Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling
Event-based hydrological models are extensively adopted for the estimation of design floods and in operational flood forecasting frameworks. However, an accurate estimation of the initial hydrologic condition (IHC) is essential in enhancing the predictive capability of an event-based hydrological mo...
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| Format: | Article |
| Language: | English |
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IWA Publishing
2023-07-01
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| Series: | Journal of Water and Climate Change |
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| Online Access: | http://jwcc.iwaponline.com/content/14/7/2277 |
| _version_ | 1797202719226724352 |
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| author | Velpuri Manikanta N. V. Umamahesh |
| author_facet | Velpuri Manikanta N. V. Umamahesh |
| author_sort | Velpuri Manikanta |
| collection | DOAJ |
| description | Event-based hydrological models are extensively adopted for the estimation of design floods and in operational flood forecasting frameworks. However, an accurate estimation of the initial hydrologic condition (IHC) is essential in enhancing the predictive capability of an event-based hydrological model. Hence, in this study, IHCs of an event-based conceptual model are estimated using two different methods: (1) assimilation of observed variables such as streamflow and soil moisture using an ensemble Kalman filter and (2) states obtained from the continuous model calibrated using four different calibration metrics. The observed flood events at the Jagdalpur catchment are simulated using a conceptual hydrologic model setup at two spatial resolutions (lumped and semi-distributed). The results of the study demonstrate that IHCs estimated by the continuous models perform better than those obtained through data assimilation. The performance of semi-distributed event-based models was found to be outperforming their lumped counterparts demonstrating the advantage of increased model resolution. The states obtained from the continuous models calibrated using Nash–Sutcliffe Efficiency (NSE) are performing well in initialising the event-based models. The median efficiency of the semi-distributed event-based model (based on states from the NSE calibrated continuous model) is 0.91 and 0.77 during calibration and validation periods, respectively.
HIGHLIGHTS
Methods to estimate the initial hydrologic condition (IHC) to initialise event-based models were evaluated.;
Streamflow assimilation in both lumped and semi-distributed models led to improved simulations.;
Soil moisture assimilation yielded slightly better predictions in the semi-distributed model.;
Semi-distributed event-based model, initialised by IHCs extracted from the corresponding continuous model, is outperforming other models.; |
| first_indexed | 2024-03-12T15:24:23Z |
| format | Article |
| id | doaj.art-11b8785b3e78473093486007e857b4cf |
| institution | Directory Open Access Journal |
| issn | 2040-2244 2408-9354 |
| language | English |
| last_indexed | 2024-04-24T08:07:54Z |
| publishDate | 2023-07-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Water and Climate Change |
| spelling | doaj.art-11b8785b3e78473093486007e857b4cf2024-04-17T08:30:24ZengIWA PublishingJournal of Water and Climate Change2040-22442408-93542023-07-011472277229310.2166/wcc.2023.043043Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modellingVelpuri Manikanta0N. V. Umamahesh1 Department of Civil Engineering, National Institute of Technology Warangal, Warangal, Telangana 506004, India Department of Civil Engineering, National Institute of Technology Warangal, Warangal, Telangana 506004, India Event-based hydrological models are extensively adopted for the estimation of design floods and in operational flood forecasting frameworks. However, an accurate estimation of the initial hydrologic condition (IHC) is essential in enhancing the predictive capability of an event-based hydrological model. Hence, in this study, IHCs of an event-based conceptual model are estimated using two different methods: (1) assimilation of observed variables such as streamflow and soil moisture using an ensemble Kalman filter and (2) states obtained from the continuous model calibrated using four different calibration metrics. The observed flood events at the Jagdalpur catchment are simulated using a conceptual hydrologic model setup at two spatial resolutions (lumped and semi-distributed). The results of the study demonstrate that IHCs estimated by the continuous models perform better than those obtained through data assimilation. The performance of semi-distributed event-based models was found to be outperforming their lumped counterparts demonstrating the advantage of increased model resolution. The states obtained from the continuous models calibrated using Nash–Sutcliffe Efficiency (NSE) are performing well in initialising the event-based models. The median efficiency of the semi-distributed event-based model (based on states from the NSE calibrated continuous model) is 0.91 and 0.77 during calibration and validation periods, respectively. HIGHLIGHTS Methods to estimate the initial hydrologic condition (IHC) to initialise event-based models were evaluated.; Streamflow assimilation in both lumped and semi-distributed models led to improved simulations.; Soil moisture assimilation yielded slightly better predictions in the semi-distributed model.; Semi-distributed event-based model, initialised by IHCs extracted from the corresponding continuous model, is outperforming other models.;http://jwcc.iwaponline.com/content/14/7/2277data assimilationevent-based modelflood predictioninitial conditionssoil moisturestreamflow |
| spellingShingle | Velpuri Manikanta N. V. Umamahesh Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling Journal of Water and Climate Change data assimilation event-based model flood prediction initial conditions soil moisture streamflow |
| title | Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling |
| title_full | Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling |
| title_fullStr | Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling |
| title_full_unstemmed | Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling |
| title_short | Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling |
| title_sort | performance assessment of methods to estimate initial hydrologic conditions for event based rainfall runoff modelling |
| topic | data assimilation event-based model flood prediction initial conditions soil moisture streamflow |
| url | http://jwcc.iwaponline.com/content/14/7/2277 |
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