COMPARATIVE ANALYSIS FOR VOLUME ESTIMATION IN SMALL DAMS USING CONVENTIONAL BATHYMETRY AND REMOTE SENSING
Visualizações: 144DOI:
https://doi.org/10.61389/geofronter.v10.8858Keywords:
Geoprocessing, Landsat, Google Earth Pro, Water management, QGISAbstract
The efficient management of water resources is a fundamental prerogative to guarantee sustainable development, especially in regions dependent on small dams to retain and dispose of water. These structures play an essential role in various activities, from providing drinking water to supporting agriculture. Within the scope of water management, the precise determination of the volume of water retained in dams is a critical aspect, directly influencing decisions related to the sustainable use of these resources. This study aimed to carry out a comparative analysis between conventional bathymetry and remote sensing, aiming to evaluate their accuracy in determining the accumulated volume of water in small dams. It was observed that both remote sensing methods II and III presented an overestimation of the volume accumulated in dams compared to conventional bathymetry. Method II demonstrated superior precision, with an error varying between 3.22% and 30.22%, which decreased as the area increased. On the other hand, method III presented an error ranging between 20.68% and 43.12%, following a similar pattern to that of method II in relation to the increase in area. It is concluded that remote sensing presents itself as a valid approach for estimating the water surface and accumulated volume, especially in small dams, being useful for preliminary and environmental studies in areas with low sediment deposition and no vegetation invasion, since conventional bathymetry often proves to be costly and logistical, especially in situations where access and size are challenging.
References
ALVARES, C. A., STAPE, J. L., SENTELHAS, P. C., GONÇALVES, J. D. M., SPAROVEK, G. Köppen’s climate classification map for Brazil. Meteorologische zeitschrift, v. 22, n. 6, p. 711-728, 2013. DOI: https://doi.org/10.1127/0941-2948/2013/0507
ALVES, F. M., LEHNI, C. R., DAMASCENO-JÚNIOR, G. A., SARTORI, A. L. B., POTT, A., POTTI, V. J., BORTOLOTTO, I. M., ISHII, I. H., SALIS, S. M., URBANETZ, C., BUENO, M. L., SCIAMARELLI, A. Coleções Botânicas do estado de Mato Grosso do Sul: situação atual e perspectivas. Iheringia, Série Botânica., [S. l.], v. 73, p. 93–100, 2018. DOI: 10.21826/2446-8231201873s93. DOI: https://doi.org/10.21826/2446-8231201873s93
ANDERSON, T. W., DARLING, D. A. A test of goodness of fit. Journal of the American Statistical Association, 49, 765–769, 1954. DOI: https://doi.org/10.1080/01621459.1954.10501232
ANDRADE, L. C. D., FERREIRA, I. O., GIBRIM, V. T., SANTOS, F. C. M. On the use of artificial neural networks in remotely piloted aircraft acquired images for estimating reservoir’s bathymetry. Boletim de Ciências Geodésicas, 28, e2022006, 2022. DOI: https://doi.org/10.1590/s1982-21702022000100006
ANDRADE, L. C., FERREIRA, I. O., MEDEIROS, N. G., FONSECA, I. G. R. Viabilidade de uso de imagens de RPA’s para extração da batimetria em reservatórios de água rasos. Editora Unesc. DOI http://dx.doi.org/10.18616/geop06. p. 165-175, 2020. DOI: https://doi.org/10.18616/geop06
BECK, H. E., ZIMMERMANN, N. E., MCVICAR, T. R., VERGOPOLAN, N., BERG, A., WOOD, E. F. Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific data, v. 5, n. 1, p. 1-12, 2018. DOI: https://doi.org/10.1038/sdata.2018.214
BUENO, M. L., DE OLIVEIRA-FILHO, A. T., PANTARA, V., POTT, A., DAMASCENO-JUNIOR, G. A. Flora arbórea do Cerrado de Mato Grosso do Sul. Iheringia, Série Botânica., [S. l.], v. 73, p. 53–64, 2018. DOI: 10.21826/2446-8231201873s53. DOI: https://doi.org/10.21826/2446-8231201873s53
CABALLERO, I., STUMPF, R. P. Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission. Remote Sensing. 1-5, 2020. DOI: https://doi.org/10.3390/rs12030451
CAPOANE, V. Classificação automatizada do relevo da bacia hidrográfica do Córrego Lajeado, Campo Grande, Mato Grosso do Sul. Boletim de Geografia, v. 41, 2023. DOI: https://doi.org/10.4025/bolgeogr.v41.a2023.e64472
CARMO, E. J.; RODRIGUES, D. D.; SANTOS, G. R. dos. Avaliação dos interpoladores Krigagem e Topo to Raster para geração de modelos digitais de elevação a partir de um “as built”. Boletim de Ciências Geodésicas, Curitiba, v. 21, n. 4, p. 674-690, 2015. DOI: https://doi.org/10.1590/S1982-21702015000400039
FERREIRA, I. O.; EMILIANO, P. C.; SANTOS, A. de P. dos; MEDEIROS, N. das G.; OLIVEIRA, J. C. de. Proposição de um Estimador Pontual para Incerteza Vertical de Levantamentos Hidrográficos. Revista Brasileira de Cartografia, v. 71, n. 1, p. 1-30, 2019. DOI: https://doi.org/10.14393/rbcv71n1-44096
FERREIRA, I. O.; NETO, A. A.; MONTEIRO, C. S. O uso de embarcações não tripuladas em levantamentos batimétricos. Revista Brasileira de Cartografia, Rio de Janeiro, v. 68, n. 10, p. 1885-1903, 2016. DOI: https://doi.org/10.14393/rbcv68n10-44290
JARQUE, C. M., BERA, A. K. A Test for Normality of Observations and Regression Residuals. International Statistical Review, 55, 163-172, 1987. DOI: https://doi.org/10.2307/1403192
JULIAN, C., NUNES, J. O. R. Uso de VANT e geoprocessamento para cálculo de solo erodido em voçoroca localizada no distrito de Amadeu Amaral, Marília/SP –Brasil. Revista Brasileira de Geomorfologia 21, 4, 1-11, 2020. DOI: https://doi.org/10.20502/rbg.v21i4.1818
KHOMSIN, PRATOMO, D. G., SAPUTRO I. Comparative analysis of singlebeam and multibeam echosounder bathymetric data. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2021. p. 012015. DOI: https://doi.org/10.1088/1757-899X/1052/1/012015
LANDSAT 8 OLI. U.S.G.S. Department of the Interior U.S. Geological Survey. Available in: <https://earthexplorer.usgs.gov/>. Access in: fevereiro de 2024.
LIMA, B. D. S., SILVA, C. A. D. As paisagens e as potencialidades de turismo de natureza da feição central da Serra Maracaju, Mato Grosso do Sul, Brasil. Revista Geográfica de América Central, n. 69, p. 313-334, 2022. DOI: https://doi.org/10.15359/rgac.69-2.11
LIMA, B. D. S., SILVA, C. A. D., BOIN, M. N., MEDEIROS, R. B. As paisagens e as dinâmicas territoriais na Serra de Maracaju, Mato Grosso do Sul, Brasil. Cuadernos de Geografía: Revista Colombiana de Geografía, v. 29, n. 1, p. 224-241, 2020. DOI: https://doi.org/10.15446/rcdg.v29n1.75016
MARQUES, G. M., PESSI, D. D., HAUPENTHAL, M. R., RODRIGUES, M. G. Estimativa de volume de reservatório de água com software livre através de dados obtidos com embarcação remotamente pilotada. Revista Brasileira de Geografia Física, 14 (7), 3804-3813, 2021. DOI: https://doi.org/10.26848/rbgf.v14.7.p3804-3813
MATEO-PEREZ, V., CORREAL-BOBADILLA, M., ORTEGA-FERNÁNDEZ, F., VERGARA-GONZÁLEZ, E. P. Port Bathymetry Mapping Using Support Vector Machine Technique and Sentinel-2 Satellite Imagery. Remote sensing, 1-5, 2020. DOI: https://doi.org/10.3390/rs12132069
MATO GROSSO DO SUL, SEMAC/IMASUL. Secretaria de Estado de Meio Ambiente, do Planejamento, da Ciência e Tecnologia/Instituto de Meio Ambiente de Mato Grosso do Sul. Plano estadual de recursos hídricos de Mato Grosso do Sul -PERH-MS. Campo Grande: Editora UEMS, 2010. 194p.
NASA - National Aeronautics and Space Administration - Shuttle Radar Topographic Mission. 2003. Available in: <http://www-radar.jpl.nasa.gov/srtm>. Access in: fevereiro de 2024.
PIRAJÁ, R. V., PARANHOS FILHO, A. C., SILVA, M. H. S. da. Taxonomia do relevo do estado de Mato Grosso do Sul e da bacia hidrográfica do rio Taboco. Geofronter, [S. l.], v. 6, n. 1, 2020.
QGIS Development Team. QGIS versão 3.16.15 Hannover, 2021. Available in: <https://www.qgis.org/en/site/forusers/download.html>. Access in: fevereiro de 2024.
RODRIGUES, L. N., SANO E. E., STEENHUIS, T. S., PASSO, D. P. Estimation of small reservoir storage capacities with remote sensing in the Brazilian Savannah Region. Water resources management, v. 26, p. 873-882, 2012. DOI: https://doi.org/10.1007/s11269-011-9941-8
SHAPIRO, S. S., WILK, M. B. An Analysis of Variance Test for Normality. Biometrika, 52, 591-611, 1965. DOI: https://doi.org/10.1093/biomet/52.3-4.591
Downloads
- Artigo 114
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Os autores concedem à revista GEFRONTER os direitos autorais sobre o texto aceito para publicação. Autorizações especiais podem ser concedidas mediante aceite do editor do periódico.