Morphometric characterization of the Todos os Santos river basin in Minas Gerais – Brazil
Keywords:
Hydrographic basin, Topography, Relief, Todos os Santos riverAbstract
This study aimed to morphometric characterization of the watershed of the Todos os Santos River (TSR), located in the northeast of Minas Gerais in Brazil. The Todos os Santos River is one of the most important tributaries of the Mucuri River in the Mucuri Valley. Based on the digital elevation model, known as SRTM (Shuttle Radar Topography Mission) the data were processed in open software to obtain the slope, elevations and aspect values, in addition to delineate the watershed and extracting the streams, which presented through maps, tables and graphs. Furthermore, the whole proceed data were reclassified in a new data range (called classes) according to different criteria for each type of data. The TSR basin has an altimetric amplitude of 830m. The biggest elevation area is class 3 (range: 300 to 400m) with 604.78 km², that represents 27.53% of the total area of the watershed. The most predominant slope is undulating relief, corresponding 49.67% (1091 km²) of the TSR watershed total area. About the aspects (slope orientation) there is trend direction to NE-SW but, the distribution of the aspect classes throughout the river basin showing a balance in the distribution of the slope directions. The results also indicated that the headwaters of the TSR have a higher slope variation after this point, the river shows uniformity behavior. The results accomplished may serve as a guide for other works in the TSR watershed and similar regions.
References
Anbazhagan, S., Subramanian, S.K. and Yang, X., 2011. Geoinformatics in Applied Geomorphology. CRC Press, Taylor & Francis Group, Danvers, MA.
Arabameri, A., Tiefenbacher, J.P., Blaschke, T., Pradhan, B. and Bui, D.T., 2020. Morphometric Analysis for Soil Erosion Susceptibility Mapping Using Novel GIS-Based Ensemble Model. Remote sesing 12, pp.874. https://doi.org/10.3390/rs12050874
Cassettari, G.A. and Queiroz, T.M., 2019. Morphometric Characterization of the Hydrographic Basin of Jauquara River in the Transition Between the Cerrado and Amazon Biomes in Mato Grosso-Brazil. Floresta, 49 (2), pp.325-334. http://dx.doi.org/10.5380/rf.v49i2.58166
Cunha, E.R. and Bacani, V.M., 2016. Morphometric Characterization of a Watershed through SRTM Data and Geoprocessing Technique. Journal of Geographic Information System 8, pp.238-247. http://dx.doi.org/10.4236/jgis.2016.82021
Deng, Y., 2007. New trends in digital terrain analysis: landform definition, representation and classification. Progress in Physical Geography, 31(4), pp.405-419. https://doi.org/10.1177/0309133307081291
Embrapa – Empresa Brasileira de Pesquisa Agropecuária, 1979. Súmula da X reunião técnica de levantamento de solos. In: Serviço Nacional de Levantamento e Conservação de Solos, p.27. Rio de Janeiro.
Florenzano, T.G. eds., 2008. Geomorfologia: Conceitos e Tecnologias Atuais. São Paulo: Oficina de Textos.
Fryirs, K.A. and Brierley, G.J., 2013. Geomorphic analysis of river systems: an approach to reading the landscape. John Wiley & Sons.
Göbel, C.F., 2012. Estimativa do Balanço de Massa da porção norte da Península Antártica pelo uso de imagens do sensor ASTER. Dissertação apresentada no Mestrado em Oceanografia Química, Física e Geológica da Universidade Federal do Rio Grande.
Gomes, J.L.S., 2017. Relevo e drenagem da bacia hidrográfica do Rio Todos os Santos. Revista do Instituto Histórico e Geográfico do Mucuri, 2, pp.80-87.
Gomes, J.L.S. e Gomes, A.J.L., 2015. Morfometria do Município de Jenipapo de Minas no Vale do Jequitinhonha. Vozes dos Vales, IV(8), pp.1-15.
Hengl, T., Gruber, S. and Shrestha, D.P., 2004. Reduction of errors in digital terrain parameters used in soil-landscape modelling. International Journal of Applied Earth Observation and Geoinformation, 5(2), pp.97-112. https://doi.org/10.1016/j.jag.2004.01.006
Jenson, S.K. and Domingue, J.O., 1988. Extracting topographic structure from digital elevation data for geographic information system analysis. Photogrammetric Engineering and Remote Sensing, 54, pp.1593-1600.
Leopold, L.B., Wolman, J.P. and Miller, J.P., 1992. Fluvial processes in geomorphology. New York: Dover publications.
Listyani, T.R.A., 2019. Criticise of Van Zuidam Classification: A Purpose of Landform Unit. Prosiding Nasional Rekayasa Teknologi Industri dan Informasi (ReTII), XIV, pp.332-337.
Patel, D., Dholakia, M., Naresh, N. and Srivastava, P., 2012. Water Harvesting Structure Positioning by Using GeoVisualization Concept and Prioritization of Mini-Watersheds through Morphometric Analysis in the Lower Tapi Basin. J. Indian Soc. Remote Sens., 40, pp.299-312. https://doi.org/10.1007/s12524-011-0147-6
Strahler, A.N., 1952. Hypsometric (area-altitude) analysis of erosional topology. Geological Society of America Bulletin 63(11), pp.1117-1142. https://doi.org/10.1130/0016-7606(1952)63[1117:HAAOET]2.0.CO;2
Strahler, A.N., 1957. Quantitative analysis of watershed geomorphology. Transactions of the American Geophysical Union, New Harven, 38(6), pp.913-920. https://doi.org/10.1029/TR038i006p00913
Tarboton, D.G., 1997. A new method for the determination of flow directions and upslope areas in grid digital elevation models. Water Resources Research, 33, pp.309-319. https://doi.org/10.1029/96WR03137
Van Zuidam, R.A., 1983. Guide to Geomorphologic Aerial Photographic Interpretation & Mapping. Netherlands: International Institute for Aerial Survey and Earth Sciences (ITC).
Van Zuidam, R.A. and Van Zuidam-Cancelado, F.I., 1979. Terrain Analysis and Classification using Aerial Photographs. Tectbook VII-6, Netherland: International Institute for Aerial Survey and Earth Sciences (ITC).
Wang, L., and Liu, H., 2006. An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling. International Journal of Geographical Information Science, 20, pp.193-213. https://doi.org/10.1080/13658810500433453
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