Almeida WS & Oliveira PTS. Predicting soil erosion using Rusle and NDVI time series from TM Landsat 5. Pesquisa Agropecuária Brasileira, 49: 215-224, 2014. DOI: https://doi.org/10.1590/S0100-204X2014000300008
Damé RCF, Teixeira CFA, Gonçalves T, Santos JP & Quadro MS. Erosividade sob duas durações de intensidade máximas da chuva em Pelotas/RS. Revista Agro@mbiente, 6(1): 01-08, 2012. DOI: https://doi.org/10.18227/1982-8470ragro.v6i1.721
Foster G et al. Conversion of the universal soil loss equation to metric units.Soil Water Conserv., 36: 355- 359, 1981. DOI: https://doi.org/10.1080/00224561.1981.12436140
Moreti D et al. Importantes características de chuva para a conservação do solo e da água no município de São Manuel/SP. Rev. Bras. Ci. Solo, 27(4): 1-14, 2003. DOI: https://doi.org/10.1590/S0100-06832003000400016
Mello C et al. Erosividade mensal e anual no estado de Minas Gerais. Pesq. agropec. Bras. Brasília, 2(4): 537- 545, 2007. DOI: https://doi.org/10.1590/S0100-204X2007000400012
Oliveira JR, Chaves R & Melo A. A erosividade das chuvas em Belém/PA. Belém, Univ. Fed. Rural Amazônia, Boletim 22: 35-52, 1994.
Renard K & Freimund J. Using monthly precipitation data to estimate the R-factor in the revised USLE. Jornal of Hidrology, 157: 287-306, 1994. DOI: https://doi.org/10.1016/0022-1694(94)90110-4
Ribeiro JJ. Análises estatísticas no SAEG. Viçosa, UFV, 301: 169-226, 2001. Schwab G. Soil and water conservation engineering. New York, John Wiley & Sons, 683p. 1981.
Shamshad et al. Rainfall erosivity map for Brazil. Catena, 57(3): 251-259, 2004. DOI: https://doi.org/10.1016/j.catena.2003.11.006
Shamshad A, Azhari MN, Isa MH, Hussin WMA & Parida BP. Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia. Catena,72: 423-432, 2008 DOI: https://doi.org/10.1016/j.catena.2007.08.002
Silva MAS, Silva MLN, Curi N, Santos GR, Marques JJGSM & Menezes MD. Avaliação e espacialização da erosividade da chuva no Vale do Rio Doce, Região Centro-Leste do estado de Minas Gerais. R Bras Ci Solo, 34: 1029-1039, 2010. DOI: https://doi.org/10.1590/S0100-06832010000400003
Silva VCB & Machado PS. SIG na análise ambiental: suscetibilidade erosiva da bacia hidrográfica do Córrego Mutuca, Nova Lima - Minas Gerais. R Geogr, 31(2): 66-87, 2014.
Souza PJOP, Farias VDS, Lima MJA, Ramos TF & Sousa AML. Produção de Área Foliar e Biomassa e Produtividade do Feijão-caupi sob Regimes Hídricos em Castanhal, Pará. Revista Caatinga, 30(3): 748-759, 2017. DOI: https://doi.org/10.1590/1983-21252017v30n323rc
Tenório ARM et al. Mapeamento dos solos da Estação de Pscicultura de Castanhal. 1. ed. Belém: FCAP, 50p. 1999.
Williams JR. Sediment yield prediction with universal equation using runoff energy factor. USDA-ARS S-40: Present and prospective technology for predicting sediment yield and sources. Washington: USDA, 1975.
Wischmeir WH & Smith DD. Predicting rainfall erosion losses - a guide to conservation planning. Washington, USDA, 58p. (537), 1978.
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