AVALIAÇÃO DO IMPACTO DAS MUDANÇAS DE USO E COBERTURA DAS TERRAS NO ESCOAMENTO SUPERFICIAL
Resumo
O objetivo deste estudo foi analisar o comportamento do escoamento superficial em consequência das mudanças de uso e cobertura das terras (LULC), tendo como local de análise a bacia do Rio Novo (Brasil). Para a estimativa do escoamento superficial, foi utilizado o método da curva número (NRCS-CN) e como dados de entrada, as classificações de LULC fornecidas pelo projeto MapBiomas e o mapa pedológico do estado de São Paulo (1:250.000). A bacia do Rio Novo foi discretizada em dez sub-bacias. Os resultados mostraram mudanças importantes de LULC, entre os anos de 1992 e 2022, com redução das áreas de pastagem e aumento dos cultivos anuais e da cana-de-açúcar, bem como das áreas urbanas. Estas mudanças condicionam alterações nos valores de CN, o que implica em alterações nos valores de escoamento superficial. Para uma chuva de 130mm (~período de retorno de 10 anos), os valores de lâmina de escoamento superficial variaram de 3.21 mm (áreas com cobertura florestal sobre os solos do grupo hidrológico A) até 101.35 mm (para áreas urbanas sobre solos do grupo hidrológico C). O processo de urbanização ocorrido nas sub-bacias 1, 6 e 9, levou a um aumento nas áreas com ocorrência dos maiores valores de CN (CN iguais a 85 e 90). Locais com aumento nos valores de escoamento superficial devem ser considerados como áreas críticas, onde podem ocorrer perdas de solo e água, comprometendo a segurança hídrica na bacia.
Palavras-chave: Método NRSC-CN , Sistema de Informação Geográfica, Manejo de Recursos Hídricos, Mapbiomas
Referências
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ANA/GESUB (2013) Áreas Aflorantes dos Aquíferos e Sistemas Aquíferos do Brasil. Escala: 1:1.000.000. Available at: https://metadados.snirh.gov.br/geonetwork/srv/por/catalog.search#/metadata/3ec60e4f-85ea-4ba7-a90c-734b57594f90. Accessed: 02 October 2023
Beven, K. J. Rainfall-runoff modelling: the primer. New York : Wiley. 2012.
CUI, J.; ZHU, M.; LIANG, Y.; QIN, G.; LI, J.; LIU, Y. Land Use/Land Cover Change and Their Driving Factors in the Yellow River Basin of Shandong Province Based on Google Earth Engine from 2000 to 2020. Isprs International Journal Of Geo-Information, v. 11, n. 3, p. 163, 2022. DOI: http://dx.doi.org/10.3390/ijgi11030163.
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DU, X.; JIAN, J.; DU, C.; STEWART, R. D. Conservation management decreases surface runoff and soil erosion. International Soil And Water Conservation Research, v. 10, n. 2, p. 188-196, 2022. DOI: http://dx.doi.org/10.1016/j.iswcr.2021.08.001.
DUAN, X.; CHEN, Y.; WANG, L.; ZHENG, G.; LIANG, T. The impact of land use and land cover changes on the landscape pattern and ecosystem service value in Sanjiangyuan region of the Qinghai-Tibet Plateau. Journal Of Environmental Management, v. 325, p. 116539, jan. 2023. DOI: http://dx.doi.org/10.1016/j.jenvman.2022.116539.
EUROPEAN SPACE AGENCY, Sinergise. Copernicus Global Digital Elevation Model. Distributed by OpenTopography, 2021. DOI: https://doi.org/10.5069/G9028PQB.
FAOUZI, E.; ARIOUA, A.; HSSAISOUNE, M.; BOUDHAR, A.; ELALOUI, A.; KARAOUI, I. Sensitivity analysis of CN using SCS-CN approach, rain gauges and TRMM satellite data assessment into HEC-HMS hydrological model in the upper basin of Oum Er Rbia, Morocco. Modeling Earth Systems And Environment, v. 8, n. 4, p. 4707-4729, 2022. DOI: http://dx.doi.org/10.1007/s40808-022-01404-8.
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GUPTA, L.; DIXIT, J. Estimation of rainfall-induced surface runoff for the Assam region, India, using the GIS-based NRCS-CN method. Journal Of Maps, v. 18, n. 2, p. 428-440, 2022. DOI: http://dx.doi.org/10.1080/17445647.2022.2076624.
HAGRAS, A. Runoff modeling using SCS-CN and GIS approach in the Tayiba Valley Basin, Abu Zenima area, South-west Sinai, Egypt. Modeling Earth Systems And Environment, v. 9, n. 4, p. 3883-3895, 2023. DOI: http://dx.doi.org/10.1007/s40808-023-01714-5.
HAILU, A.; MAMMO, S.; KIDANE, M. Dynamics of land use, land cover change trend and its drivers in Jimma Geneti District, Western Ethiopia. Land Use Policy, v. 99, p. 105011, 2020. DOI: http://dx.doi.org/10.1016/j.landusepol.2020.105011.
HONG, Y.; ADLER, R. F. Estimation of global SCS curve numbers using satellite remote sensing and geospatial data. International Journal Of Remote Sensing, v. 29, n. 2, p. 471-477, 2008. DOI: http://dx.doi.org/10.1080/01431160701264292.
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KUMAR, D. S.; ARYA, D. S.; VOJINOVIC, Z. Modeling of urban growth dynamics and its impact on surface runoff characteristics. Computers, Environment And Urban Systems, v. 41, p. 124-135, 2013.
LAL, M.; MISHRA, S. K.; PANDEY, A.; PANDEY, R. P.; MEENA, P. K.; CHAUDHARY, A.; JHA, R. K.; SHREEVASTAVA, A. K.; KUMAR, Y. Evaluation of the Soil Conservation Service curve number methodology using data from agricultural plots. Hydrogeology Journal, v. 25, n. 1, p. 151-167, 2016. DOI:. http://dx.doi.org/10.1007/s10040-016-1460-5.
LANDIM, P. M. B. (Coord.). Mapa geológico do Estado de São Paulo. Escala 1:250.000. 1984.
MAPBIOMAS. MapBiomas Project- Collection 8 of the Annual Series of Land Use and Land Cover Maps of Brazil. 2023.
MELESSE, A. M.; SHIH, S.F. Spatially distributed storm runoff depth estimation using Landsat images and GIS. Computers And Electronics In Agriculture, v. 37, n. 1-3, p. 173-183, 2002. DOI: http://dx.doi.org/10.1016/s0168-1699(02)00111-4.
MISHRA, B.; KUMAR, P.; SARASWAT, C.; CHAKRABORTY, S.; GAUTAM, A. Water Security in a Changing Environment: concept, challenges and solutions. Water, v. 13, n. 4, p. 490, 2021. DOI: http://dx.doi.org/10.3390/w13040490.
NOSETTO, M. D.; JOBBÁGY, E. G.; BRIZUELA, A. B.; JACKSON, R. B. The hydrologic consequences of land cover change in central Argentina. Agriculture, Ecosystems & Environment, v. 154, p. 2-11, 2012. DOI: http://dx.doi.org/10.1016/j.agee.2011.01.008.
OGURA, A. P.; SILVA, A. C.; CASTRO, G. B.; ESPÍNDOLA, E. L.G.; SILVA, A. L. An overview of the sugarcane expansion in the state of São Paulo (Brazil) over the last two decades and its environmental impacts. Sustainable Production And Consumption, v. 32, p. 66-75, 2022. DOI: http://dx.doi.org/10.1016/j.spc.2022.04.010.
PESSOA, T. N.; LIBARDI, P. L. Physical-hydric properties of Oxisols as influenced by soil structure and clay mineralogy. Catena, v. 211, p. 106009, abr. 2022. DOI: http://dx.doi.org/10.1016/j.catena.2021.106009.
Piroli, E. L. Geoprocessamento aplicado ao estudo do uso da terra das áreas de preservação permanente dos corpos d´água da bacia hidrográfica do Rio Pardo. 2013. 150f. Tese (Livre-Docência) - Universidade Estadual Paulista, Ourinhos, 2013.
PROKEŁOVÁ, R.; HORÁčKOVÁ, Š.; SNOPKOVÁ, Z. Surface runoff response to long-term land use changes: spatial rearrangement of runoff-generating areas reveals a shift in flash flood drivers. Science Of The Total Environment, v. 815, p. 151591, abr. 2022. DOI: http://dx.doi.org/10.1016/j.scitotenv.2021.151591.
Pruski, F. F.; Brandão, V.S.; SILVA, D. D. Escoamento superficial. 2. ed. Viçosa: UFV, 2010.
Rossi, M. Mapa pedológico do Estado de São Paulo: revisado e ampliado. 2017
SARASWAT, C.; KUMAR, P.; MISHRA, B. K. Assessment of stormwater runoff management practices and governance under climate change and urbanization: an analysis of bangkok, hanoi and tokyo. Environmental Science & Policy, v. 64, p. 101-117, 2016. DOI: http://dx.doi.org/10.1016/j.envsci.2016.06.018.
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Publicado
07/08/2024
Como Citar
NICOLETE, Donizeti Aparecido Pastori; PIROLI, Edson Luís.
AVALIAÇÃO DO IMPACTO DAS MUDANÇAS DE USO E COBERTURA DAS TERRAS NO ESCOAMENTO SUPERFICIAL.
Mercator, Fortaleza, v. 23, ago. 2024.
ISSN 1984-2201.
Disponível em: <http://www.mercator.ufc.br/mercator/article/view/e23012>. Acesso em: 17 jan. 2026.
doi: https://doi.org/10.4215/rm2024.e23012.
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