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.
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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 DOI: 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 DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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 DOI: 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 DOI: 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. DOI: 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 DOI: 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 DOI: 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. DOI: https://doi.org/10.1109/ACCESS.2020.2974406
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. DOI: 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 DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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 DOI: https://doi.org/10.1016/j.jhydrol.2021.127284
Mann, H. B. (1945). Non-parametric tests against trend. Econometrica, 13, 245-259. DOI: https://doi.org/10.2307/1907187
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 DOI: 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 DOI: 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. DOI: 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. DOI: 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 DOI: 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. DOI: 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. DOI: 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 DOI: 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. DOI: 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 DOI: 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. DOI: https://doi.org/10.1590/2318-0331.241920180152
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 DOI: 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). DOI: https://doi.org/10.1017/S1742170520000010
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 DOI: 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. DOI: 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 DOI: 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. DOI: 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 DOI: https://doi.org/10.1016/j.catena.2012.05.013
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