期刊文献+

TOPMODEL Hydrometeorological Modeling with Rain Gauge Data Integrated by High-Resolution Satellite Estimates. A Case Study in MuriaéRiver Basin, Brazil 被引量:2

TOPMODEL Hydrometeorological Modeling with Rain Gauge Data Integrated by High-Resolution Satellite Estimates. A Case Study in MuriaéRiver Basin, Brazil
下载PDF
导出
摘要 This study consists of hydrological simulations of the Muriaé river watershed with the topography-based hydrological model (TOPMODEL) and available stream gauge and rain measurements between 2009 and 2013 for two subbasins, namely </span><i><span style="font-family:Verdana;">Carangola</span></i><span style="font-family:Verdana;"> and </span><i><span style="font-family:Verdana;">Patrocínio do Muriaé</span></i><span style="font-family:Verdana;">. The simulations were carried out with the Climate Prediction Center morphing method (CMORPH) precipitation estimates and rain gauge measurements integrated into CM- ORPH by the Statistical Objective Analysis Scheme (SOAS). TOPMODEL calibration was performed with the shuffled complex evolution (SCE-UA) method with Nash-Sutcliffe efficiency (NSE). The best overall results were obtained with CMORPH (NSE ~ 0.6) for both subbasins. The simulations with SOAS resulted in an NSE ~ 0.2. However, in an analysis of days with high- level stages, SOAS simulations resulted in a better hit rate (23%) compared to CMORPH (10%). CMORPH simulations underestimated the flows at the flood periods, which indicates the importance to use multi-sensor precipitation data. The results with TOPMODEL allow an estimate of future discharges, which allows for better planning of a flood warning system and discharge measurement schedule. This study consists of hydrological simulations of the Muriaé river watershed with the topography-based hydrological model (TOPMODEL) and available stream gauge and rain measurements between 2009 and 2013 for two subbasins, namely </span><i><span style="font-family:Verdana;">Carangola</span></i><span style="font-family:Verdana;"> and </span><i><span style="font-family:Verdana;">Patrocínio do Muriaé</span></i><span style="font-family:Verdana;">. The simulations were carried out with the Climate Prediction Center morphing method (CMORPH) precipitation estimates and rain gauge measurements integrated into CM- ORPH by the Statistical Objective Analysis Scheme (SOAS). TOPMODEL calibration was performed with the shuffled complex evolution (SCE-UA) method with Nash-Sutcliffe efficiency (NSE). The best overall results were obtained with CMORPH (NSE ~ 0.6) for both subbasins. The simulations with SOAS resulted in an NSE ~ 0.2. However, in an analysis of days with high- level stages, SOAS simulations resulted in a better hit rate (23%) compared to CMORPH (10%). CMORPH simulations underestimated the flows at the flood periods, which indicates the importance to use multi-sensor precipitation data. The results with TOPMODEL allow an estimate of future discharges, which allows for better planning of a flood warning system and discharge measurement schedule.
作者 Marcos Figueiredo Salviano Augusto José Pereira Filho Felipe Vemado Marcos Figueiredo Salviano;Augusto José Pereira Filho;Felipe Vemado(Geological Survey of Brazil, S&#227;o Paulo, Brazil;Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de S&#227;o Paulo, S&#227;o Paulo, Brazil)
出处 《Atmospheric and Climate Sciences》 2021年第3期486-507,共22页 大气和气候科学(英文)
关键词 Hydrologic Model CMORPH Statistical Objective Analysis Scheme (SOAS) TOPMODEL Muriaé River Hydrologic Model CMORPH Statistical Objective Analysis Scheme (SOAS) TOPMODEL Muriaé River
  • 相关文献

参考文献1

二级参考文献8

  • 1李致家,周轶,哈布.哈其.新安江模型参数全局优化研究[J].河海大学学报(自然科学版),2004,32(4):376-379. 被引量:35
  • 2VIJAY P S. Compuer models of watershed hydrology[M]. Highlands Ranch:Water Resources Publication, 1995:23-68.
  • 3DUAN Q, GUPTA V K, SOROOSHIAN S. Shuffled complex evolution approach for effective and efficient global minimization[J]. Journal of Optimization Theory and Applications, 1993,76(3) :501-521.
  • 4DUAN Q, SOROOSHIAN S, GUPTA V K. Optimal use of the SCE-UA optimization method for calibrating watershed models[J]. Journal of Hydrology, 1994,158 : 265-284.
  • 5ECKHARDT K, AMOLD J G. Automatic calibration of a distributed catchment model[J]. Journal of Hydrology, 2001,251 : 203-209.
  • 6NEWSHA K A, GUPTA H, WAGENER T, et al. Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system[J]. Journal of Hydrology,2004,298:112-135.
  • 7BEVEN K J, KIRKBY M J. A physically based variable contributing area model of basin hydrology[J]. Hydrological Bulletin, 1979,24: 43-69.
  • 8QUINN P, BEVEN K, CHEVALLIER P, et al. The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models[J]. Hydrological Processes, 1991, 5:59-79.

共引文献48

同被引文献1

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部