Water quality assessment of the Educandos basin in Manaus, Brazil: use of the water quality index and multivariate statistical techniques.
Avaliação da qualidade das águas da bacia de Educandos em Manaus, Brasil: uso do índice de qualidade da água e de técnicas estatísticas multivariadas.
Palavras-chave:
Amazon basin, Educandos basin, Surface waters, Urban basinsResumo
The city of Manaus has undergone an industrialization process that has negatively influenced the wastewater that makes up the urban part of the city. Monitoring water quality parameters and seasonal changes are essential for decision-making for the recovery of the basin's waters. The study evaluated, through the Water Quality Index (WQI) and multivariate statistical techniques, the seasonal and spatial variation in water quality in the Educandos basin, Manaus. The 14 sampling points were selected in the years 2020, 2021 and 2022. The analyzes followed the recommendations of the Stantard Methods for the Examination of Water and Wastewater. The IQA showed that seasonality has not been enough to cause an improvement in water quality. Cluster analysis ranked similar sample points in relation to water quality. The main component showed that turbidity, total solids and biological oxygen demand are the most relevant parameters for PC1, while for PC2 they were Total Coliforms, Total Nitrogen and pH. The multivariate analysis proved to be efficient for monitoring the basin, considering the process of environmental deterioration, resulting from the receipt of waste of mixed domestic and industrial origin.
Downloads
Referências
Adjovu, G. E., Stephen, H., James, D., & Ahmad, S. (2023). Overview of the Application of Remote Sensing in Effective Monitoring of Water Quality Parameters. Remote Sensing, 15(7), 1938. https://doi.org/10.3390/rs15071938
Akhtar, N., Syakir Ishak, M. I., Bhawani, S. A., & Umar, K. (2021). Various Natural and Anthropogenic Factors Responsible for Water Quality Degradation: A Review. Water, 13(19), 2660. https://doi.org/10.3390/w13192660
ANA. (2009). Índice de qualidades das águas. Portal da qualidade das águas. Agência Nacional Das Águas.
APHA/AWWA/WEF. (2017). Standard Methods for the Examination of Water and Wastewater. (23rd ed.). American Public Health Association, American Water Works Association, Water Environment Federation.
Barakat, A., el Baghdadi, M., Rais, J., Aghezzaf, B., & Slassi, M. (2016). Assessment of spatial and seasonal water quality variation of Oum Er Rbia River (Morocco) using multivariate statistical techniques. International Soil and Water Conservation Research, 4(4), 284–292. https://doi.org/10.1016/j.iswcr.2016.11.002
Blume, KK., Macedo, JC., Meneguzzi, A., Silva, LB., Quevedo, DM., & Rodrigues, M. (2010). Water quality assessment of the Sinos River, Southern Brazil. Brazilian Journal of Biology, 70(4 suppl), 1185–1193. https://doi.org/10.1590/S1519-69842010000600008
Brasil. (2005). Vigilância em Saúde Ambiental. In Ministério da Saúde. Secretaria de Vigilância em Saúde. (Vol. 1, pp. 1–28). Editora do Ministério da Saúde.
Cavalcante, L. R. (2020). ZONA FRANCA DE MANAUS: uma revisão sistemática de impactos. InterEspaço: Revista de Geografia e Interdisciplinaridade, 5(19), 202001. https://doi.org/10.18764/2446-6549.e202001
CETESB. (2015). Qualidades da Águas Superficiais no Estado de São Paulo. Governo Do Estado de São Paulo.
Chagas, V. B. P., Chaffe, P. L. B., & Blöschl, G. (2022). Climate and land management accelerate the Brazilian water cycle. Nature Communications, 13(1), 5136. https://doi.org/10.1038/s41467-022-32580-x
Chidiac, S., El Najjar, P., Ouaini, N., El Rayess, Y., & El Azzi, D. (2023). A comprehensive review of water quality indices (WQIs): history, models, attempts and perspectives. Reviews in Environmental Science and Bio/Technology, 22(2), 349–395. https://doi.org/10.1007/s11157-023-09650-7
Fan, X., Cui, B., Zhao, H., Zhang, Z., & Zhang, H. (2010). Assessment of river water quality in Pearl River Delta using multivariate statistical techniques. Procedia Environmental Sciences, 2, 1220–1234. https://doi.org/10.1016/j.proenv.2010.10.133
Fernandes, V. R. (2016). Impactos Socioambientais causados pelas cheias excepcionais do Rio Negro em Manaus - AM ocorridas entre 1950 a 2015. Universidade Federal do Amazonas - UFAM.
Ferronato, N., & Torretta, V. (2019). Waste Mismanagement in Developing Countries: A Review of Global Issues. International Journal of Environmental Research and Public Health, 16(6), 1060. https://doi.org/10.3390/ijerph16061060
Finkler, N. R., Peresin, D., Cocconi, J., Bortolin, T. A., Rech, A., & Schneider, V. E. (2015). Qualidade da água superficial por meio de análise do componente principal. Ambiente e Agua - An Interdisciplinary Journal of Applied Science, 10(4). https://doi.org/10.4136/ambi-agua.1468
Girardi, R., Pinheiro, A., Garbossa, L. H. P., & Torres, É. (2016). Water quality change of rivers during rainy events in a watershed with different land uses in Southern Brazil. RBRH, 21(3), 514–524. https://doi.org/10.1590/2318-0331.011615179
Horbe, A. M. C., Gomes, I. L. F., Miranda, S. F., & Silva, M. do S. R. da. (2005). Contribuição à hidroquímica de drenagens no Município de Manaus - AM. Acta Amazonica, 35(2), 119–124. https://doi.org/10.1590/S0044-59672005000200002
Hu, Y., Li, Y., Li, Y., Wu, J., Zheng, H., & He, H. (2023). Balancing urban expansion with a focus on ecological security: A case study of Zhaotong City, China. Ecological Indicators, 156, 111105. https://doi.org/10.1016/j.ecolind.2023.111105
Kar, A. K., Mishra, A. C., & Mohanty, S. K. (2023). An efficient entropy based dissimilarity measure to cluster categorical data. Engineering Applications of Artificial Intelligence, 119, 105795. https://doi.org/10.1016/j.engappai.2022.105795
Koklu, R., Sengorur, B., & Topal, B. (2010). Water Quality Assessment Using Multivariate Statistical Methods—A Case Study: Melen River System (Turkey). Water Resources Management, 24(5), 959–978. https://doi.org/10.1007/s11269-009-9481-7
Kothari, V., Vij, S., Sharma, S., & Gupta, N. (2021). Correlation of various water quality parameters and water quality index of districts of Uttarakhand. Environmental and Sustainability Indicators, 9, 100093. https://doi.org/10.1016/j.indic.2020.100093
Liu, C.-W., Lin, K.-H., & Kuo, Y.-M. (2003). Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan. Science of The Total Environment, 313(1–3), 77–89. https://doi.org/10.1016/S0048-9697(02)00683-6
Liu, J., Zhang, D., Tang, Q., Xu, H., Huang, S., Shang, D., & Liu, R. (2021a). Water quality assessment and source identification of the Shuangji River (China) using multivariate statistical methods. PLOS ONE, 16(1), e0245525. https://doi.org/10.1371/journal.pone.0245525
Liu, J., Zhang, D., Tang, Q., Xu, H., Huang, S., Shang, D., & Liu, R. (2021b). Water quality assessment and source identification of the Shuangji River (China) using multivariate statistical methods. PLOS ONE, 16(1), e0245525. https://doi.org/10.1371/journal.pone.0245525
Lloyd, D. S. (1987). Turbidity as a Water Quality Standard for Salmonid Habitats in Alaska. North American Journal of Fisheries Management, 7(1), 34–45. https://doi.org/10.1577/1548-8659(1987)7<34:TAAWQS>2.0.CO;2
Lopes, H. E. G., & Gosling, M. de S. (2021). Cluster Analysis in Practice: Dealing with Outliers in Managerial Research. Revista de Administração Contemporânea, 25(1). https://doi.org/10.1590/1982-7849rac2021200081
Maciel F. B. 2016. Precarious settlements: the case of Manaus. Characterization and Typology of Precarious Settlements: Brazilian case studies. Institute of Economic and Applied Research – IPEA. Brasilia. p 249 – 306.
Maia, K. P., Silva, G. A. da, & Libânio, M. (2019). Aplicação de análise multivariada no estudo da frequência de amostragem e do número de estações de monitoramento de qualidade da água. Engenharia Sanitaria e Ambiental, 24(5), 1013–1025. https://doi.org/10.1590/s1413-41522019175743
Motlagh, A. M., & Yang, Z. (2019). Detection and occurrence of indicator organisms and pathogens. Water Environment Research, 91(10), 1402–1408. https://doi.org/10.1002/wer.1238
Naouali, S., Ben Salem, S., & Chtourou, Z. (2020). Clustering Categorical Data: A Survey. International Journal of Information Technology & Decision Making, 19(01), 49–96. https://doi.org/10.1142/S0219622019300064
Naubi, I., Zardari, N. H., Shirazi, S., Ibrahim, F., & Baloo, L. (2016). Effectiveness of Water Quality Index for Monitoring Malaysian River Water Quality. Polish Journal of Environmental Studies, 25(1), 231–239. https://doi.org/10.15244/pjoes/60109
Neves, G. L., Guimarães, T. T., Anjinho, P. S., Barbosa, M. A. G. A., Santos, A. R. dos, Virgens Filho, J. S., & Mauad, F. F. (2021). Spatial and Seasonal Assessment of Water Quality in the Lobo Stream River Basin, Brazil Using Multivariate Statistical Techniques. Anais Da Academia Brasileira de Ciências, 93(suppl 4). https://doi.org/10.1590/0001-3765202120210072
Ouyang, Y. (2005). Evaluation of river water quality monitoring stations by principal component analysis. Water Research, 39(12), 2621–2635. https://doi.org/10.1016/j.watres.2005.04.024
Parida, V. K., Sikarwar, D., Majumder, A., & Gupta, A. K. (2022). An assessment of hospital wastewater and biomedical waste generation, existing legislations, risk assessment, treatment processes, and scenario during COVID-19. Journal of Environmental Management, 308, 114609. https://doi.org/10.1016/j.jenvman.2022.114609
Pinto, F. P., Tormam, M. F., Bork, C. K., Guedes, H. A. S., & Silva, L. B. P. da. (2020). Seasonal assessment of water quality parameters in Mirim Lagoon, Rio Grande do Sul State, Brazil. Anais Da Academia Brasileira de Ciências, 92(3). https://doi.org/10.1590/0001-3765202020181107
R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing. (4.0.2).
Rocha, B. N., Bellato, F. C., Arantes, C. C., & de Jesus, T. A. (2022b). Four-Month Assessment of Water Quality in a Channeled Urban Stream in São Paulo State, Brazil. Water, Air, & Soil Pollution, 233(3), 73. https://doi.org/10.1007/s11270-022-05553-5
Rodrigues, V., Estrany, J., Ranzini, M., de Cicco, V., Martín-Benito, J. M. T., Hedo, J., & Lucas-Borja, M. E. (2018). Effects of land use and seasonality on stream water quality in a small tropical catchment: The headwater of Córrego Água Limpa, São Paulo (Brazil). Science of The Total Environment, 622–623, 1553–1561. https://doi.org/10.1016/j.scitotenv.2017.10.028
Shrestha, S., & Kazama, F. (2007). Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan. Environmental Modelling & Software, 22(4), 464–475. https://doi.org/10.1016/j.envsoft.2006.02.001
Silva, M. P., Cavalli, D. R., & Oliveira, T. C. R. M. (2006). Avaliação do padrão coliformes a 45oC e comparação da eficiência das técnicas dos tubos múltiplos e Petrifilm EC na detecção de coliformes totais e Escherichia coli em alimentos. Ciência e Tecnologia de Alimentos, 26(2), 352–359. https://doi.org/10.1590/S0101-20612006000200018
Singh, K. P., Malik, A., Mohan, D., & Sinha, S. (2004). Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)—a case study. Water Research, 38(18), 3980–3992. https://doi.org/10.1016/j.watres.2004.06.011
Singh, K. P., Malik, A., & Sinha, S. (2005). Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques—a case study. Analytica Chimica Acta, 538(1–2), 355–374. https://doi.org/10.1016/j.aca.2005.02.006
Souza de Macena, L. S., & Costa, R. C. (2012). A cidade como espaço de risco: estudo em bacias hidrográfica de Manaus, Amazonas - BR. Revista Geonorte, 1(4), 318–330.
Stanganini, F. N., & Lollo, J. A. de. (2018). O crescimento da área urbana da cidade de São Carlos/SP entre os anos de 2010 e 2015: o avanço da degradação ambiental. Urbe. Revista Brasileira de Gestão Urbana, 10(suppl 1), 118–128. https://doi.org/10.1590/2175-3369.010.supl1.ao14
Teixeira de Souza, A., Carneiro, L. A. T. X., da Silva Junior, O. P., de Carvalho, S. L., & Américo-Pinheiro, J. H. P. (2021). Assessment of water quality using principal component analysis: a case study of the Marrecas stream basin in Brazil. Environmental Technology, 42(27), 4286–4295. https://doi.org/10.1080/09593330.2020.1754922
Uddin, Md. G., Nash, S., & Olbert, A. I. (2021). A review of water quality index models and their use for assessing surface water quality. Ecological Indicators, 122, 107218. https://doi.org/10.1016/j.ecolind.2020.107218
Viana, M. C. (2018). Study of contaminants in water, total suspended solids and sediments from streams in the urban area of Manaus-Amazonas. [Master’s]. University Federal do Amazonas.
Von Sperling, M. (2005). Introduction to water quality and sewage treatment. (4a). UFMG.
Wei, L., Zhou, L., Sun, D., Yuan, B., & Hu, F. (2022). Evaluating the impact of urban expansion on the habitat quality and constructing ecological security patterns: A case study of Jiziwan in the Yellow River Basin, China. Ecological Indicators, 145, 109544. https://doi.org/10.1016/j.ecolind.2022.109544
Yu, C., Huang, X., Chen, H., Godfray, H. C. J., Wright, J. S., Hall, J. W., Gong, P., Ni, S., Qiao, S., Huang, G., Xiao, Y., Zhang, J., Feng, Z., Ju, X., Ciais, P., Stenseth, N. Chr., Hessen, D. O., Sun, Z., Yu, L., … Taylor, J. (2019). Managing nitrogen to restore water quality in China. Nature, 567(7749), 516–520. https://doi.org/10.1038/s41586-019-1001-1
Yunus, A. J. M., & Nakagoshi, N. (2004). Effects of seasonality on streamflow and water quality of the Pinang River in Penang Island, Malaysia. Chinese Geographical Science, 14(2), 153–161. https://doi.org/10.1007/s11769-004-0025-z