Evaluation of the vegetation index and the concentration of metals in sediments in the Tarumã Microbasin, Mato Grosso do Sul, Brazil

Authors

DOI:

https://doi.org/10.33448/rsd-v9i7.4862

Keywords:

Aquatic environments; Vegetal cover; Environmental quality; Contaminants.

Abstract

The aim of the study was to evaluate quantitative physical-chemical parameters of water from streams in the Tarumã microbasin (MS, Brazil), to quantify metals (Cd, Pb, Cr, Cu, Fe, Zn and Ni) in the bottom sediments of these streams and to evaluate quali-quantitatively the vegetation index of normalized difference of locations (NDVI) by means of satellite images.Water turbidity and electrical conductivity values were highest at the nearest points in the urban region. In the NDVI analysis, sites P1, P2 and P4 presented reduced local ciliary vegetation, classified as low or very low. At sites P3, P5 and P6 we found higher proportions of vegetation at moderate and low levels. Regarding metals in sediments, all sampled sites presented metal concentrations below the limits established by current legislation. The low rate of vegetation cover around streams in the Tarumã microbasin, especially in spring sites, may compromise the equilibrium of this system.

References

Akindele, E. O, Omisakin, O. D, Oni, A. O, Aliu, O. O, Omoniyi, G. E & Akinpelu, O. T. (2020). Heavy metal toxicity in the water column and benthic sediments of a degraded tropical stream. Ecotoxicology and Environmental Safety, 190:110153. doi: https://doi.org/10.1016/j.ecoenv.2019.110153.

Ardeshir, R. A, Zolgharnein, H, Movahedinia, A, Salamat, N & Zabihi, E. (2017). Comparison of waterborne and intraperitoneal exposure to fipronil in the Caspian white fish (Rutilus frisii) on acute toxicity and histopathology. Toxicology Reports, 4:348-357. doi: 10.1016/j.toxrep.2017.06.010.

Betemps, G. R & Sanches Filho, P. J. (2012). Estudo sazonal de metais pesados no sedimento do Saco do Laranjal–Pelotas-RS. Ecotoxicology and Environmental Contamination, 7(2):79-84. doi: 10.5132/jbse.2012.02.012.

Brothers, S. M, Hilt, S, Meyer, S & Kohler, J. (2013). Plant community structure determines primary productivity in shallow, eutrophic lakes. Freshwater Biology, 58(11):2264-2276. doi: https://doi.org/10.1111/fwb.12207.

Companhia de Tecnologia de Saneamento Ambiental (CETESB). Relatório de Qualidade das Águas Interiores do Estado de São Paulo. (2014). Série Relatórios. Apêndice A: Significado Ambiental e Sanitário das Variáveis de Qualidade das Águas e dos Sedimentos e Metodologias Analíticas e de Amostragem. Acesso: Fev. 2020.

Cherubin, M. R, Franco, A. L. C, Cerri, C. E. P, Karlen, D. L, Pavinato, P. S, Rodrigues, M, Davies, C. A & Cerri, C. C. (2016). Phosphorus pools responses to land-use change for sugarcane expansion in weathered Brazilian soils. Geoderma, 265:27-38. doi: https://doi.org/10.1016/j.geoderma.2015.11.017.

Conselho Nacional do Meio Ambiente (CONAMA). Resolução n 357, 2005. Diário Oficial da União de 17 de Março de 2005. http://www.mma.gov.br/port/conama/legiabre.cfm? codlegi=459. Acesso: Fev. 2020.

Conselho Nacional do Meio Ambiente (CONAMA). Resolução n 454, 2012. Diário Oficial da União de 1 de Novembro de 2012. http://www.mma.gov.br/port/conama/legiabre. cfm?codlegi=459. Acesso: Fev. 2020.

Cotta, J. A. O & Rodrigues, M. (2020). Estudo da sorção de chumbo em solos intemperizados e em suas diferentes frações. Research, Society and Development, 9(4):1-17. doi: http://dx.doi.org/10.33448/rsd-v9i4.2306.

De Jonge, M, Belpaire, C, Van Thuyne, G, Breine, J & Bervoets, L. (2015). Temporal distribution of accumulated metal mixtures in two feral fish species and the relation with condition metrics and community structure. Environmental Pollution, 197:43-54. doi: 10.1016/j.envpol.2014.11.024.

Gao, Y, Gao, J, Wang, J, Wang, S, LI, Q, Zhai, S & Zhou, Y. (2017). Estimating the biomass of unevenly distributed aquatic vegetation in a lake using the normalized water-adjusted vegetation index and scale transformation method. Science of the Total Environment, 601: 998-1007. doi: 10.1016/j.scitotenv.2017.05.163.

Hortellani, M. A, Sarkis, J. E. S, Abessa, D. M. S & Sousa, E. C. P. M. (2008). Avaliação da contaminação por elementos metálicos dos sedimentos do Estuário Santos-São Vicente. Química Nova, 31(1):10-19. doi: http://dx.doi.org/10.1590/S0100-4042200 8000100003.

Jesus, I. S, Da Silva Medeiros, R. L, Cestari, M. M, De Almeida Bezerra, M & De Mello Affonso, P. R. (2014). Analysis of metal contamination and bioindicator potential of predatory fish species along Contas River basin in northeastern Brazil. Bulletin of environmental contamination and toxicology, 92(5):551-556. doi: 10.1007/s00128-013-1188-z.

Machado, C. S, Alves, R. I. S, Fregonesi, B. M, Tonani, K. A. A, Martinis, B. S, Sierra, J, Nadal, M, Domingo, J. L & Segura-Muñoz, S. (2016). Procedia Engineering, 162:230-237. doi: https://doi.org/10.1016/j.proeng.2016.11.046.

Melo, G. P, Navoni, J. A, Morais, F. D & Amaral, V. S. (2016). Ecotoxicological water assessment of an estuarine river from the Brazilian Northeast, potentially affected by industrial wastewater discharge. Science of the Total Environment, 572:324-33. doi: 10.1016/j.scitotenv.2016.08.002.

Nourani, V, Fard, A. F, Gupta, H. V, Goodrich, D. C & Niazi, F. (2017). Hydrological model parameterization using NDVI values to account for the effects of land cover change on the rainfall–runoff response. Hydrology Research, 48(6):1455-1473. doi: 10.2166/nh.2017.249.

Paula Filho, F. J, Marins, R. V, Lacerda, L. D, Aguiar, J. E & Peres, T. F. (2014). Background values for evaluation of heavy metal contamination in sediments in the Parnaíba River Delta estuary, NE/Brazil. Marine Pollution Bulletin, 91(2):424-428. doi: https://doi.org/10.1016/j.marpolbul.2014.08.022.

Peluso, L, Abelando, M, Apartín, C. D, Almada, P & Ronco, A. E. (2013). Integrated ecotoxicological assessment of bottom sediments from the Paraná basin, Argentina. Ecotoxicology and Environmental Safety, 98:179-186. doi: 10.1016/j.ecoenv.2013.09.001.

Peng, D, Wu, C, Li, C. C, Zhang, X, Liu, Z, Ye, H, Luo, S, Liu, X & Fang, B. (2017). Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations. Ecological Indicators, 77:323-336. doi: https://doi.org/10.1016/j.ecolind.2017.02.024.

R Core Team. (2019). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna http://www. R-project.org.

Ruiz de Arcaute, R, Soloneski, S & Larramendy, M. L. (2016). Toxic and genotoxic effects of the 2, 4-dichlorophenoxyacetic acid (2, 4-D)-based herbicide on the Neotropical fish Cnesterodon decemmaculatus. Ecotoxicology and Environmental Safety, 128:222-229. doi: 10.1016/j.ecoenv.2016.02.027.

Simonato, J. D, Mela, M, Doria, H. B, Guiloski, I. C, Randi, M. A. F, Carvalho, P. S. M, Meletti, P. C Silva De Assis, H. C, Bianchini, A & Martinez, C. B. R. (2016). Biomarkers of waterborne copper exposure in the Neotropical fish Prochilodus lineatus. Aquat Toxicol, 170 (1):31-41. doi: 10.1016/j.aquatox.2015.11.012.

Souza, R. G & Lima-Junior, S. E. (2013). Influence of environmental quality on the diet of Astyanax in a microbasin of central western Brazil. Acta Scientiarum. Biological Sciences, 35(2):177-184. doi: 10.4025/actascibiolsci.v34i2.

Sweeney, B. W, Bott, T. L, Jackson, J. K, Kaplan, L. A, Newbold, J. D, Standley, . J, Hession, W. C & Horwitz, R. J. (2004). Riparian deforestation, stream narrowing, and loss of stream ecosystem services. Proceedings of the National Academy of Sciences, 101 (39):14132-14137. doi: https://doi.org/10.1073/pnas.0405895101.

Tundisi, J. G & Tundisi, T. M. (2010). Impactos potenciais das alterações do Código Florestal nos recursos hídricos. Biota Neotropica, 10(4):67-75. doi: http://dx.doi.org/10.1590/S1676-06032010000400010.

Viana, L. F, Súarez, Y. R & Lima-Junior, S. E. (2013). Influence of environmental integrity on the feeding biology of Astyanax altiparanae Garutti & Britski, 2000 in the Ivinhema river basin. Acta Scientiarum. Biological Sciences, 35(4):541-548. doi: 10.4025/actascibiolsci.v35i4.

Viana, L. F, Súarez, Y. R, Cardoso, C. A. L, Solórzano, J. C. J, Crispim, B. D. A, Grisolia, A. B & Lima-Junior, S. E. (2017). Erythrocyte nuclear abnormalities in Astyanax lacustris in response to landscape characteristics in two neotropical streams. Archives of environmental contamination and toxicology, 17(1):1-8. doi: 10.1007/s00244-017-0476-8.

Viana, L. F, Súarez, Y. R, Cardoso, C. . L, Crispim, B. D. A, Cavalcante, D. N. C, Grisolia, A. B & Lima-Junior, S. E. (2018). The Response of Neotropical Fish Species (Brazil) on the Water Pollution: Metal Bioaccumulation and Genotoxicity. Archives of environmental contamination and toxicology, 75(3):476-485. doi: 10.1007/s00244-018-0551-9.

Vieira, T. C, Rodrigues, A. P. C, Amaral, P. M. G, de Oliveira, D. F. C, Gonçalves, R. A, Rodrigues, E, Silva, C, Vasques R. O, Malm, O, Silva-Filho, E. V, Godoy, J. M. O, Machado, W, Filippo, A & Bidone, E. D. (2020). Evaluation of the bioaccumulation kinetics of toxic metals in fish (A. brasiliensis) and its application on monitoring of coastal ecosystems. Mar Pollut Bull, 151:110830. doi: 10.1016/j.marpolbul.2019.110830.

Voigt, C. L, Silva, C. P & Campos, S. X. (2016). Avaliação da bioacumulação de metais em Cyprinus carpio pela interação com sedimento e água de reservatório. Química Nova, 39 (2):180-188. doi: http://dx.doi.org/10.5935/0100-4042.20160014.

Weber, P, Behr, E. R, Knorr, C. L, Vendruscolo, D. S, Flores, E. M. M, Dressler, V. L & Baldisserotto, B. (2013). Metals in the water, sediment, and tissues of two fish species from different trophic levels in a subtropical brazilian river. Microchemical Journal, 106:61-66. doi: https://doi.org/10.1016/j.microc.2012.05.004.

Yi, Y, Yang, Z & Zhang, S. (2011). Ecological risk assessment of heavy metals in sediment and human health risk assessment of heavy metals in fishes in the middle and lower reaches of the Yangtze River basin. Environmental Pollution, 159(10):2575-2585. doi: https://doi.org/10.1016/j.envpol.2011.06.011.

Zhang, H. K, Roy, D, Yan, L, LI, Z, Huang, H, Vermote, E, Skakun, SV & Roger, JC. (2018). Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences. Remote Sensing of Environment, 215:482-494. doi: 10.1016/j.rse.2018.04.031.

Downloads

Published

15/06/2020

How to Cite

VIANA, L. F.; FRANCISCO, L. F. V.; CARDOSO, C. A. L.; SOLÓRZANO, J. C. J.; LIMA-JUNIOR, S. E. Evaluation of the vegetation index and the concentration of metals in sediments in the Tarumã Microbasin, Mato Grosso do Sul, Brazil. Research, Society and Development, [S. l.], v. 9, n. 7, p. e806974862, 2020. DOI: 10.33448/rsd-v9i7.4862. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/4862. Acesso em: 28 apr. 2024.

Issue

Vol. 9 No. 7

Section

Agrarian and Biological Sciences

License

Authors who publish with this journal agree to the following terms:

1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.