Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada
Study region: Waterford River watershed, St. John’s, Newfoundland and Labrador (NL), Canada. Study focus: This study investigates five hydrological models to identify adequate model(s) for operational flood forecasting at Waterford River watershed. These models included three lumped conceptual model...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-02-01
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| Series: | Journal of Hydrology: Regional Studies |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581819300679 |
| _version_ | 1818133732384571392 |
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| author | Dayal Buddika Wijayarathne Paulin Coulibaly |
| author_facet | Dayal Buddika Wijayarathne Paulin Coulibaly |
| author_sort | Dayal Buddika Wijayarathne |
| collection | DOAJ |
| description | Study region: Waterford River watershed, St. John’s, Newfoundland and Labrador (NL), Canada. Study focus: This study investigates five hydrological models to identify adequate model(s) for operational flood forecasting at Waterford River watershed. These models included three lumped conceptual models (SAC-SMA: Sacramento Soil Moisture Accounting, GR4J: modèle du Génie Rural à 4 paramètres Journalier, and MAC-HBV: McMaster University Hydrologiska Byråns Vattenbalansavdelning), a semi-distributed model (HEC-HMS: Hydrologic Engineering Center’s Hydrologic Modeling System) and a fully distributed physically-based model (WATFLOOD: University of Waterloo Flood Forecasting System). The best model(s) were chosen by comparison of performance criteria. To verify the potential of the best performing hydrological models for operational use, deterministic hydrologic forecasts were performed. New hydrological insights for the region: All five models are capable of simulating streamflow reasonably well in both calibration and validation periods. The SAC-SMA and GR4J models perform equally well and perform better than the other three models for all low, medium, and peak flows. The SAC-SMA and GR4J models generally perform better for peak flows, followed by HEC-HMS. Streamflow forecast experiment using deterministic weather prediction shows that SAC-SMA, GR4J, and HEC-HMS models perform well for up to 1–3 days ahead forecasts and are recommended for operational use. However, due to the good performance of all five models, an ensemble forecasting using continuous, multiple hydrological models is also recommended. Keywords: Waterford River watershed, Flood forecasting, Hydrological models, Deterministic forecast |
| first_indexed | 2024-12-11T08:57:24Z |
| format | Article |
| id | doaj.art-6c2bd34f52344887915016068451f540 |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-12-11T08:57:24Z |
| publishDate | 2020-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-6c2bd34f52344887915016068451f5402022-12-22T01:13:51ZengElsevierJournal of Hydrology: Regional Studies2214-58182020-02-0127Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, CanadaDayal Buddika Wijayarathne0Paulin Coulibaly1School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1, Canada; Corresponding author.Jointly in School of Geography and Earth Sciences and Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1, CanadaStudy region: Waterford River watershed, St. John’s, Newfoundland and Labrador (NL), Canada. Study focus: This study investigates five hydrological models to identify adequate model(s) for operational flood forecasting at Waterford River watershed. These models included three lumped conceptual models (SAC-SMA: Sacramento Soil Moisture Accounting, GR4J: modèle du Génie Rural à 4 paramètres Journalier, and MAC-HBV: McMaster University Hydrologiska Byråns Vattenbalansavdelning), a semi-distributed model (HEC-HMS: Hydrologic Engineering Center’s Hydrologic Modeling System) and a fully distributed physically-based model (WATFLOOD: University of Waterloo Flood Forecasting System). The best model(s) were chosen by comparison of performance criteria. To verify the potential of the best performing hydrological models for operational use, deterministic hydrologic forecasts were performed. New hydrological insights for the region: All five models are capable of simulating streamflow reasonably well in both calibration and validation periods. The SAC-SMA and GR4J models perform equally well and perform better than the other three models for all low, medium, and peak flows. The SAC-SMA and GR4J models generally perform better for peak flows, followed by HEC-HMS. Streamflow forecast experiment using deterministic weather prediction shows that SAC-SMA, GR4J, and HEC-HMS models perform well for up to 1–3 days ahead forecasts and are recommended for operational use. However, due to the good performance of all five models, an ensemble forecasting using continuous, multiple hydrological models is also recommended. Keywords: Waterford River watershed, Flood forecasting, Hydrological models, Deterministic forecasthttp://www.sciencedirect.com/science/article/pii/S2214581819300679 |
| spellingShingle | Dayal Buddika Wijayarathne Paulin Coulibaly Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada Journal of Hydrology: Regional Studies |
| title | Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada |
| title_full | Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada |
| title_fullStr | Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada |
| title_full_unstemmed | Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada |
| title_short | Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada |
| title_sort | identification of hydrological models for operational flood forecasting in st john s newfoundland canada |
| url | http://www.sciencedirect.com/science/article/pii/S2214581819300679 |
| work_keys_str_mv | AT dayalbuddikawijayarathne identificationofhydrologicalmodelsforoperationalfloodforecastinginstjohnsnewfoundlandcanada AT paulincoulibaly identificationofhydrologicalmodelsforoperationalfloodforecastinginstjohnsnewfoundlandcanada |