USE OF GEOSTATISTICAL MODELS IN THE SPACE-TEMPORAL EVALUATION OF WATER QUALITY OF AN AMAZONIAN HYDROELECTRIC RESERVOIR
DOI:
https://doi.org/10.29121/granthaalayah.v9.i10.2021.4308Keywords:
Geostatistical Models, Water Quality, UHE - TucuruíAbstract [English]
The Tucuruí Hydro-Power Complex reservoir, Pará State, Amazon Region-Brazil, as well as other reservoirs is subject to natural alterations and anthropogenic activities which in turn affect the environmental balance. The aim of this work was to verify if geostatistical models can be used in the spatial-temporal evaluation of water quality in reservoirs. The Surfer 13® software was used to interpolate the spatial distribution of data, in two years of surface water physicochemical parameters were evaluated in sixteen sampling stations. The results of the isotopic maps showed low concentrations of DO at station C1 in the Intermediate Period 2 (summer-winter), high concentration of COD at station MP in the Intermediate Period 1 (winter-summer) and increased acidity at stations C1 and C2 in summer, suggesting that the relationship between the Tucuruí Hydro-Power Complex and farming activities in the region cause impacts on the aquatic ecosystem along the reservoir.
Downloads
References
Affonso AG, Barbosa C, Novo EMLM (2011). Water quality changes in floodplain lakes due to the Amazon River flood pulse: Lago Grande de Curuaí (Pará). Braz. J. Biol., 71(3), 601-610. doi: https://doi.org/10.1590/S1519-69842011000400004. Retrieved from https://doi.org/10.1590/S1519-69842011000400004 DOI: https://doi.org/10.1590/S1519-69842011000400004
Álvarez-Cabria M, Barquín J, Peñas FJ (2016). Modelling the spatial and seasonal variability of water quality for entire river networks: Relationships with natural and anthropogenic factors. Science of The Total Environment 545, 152-162. doi:10.1016/j.scitotenv.2015.12.109. Retrieved from https://doi.org/10.1016/j.scitotenv.2015.12.109 DOI: https://doi.org/10.1016/j.scitotenv.2015.12.109
APHA, AWWA, WEF (2012) Standard Methods for examination of water and wastewater. 22nd ed. Washington: American Public Health Association; 1360 pp. ISBN 978-087553-013-0
Awad J, Van Leeuwen J, Chow CWK, Smernik RJ, Anderson SJ, Cox JW (2017). Seasonal variation in the nature of DOM in a river and drinking water reservoir of a closed catchment. Environmental Pollution 220, 788-796. doi:10.1016/j.envpol.2016.10.054. Retrieved from https://doi.org/10.1016/j.envpol.2016.10.054 DOI: https://doi.org/10.1016/j.envpol.2016.10.054
Belkhiri L, Narany TS (2015). Using multivariate statistical analysis, geostatistical techniques and structural equation modeling to identify spatial variability of groundwater quality. Water Resources Management 29, 2073-2089. doi:10.1007/s11269-015-0929-7. Retrieved from https://doi.org/10.1007/s11269-015-0929-7 DOI: https://doi.org/10.1007/s11269-015-0929-7
COMPANHIA AMBIENTAL DO ESTADO DE SÃO PAULO (CETESB). Índices dequalidade das águas. São Paulo: CETESB, 2019. Disponível em: http://www.cetesb.sp.gov.br/agua/%C3%A1guas-superficiais/108-%C3%ADndices-de-qualidade-das-%C3%A1guas> Acesso em: 18 Jun. 2019.
Cardoso CMM, Cardoso NCVFM, Mendonça ARV, Pedroza MM, Vieira GEG, Oliveira JD (2018) Quantificação da matéria orgânica em rios da Amazônia brasileira sob a influência de resíduos da indústria de curtume. Revista AIDIS de Ingeniería y Ciencias Ambientales: Investigación, desarrollo y práctica 11 (2), 153-166. doi: Retrieved from http://dx.doi.org/10.22201/iingen.0718378xe.2018.11.2.58365.
Catherine A, Mouillot D, Maloufi S, Troussellier M, Bernard C (2013). Projecting the Impact of Regional Land-Use Change and Water Management Policies on Lake Water Quality: An Application to Periurban Lakes and Reservoirs. PLoS ONE 8, e72227. doi:10.1371/journal.pone.0072227. Retrieved from https://doi.org/10.1371/journal.pone.0072227 DOI: https://doi.org/10.1371/journal.pone.0072227
Cigagna C, Bonotto DM, Sturaro JR, Camargo AFM (2015). Geostatistical techniques applied to mapping limnological variables and quantify the uncertainty associated with estimates. Acta Limnologica Brasiliensia 27, 421-430. doi:10.1590/S2179-975X3315. Retrieved from https://doi.org/10.1590/S2179-975X3315 DOI: https://doi.org/10.1590/S2179-975X3315
Cintra IHA, Flexa CE, Silva MB, Araújo MVLF, Silva KCA (2013). Fishing in reservoir of the Tucuruí hydroelectric power station, Amazon region, Brazil: biological aspects, social, economic and environmental. Acta of Fisheries and Aquatic Resources 1, 57-78. doi:10.2312/ActaFish.2013.1.1.57-78.
Cudowski A, Pietryczuka A, Hauschild T (2013). Aquatic fungi in relation to the physical and chemical parameters of water quality in the Augustów Canal. Fungal ecology 13, 193-204. doi:10.1016/j.funeco.2014.10.002. Retrieved from https://doi.org/10.1016/j.funeco.2014.10.002 DOI: https://doi.org/10.1016/j.funeco.2014.10.002
Curtarelli MP, Ogashawara I, Araújo CAS, Lorenzzetti JA, Leão JAD, Alcântara E, Stech JL (2016). Carbon dioxide emissions from Tucuruí reservoir (Amazon biome): New findings based on three-dimensional ecological model simulations. Science of the Total Environment 551-552, 676-694. doi:10.1016/j.scitotenv.2016.02.001. Retrieved from https://doi.org/10.1016/j.scitotenv.2016.02.001 DOI: https://doi.org/10.1016/j.scitotenv.2016.02.001
Di Blasi JIP, Torres JM, Nieto PJG, Fernández JRA, Muñiz C D, Tadaboa J (2013). Analysis and detection of outliers in water quality parameters from different automated monitoring stations in the Miño river basin (NW Spain). Ecological Engineering 60, 60-66. doi:10.1016/j.ecoleng.2013.07.054. Retrieved from https://doi.org/10.1016/j.ecoleng.2013.07.054 DOI: https://doi.org/10.1016/j.ecoleng.2013.07.054
Döll P, Fiedler K, Zhang J (2009). Global-scale analysis of river flow alterations due to water withdrawals and reservoirs. Hydrol. Earth Syst. Sci. 13, 2413-2432. doi:10.5194/hess-13-2413-2009. Retrieved from https://doi.org/10.5194/hess-13-2413-2009 DOI: https://doi.org/10.5194/hess-13-2413-2009
Espíndola ELG, Matsumura-Tundisi T, Rietzler AC, Tundisi JG (2000). Spatial heterogeneity of the Tucuruí Reservoir (State of Pará, Amazonia, Brazil) and the distribution of zooplanktonic species. Revista Brasileira de Biologia 60, 170-194. doi:10.1590/S0034-71082000000200001. Retrieved from https://doi.org/10.1590/S0034-71082000000200001 DOI: https://doi.org/10.1590/S0034-71082000000200001
Freire JCA, Hauser Davis RA, Lobato TC, Jefferson M. de, Morais TFO, Saraiva ACF (2017) Influence of the Amazon hydrological regime on eutrophication indicators of a hydroelectric power plant reservoir. Bull Environ Contam Toxicol 98, 677-681 doi: 10.1007/s00128-017-2030-9. Retrieved from https://doi.org/10.1007/s00128-017-2030-9 DOI: https://doi.org/10.1007/s00128-017-2030-9
IANAS - Inter-American Network of Academies of Sciences (2019). Water Quality in the Americas Risks and Opportunities. IANAS-IAP, UNESCO and CODIA 626pp. Available from: Retrieved from https://www.interacademies.org/sites/default/files/publication/water_quality_in_the_americas.pdf.
Instituto Nacional de Pesquisas Espaciais (INPE) (2018). Catálogo de Imagens. Available from: Retrieved from http://www.dgi.inpe.br.
Kazi TG, Arain MB, Jamali M K, Jalbani N, Afridi H I, Sarfraz RA, Baig JA, Abdul QS (2009). Assessment of water quality of polluted lake using multivariate statistical techniques: A case study. Ecotoxicology and Environmental Safety 72, 301-309. doi:10.1016/j.ecoenv.2008.02.024. Retrieved from https://doi.org/10.1016/j.ecoenv.2008.02.024 DOI: https://doi.org/10.1016/j.ecoenv.2008.02.024
Koppe VC, Costa JFCL, Koppe JC (2006). Coordenadas cartesianas x coordenadas geológicas em geoestatística: Aplicação à variável vagarosidade obtida por perfilagem acústica. REM: R. Esc. Minas 59, 25-30. doi:10.1590/S0370-44672006000100004. Retrieved from https://doi.org/10.1590/S0370-44672006000100004 DOI: https://doi.org/10.1590/S0370-44672006000100004
Lam KL, Zlatanovic L, Van Der Hoek JP (2020). Life cycle assessment of nutrient recycling from wastewater: A critical review. Water Research 173, 115519(1-16). doi:10.1016/j.watres.2020.115519. Retrieved from https://doi.org/10.1016/j.watres.2020.115519 DOI: https://doi.org/10.1016/j.watres.2020.115519
Li W, Zhang P, Ye J, Li L, Baker PA (2011). Impact of two different types of El Niño events on the Amazon climate and ecosystem productivity. J. Plant Ecol. 4 (1-2), 91-99. doi: 10.1093/jpe/rtq039. Retrieved from https://doi.org/10.1093/jpe/rtq039 DOI: https://doi.org/10.1093/jpe/rtq039
Lobato TC, Hauser-davis RA, Oliveira, TF, Silveira AM, Silva HAN, Tavares MRM, Saraiva ACF (2015). Construction of a novel water quality index and quality indicator for reservoir water quality evaluation: A case study in the Amazon region. J. Hydrol. (Amsterdam, Neth.) 522, 674-683. doi:10.1016/j.jhydrol.2015.01.021. Retrieved from https://doi.org/10.1016/j.jhydrol.2015.01.021 DOI: https://doi.org/10.1016/j.jhydrol.2015.01.021
Moreira, PF (2012). O Setor Elétrico Brasileiro e a Sustentabilidade no Século 21: Oportunidade e Desafios (2ª ed.). Brasília, DF, Brazil: Rios Internacionais, 19 pp.
Mulling BTM, Van Den Boomenb RM, Claassen THL, Van Der Geest HG, Kappelhof JWNM, Admiraal W (2013). Physical and biological changes of suspended particles in a free surface flow constructed wetland. Ecological Engineering 60, 10-18. doi:10.1016/j.ecoleng.2013.07.017 Retrieved from https://doi.org/10.1016/j.ecoleng.2013.07.017 DOI: https://doi.org/10.1016/j.ecoleng.2013.07.017
Neuman T (2012). Fundamentals of aquatic chemistry relevant to radionuclide behaviour in the environment. In: Poinssot, C.; Geckeis, H. (Ed.) Radionuclide behaviour in the natural environment: Science, implications and lessons for the nuclear industry. (Cambridge: Woodhead Publishing).
PDRS (2016). Plano de desenvolvimento regional sustentável do lago de Tucuruí. Governo do estado do Pará. Available from: Retrieved from http://www.mme.gov.br.
Peñas FJ, Barquín J, Álvarez C (2016). Assessing hydrologic alteration: Evaluation of different alternatives according to data availability. Ecological Indicators 60, 470-482. doi:10.1016/j.ecolind.2015.07.021. Retrieved from https://doi.org/10.1016/j.ecolind.2015.07.021 DOI: https://doi.org/10.1016/j.ecolind.2015.07.021
Piratoba ARA, Ribeiro HMC, Morales GP, Gonçalves WG (2017). Caracterização de parâmetros de qualidade da água na área portuária de Barcarena, PA. Revista Ambiente e Água 12, 435-456. doi:10.4136/ambi-agua.1910. Retrieved from https://doi.org/10.4136/ambi-agua.1910 DOI: https://doi.org/10.4136/ambi-agua.1910
Poff NL, Olden JD, Merritt DM, Pepin DM (2007). Homogenization of regional river dynamics by dams and global biodiversity implications. Proc. Natl. Acad. Sci. 104, 5732-5737. doi:10.1073/pnas.0609812104. Retrieved from https://doi.org/10.1073/pnas.0609812104 DOI: https://doi.org/10.1073/pnas.0609812104
Santos ES, Lopes PPP, Pereira HHS, Nascimento OO, Rennie CD, Sternberg LSLO'R, Cunha AC (2018). The impact of channel capture on estuarine hydro-morphodynamics and water quality in the Amazon delta. Science of the Total Environment 624, 887-899. doi:10.1016/j.scitotenv.2017.12.211. Retrieved from https://doi.org/10.1016/j.scitotenv.2017.12.211 DOI: https://doi.org/10.1016/j.scitotenv.2017.12.211
Santos KCF, Mitschein TA, Pereira SFP, Nogueira, DP, Silva CS (2014) Impacto ambiental da construção da UHE Belo Monte sobre a qualidade da agua do rio Xingu. Proceedings of International Conference on Engineering and Technology Education 13, 407-411. doi: 10.14684/INTERTECH.13.2014.407-411. Retrieved from https://doi.org/10.14684/intertech.13.2014.411-415 DOI: https://doi.org/10.14684/intertech.13.2014.411-415
Souza AMF, Pereira SFP, Santos LP, Silva CS, Rocha RM, Sousa RM, Nogueira DP (2021) Software for calculating a water quality indicator specific to the Amazon region. International Journal of Research-Granthaalayah 9(3), 248-261. doi:10.29121/granthaalayah.v9.i3.2021.3802. Retrieved from https://doi.org/10.29121/granthaalayah.v9.i3.2021.3802 DOI: https://doi.org/10.29121/granthaalayah.v9.i3.2021.3802
Sibaldelli RNR, Carvalho JFC, Oliveira MCN (2015). Uso de Geoestatística no Estudo da Variabilidade Espacial da Capacidade de Troca de Cátions do Solo. Gl. Sci Technol, 8, 141-156. doi: 10.14688/1984-3801/gst.v8n1p141-156 Retrieved from https://doi.org/10.14688/1984-3801/gst.v8n1p141-156 DOI: https://doi.org/10.14688/1984-3801/gst.v8n1p141-156
Silva SA, Lima JSS, Souza GS (2010). Estudo da fertilidade de um latossolo vermelho-amarelo húmico sob cultivo de café arábica por meio de geoestatística. Rev. Ceres 57, 560-567. doi:10.1590/S0034-737X2010000400020. Retrieved from https://doi.org/10.1590/S0034-737X2010000400020 DOI: https://doi.org/10.1590/S0034-737X2010000400020
Tubenchlak F, Badari CG, Freitas SG, Moraes LFD (2021). Changing the Agriculture Paradigm in the Brazilian Atlantic Forest: The Importance of Agroforestry. In: Marques M.C.M., Grelle C.E.V. (eds) The Atlantic Forest. Springer, Cham. doi: 10.1007/978-3-030-55322-7_17. Retrieved from https://doi.org/10.1007/978-3-030-55322-7_17 DOI: https://doi.org/10.1007/978-3-030-55322-7_17
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Thiago de Melo e Silva, Simone de Fátima Pinheiro Pereira, Kellen Heloizy Garcia Freitas, Pedro Moreira de Sousa Junior, Cléber Silva e Silva, Davis Castro dos Santos, Ronaldo Magno Rocha, Alan Marcel Fernandes de Souza, Daniel Pinheiro Nogueira
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.