Usage of Spatial and Temporal Mapping as a Water Quality Management Tool in an Amazon Reservoir
DOI:
https://doi.org/10.26848/rbgf.v18.4.p2489-2501Palavras-chave:
Hydroelectric Power Plant, Monitoring, Amazon, Tocantins RiverResumo
Reservoirs are estimators for environmental balance. The isotherm maps help to visualize changes in water quality in reservoirs and are useful tools for monitoring physicochemical parameters. The objective of this work was to evaluate the use of geostatistical maps as a water quality management tool used in the seasonal and temporal evaluation of parameters: chloride, electrical conductivity, temperature, and total dissolved solids in the area of the Tucuruí hydroelectric power plant. The data were evaluated against descriptive statistics, the test, and the guarantee. The isotherm maps were developed using the Surfer 13 software to interpolate the spatial distribution of the data. Seasonality influenced all parameters studied, proving to be an important factor in changing water quality. The research also showed that the water quality of the Tocantins River is influenced by agriculture, the main human activity in the study area. The geostatistical maps are important water quality management tools and can be used in large areas such as hydroelectric reservoirs in the Amazon.
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APHA - American Public Health Association; AWWA - American Water Works Association; WEF - Water Environment Federation. Standard Methods for the Examination of Water and Wastewater (23th edition). American Public Health Association: Washington DC, 4-77, 2017
Arantes, C. C., Laufer, J., Mayer, A., Moran, E. F., Sant’ Anna, I. R. A., Dutka-Gianelli, J., Lopez, M. C., & Doria, C. R. C. , 2023. Large-scale hydropower impacts and adaptation strategies on rural communities in the Amazonian floodplain of the Madeira River. Journal of Environmental Management, 336, 117240. https://doi.org/10.1016/j.jenvman.2023.117240 DOI: https://doi.org/10.1016/j.jenvman.2023.117240
Asif, Z., Chen, Z., Sadiq, R., & Zhu, Y., 2023. Climate Change Impacts on Water Resources and Sustainable Water Management Strategies in North America. Water Resources Management, 37(6–7), 2771–2786. https://doi.org/10.1007/s11269-023-03474-4 DOI: https://doi.org/10.1007/s11269-023-03474-4
Bhateria, R., & Jain, D., 2016. Water quality assessment of lake water: a review. Sustainable Water Resources Management, 2(2), 161–173. https://doi.org/10.1007/s40899-015-0014-7 DOI: https://doi.org/10.1007/s40899-015-0014-7
Bomfim, F. F., Deosti, S., Louback-Franco, N., Sousa, R. L. M., & Michelan, T. S., 2023. How are zooplankton’s functional guilds influenced by land use in Amazon streams? PLOS ONE, 18(8), e0288385. https://doi.org/10.1371/journal.pone.0288385 DOI: https://doi.org/10.1371/journal.pone.0288385
Cao, Q., Yu, G., & Qiao, Z., 2023. Application and recent progress of inland water monitoring using remote sensing techniques. Environmental Monitoring and Assessment, 195(1), 125. https://doi.org/10.1007/s10661-022-10690-9 DOI: https://doi.org/10.1007/s10661-022-10690-9
Castro-Diaz, L., Lopez, M. C., Moore, S., Radonic, L., Hodbod, J., & Moran, E., 2024. Multidimensional and multitemporal energy injustices: Exploring the downstream impacts of the Belo Monte hydropower dam in the Amazon. Energy Research & Social Science, 113, 103568. https://doi.org/10.1016/j.erss.2024.103568 DOI: https://doi.org/10.1016/j.erss.2024.103568
Chamoli, A., Bhambri, A., Karn, S. K., & Raj, V., 2024. Ammonia, nitrite transformations and their fixation by different biological and chemical agents. Chemistry and Ecology, 40(2), 166–199. https://doi.org/10.1080/02757540.2023.2300780 DOI: https://doi.org/10.1080/02757540.2023.2300780
Chen, X., Wang, Y., Sun, T., Chen, Y., Zhang, M., & Ye, C., 2022. Evaluation and prediction of water quality in the dammed estuaries and rivers of Taihu Lake. Environmental Science and Pollution Research, 29(9), 12832–12844. https://doi.org/10.1007/s11356-020-12063-6 DOI: https://doi.org/10.1007/s11356-020-12063-6
Cintra, I. H. A.; Flexa, C. E.; Silva, M. B.; Araújo,M. V. L. F.; Silva, K. C. A., 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(1), 57–78.
CONAMA - National Environmental Council. Resolution CONAMA 357/2005. Available in http://conama.mma.gov.br/?option=com_sisconama&task=arquivo.download&id=450. Accessed in April 2024.
da Costa, H. C., Pereira, S. de F. P., Santos, L. P., de Oliveira, A. F. S., e Silva, T. de M., e Silva, C. S., Rocha, R. M., Freitas, K. H. G., Santos, D. C. dos, & Cruz, E. S., 2020. Chemometrics Applied in the Development of a Water Quality Indicator System for the Brazilian Amazon. ACS Omega, 5(51), 32899–32906. https://doi.org/10.1021/acsomega.0c03430 DOI: https://doi.org/10.1021/acsomega.0c03430
do Nascimento Monte, C., Correa Saldanha, E., Costa, I., Shinaigger Rocha do Nascimento, T., Santos Pereira, M., Farias Batista, L., & Costa Pinheiro, D., 2021. The physical-chemical characteristics of surface waters in the management of quality in clearwater rivers in the Brazilian Amazon. Water Policy, 23(5), 1303–1313. https://doi.org/10.2166/wp.2021.258 DOI: https://doi.org/10.2166/wp.2021.258
Edwards, M., Arnold, R., Rosenfeldt, B., Masters, S. v., Parks, J., & Tang, M., 2023. Utility considerations in developing a galvanized iron water pipe management plan. AWWA Water Science, 5(4). https://doi.org/10.1002/aws2.1350 DOI: https://doi.org/10.1002/aws2.1350
El-Rawy, M., Batelaan, O., Al-Arifi, N., Alotaibi, A., Abdalla, F., & Gabr, M., 2023. Climate Change Impacts on Water Resources in Arid and Semi-Arid Regions: A Case Study in Saudi Arabia. Water, 15(3), 606. https://doi.org/10.3390/w15030606 DOI: https://doi.org/10.3390/w15030606
Gobeze, A., Kaba, T., Tefera, M., Lijalem, T., Legesse, M., Engdaw, F., Mulu, M., Wubet, W., Adugna, A., & Guadie, A., 2023. Evaluation of water quality of Angereb reservoir: a chemometrics approach. Applied Water Science, 13(4), 103. https://doi.org/10.1007/s13201-023-01909-2 DOI: https://doi.org/10.1007/s13201-023-01909-2
Godoy, B. S., Ishihara, J. H., Aguiar, R. L., & Teixeira, O. N., 2023. 50 years of the water-flow variance in Tucuruí reservoir related with Brazilian energy consumption. Heliyon, 9(2), e12640. https://doi.org/10.1016/j.heliyon.2022.e12640 DOI: https://doi.org/10.1016/j.heliyon.2022.e12640
INPE - National Institute for Space Research. Available in https://www.gov.br/inpe/pt-br. Accessed in February 2024.
Li, J., Nie, M., Pendall, E., Reich, P. B., Pei, J., Noh, N. J., Zhu, T., Li, B., & Fang, C., 2020. Biogeographic variation in temperature sensitivity of decomposition in forest soils. Global Change Biology, 26(3), 1873–1885. https://doi.org/10.1111/gcb.14838 DOI: https://doi.org/10.1111/gcb.14838
Madyouni, H., Almanza, V., Benabdallah, S., Joaquim-Justo, C., Romdhane, M. S., Habaieb, H., & Deliege, J.-F., 2023. Assessment of Water Quality Variations and Trophic State of the Joumine Reservoir (Tunisia) by Multivariate Analysis. Water, 15(17), 3019. https://doi.org/10.3390/w15173019 DOI: https://doi.org/10.3390/w15173019
Rahman, Md. A., & Habiba, U., 2023. Groundwater quality evaluation and pollution source apportionment using multivariate statistical analyses in Chuadanga municipality, Bangladesh. HydroResearch, 6, 166–176. https://doi.org/10.1016/j.hydres.2023.05.001 DOI: https://doi.org/10.1016/j.hydres.2023.05.001
Raman, R. K., Bhor, M., Manna, R. K., Samanta, S., & Das, B. K., 2023. Statistical and geostatistical modelling approach for spatio-temporal assessment of river water quality: a case study from lower stretch of River Ganga. Environment, Development and Sustainability, 25(9), 9963–9989. https://doi.org/10.1007/s10668-022-02472-7 DOI: https://doi.org/10.1007/s10668-022-02472-7
Santos, D. C.; Pereira, S. F. P.; Oliveira, A. F. S.; Silva, T. M. E.; Silva, C. S.; Rocha, R. M.; Freitas, K. H.; Santos, L. P., 2019. Distribution of chemical parameters in the water of the Tucuruí Reservoir, Amazon Region - Brazil: influence of seasonality and depth of water column. Exatas Online, 10(2), 71–82.
Santos, L. P.; Pereira, S. F. P.; Souza Junior, P. M.; Silva, C. S., 2020. Avaliação da qualidade da água na Amazônia brasileira: estudo de caso na bacia do rio Peixe-Boi-PA. Revista Sodebrás, 15(180), 69–75. DOI: https://doi.org/10.29367/issn.1809-3957.15.2020.180.69
Sun, X., Zhang, Y., Shi, K., Zhang, Y., Li, N., Wang, W., Huang, X., & Qin, B., 2022. Monitoring water quality using proximal remote sensing technology. Science of The Total Environment, 803, 149805. https://doi.org/10.1016/j.scitotenv.2021.149805 DOI: https://doi.org/10.1016/j.scitotenv.2021.149805
Vargas-Tierras, T., Jiménez-Gutiérrez, M., Pastrano, S., Chávez, G., Morales-León, V., Morales-León, M., Paredes, F., & Vásquez-Castillo, W., 2024. Changes in Surface Water Quality of the El Salvador River in La Joya de los Sachas, Ecuadorian Amazon Region. Water, 16(9), 1259. https://doi.org/10.3390/w16091259 DOI: https://doi.org/10.3390/w16091259
Vieira Valadão, L., Fonseca, I. R. da, Cicerelli, R. E., Almeida, T. de, Garnier, J., & Sano, E. E., 2023. Temporal Dynamics of the Hydropower Water Reservoirs of the Tocantins–Araguaia Basin, Brazil, Based on Remote Sensing and Hydrometeorological Station Datasets. Water, 15(9), 1684. https://doi.org/10.3390/w15091684 DOI: https://doi.org/10.3390/w15091684
Wang, Y.-B., Junaid, M., Deng, J.-Y., Tang, Q.-P., Luo, L., Xie, Z.-Y., & Pei, D.-S., 2024. Effects of land-use patterns on seasonal water quality at multiple spatial scales in the Jialing River, Chongqing, China. CATENA, 234, 107646. https://doi.org/10.1016/j.catena.2023.107646 DOI: https://doi.org/10.1016/j.catena.2023.107646
Woolway, R. I., Kraemer, B. M., Lenters, J. D., Merchant, C. J., O’Reilly, C. M., & Sharma, S., 2020. Global lake responses to climate change. Nature Reviews Earth & Environment, 1(8), 388–403. https://doi.org/10.1038/s43017-020-0067-5 DOI: https://doi.org/10.1038/s43017-020-0067-5
Zhang, L., Zheng, Z., Xu, F., Zou, Y., Zeng, T., Li, S., & Fang, S., 2024. Analysis of water quality and trophic status of reservoirs in Chuzhou City, China. Ecohydrology, 17(3). https://doi.org/10.1002/eco.2629 DOI: https://doi.org/10.1002/eco.2629
Zhang, Y., An, C., Zheng, L., Liu, L., Zhang, W., Lu, C., & Zhang, Y., 2023. Assessment of lake area in response to climate change at varying elevations: A case study of Mt. Tianshan, Central Asia. Science of The Total Environment, 869, 161665. https://doi.org/10.1016/j.scitotenv.2023.161665 DOI: https://doi.org/10.1016/j.scitotenv.2023.161665
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