Applicability of sediment rating curves: analysis in the state of Rio Grande do Sul
DOI:
https://doi.org/10.26848/rbgf.v17.4.p3037-3051Palavras-chave:
Sediment transport, Suspended sediment concentration, Hydrological modeling.Resumo
The transport of sediments is present in all watercourses, occurring naturally, however, in different ways and characteristics. Its quantification in watersheds becomes extremely important for the planning and management of water resources. The sediment rating curve, which empirically describes the relationship between stream flow and suspended sediment concentration (Css), is an alternative tool to the lack of continuous monitoring of sediment transport. The aim of this research was to evaluate the use of rating curves in sedimentometric stations in Rio Grande do Sul, Brazil. Three Css data handling scenarios were tested for the analytical fitting of sediment rating curves considering a power function as follows: complete data sets, data sets subdivided into 10-year periods and subdivided into stream flow ranges. The approaches adopted in the present study were evaluated taking as reference 58 sedimentometric stations in the state. The goodness-of-fit tests used in this study - coefficient of determination, Relative Average Percentage Error and Nash Sutcliffe coefficient, indicated that the best results of the estimation of sediment transport were observed when the sediment rating curve was fitted to the 10-year period data set.
Downloads
Referências
ANA, National Water and Sanitation Agency. Inventário das Estações Fluviométricas: Superintendência de Gestão da Rede Hidrometeorológica. Avaiable in: <https://dadosabertos.ana.gov.br/documents/ae318ebacb4b41cda37fbdd82125078b/explore>.
Asadi, H., Dastorani, M. T., Sidle, R. C., Shahedi, K. (2021). Improving flow discharge- suspended sediment relations: Intelligent algorithms versus data separation. Water, 13, 3650. https://doi.org/10.3390/w13243650
Asselman, N. E. M. (2000). Fitting and interpretation of sediment rating curves. Journal of Hydrology, 234(3), 228-248. https://doi.org/10.1016/S0022-1694(00)00253-5
Barberena, I., Luquín, E., Campo-Bescós, M. A., Eslava, J., Giménez, R., Casalí, J. (2023). Challenges and progresses in the detailed estimation of sediment export in agricultural watersheds in Navarra (Spain) after two decades of experience. Environmental Research, 234, 116581. https://doi.org/10.1016/j.envres.2023.116581.
Bhattacharya, R. K.; Chatterjee, N. D; Das, K. (2024). Modelling of soil erosion susceptibility incorporating sediment connectivity and export at landscape scale using integrated machine learning, InVEST-SDR and Fragstats. Journal of Environmental Management, 353. https://doi.org/10.1016/j.jenvman.2024.120164.
Bihonegn, B.; Awoke, A. G. (2023). Evaluating the impact of land use and land cover changes on sediment yield dynamics in the upper Awash basin, Ethiopia the case of Koka reservoir. Heliyou, 9(12). https://doi.org/10.1016/j.heliyon.2023.e23049.
Billi, P; Spalevic, V. (2022). Suspended sediment yield in Italian rivers. Catena, 212. https://doi.org/10.1016/j.catena.2022.106119.
Blain, G. C., Camargo, M. B. P. (2012). Probabilistic structure of an annual extreme rainfall series of a coastal area of the State of São Paulo, Brazil. Revista Brasileira de Engenharia Agrícola, 32, 552-559. https://doi.org/10.1590/S0100-69162012000300014.
Blain, G. C., Meschiatti, M. C. (2014). Using multi-parameters distributions to assess the probability of occurrence of extreme rainfall data. Revista Brasileira de Engenharia Agrícola e Ambiental, 18, 307- 313. https://doi.org/10.1590/S1415-43662014000300010
Carvalho, N. O. Hidrossedimentologia Prática. 2ª. Ed. Rio de Janeiro: Interciência, 2008. 600p.
Cassalho, F., Beskow, S., Mello, C. R., Moura, M. M., Kerster, L., Avila, L. F. (2017). At-Site Flood Frequency Analysis Coupled with Multiparameter Probability Distributions. Water Resources Management, 32, 285-300. https://doi.org/10.1007/s11269-017-1810-7
Conh, T. A., Caulder, D. L., Gilroy, E. J., Zynjuk, L. D., Summers, R. M. (1992). The validity of a simple statistical model for estimating fluvial constituent loads: an empirical study involving nutrient loads entering Chesapeake Bay. Water Resources Research, 28, 2353–2363. https://doi.org/10.1029/92WR01008.
Dehghan-Souraki, D., López-Gómez, D., Bladé-Castellet, E., Larese, A., Sanz-Ramos, M. (2024). Optimizing sediment transport models by using the Monte Carlo simulation and deep neural network (DNN): A case study of the Riba-Roja reservoir. Environmental Modelling and Software, 175. https://doi.org/10.1016/j.envsoft.2024.105979
Dorneles, V. R., Damé, R. C. F., Gandra, C. F. A.T., Veber, P. M., Klumb, G. B., Ramirez, M. A. A. (2019). Modeling of probability in obtaining intensity- duration- frequency relationships of rainfall occurrence for Pelotas, RS, Brazil. Revista Brasileira de Engenharia Agrícola Ambiental, 23(7), 499-505. https://doi.org/10.1590/1807-1929/agriambi.v23n7p499-505
Feix, R. D., Leusin Júnior, S. (2019). Painel do agronegócio no Rio Grande do Sul. Porto Alegre: SEPLAG, Departamento de Economia e Estatística.
Fu, M., Fan, T., Ding, Z., Salih, S., Al-Ansari, N., Yaseen, Z. (2020). Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation. IEEE Access, 8, 32632-32651. https://doi.org/10.1109/ACCESS.2020.297440.
Gao, G., Fua, B., Zhanga, J., Mac, Y., Sivapaland, M. (2018). Multiscale temporal variability of flow-sediment relationships during the 1950s–2014 in the Loess Plateau, China. Journal of Hydrology, 563, 609-619. https://doi.org/10.1016/j.jhydrol.2018.06.044.
Gao, G., Ning, Z., Li, Z., Fu, B. (2008). Prediction of long-term inter-seasonal variations of streamflow and sediment load by state-space model in the Loess Plateau of China. Journal of Hydrology, v.600, 2021.https://doi.org/10.1016/j.jhydrol.2021.126534
Gao, P., Deng, J., Chai, X., Mu, X., Zhao, G., Shao, H., Sun, W. Dynamic sediment discharge in the Hekou–Longmen region of Yellow River and soil and water conservation implications. Science Total Environmental, v.578, p.56-66, 2017. https://doi.org/10.1016/j.scitotenv.2016.06.128.
Ghafari, H., Gorji, M., Arabkhedri, M., Roshani, G. A., Heidari, A., Akhavan, S. Identification and prioritization of critical erosion areas based on onsite and offsite effects. Catena, v.156, p.1-9, 2017. https://doi.org/10.1016/j.catena.2017.03.014.
Girolamo, A. M., Di Pillo, R., Lo Porto, A., Todisco, M. T., Barca, E. Identifying a reliable method for estimating suspended sediment load in a temporary river system. Catena, v.165, p.442-453, 2018. https://doi.org/10.1016/j.catena.2018.02.015.
Girolamo, A. M., Pappagallo, A., Lo Porto. Temporal variability of suspended sediment transport and rating curves in a Mediterranean river basin: The Celone (SE Italy). Catena, v. 128, p. 135-143, 2015. https://doi.org/10.1016/j.catena.2014.09.020.
Hapsari, D., Onishi, T., Imaizumi, F., Noda, J., Senge, M. The Use of Sediment Rating Curve under its Limitations to Estimate the Suspended Load. Reviews in Agricultural Science, n.7, p.88-101, 2019. https://doi.org/10.7831/ras.7.0_88.
Hassanzadeh, H., Bajestan, M. S., Paydar, G. R. Performance evaluation of correction coefficients to optimize sediment rating curves on the basis of the Karkheh dam reservoir hydrography, west Iran. Arabian Journal of Geosciences. v.11, p.595, 2018. https://doi.org/10.1007/s12517-018-3964-x.
Heng, S., Suetsugi, T. Comparison of regionalization approaches in parameterizing sediment rating curve in ungauged catchments for subsequent instantaneous sediment yield prediction. Journal of Hydrology. v.512, p.240-253, 2014. https://doi.org/10.1016/j.jhydrol.2014.03.003.
Horowitz, A. J. An evaluation of sediment rating curves for estimating suspended sediment concentrations for subsequent flux calculations. Hydrological Processes. v.17, p.3387-3409, 2003. https://doi.org/10.1002/hyp.1299.
Horowitz, A. J. Determining Annual Suspended Sediment and Sediment-Associated Trace Element and Nutrient Fluxes. Science of the Total Environment, 400, 315-345. https://doi.org/10.1016/j.scitotenv.2008.04.022.
Hydrometeorological Network Management Superintendence. (2009). Ministério do Meio Ambiente [Ministry of the Environment]. 2ª Edição. Brasília – DF. Available at: http://arquivos.ana.gov.br/infohidrologicas/InventariodasEstacoesFluviometricas.pdf.
Iadanza, C., Napolitano, F. (2006). Sediment transport time series in the Tiber River physics and chemistry of the earth. Parts A/B/C, 31, 212–227. https://doi.org/10.1016/j.pce.2006.05.005.
IBGE, (2016). Manuais técnicos em Geociências [Technical Manuals in Geosciences]. Manual Técnico de Uso da Terra [Land Use Technical Manual]. 3.ed, 7, Rio de Janeiro: IBGE.
Kendall, M. G. Rank correlation methods. London: Charles Griffin & Company Limited, 1975.
Lee, T. (2020). Mann-Kendall with Missing Values and Same Values. MATLAB Central File Exchan. Available at: <https://www.mathworks.com/matlabcentral/fileexchange/70408-mann-kendall-with- missing-values-and-same-values>.
Levine, D. M., Berenson, M. L., Stephan, D. (2000). Estatística; Teoria e aplicaçõess. LTC, Rio de Janeiro.
Li, Z., Xu, X., Xu, C., Liu, M., Wang, K., Yi, R. (2017). Monthly sediment discharge changes and estimates in a typical karst catchment of southwest China. Journal of Hydrology, 555, 95-107. https://doi.org/10.1016/j.jhydrol.2017.10.013.
Lin, H., Yu, Q., Wang, Y., Gao, S. (2022). Identification, extraction and interpretation of multi-period variations of coastal suspended sediment concentration based on unevenly spaced observations. Marine Geology, 445. https://doi.org/10.1016/j.margeo.2022.106732.
Maheshwari, S., Chavan, S. R. (2022). A modified approach to determine suspended sediment transport effectiveness in Indian rivers. Journal of Hydrology, 605. https://doi.org/10.1016/j.jhydrol.2021.127284
Mann, H. B. (1945). Non-parametric tests against trend. Econometrica, 13, 245-259.
MATLAB. (2013). Math Works - Matlab Manual. Availableat: <http://www.mathworks.com/products/matlab/>.
Minella, J. P., Merten, G. H., Magnago, P. F. (2011). Análise qualitativa e quantitativa da histerese entre vazão e concentração de sedimentos durante eventos hidrológicos. Revista Brasileira de Engenharia Agrícola e Ambiental, 15(12), 1306-1313. https://doi.org/10.1590/S1415-43662011001200013
Minella, J. P., Merten, G. H., Reichert, J. M., Clarke, R. T. (2008). Estimating suspended sediment concentrations from turbidity measurements and the calibration problem. Hydrological Processes, 22, 1819-1830. https://doi.org/10.1002/hyp.6763
Mohanty, L., Biswal, B. (2022). Event scale analysis of sediment Concentration-River discharge relationship. Materials Today: Proceedings, 62(12), 6379-6384. https://doi.org/10.1016/j.matpr.2022.03.383.
Morgan, R. P. C. (1995). Soil erosion and conservation, 2.ed. London: Longman, London.
Nash, J. E., Sutcliffe, J. V. (1970). River flow forecasting through conceptual models. Part I. A discussion of principles. Journal of Hydrology, 10(3), 282–290. https://doi.org/10.1016/0022-1694(70)90255-6.
Poleto, C. (2014). Sedimentologia Fluvial: Estudos e Técnicas [Fluvial Sedimentology: Studies and Techniques]. Volume 1. Associação Brasileira de Recursos Hídricos. ABRH.
Sadeghi S. H. R., Fazli, S., Khaledi., Darvishan, A. (2008). Evaluation of efficiency sediment rating curve in Khamesan typically watershed. In: 4ed National Seminar on Erosion and Sediment, 6 -11.
Sadeghi, S. H. R., Mizuyama, T., Miyata, S., Gomi, T., Kosugi, K., Fukushima, T., Onda, Y. (2008). Development, evaluation and interpretation of sediment rating curves for a Japanese small mountainous reforested watershed. Geoderma, 144(1), 198-211. https://doi.org/10.1016/j.geoderma.2007.11.008
Schmidt, K. H., Morche, D. (2006). Sediment output and effective discharge in two small high mountain catchments in the Bavarian Alps Germany. Geomorphology, 80(1– 2), 131–145. https://doi.org/10.1016/j.geomorph.2005.09.013.
Shojaeezadeh, S. A., Al-Wardy, M., Nikoo, M. R. (2024). Suspended sediment load modeling using Hydro-Climate variables and Machine learning. Journal of Hydrology, 633. https://doi.org/10.1016/j.jhydrol.2024.130948.
Spavorek, G., Lier, Q. D. J. V., Dourado Neto, D. (2007). Computer assisted Köppen climate classification: a case study for Brazil. International Journal of Climatology. 27, 257-266. https://doi.org/10.1002/joc.1384
Tilahun, A. K., Verstraeten, G., Chen, M., Gulie, G., Belayneh, L., & Endale, T. (2023) Temporal and spatial variability of suspended sediment rating curves for rivers draining into the Ethiopian Rift Valley. Land Degradation & Development, 34(2), 478-492. https://doi.org/10.1002/ldr.4473.
Toledo, J. A. C. (2023) Relações entre manejo do solo e erosão hídrica: uma revisão bibliográfica. Revista Craibeiras de Agroecologia, 8(1), 13255.
Van Pelt, R. S., Hushmurodov, S. X., Baumhardt, R. L., Chappell, A., Nearing, M. A., Polyakov, V. O., Strack, J. E. (2017). The reduction of partitioned wind and water erosion by conservation agriculture. Catena, 148, 160-167. https://doi.org/10.1016/j.catena.2016.07.004
Vargas, M. M., Beskow, S., Caldeira, T. L., Corrêa, L. L.; Cunha, Z. A. (2019). SYHDA - System of Hydrological Data Acquisition and Analysis. Revista Brasileira De Recursos Hídricos, 24, 1.
Wang, L., Liu, L. (2022). Water-sediment synergistic relationship in the flood season in the coarse sand source regions of the loess plateau, China. Journal of Contaminant Hydrology, 245. https://doi.org/10.1016/j.jconhyd.2021.103935
WMO - WORLD METEOROLOGICAL ORGANIZATION. (2008). Methods of observation. In: Guide to Hydrological Practices: hydrology from measurement to hydrological information. 6ed. Geneva, Switzerland,1, 2, 24-27. (WMO - n. 168).
Yadolah, D. (2008). The Concise Encyclopedia of Statistics. Springer. p. 88-91.
Yaekob, T., Tamene, L., Gebrehiwot, S. G., Demissie, S. S., Adimassu, Z., Woldearegay, K., Mekonnen, K., Amede, T., Abera, W., Recha, J. W., Solomon, D., Thorne, P. (2020). Assessing the impacts of different land uses and soil and water conservation interventions on runoff and sediment yield at different scales in the central highlands of Ethiopia. Renewable Agriculture and Food Systems, 1(15).
Yang, C., Lee, K. T. (2018). Analysis of flow-sediment rating curve hysteresis based on flow and sediment travel time estimations. International Journal of Sediment Research, 33(2),171-182. https://doi.org/10.1016/j.ijsrc.2017.10.003
Yu, B., Shi, Z., Zhang, Y. (2023). Linking hydrological and landscape characteristics to suspended sediment-discharge hysteresis in Wudinghe River Basin on the Loess Plateau, China. Catena, 288. https://doi.org/10.1016/j.catena.2023.107169.
Zeng, C., Zhang, F., Lu, X., Wang, G., Gong, T. (2018). Improving sediment load estimations: The case of the Yarlung Zangbo River (the upper Brahmaputra, Tibet Plateau). Catena, 160, 201-211. https://doi.org/10.1016/j.catena.2017.09.023
Zhang, W., Wei, X., Jinhai, Z., Yuliang, Z., Zhang, Y. (2012). Estimating suspended sediment loads in the Pearl River Delta region using sediment rating curves. Continental Shelf Research, 38, 35-46. https://doi.org/10.1016/j.csr.2012.02.017.
Zheng, M. A., Yang, J. B., Qi, D. A., Sun, L. A., Cai, Q. A. (2012). Flow–sediment relationship as functions of spatial and temporal scales in hilly areas of the Chinese Loess Plateau. Catena, 98, 29-40. https://doi.org/10.1016/j.catena.2012.05.01
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2024 Viviane Dorneles, Victória de Souza Wojahn, Samuel Beskow, Maria Cândida Moitinho Nunes

Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Autores que publicam na Revista Brasileira de Geografia Física concordam com os seguintes termos:
Autores mantêm os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a licença Creative Commons Atribuição 4.0 Internacional (CC BY 4.0) que permite o compartilhamento do trabalho com reconhecimento da autoria e publicação inicial nesta revista.
Autores têm autorização para assumir contratos adicionais separadamente, para distribuição não-exclusiva da versão do trabalho publicada nesta revista (exemplo: depositar em repositório institucional ou publicar como capítulo de livro), com reconhecimento de autoria e publicação inicial nesta revista.
Autores têm permissão para disponibilizar seu trabalho online antes ou durante o processo editorial, em redes sociais acadêmicas, repositórios digitais ou servidores de preprints. Após a publicação na Revista Brasileira de Geografia Física, os autores se comprometem a atualizar as versões preprint ou pós-print do autor, nas plataformas onde foram originalmente disponibilizadas, informando o link para a versão final publicada e outras informações relevantes, com o reconhecimento da autoria e da publicação inicial nesta revista.
Qualquer usuário tem direito de:
Compartilhar — copiar e redistribuir o material em qualquer suporte ou formato para qualquer fim, mesmo que comercial.
Adaptar — remixar, transformar e criar a partir do material para qualquer fim, mesmo que comercial.
O licenciante não pode revogar estes direitos desde que você respeite os termos da licença.
De acordo com os termos seguintes:
Atribuição — Você deve dar o crédito apropriado, prover um link para a licença e indicar se mudanças foram feitas. Você deve fazê-lo em qualquer circunstância razoável, mas de nenhuma maneira que sugira que o licenciante apoia você ou o seu uso.
Sem restrições adicionais — Você não pode aplicar termos jurídicos ou medidas de caráter tecnológico que restrinjam legalmente outros de fazerem algo que a licença permita.






