MODELAGEM HIDROLÓGICA DETERMINÍSTICA CHUVA-VAZÃO EM BACIAS HIDROGRÁFICAS
UMA ABORDAGEM INTRODUTÓRIA
Abstract
A modelagem hidrológica em bacias hidrográficas consiste numa das principais e mais modernas ferramentas para gestão de recursos hídricos e dimensionamentos hidrológicos, no entanto, vários são os questionamentos quando estudantes e profissionais se deparam com aplicações práticas de um modelo hidrológico. Neste contexto, a presente Revisão de Literatura tem por objetivo apresentar, em língua portuguesa, uma breve visão introdutória às definições e aos conceitos básicos de modelagem hidrológica, a fim de fomentar sua compreensão e aplicações. São abordados neste artigo conceitos, classificações, objetivos da modelagem e as etapas envolvidas na utilização de modelos hidrológicos. É dado maior enfoque ao último tópico, justamente por ser na prática que o leitor deparar-se-á com terminologias específicas e a necessidade de optar por uma dentre várias metodologias existentes. Espera-se, com este texto, reduzir a distância entre a teoria e a prática, estimulando o leitor a lançar mão da técnica de modelagem hidrológica em tarefas profissionais diárias em universidades e empresas públicas ou privadas.Downloads
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References
ARNOLD, J. G.; MORIASI, D. N.; GASSMAN, P. W.;
ABBASPOUR, K. C.; WHITE, M. J.; SRINIVASAN, R.;
SANTHI, C.; HARMEL, R. D.; VAN GRIENSVEN, A.; VAN
LIEW, M. W.; KANNAN, N.; JHA, M. K. SWAT: Model use,
calibration, and validation. Transactions of the ASABE, v. 55, n.
4, p. 1494-1508, 2012.
ABBASPOUR, K. C.; JOHNSON, C. A.; VAN GENUCHTEN,
M. T. Estimating uncertain fow and transport parameters using
a sequential uncertainty ftting procedure. Vadose Zone Journal,
Madison, v. 3, n. 4. p. 1340–1352, 2004.
BESKOW, S. LASH Model: a hydrological simulation tool in
GIS framework. Tese (Doutorado em Engenharia Agrícola).
Universidade Federal de Lavras. Lavras, p. 118. 2009.
BESKOW, S.; MELLO, C. R. D.; NORTON, L. D. Development,
sensitivity and uncertainty analysis of LASH model. Scientia
Agricola, v. 68, p. 265-274, 2011a.” para “BESKOW, S.;
MELLO, C. R. D.; NORTON, L. D. Development, sensitivity
and uncertainty analysis of LASH model. Scientia Agricola, v.68,
p. 265-274, 2011.
BESKOW, S.; MELLO, C. R.; NORTON, L. D.; SILVA, A. M.
Performance of a distributed semi-conceptual hydrological model
under tropical watershed conditions. Catena, v. 86, n. 3, p. 160-
171, 2011.
BESKOW, S.; MELLO, C. R.; VARGAS, M. M.; CALDEIRA,
T. L.; DURÃES, M. F.; AGUIAR, M. S. Artifcial intelligence
techniques coupled with seasonality measures for hydrological
regionalization of Q90 under Brazilian conditions. Journal of
Hydrology, v. 541, p. 1406-1419, 2016a.
BESKOW, S.; TIMM, L. C.; TAVARES, V. E. Q.; CALDEIRA,
T. L.; AQUINO, L. S. Potential of the LASH model for water
resources management in data-scarce basins: a case study of
the Fragata River basin, Southern Brazil. Hydrological Sciences
Journal, v. 61, p. 2567-2578, 2016b.
BEVEN, K. J. Rainfall-runof modelling: the primer. 1ª. ed.
Chichester: John Wiley & Sons, 2004.
BEVEN, K. J. A manifesto for equifnality thesis. Journal of
Hydrology, v. 320, n. 1-2, p. 18-36, 2006.
BEVEN, K. J.; BINLEY, A. Te future of distributed models:
Model calibration and uncertainty prediction. Hydrological
Processes, v. 6, p. 279-298, 1992.
BEVEN, K. J.; FREER, J. Equifnality, data assimilation, and
uncertainty estimation in mechanistic modeling of complex
environmental systems using the GLUE methodology. Journal of
Hydrology, v. 249, n. 1-4, p. 11-29, 2001.
BEVEN, K. J.; KIRKBY, M. J. A physically-based, variable
contributing area model of basin hydrology. Hydrological
Sciences Bulletin, v. 24, n. 1, p. 43-69, 1979.
CALDEIRA, T. L. Aprimoramento computacional do modelo
Lavras Simulation of Hydrology (LASH): aplicação em duas
bacias do Rio Grande do Sul. Pelotas: Dissertação (Mestrado em
Recursos Hídricos). Universidade Federal de Pelotas. Pelotas, p.
213. 2016.
CASTRO, C. B. Avaliação do modelo SWAT na simulação da
vazão em bacia agrícola do Cerrado intensamente monitorada.
Dissertação (Mestrado em Geoprocessamento e Análise
Ambiental). Universidade de Brasília. Brasília, p. 122. 2013.
COLLISCHONN, W. Simulação Hidrológica de Grandes
Bacias. Tese (Doutorado em Engenharia). Universidade Federal
do Rio Grande do Sul. Porto Alegre, p. 194. 2001.
COLLISCHONN, W.; TUCCI, C. E. M. Ajuste multiobjetivo
dos parâmetros de um modelo hidrológico. Revista Brasileira de
Recursos Hídricos, v. 8, n. 3, p. 27-41, 2003.
DAGGUPATI, P.; PAI, N.; ALE, S.; DOUGLAS-MANKIN,
K. R.; ZECKOSKI, R. W.; JEONG, J. PARAJULI, P. B.;
SARASWAT, D.; YOUSSEF, M. A. A recommended calibration
and validation strateggy for hydrologic and water quality models.
Transactions of the ASABE, v. 58, n. 6, p. 1705-1719, 2015.
DOOGE, J. Linear Teory of Hydrological Systems. Technical
Bulletin n. 1468. Washington DC: Agricultural Research Service
- US Department of Agriculture, 1973. 327 p.
DUAN, Q.; SOROOSHIAN, S.; GUPTA, V. Efective and
Efcient Global Optimization for Conceptual Rainfall-Runof
Models. Water Resources Research, v. 28, n. 4, p. 1015-1031,
1992.
GAN, T. Y.; BIFTU, G. F. Automatic calibration of conceptual
rainfall-runof models: Optimization algorithms, catchment
conditions, and model structure. Water Resources Research, v.
32, n. 12, p. 3513-3524, 1996.
GAN, Y.; DUAN, Q.; GONG, W.; TONG, C.; SUN, Y.; CHU,
W.; YE, A.; MIAO, C.; ZHENHUA, D. A comprehensive
evaluation of various sensitivity analysis methods: A case study
with a hydrological model. Environmental Modelling & Software,
v. 51, p. 269-285, 2014.
GUPTA, H. V., SOROOSHIAN, S., & YAPO, P. O. Status
of automatic calibration for hydrologic models: Comparison
with multilevel expert calibration. Journal of. Hydrological
Engineering, v, 4, n. 2, p. 135-143, 1999.
HARTMANN, H. C.; BALES, R.; SOROOSHIAN, S. Weather,
climate and hydrologic forecasting for the southwest U.S. Tucson:
Te University of Arizona, 1999. 172 p.
30
Caldeira et al.
Revista Brasileira de Engenharia e Sustentabilidade, v.5, n.1, p.22-32, jul. 2018
HER, Y.; CHAUBEY, I. Impact of the numbers of observations
and calibration parameters on equifnality, model performance,
and output and parameter uncertainty. Hydrological Processes, v.
29, n. 19, p. 4220-4237, 2015.
JARVIS, N.; LARSBO. M. MACRO (v5.2): Model use,
calibration, and validation. Trans. ASABE, v. 55, n. 4, p. 1413-
1423, 2012.
KLEMEŠ, V. Operational testing of hydrological simulation.
Hydrological Sciences Journal, v. 31, n. 1, p. 13-24, 1986.
LENHART, T.; ECKHARDT, K.; FOHRER, N.; FREDE, H.
G. Comparison of two diferent approaches of sensitivity analysis.
Physics and Chemistry of the Earth, v. 27, n. 9-10, p. 645-654,
2002.
MA, L., AHUJA, L. R., NOLAN, B. T., MALONE, R. W.,
TROUT, T. J., QI, Z. Root Zone Water Quality Model
(RZWQM2): Model use, calibration, and validation. Transactions
of the ASABE, v. 55, n. 4, p. 1425-1446, 2012.
MAGAND, C.; DUCHARNE, A.; LE MOINE, N.; BRIGODE,
P. Parameter transferability under changing climate: case study
with a land surface model in the Durance watershed, France.
Hydrological Sciences Journal, v. 60, n. 7-8, p. 1408-1423, 2015.
MAIDMENT, D. R. GIS and hydrologic modeling. In:
GOODCHILD, M. F.; PARKS, B. O.; STEYAERT, L. T.
Environmental modeling with GIS. New York: Oxford University,
1993. Cap. 14, p. 147-167.
MARINHO FILHO, G. M.; ANDRADE, R. S.; ZUKOWSKI,
J. C.; MAGALHÃES, L. L. Modelos hidrológicos: conceitos e
aplicabilidades. Revista de Ciências Ambientais, v. 6, n. 2, p. 35-
47, 2012.
MELLO, C. R.; NORTON, L. D.; PINTO, L. C.; BESKOW,
S.; CURI, N. Agricultural watershed modeling: a review for
hydrology and soil erosion processes. Ciência & Agrotecnologia,
v. 40, n. 1, 2016.
MICHEL, C.; PERRIN, C.; ANDRÉASSIAN, V. Te
exponential store: a correct formulation for rainfall-runof
modelling. Hydrological Sciences Journal, v. 48, n. 1, p. 109-
124, 2003.
MOREIRA, I. A. Modelagem hidrológica chuva-vazão com dados
de radar e pluviômetros. Dissertação (Mestrado em Engenharia
Hidrológica). Universidade Federal do Paraná. Curitiba, p. 81.
2005.
MORIASI, D. N.; ARNOLD, J. G.; VAN LIEW, M. W.;
BINGNER, R. L.; HARMEL, R. D.; VEITH, T. L. Model
evaluation guidelines for systematic quantifcation of accuracy in
watershed simulation. Transactions of the ASABE, v. 50, p. 885-
900, 2007.
NASH, J. E.; SUTCLIFFE, J. V. River fow forecasting through
conceptual models I: a discussion of principles. Journal of
Hydrology, v. 10, n. 3, p. 282-298, 1970.
PERRIN, C.; OUDIN, L.; ANDREASSIAN, V.; ROJASSERNA, C.; MICHEL, C.; MATHEVET, T. Impact of limited
streamfow data on the efciency and the parameters of rainfallrunof models. Hydrological Sciences Journal, v. 52, n. 1, p. 131-
151, 2007.
PERRIN, C.; MICHEL, C.; ANDRÉASSIAN, V. Improvement
of a parsimonious model for streamfow simulation. Journal of
Hydrology, v. 279, n. 1/4, p. 275-289, 2003.
SALTELLI, A., RATTO, M., ANDRES, T., CAMPOLONGO,
F., CARIBONI, J., GATELLI, D., & TARANTOLA, S. Global
Sensitivity Analysis: Te Primer. Hoboken, N.J.: John Wiley and
Sons, 2008. 304 p.
ŠIMŮNEK, J.; VAN GENUCHTEN; M. T.; ŠEJNA, M.
HYDRUS: Model use, calibration, and validation. Trans. ASABE,
v. 55, n. 4: 1261-1274, 2012.
SOROOSHIAN, S.; GUPTA, V. K. Automatic calibration of
conceptual rainfall-runof models: Te question of parameter
observability and uniqueness. Water Resources Research, v. 19,
n. 1, p. 260-268, 1983.
SOROOSHIAN, S.; GUPTA, V. K. Model calibration. In:
SINGH, V. J. Computer models of watershed hydrology.
Highlands Ranch: Water Resources Publications, 1995.
SOROOSHIAN, S.; GUPTA, V. K.; FULTON, J. Evaluation
of Maximum Likelihood Parameter Estimation Techniques for
Conceptual Rainfall-Runof Models: Infuence of Calibration
Data Variability and Length on Model Credibility. Water
Resources Reserach, v. 19, n. 1, p. 251-259, 1983.
SOROOSHIAN, S.; HSU, K.; COPPOLA, E.; TOMASSETTI,
B. VERDECCHIA, M. VISCONTI, G. Hydrological modelling
and the water cycle. Springer: Heidelberg, 2008. 291 p.
VRUGT; J. A.; BEVEN, K. J. Embracing equifnality
with efciency: Limits of Acceptability sampling using the
DREAM(LOA) algorithm. Journal of Hydrology, v. 559, p. 954-
971, 2018.
TUCCI, C. E. M. Modelos Hidrológicos. 2ª. ed. Porto Alegre:
UFRGS/ABRH, 2005. 678 p.
VAN GRIENSVEN, A.; MEIXNER, T.; GRUNWALD, S.;
BISHOP, T.; DILUZIO, M.; SRINIVASAN, R. A global
sensitivity analysis tool for the parameters of multi-variable
catchment models. Journal of Hydrology, v. 324, n. 1-4, p. 10-
23, 2006.
VAN GRIENSVEN, A.; BAUWENS, W. Multi‐objective auto‐
calibration for semi‐distributed water quality models. Water
Resources Research, Washington, v. 39, n. 12, p. 1348, Dec.
2003.
VIOLA, M. R. Simulação hidrológica na cabeceira da Bacia
Hidrográfca do Rio Grande de cenários de usos do solo e
mudanças climáticas A1B. Tese (Doutorado em Recursos
Hídricos em Sistemas Agrícolas). Universidade Federal de Lavras.
Lavras, p. 286. 2011.
VIOLA, M. R.; MELLO, C. R. de; GIONGO, M.; BESKOW, S.;
SANTOS, A. F. dos. Modelagem hidrológica em uma sub-bacia
hidrográfca do baixo rio Araguaia, TO. Journal of Biotechnology
and Biodiversity, v. 3, n. 3, p. 38-47, 2012.
VIOLA, M. R.; MELLO, C. R. de; BESKOW, S.; NORTON, L.
D. Impacts of land-use changes on the hydrology of the Grande
river basin headwaters, Southeastern, Brazil. Water Resources
Management, v. 28, n. 13, p. 4537-4550, 2014.
WHEATER, H. S. Modeling hydrological processes in arid and
semi-arid areas: in introduction to the workshop. In: WHEATER,
H. S.; SOROOSHIAN, S.; SHARMA, K. D. (Ed.). Hydrological
modeling in arid and semi-arid areas. New York: Cambridge
University, 2008. p. 1-20.
WHITE, K. L.; CHAUBEY, I. Sensitivity Analysis, Calibration
and Validation for a Multisite and Multivariable SWAT Model.
Journal of the American Water Resources Association, p. 1077-
1089, 2005.
WORLD METEOROLOGICAL ORGANIZATION. Guide
to Hydrological Practices. Volume II: Management of Water
Resources and Application of Hydrological Practices. WMO No.
168. 6ª ed. WMO: Geneva, Switzerland, 2009. 302 p.
XIONG, L.; O’CONNOR, K. M. Analysis of the response
surface of the objective function by the optimum parameter
31
Caldeira et al.
Revista Brasileira de Engenharia e Sustentabilidade, v.5, n.1, p.22-32, jul. 2018
curve: how good can the optimum parameter values be? Journal
of Hydrology, v. 234, n. 3-4, p. 187-207, 2000.
YUAN, Y., KHARE, Y., WANG, X., PARAJULI, P B.,
KISEKKA, I., FINSTERLE, S. Hydrologic and water quality
models: Sensitivity. Transactions of the ASABE, v. 58, n. 6, p.
1721-1744, 2015.
ZECKOSKI, R. W.; SMOLEN, M. D.; MORIASI, D. N.;
FRANKENBERGER,; J. R. FEYEREISEN, G. W. Hydrologic
and water quality terminology as applied to modeling.
Transactions of the ASABE, v. 58, n. 6, p. 1619-1635, 2015.
ABBASPOUR, K. C.; WHITE, M. J.; SRINIVASAN, R.;
SANTHI, C.; HARMEL, R. D.; VAN GRIENSVEN, A.; VAN
LIEW, M. W.; KANNAN, N.; JHA, M. K. SWAT: Model use,
calibration, and validation. Transactions of the ASABE, v. 55, n.
4, p. 1494-1508, 2012.
ABBASPOUR, K. C.; JOHNSON, C. A.; VAN GENUCHTEN,
M. T. Estimating uncertain fow and transport parameters using
a sequential uncertainty ftting procedure. Vadose Zone Journal,
Madison, v. 3, n. 4. p. 1340–1352, 2004.
BESKOW, S. LASH Model: a hydrological simulation tool in
GIS framework. Tese (Doutorado em Engenharia Agrícola).
Universidade Federal de Lavras. Lavras, p. 118. 2009.
BESKOW, S.; MELLO, C. R. D.; NORTON, L. D. Development,
sensitivity and uncertainty analysis of LASH model. Scientia
Agricola, v. 68, p. 265-274, 2011a.” para “BESKOW, S.;
MELLO, C. R. D.; NORTON, L. D. Development, sensitivity
and uncertainty analysis of LASH model. Scientia Agricola, v.68,
p. 265-274, 2011.
BESKOW, S.; MELLO, C. R.; NORTON, L. D.; SILVA, A. M.
Performance of a distributed semi-conceptual hydrological model
under tropical watershed conditions. Catena, v. 86, n. 3, p. 160-
171, 2011.
BESKOW, S.; MELLO, C. R.; VARGAS, M. M.; CALDEIRA,
T. L.; DURÃES, M. F.; AGUIAR, M. S. Artifcial intelligence
techniques coupled with seasonality measures for hydrological
regionalization of Q90 under Brazilian conditions. Journal of
Hydrology, v. 541, p. 1406-1419, 2016a.
BESKOW, S.; TIMM, L. C.; TAVARES, V. E. Q.; CALDEIRA,
T. L.; AQUINO, L. S. Potential of the LASH model for water
resources management in data-scarce basins: a case study of
the Fragata River basin, Southern Brazil. Hydrological Sciences
Journal, v. 61, p. 2567-2578, 2016b.
BEVEN, K. J. Rainfall-runof modelling: the primer. 1ª. ed.
Chichester: John Wiley & Sons, 2004.
BEVEN, K. J. A manifesto for equifnality thesis. Journal of
Hydrology, v. 320, n. 1-2, p. 18-36, 2006.
BEVEN, K. J.; BINLEY, A. Te future of distributed models:
Model calibration and uncertainty prediction. Hydrological
Processes, v. 6, p. 279-298, 1992.
BEVEN, K. J.; FREER, J. Equifnality, data assimilation, and
uncertainty estimation in mechanistic modeling of complex
environmental systems using the GLUE methodology. Journal of
Hydrology, v. 249, n. 1-4, p. 11-29, 2001.
BEVEN, K. J.; KIRKBY, M. J. A physically-based, variable
contributing area model of basin hydrology. Hydrological
Sciences Bulletin, v. 24, n. 1, p. 43-69, 1979.
CALDEIRA, T. L. Aprimoramento computacional do modelo
Lavras Simulation of Hydrology (LASH): aplicação em duas
bacias do Rio Grande do Sul. Pelotas: Dissertação (Mestrado em
Recursos Hídricos). Universidade Federal de Pelotas. Pelotas, p.
213. 2016.
CASTRO, C. B. Avaliação do modelo SWAT na simulação da
vazão em bacia agrícola do Cerrado intensamente monitorada.
Dissertação (Mestrado em Geoprocessamento e Análise
Ambiental). Universidade de Brasília. Brasília, p. 122. 2013.
COLLISCHONN, W. Simulação Hidrológica de Grandes
Bacias. Tese (Doutorado em Engenharia). Universidade Federal
do Rio Grande do Sul. Porto Alegre, p. 194. 2001.
COLLISCHONN, W.; TUCCI, C. E. M. Ajuste multiobjetivo
dos parâmetros de um modelo hidrológico. Revista Brasileira de
Recursos Hídricos, v. 8, n. 3, p. 27-41, 2003.
DAGGUPATI, P.; PAI, N.; ALE, S.; DOUGLAS-MANKIN,
K. R.; ZECKOSKI, R. W.; JEONG, J. PARAJULI, P. B.;
SARASWAT, D.; YOUSSEF, M. A. A recommended calibration
and validation strateggy for hydrologic and water quality models.
Transactions of the ASABE, v. 58, n. 6, p. 1705-1719, 2015.
DOOGE, J. Linear Teory of Hydrological Systems. Technical
Bulletin n. 1468. Washington DC: Agricultural Research Service
- US Department of Agriculture, 1973. 327 p.
DUAN, Q.; SOROOSHIAN, S.; GUPTA, V. Efective and
Efcient Global Optimization for Conceptual Rainfall-Runof
Models. Water Resources Research, v. 28, n. 4, p. 1015-1031,
1992.
GAN, T. Y.; BIFTU, G. F. Automatic calibration of conceptual
rainfall-runof models: Optimization algorithms, catchment
conditions, and model structure. Water Resources Research, v.
32, n. 12, p. 3513-3524, 1996.
GAN, Y.; DUAN, Q.; GONG, W.; TONG, C.; SUN, Y.; CHU,
W.; YE, A.; MIAO, C.; ZHENHUA, D. A comprehensive
evaluation of various sensitivity analysis methods: A case study
with a hydrological model. Environmental Modelling & Software,
v. 51, p. 269-285, 2014.
GUPTA, H. V., SOROOSHIAN, S., & YAPO, P. O. Status
of automatic calibration for hydrologic models: Comparison
with multilevel expert calibration. Journal of. Hydrological
Engineering, v, 4, n. 2, p. 135-143, 1999.
HARTMANN, H. C.; BALES, R.; SOROOSHIAN, S. Weather,
climate and hydrologic forecasting for the southwest U.S. Tucson:
Te University of Arizona, 1999. 172 p.
30
Caldeira et al.
Revista Brasileira de Engenharia e Sustentabilidade, v.5, n.1, p.22-32, jul. 2018
HER, Y.; CHAUBEY, I. Impact of the numbers of observations
and calibration parameters on equifnality, model performance,
and output and parameter uncertainty. Hydrological Processes, v.
29, n. 19, p. 4220-4237, 2015.
JARVIS, N.; LARSBO. M. MACRO (v5.2): Model use,
calibration, and validation. Trans. ASABE, v. 55, n. 4, p. 1413-
1423, 2012.
KLEMEŠ, V. Operational testing of hydrological simulation.
Hydrological Sciences Journal, v. 31, n. 1, p. 13-24, 1986.
LENHART, T.; ECKHARDT, K.; FOHRER, N.; FREDE, H.
G. Comparison of two diferent approaches of sensitivity analysis.
Physics and Chemistry of the Earth, v. 27, n. 9-10, p. 645-654,
2002.
MA, L., AHUJA, L. R., NOLAN, B. T., MALONE, R. W.,
TROUT, T. J., QI, Z. Root Zone Water Quality Model
(RZWQM2): Model use, calibration, and validation. Transactions
of the ASABE, v. 55, n. 4, p. 1425-1446, 2012.
MAGAND, C.; DUCHARNE, A.; LE MOINE, N.; BRIGODE,
P. Parameter transferability under changing climate: case study
with a land surface model in the Durance watershed, France.
Hydrological Sciences Journal, v. 60, n. 7-8, p. 1408-1423, 2015.
MAIDMENT, D. R. GIS and hydrologic modeling. In:
GOODCHILD, M. F.; PARKS, B. O.; STEYAERT, L. T.
Environmental modeling with GIS. New York: Oxford University,
1993. Cap. 14, p. 147-167.
MARINHO FILHO, G. M.; ANDRADE, R. S.; ZUKOWSKI,
J. C.; MAGALHÃES, L. L. Modelos hidrológicos: conceitos e
aplicabilidades. Revista de Ciências Ambientais, v. 6, n. 2, p. 35-
47, 2012.
MELLO, C. R.; NORTON, L. D.; PINTO, L. C.; BESKOW,
S.; CURI, N. Agricultural watershed modeling: a review for
hydrology and soil erosion processes. Ciência & Agrotecnologia,
v. 40, n. 1, 2016.
MICHEL, C.; PERRIN, C.; ANDRÉASSIAN, V. Te
exponential store: a correct formulation for rainfall-runof
modelling. Hydrological Sciences Journal, v. 48, n. 1, p. 109-
124, 2003.
MOREIRA, I. A. Modelagem hidrológica chuva-vazão com dados
de radar e pluviômetros. Dissertação (Mestrado em Engenharia
Hidrológica). Universidade Federal do Paraná. Curitiba, p. 81.
2005.
MORIASI, D. N.; ARNOLD, J. G.; VAN LIEW, M. W.;
BINGNER, R. L.; HARMEL, R. D.; VEITH, T. L. Model
evaluation guidelines for systematic quantifcation of accuracy in
watershed simulation. Transactions of the ASABE, v. 50, p. 885-
900, 2007.
NASH, J. E.; SUTCLIFFE, J. V. River fow forecasting through
conceptual models I: a discussion of principles. Journal of
Hydrology, v. 10, n. 3, p. 282-298, 1970.
PERRIN, C.; OUDIN, L.; ANDREASSIAN, V.; ROJASSERNA, C.; MICHEL, C.; MATHEVET, T. Impact of limited
streamfow data on the efciency and the parameters of rainfallrunof models. Hydrological Sciences Journal, v. 52, n. 1, p. 131-
151, 2007.
PERRIN, C.; MICHEL, C.; ANDRÉASSIAN, V. Improvement
of a parsimonious model for streamfow simulation. Journal of
Hydrology, v. 279, n. 1/4, p. 275-289, 2003.
SALTELLI, A., RATTO, M., ANDRES, T., CAMPOLONGO,
F., CARIBONI, J., GATELLI, D., & TARANTOLA, S. Global
Sensitivity Analysis: Te Primer. Hoboken, N.J.: John Wiley and
Sons, 2008. 304 p.
ŠIMŮNEK, J.; VAN GENUCHTEN; M. T.; ŠEJNA, M.
HYDRUS: Model use, calibration, and validation. Trans. ASABE,
v. 55, n. 4: 1261-1274, 2012.
SOROOSHIAN, S.; GUPTA, V. K. Automatic calibration of
conceptual rainfall-runof models: Te question of parameter
observability and uniqueness. Water Resources Research, v. 19,
n. 1, p. 260-268, 1983.
SOROOSHIAN, S.; GUPTA, V. K. Model calibration. In:
SINGH, V. J. Computer models of watershed hydrology.
Highlands Ranch: Water Resources Publications, 1995.
SOROOSHIAN, S.; GUPTA, V. K.; FULTON, J. Evaluation
of Maximum Likelihood Parameter Estimation Techniques for
Conceptual Rainfall-Runof Models: Infuence of Calibration
Data Variability and Length on Model Credibility. Water
Resources Reserach, v. 19, n. 1, p. 251-259, 1983.
SOROOSHIAN, S.; HSU, K.; COPPOLA, E.; TOMASSETTI,
B. VERDECCHIA, M. VISCONTI, G. Hydrological modelling
and the water cycle. Springer: Heidelberg, 2008. 291 p.
VRUGT; J. A.; BEVEN, K. J. Embracing equifnality
with efciency: Limits of Acceptability sampling using the
DREAM(LOA) algorithm. Journal of Hydrology, v. 559, p. 954-
971, 2018.
TUCCI, C. E. M. Modelos Hidrológicos. 2ª. ed. Porto Alegre:
UFRGS/ABRH, 2005. 678 p.
VAN GRIENSVEN, A.; MEIXNER, T.; GRUNWALD, S.;
BISHOP, T.; DILUZIO, M.; SRINIVASAN, R. A global
sensitivity analysis tool for the parameters of multi-variable
catchment models. Journal of Hydrology, v. 324, n. 1-4, p. 10-
23, 2006.
VAN GRIENSVEN, A.; BAUWENS, W. Multi‐objective auto‐
calibration for semi‐distributed water quality models. Water
Resources Research, Washington, v. 39, n. 12, p. 1348, Dec.
2003.
VIOLA, M. R. Simulação hidrológica na cabeceira da Bacia
Hidrográfca do Rio Grande de cenários de usos do solo e
mudanças climáticas A1B. Tese (Doutorado em Recursos
Hídricos em Sistemas Agrícolas). Universidade Federal de Lavras.
Lavras, p. 286. 2011.
VIOLA, M. R.; MELLO, C. R. de; GIONGO, M.; BESKOW, S.;
SANTOS, A. F. dos. Modelagem hidrológica em uma sub-bacia
hidrográfca do baixo rio Araguaia, TO. Journal of Biotechnology
and Biodiversity, v. 3, n. 3, p. 38-47, 2012.
VIOLA, M. R.; MELLO, C. R. de; BESKOW, S.; NORTON, L.
D. Impacts of land-use changes on the hydrology of the Grande
river basin headwaters, Southeastern, Brazil. Water Resources
Management, v. 28, n. 13, p. 4537-4550, 2014.
WHEATER, H. S. Modeling hydrological processes in arid and
semi-arid areas: in introduction to the workshop. In: WHEATER,
H. S.; SOROOSHIAN, S.; SHARMA, K. D. (Ed.). Hydrological
modeling in arid and semi-arid areas. New York: Cambridge
University, 2008. p. 1-20.
WHITE, K. L.; CHAUBEY, I. Sensitivity Analysis, Calibration
and Validation for a Multisite and Multivariable SWAT Model.
Journal of the American Water Resources Association, p. 1077-
1089, 2005.
WORLD METEOROLOGICAL ORGANIZATION. Guide
to Hydrological Practices. Volume II: Management of Water
Resources and Application of Hydrological Practices. WMO No.
168. 6ª ed. WMO: Geneva, Switzerland, 2009. 302 p.
XIONG, L.; O’CONNOR, K. M. Analysis of the response
surface of the objective function by the optimum parameter
31
Caldeira et al.
Revista Brasileira de Engenharia e Sustentabilidade, v.5, n.1, p.22-32, jul. 2018
curve: how good can the optimum parameter values be? Journal
of Hydrology, v. 234, n. 3-4, p. 187-207, 2000.
YUAN, Y., KHARE, Y., WANG, X., PARAJULI, P B.,
KISEKKA, I., FINSTERLE, S. Hydrologic and water quality
models: Sensitivity. Transactions of the ASABE, v. 58, n. 6, p.
1721-1744, 2015.
ZECKOSKI, R. W.; SMOLEN, M. D.; MORIASI, D. N.;
FRANKENBERGER,; J. R. FEYEREISEN, G. W. Hydrologic
and water quality terminology as applied to modeling.
Transactions of the ASABE, v. 58, n. 6, p. 1619-1635, 2015.
Published
2021-12-01
How to Cite
Leitzke Caldeira, T., de Oliveira, V. A., Alonzo Steinmetz, A., Ribeiro Viola, M., & Beskow, S. (2021). MODELAGEM HIDROLÓGICA DETERMINÍSTICA CHUVA-VAZÃO EM BACIAS HIDROGRÁFICAS: UMA ABORDAGEM INTRODUTÓRIA. Revista Brasileira De Engenharia E Sustentabilidade, 5(1), 22-32. Retrieved from https://revistas.ufpel.edu.br/index.php/rbes/article/view/291
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