Regional flood modelling in Western Australia: Application of regression based methods using ordinary least squares | Zendy

Melanie Taylor | Zendy; Khaled Haddad | Zendy; Mohammad Zaman | Zendy; Ataur Rahman | Zendy

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Regional flood modelling in Western Australia: Application of regression based methods using ordinary least squares

Author(s) -

Melanie Taylor,

Khaled Haddad,

Mohammad Zaman,

Ataur Rahman

Publication year - 2011

Publication title -

chan, f., marinova, d. and anderssen, r.s. (eds) modsim2011, 19th international congress on modelling and simulation.

Language(s) - English

Resource type - Conference proceedings

DOI - 10.36334/modsim.2011.i8.taylor

Subject(s) - ordinary least squares , flood myth , computer science , regression , regression analysis , partial least squares regression , generalized least squares , statistics , mathematics , geography , machine learning , archaeology , estimator

Flooding is one of Australia’s costliest natural disasters, which on average costs around $AUD400 million annually. In 2010-2011 alone, the cost of flood damage has exceeded $AUD20 billion. Flood estimation is therefore crucial in assessing and managing flood risks. Flood Frequency Analysis (FFA) is one of the most commonly adopted techniques used to estimate floods with an associated frequency, known as design floods. These design floods are used in the planning and design of water infrastructure projects, along with various floodplain planning regulations.

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