Appropriate spatial variability of flood-producing variables in the joint probability approach to design flood estimation

Ataur Rahman; Don Carroll; Bruce Webb

Appropriate spatial variability of flood-producing variables in the joint probability approach to design flood estimation

Ataur Rahman
, Don Carroll
, Bruce Webb

School of Engineering, Design & Built Environment

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

This paper examines the effects of spatial variability of three flood-producing variables - rainfall duration, rainfall temporal pattern and initial losses on flood frequency curves using a Monte Carlo Simulation Technique. Conclusions drawn are specific to the study area in Victoria, Australia, and need to be verified for other parts of Australia.

Original language	English
Title of host publication	Hydrology: Science and Practice for the 21st Century: Proceedings of the British Hydrological Society International Conference held at Imperial College, London, 12-16 July 2004
Publisher	British Hydrological Society
Number of pages	6
ISBN (Print)	1903741122
Publication status	Published - 2004
Event	British Hydrological Society. International Conference - Duration: 1 Jan 2004 → …

Conference

Conference	British Hydrological Society. International Conference
Period	1/01/04 → …

Keywords

flood forecasting
flood control
Monte Carlo method
rainfall simulators
Victoria
Australia

Cite this

Rahman, A., Carroll, D., & Webb, B. (2004). Appropriate spatial variability of flood-producing variables in the joint probability approach to design flood estimation. In Hydrology: Science and Practice for the 21st Century: Proceedings of the British Hydrological Society International Conference held at Imperial College, London, 12-16 July 2004 British Hydrological Society.

Rahman, Ataur ; Carroll, Don ; Webb, Bruce. / Appropriate spatial variability of flood-producing variables in the joint probability approach to design flood estimation. Hydrology: Science and Practice for the 21st Century: Proceedings of the British Hydrological Society International Conference held at Imperial College, London, 12-16 July 2004. British Hydrological Society, 2004.

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title = "Appropriate spatial variability of flood-producing variables in the joint probability approach to design flood estimation",

abstract = "This paper examines the effects of spatial variability of three flood-producing variables - rainfall duration, rainfall temporal pattern and initial losses on flood frequency curves using a Monte Carlo Simulation Technique. Conclusions drawn are specific to the study area in Victoria, Australia, and need to be verified for other parts of Australia.",

keywords = "flood forecasting, flood control, Monte Carlo method, rainfall simulators, Victoria, Australia",

author = "Ataur Rahman and Don Carroll and Bruce Webb",

year = "2004",

language = "English",

isbn = "1903741122",

booktitle = "Hydrology: Science and Practice for the 21st Century: Proceedings of the British Hydrological Society International Conference held at Imperial College, London, 12-16 July 2004",

publisher = "British Hydrological Society",

note = "British Hydrological Society. International Conference ; Conference date: 01-01-2004",

}

Rahman, A, Carroll, D & Webb, B 2004, Appropriate spatial variability of flood-producing variables in the joint probability approach to design flood estimation. in Hydrology: Science and Practice for the 21st Century: Proceedings of the British Hydrological Society International Conference held at Imperial College, London, 12-16 July 2004. British Hydrological Society, British Hydrological Society. International Conference, 1/01/04.

Appropriate spatial variability of flood-producing variables in the joint probability approach to design flood estimation. / Rahman, Ataur; Carroll, Don; Webb, Bruce.
Hydrology: Science and Practice for the 21st Century: Proceedings of the British Hydrological Society International Conference held at Imperial College, London, 12-16 July 2004. British Hydrological Society, 2004.

Research output: Chapter in Book / Conference Paper › Conference Paper

TY - GEN

T1 - Appropriate spatial variability of flood-producing variables in the joint probability approach to design flood estimation

AU - Rahman, Ataur

AU - Carroll, Don

AU - Webb, Bruce

PY - 2004

Y1 - 2004

N2 - This paper examines the effects of spatial variability of three flood-producing variables - rainfall duration, rainfall temporal pattern and initial losses on flood frequency curves using a Monte Carlo Simulation Technique. Conclusions drawn are specific to the study area in Victoria, Australia, and need to be verified for other parts of Australia.

AB - This paper examines the effects of spatial variability of three flood-producing variables - rainfall duration, rainfall temporal pattern and initial losses on flood frequency curves using a Monte Carlo Simulation Technique. Conclusions drawn are specific to the study area in Victoria, Australia, and need to be verified for other parts of Australia.

KW - flood forecasting

KW - flood control

KW - Monte Carlo method

KW - rainfall simulators

KW - Victoria

KW - Australia

UR - http://handle.uws.edu.au:8081/1959.7/44668

M3 - Conference Paper

SN - 1903741122

BT - Hydrology: Science and Practice for the 21st Century: Proceedings of the British Hydrological Society International Conference held at Imperial College, London, 12-16 July 2004

PB - British Hydrological Society

T2 - British Hydrological Society. International Conference

Y2 - 1 January 2004

ER -

Appropriate spatial variability of flood-producing variables in the joint probability approach to design flood estimation

Abstract

Conference

Keywords

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