Modelling hydrological losses for varying rainfall and moisture conditions in South Australian catchments
Study region: The study is based on unregulated catchments located in Mt. Lofty, Northern and Yorke regions of South Australia (SA). Study focus: Hydrological losses, which are frequently used in design flood estimation, have a wide range of spatial and temporal variability. However, the current pra...
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| Format: | Article |
| Language: | English |
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Elsevier
2015-09-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581815000348 |
| _version_ | 1818030663764279296 |
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| author | S.H.P.W. Gamage G.A. Hewa S. Beecham |
| author_facet | S.H.P.W. Gamage G.A. Hewa S. Beecham |
| author_sort | S.H.P.W. Gamage |
| collection | DOAJ |
| description | Study region: The study is based on unregulated catchments located in Mt. Lofty, Northern and Yorke regions of South Australia (SA).
Study focus: Hydrological losses, which are frequently used in design flood estimation, have a wide range of spatial and temporal variability. However, the current practice for many design applications is to use a single loss value. Adopting a single representative value for loss is likely to introduce a high degree of uncertainty and potential bias. This paper identifies the relationships between losses and other parameters that can be incorporated in hydrological models to make reasonably accurate estimates of the losses. This paper assesses the variability of losses and identifies a method that can model initial loss (IL) using the parameters total rainfall (TR), rainfall duration (D) and antecedent wetness (AW). This study is based on 1162 rainfall events from the selected catchments.
New hydrological insights for the region: This paper introduces two nomographs, TR–D and TR–AW, which are implemented using k-colour maps and a central tendency method. The developed methods are then validated using the rainfall runoff model, Water Bound Network Model (WBNM). This study will yield improvements to existing loss models by utilising rainfall and antecedent data, instead of using representative values to generalise real situations. |
| first_indexed | 2024-12-10T05:39:10Z |
| format | Article |
| id | doaj.art-7e2dc4e8ee314c6493f3a587ccbac7e9 |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-12-10T05:39:10Z |
| publishDate | 2015-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-7e2dc4e8ee314c6493f3a587ccbac7e92022-12-22T02:00:21ZengElsevierJournal of Hydrology: Regional Studies2214-58182015-09-014PB12110.1016/j.ejrh.2015.04.005Modelling hydrological losses for varying rainfall and moisture conditions in South Australian catchmentsS.H.P.W. Gamage0G.A. Hewa1S. Beecham2School of Natural and Built Environments, University of South Australia, Adelaide, SA 5095, AustraliaSchool of Natural and Built Environments, University of South Australia, Adelaide, SA 5095, AustraliaSchool of Natural and Built Environments, University of South Australia, Adelaide, SA 5095, AustraliaStudy region: The study is based on unregulated catchments located in Mt. Lofty, Northern and Yorke regions of South Australia (SA). Study focus: Hydrological losses, which are frequently used in design flood estimation, have a wide range of spatial and temporal variability. However, the current practice for many design applications is to use a single loss value. Adopting a single representative value for loss is likely to introduce a high degree of uncertainty and potential bias. This paper identifies the relationships between losses and other parameters that can be incorporated in hydrological models to make reasonably accurate estimates of the losses. This paper assesses the variability of losses and identifies a method that can model initial loss (IL) using the parameters total rainfall (TR), rainfall duration (D) and antecedent wetness (AW). This study is based on 1162 rainfall events from the selected catchments. New hydrological insights for the region: This paper introduces two nomographs, TR–D and TR–AW, which are implemented using k-colour maps and a central tendency method. The developed methods are then validated using the rainfall runoff model, Water Bound Network Model (WBNM). This study will yield improvements to existing loss models by utilising rainfall and antecedent data, instead of using representative values to generalise real situations.http://www.sciencedirect.com/science/article/pii/S2214581815000348Hydrological lossesRainfallStorm durationAntecedent wetness |
| spellingShingle | S.H.P.W. Gamage G.A. Hewa S. Beecham Modelling hydrological losses for varying rainfall and moisture conditions in South Australian catchments Journal of Hydrology: Regional Studies Hydrological losses Rainfall Storm duration Antecedent wetness |
| title | Modelling hydrological losses for varying rainfall and moisture conditions in South Australian catchments |
| title_full | Modelling hydrological losses for varying rainfall and moisture conditions in South Australian catchments |
| title_fullStr | Modelling hydrological losses for varying rainfall and moisture conditions in South Australian catchments |
| title_full_unstemmed | Modelling hydrological losses for varying rainfall and moisture conditions in South Australian catchments |
| title_short | Modelling hydrological losses for varying rainfall and moisture conditions in South Australian catchments |
| title_sort | modelling hydrological losses for varying rainfall and moisture conditions in south australian catchments |
| topic | Hydrological losses Rainfall Storm duration Antecedent wetness |
| url | http://www.sciencedirect.com/science/article/pii/S2214581815000348 |
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