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Technology development for sustainable use of stormwater using numerical modelling

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posted on 2023-11-02, 01:41 authored by Fatema Akram
Runoff estimation is very important for adequate management of stormwater; however runoff assessment is not simple for those catchments where there is a lack of data. Australian Rainfall and Runoff recommended several methods for estimating runoff which are explicitly suitable for particular regions of Australia. Unfortunately there is no regional equation available specifically for Queensland. Moreover, stream gauges in Australian catchments are relatively sparse, and many catchments are crisscrossed by numerous rivers. This study attracted the author’s attention because it was viewed as essential in the Australian context to have a reliable methodology for estimating runoff from ungauged catchments. The main aim of this study is to develop a technology for reusing stormwater for irrigation purposes, especially in an ungauged catchment. This study presents a new approach for stormwater runoff quantification from an ungauged catchment where there is no regional equation available, through developing a hydrologic-hydraulic integrated model, applying Geographical Information Systems (GIS) and numerical modelling techniques. Using the simulated stormwater runoff, the necessary stormwater pond volume is calculated and a typical design of pond is suggested to reuse the stored stormwater for irrigation purposes of a case study area.

History

Editor

Citizen J

Location

Central Queensland Unversity

Additional Rights

I hereby grant to Central Queensland University or its agents the right to archive and to make available my thesis or dissertation in whole or in part through Central Queensland University’s Institutional Repository, ACQUIRE, in all forms of media, now or hereafter known. I retain all copyright, including the right to use future works (such as articles or books), all or part of this thesis or dissertation.

Open Access

  • Yes

Era Eligible

  • No

Supervisor

Associate Professor Mohammad Golam Rasul ; Professor Masud Kamal Khan

Thesis Type

  • Doctoral Thesis

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