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Dissertation (MSc (Applied Science: Water Resources))--University of Pretoria, 2023.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2023
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| _version_ | 1867613483537793024 |
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| access_status_str | Open Access |
| author2 | Loots, Ione |
| author_browse | Loots, Ione |
| author_facet | Loots, Ione |
| collection | Thesis |
| dc_rights_str_mv | © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc (Applied Science: Water Resources))--University of Pretoria, 2023. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/89452 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:52.135Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/89452 Development of appropriate synthetic design storms for small catchments in Gauteng, South Africa Loots, Ione jvs.mouton@gmail.com Smithers, Jeffrey Colin Mouton, Jacobus van Staden UCTD Synthetic design storm Chicago Design Storm SCS-SA Single event-based modeling Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities Dissertation (MSc (Applied Science: Water Resources))--University of Pretoria, 2023. Urban stormwater drainage networks are frequently analysed in dynamic rainfall-runoff simulation models. These models use hypothetical rainstorm events (synthetic design storms) as input in the case of single event-based modelling. A significant number of methods to generate synthetic design storms are described in the literature. However, due to the abundance of methods some engineers are likely to base their method choice on familiarity with a method and preference. This could lead to the selection of an inappropriate synthetic design storm that will generate unrealistic peak discharge results. Therefore, the need to develop appropriate synthetic design storms applicable to single event-based modelling of small urban catchments in South Africa was identified. The aim of this study was to test the performance of the existing methods, and to identify the method, or methods, best suited for single event-based modelling of small urban catchments in the selected pilot study area. The completeness of the data was assessed, at-site design rainfall was determined, storm events were identified and analysed to obtain the general storm parameters, and synthetic design storms were generated and compared with the observed rainfall mass curves. The performance was evaluated based on the shape of the storm and the intensity, whereas the peak discharge and the runoff volume was evaluated using dynamic rainfall-runoff simulation models. The Mean Absolute Relative Error (MARE) was used as a measure to determine the Goodness-of-Fit (GOF) of the data. It was concluded that the Chicago Design Storm and SCS-SA curves are most suited for single event-based models. Improvements to the Chicago Design Storm and SCS-SA curves are proposed to better simulate design rainfall events and guidance is provided for further refinement. This research was conducted using the short duration rainfall data provided by the South African Weather Service (SAWS). Permission to use the material is gratefully acknowledged. The Water Research Commission (WRC) is thanked for financial support for WRC Project 3021/1/22 title “Assessment and development of synthetic design storms for use in Urban environments: Gauteng pilot study“. Civil Engineering MSc (Applied Science: Water Resources) Unrestricted 2023-02-13T13:14:09Z 2023-02-13T13:14:09Z 2023-04 2023 Dissertation * A2023 https://repository.up.ac.za/handle/2263/89452 10.25403/UPresearchdata.22082336 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Synthetic design storm Chicago Design Storm SCS-SA Single event-based modeling Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities Development of appropriate synthetic design storms for small catchments in Gauteng, South Africa |
| title | Development of appropriate synthetic design storms for small catchments in Gauteng, South Africa |
| title_full | Development of appropriate synthetic design storms for small catchments in Gauteng, South Africa |
| title_fullStr | Development of appropriate synthetic design storms for small catchments in Gauteng, South Africa |
| title_full_unstemmed | Development of appropriate synthetic design storms for small catchments in Gauteng, South Africa |
| title_short | Development of appropriate synthetic design storms for small catchments in Gauteng, South Africa |
| title_sort | development of appropriate synthetic design storms for small catchments in gauteng south africa |
| topic | UCTD Synthetic design storm Chicago Design Storm SCS-SA Single event-based modeling Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities |
| url | https://repository.up.ac.za/handle/2263/89452 |