Brown, I. W. and McDougall, K. ORCID: https://orcid.org/0000-0001-6088-1004 and Alam, Md. Jahangir
ORCID: https://orcid.org/0000-0001-6621-4720 and Chowdhury, R. and Chadalavada, S.
ORCID: https://orcid.org/0000-0002-5000-8313
(2022)
Calibration of a continuous hydrologic simulation model in the
urban Gowrie Creek catchment in Toowoomba, Australia.
Journal of Hydrology: Regional Studies, 40:101021.
pp. 1-16.
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Abstract
Study region: Toowoomba, Queensland, Australia Study focus: In this study we derive loss model parameters suitable for use in the dynamic loss Australian Representative Basin Model (ARBM) through the calibration of a continuous simulation hydrologic model. We compare the derived parameters to those published in the literature, and our results highlight the need to develop a database of calibrated loss parameters for urban catchments. New hydrological insights: The development of design storms for flood modelling commonly uses the initial loss/continuous loss model to estimate the conversion of rainfall to runoff. This loss model, when applied to pervious areas, uses parameters that have been calibrated for gauged rural catchments. These same parameters are often applied to the pervious component of ungauged urban catchments with minimal understanding of the resulting impact on runoff. This research uses a continuous simulation modelling approach to calibrate parameters suitable for use in the ARBM loss model built into the hydrological modelling software XPRAFTS. Through a two-stage calibration approach, the model offered a satisfactory fit (Nash Sutcliffe Efficiency > 0.5) for 9 of the 11 selected storm events, with seven events exceeding a Nash Sutcliffe Efficiency of 0.75. Events used in the calibration/validation included peak flows as low as 9 m3/s and as high as 600 m3/s. Developing these loss model parameters offers new insights into the suitability of a dynamic loss model approach in an urban catchment in regional Australia and provides an alternative to the parameters already available in the literature which were found to overestimate the peak flow in frequent events.
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Item Type: | Article (Commonwealth Reporting Category C) |
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Refereed: | Yes |
Item Status: | Live Archive |
Faculty/School / Institute/Centre: | Current – Faculty of Health, Engineering and Sciences - School of Surveying and Built Environment (1 Jan 2022 -) |
Faculty/School / Institute/Centre: | Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -) |
Date Deposited: | 06 Mar 2022 23:36 |
Last Modified: | 22 Mar 2022 04:11 |
Uncontrolled Keywords: | Calibration; Continuous simulation; Loss |
Fields of Research (2020): | 40 ENGINEERING > 4005 Civil engineering > 400513 Water resources engineering 37 EARTH SCIENCES > 3707 Hydrology > 370705 Urban hydrology 40 ENGINEERING > 4013 Geomatic engineering > 401302 Geospatial information systems and geospatial data modelling |
Socio-Economic Objectives (2020): | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280110 Expanding knowledge in engineering 19 ENVIRONMENTAL POLICY, CLIMATE CHANGE AND NATURAL HAZARDS > 1904 Natural hazards > 190404 Hydrological hazards (e.g. avalanches and floods) |
Identification Number or DOI: | https://doi.org/10.1016/j.ejrh.2022.101021 |
URI: | http://eprints.usq.edu.au/id/eprint/47075 |
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