nach oben

Erschienen in:

01.10.2022 | Original Article

Elaborating rating curves for implementation of the MGB hydrological model in a river basin, Amazon region, Brazil

verfasst von: Adayana Maria Queiroz de Melo, Claudio José Cavalcante Blanco, Paulo Rógenes Monteiro Pontes, Rosane Barbosa Lopes Cavalcante, Renato Oliveira da Silva-Júnior, Marcio Sousa da Silva

Erschienen in: Sustainable Water Resources Management | Ausgabe 5/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The main objective of this study was to implement and execute the MGB hydrological model for the Itacaiúnas River basin (IRB) using flow data calculated using rating curves from 8 streamflow gauges. To evaluate the performance of the model, the Nash–Sutcliffe coefficient of daily flows (NSE), Nash–Sutcliffe coefficient of daily flow logarithms (NSELog), relative long-term error (BIAS%) and correlation coefficient (r) between flows were used. The results showed that the model better simulated the minimum flows and the periods of recession but did not reach the peak flows at some stations, which might have been related to the extrapolation of the rating curves. In addition, the flow duration curves had a good adjustment in the low flows. Finally, limitations of the model and monitoring were observed, in addition to regional characteristics that may have interfered with the performance of some points. In general, it was concluded that the results were very promising and satisfactory. Thus, the MGB hydrological model managed to reproduce the basin’s seasonality and can be used as a tool to support the management of water resources in the basin.

Vorheriger Artikel Capital expenditure, population growth and access to water services in South Africa

Nächster Artikel Numerical investigations on the reclaimable aquifer recharge from injection wells: a case study

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Alcamo J, Flörke M, Märker M (2007) Future long-term changes in global water resources driven by socio-economic and climatic changes. Hydrol Sci J 52(2):247–275CrossRef

Alvares CA, Stape JL, Sentelhas PC, Gonçalves JDM, Sparovek G (2013) Köppen’s climate classification map for Brazil. Meteorol Z 22(6):711–728CrossRef

Arsenault R, Poulin A, Côté P, Brissette F (2014) Comparison of stochastic optimization algorithms in hydrological model calibration. J Hydrol Eng 19(7):1374–1384CrossRef

Arsenault R, Brissette F, Martel JL (2018) The hazards of split-sample validation in hydrological model calibration. J Hydrol 566:346–362CrossRef

Cavalcante RBL, Pontes PRM, Souza-Filho PWM, de Souza EB (2019) Opposite effects of climate and land use changes on the annual water balance in the amazon arc of deforestation. Water Resour Res 55(4):3092–3106CrossRef

Chen Y, Xu CY, Chen X, Xu Y, Yin Y, Gao L, Liu M (2019) Uncertainty in simulation of land-use change impacts on catchment runoff with multi-timescales based on the comparison of the HSPF and SWAT models. J Hydrol 573:486–500CrossRef

Collischonn W (2001) Simulação hidrológica em grandes bacias. Porto Alegre: UFRGS. Tese Doutorado. pp 194

Collischonn W, Tucci CEM (2001) Hydrological simulation of large drainage basins. Braz J Water Resour 6(1):15–35

Collischonn W, Allasia D, Da Silva BC, Tucci CE (2007) The MGB-IPH model for large-scale rainfall—runoff modelling. Hydrol Sci J 52(5):878–895CrossRef

Cordeiro A, Medeiros PA (2003) Estimativa da curva-chave de Blumenau. In: Simpósio Brasileiro de Hidrologia e Recursos Hídricos, 15. Anais Curitiba: ABRH, Curitiba.

Dias LC, Fernandes LL, Lopes DF (2019) Elaboração e Extrapolação de Curvas-chave na Região Amazônica. Revista Brasileira De Geografia Física 12(06):2285–2301CrossRef

Fan FM, Buarque DC, Pontes PRM, Collischonn W (2015) Um mapa de unidades de resposta hidrológica para a América do Sul. XXI Simpósio Brasileiro de Recursos Hídricos, novembro de 2015, Brasília-DF. Anais do XXI Simpósio Brasileiro de Recursos Hídricos. PAP019919.

Fan M, Mawuko DO, Shibata H, Ou W (2019) Spatial conservation areas for water yield hydrological ecosystem services with their economic values effects under climate change: a case study of Teshio watershed located in northernmost of Japan. Hydrol Res 50(6):1679–1709CrossRef

Felix VS, Paz AR (2016) Representação dos processos hidrológicos em bacia hidrográfica do semiárido paraibano com modelagem hidrológica distribuída. RBRH 21(3):556–569CrossRef

Filho DP, Santos I, Fill HF (2003) Sistema de ajuste e extrapolação de curva de descarga—Stevens. Anais do Simpósio Brasileiro de Hidrologia e Recursos Hídricos.

Fill, H. D. (1987). Informações Hidrológicas. In: MODELOS para gerenciamento de recursos hídricos Capítulo 2. Nobel: ABRH. pp 93–210.

Fleischmann A, Siqueira V, Paris A, Collischonn W, Paiva R, Pontes P, Tanimoun B (2018) Modelling hydrologic and hydrodynamic processes in basins with large semi-arid wetlands. J Hydrol 561:943–959CrossRef

Fraga I, Cea L, Puertas J (2019) Effect of rainfall uncertainty on the performance of physically based rainfall–runoff models. Hydrol Process 33(1):160–173CrossRef

Francesconi W, Srinivasan R, Pérez-Miñana E, Willcock SP, Quintero M (2016) Using the soil and water assessment tool (SWAT) to model ecosystem services: a systematic review. J Hydrol 535:625–636CrossRef

Hrachowitz M, Savenije HHG, Blöschl G, McDonnell JJ, Sivapalan M, Pomeroy JW, Cudennec C (2013) A decade of predictions in ungauged basins (PUB)—a review. Hydrol Sci J 58(6):1198–1255CrossRef

Hyndman RJ, Koehler AB (2006) Another look at measures of forecast accuracy. Int J Forecast 22(4):679–688CrossRef

Ibbitt RP, Pearson CP (1987) Gauging frequency and detection of rating changes. Hydrol Sci J 32(1):85–103CrossRef

Itacaiúnas GAT (2007) GAT Itacaiúnas: Estudo de Gestão Ambiental Territorial da Bacia do Itacaiúnas Caderno 3. Marabá, Água Relatório Interno, p 261

Jaccon G, Cudo KJ (1989) Curva-chave: análise e traçado. DF: DNAEE, Brasília. pp 273.

Jackson EK, Roberts W, Nelsen B, Williams GP, Nelson EJ, Ames DP (2019) Introductory overview: error metrics for hydrologic modelling–a review of common practices and an open source library to facilitate use and adoption. Environ Model Softw 119:32–48CrossRef

Krause P, Boyle DP, Bäse F (2005) Comparison of different efficiency criteria for hydrological model assessment. Adv Geosci 5:89–97CrossRef

Mansanarez V, Renard B, Coz JL, Lang M, Darienzo M (2019) Shift happens! Adjusting stage-discharge rating curves to morphological changes at known times. Water Resour Res 55(4):2876–2899CrossRef

Martins DDM, Chagas RM, Melo Neto JDO, Méllo Júnior AV (2011) Impactos da construção da usina hidrelétrica de Sobradinho no regime de vazões no Baixo São Francisco. Revista Brasileira De Engenharia Agrícola e Ambiental 15(10):1054–1061CrossRef

Milly PCD, Betancourt J, Falkenmark M, Hirsch RM, Kundzewicz ZW, Lettenmaier DP, Stouffer RJ (2008) Stationarity is dead: Whither water management? Earth 4:20

New M, Lister D, Hulme M, Makin I (2002) A high-resolution data set of surface climate over global land areas. Clim Res 21(1):1–25CrossRef

Ossa-Moreno J, McIntyre N, Ali S, Smart JC, Rivera D, Lall U, Keir G (2018) The hydro-economics of mining. Ecol Econ 145:368–379CrossRef

Pontes PRM, Fan FM, Fleischmann AS, de Paiva RCD, Buarque DC, Siqueira VA, Collischonn W (2017) MGB-IPH model for hydrological and hydraulic simulation of large floodplain river systems coupled with open source GIS. Environ Model Softw 94:1–20CrossRef

Pontes PR, Cavalcante RB, Sahoo PK, da Silva Júnior RO, da Silva MS, Dall’Agnol R, Siqueira JO (2019) The role of protected and deforested areas in the hydrological processes of Itacaiúnas River Basin, eastern Amazonia. J Environ Manage 235:489–499CrossRef

Pontes PRM, Cavalcante RBL, Giannini TC, Costa CPW, Tedeschi RG, Melo AMQ, Xavier ACF (2022) Effects of climate change on hydrology in the most relevant mining basin in the Eastern Legal Amazon. Water 14(9):1416. https://doi.org/10.3390/w14091416CrossRef

Ribeiro Neto A, Barbosa RI, Filho PFA, Cirilo JA (2007) Uso do modelo hidrológico de grandes bacias (MGB-IPH) em regiões semiáridas. In Conferência Internacional sobre Água em Regiões Áridas e Semiáridas 2 Gravatá Anais. Pernambuco Associação Brasileira de Recursos Hídricos.

Sefione AL (2002) Estudo comparativo de métodos de extrapolação superior de curvas-chave. Dissertação (Mestrado em Engenharia). Instituto de Pesquisas Hidráulicas Universidade Federal do Rio Grande do Sul, Porto Alegre

Sikorska AE, Renard B (2017) Calibrating a hydrological model in stage space to account for rating curve uncertainties: general framework and key challenges. Adv Water Resour 105:51–66CrossRef

Silva PMDO, Mello CRD, Silva AMD, Coelho G (2008) Modelagem da hidrógrafa de cheia em uma bacia hidrográfica da região Alto Rio Grande. Rev Bras De Eng Agríc e Ambient 12(3):258–265CrossRef

Silva Júnior RO, Queiroz JCB, Ferreira DBS, Tavares AL, Souza-Filho PWM, Guimaraes JTF, Rocha E (2017) Estimativa de precipitação e vazões médias para a bacia hidrográfica do rio Itacaiúnas (BHRI), Amazônia Oriental, Brasil (Estimation of Precipitation and average Flows for the Itacaiúnas River Watershed (IRW)–Eastern Amazonia, Brazil). Revista Bras De Geog Fís. 10(5):1638–1654CrossRef

Siqueira VA, Paiva RC, Fleischmann AS, Fan FM, Ruhoff AL, Pontes PR, Collischonn W (2018) Toward continental hydrologic–hydrodynamic modeling in South America. Hydrol Earth Syst Sci 22(9):4815–4842CrossRef

Sorribas MV, Paiva RC, Melack JM, Bravo JM, Jones C, Carvalho L, Costa MH (2016) Projections of climate change effects on discharge and inundation in the Amazon basin. Clim Change 136(3):555–570CrossRef

Souza-Filho PWM, de Souza EB, Júnior ROS, Nascimento WR Jr, de Mendonça BRV, Guimarães JTF, Siqueira JO (2016) Four decades of land-cover, land-use and hydroclimatology changes in the Itacaiúnas River watershed, southeastern Amazon. J Environ Manage 167:175–184CrossRef

USGS (2002) Standard for the analysis and processing of surface-water data and information using electronic methods. U.S Geological Survey, Reston, p 106

Van Liew MW, Arnold JG, Garbrecht JD (2003) Hydrologic simulation on agricultural watersheds: choosing between two models. Trans ASAE 46(6):1539CrossRef

Van Liew MW, Veith TL, Bosch DD, Arnold JG (2007) Suitability of SWAT for the conservation effects assessment project: comparison on USDA agricultural research service watersheds. J Hydrol Eng 12(2):173–189CrossRef

Willmott CJ, Robeson SM, Matsuura K (2012) A refined index of model performance. Int J Climatol 32(13):2088–2094CrossRef

WMO World Meeorological Organization (2008) Methods of observation. Guide to hydrological practices hydrology from measurement to hydrological information vol 1 chap 2, 6th edn. WMO, Geneva, pp 24–27 (WMO: n. 168)

WMO World Meteorological Organization (2010) Manual on stream gauging. Computation of discharge. WMO, Geneva

Xiong F, Guo S, Liu P, Xu CY, Zhong Y, Yin J, He S (2019) A general framework of design flood estimation for cascade reservoirs in operation period. J Hydrol 577:124003CrossRef

Yang W, Chen H, Xu CY, Huo R, Chen J, Guo S (2020) Temporal and spatial transferabilities of hydrological models under different climates and underlying surface conditions. J Hydrol 591:125276CrossRef

Titel: Elaborating rating curves for implementation of the MGB hydrological model in a river basin, Amazon region, Brazil
verfasst von: Adayana Maria Queiroz de Melo
Claudio José Cavalcante Blanco
Paulo Rógenes Monteiro Pontes
Rosane Barbosa Lopes Cavalcante
Renato Oliveira da Silva-Júnior
Marcio Sousa da Silva
Publikationsdatum: 01.10.2022
Verlag: Springer International Publishing
Erschienen in: Sustainable Water Resources Management / Ausgabe 5/2022
Print ISSN: 2363-5037
Elektronische ISSN: 2363-5045
DOI: https://doi.org/10.1007/s40899-022-00715-z

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 5/2022

A comparative study of electro coagulation and unified electro coagulation in treating paper industry effluent

Comparison of the monthly streamflow forecasting in Maroon dam using HEC-HMS and SARIMA models

Assessing groundwater potential and suitable land zones for irrigation using spatial information technology in the Keleta Watershed, Ethiopia

Processes governing nutrient dynamics in tropical urban-agriculture rivers, NE Thailand

Potential use of groundwater for irrigation purposes in the Middle Euphrates region, Iraq

Application of trophic state indicators and nutrient ratios for the characterization of trophic state and primary productivity of the Volta Lake, Ghana