Regional flood frequency analysis based on peaks-over-threshold approach: A case study for South-Eastern Australia

被引:7
|
作者
Pan, Xiao [1 ]
Rahman, Ataur [1 ,4 ]
Haddad, Khaled [1 ]
Ouarda, Taha B. M. J. [2 ]
Sharma, Ashish [3 ]
机构
[1] Western Sydney Univ, Sch Engn Design & Built Environm, Sydney, Australia
[2] Natl Inst Sci Res INRS, Quebec City, PQ, Canada
[3] Univ New South Wales, Sch Civil & Environm Engn, Sydney, NSW, Australia
[4] Western Sydney Univ, Sch Engn Design & Built Environm, Bldg XB, Second Ave, Kingswood, NSW 2751, Australia
关键词
Floods; Peaks over threshold; Annual maximum flood; Regional flood frequency analysis; Australia; Very frequent floods; GENERALIZED LEAST-SQUARES; NON-STATIONARITY; VARIABILITY; RAINFALL; QUANTILE; SERIES;
D O I
10.1016/j.ejrh.2023.101407
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: Southeast Australia Study focus: Regional flood frequency analysis (RFFA) is a widely adopted statistical method to estimate design floods in ungauged catchments. Annual maximum flood (AMF) model is the most popular method in developing RFFA techniques. However, the AMF-based approaches are criticised for its limitations in the range of very frequent to frequent flood estimation. As an alternative, the peaks-over-threshold (POT) based approach has shown theoretical advantages in this flood range. POT based RFFA is currently underemployed internationally due to its complexity in modelling. This study develops POT-based RFFA techniques for south-eastern Australia using data from 151 catchments. A comparison is made between ordinary least squares (OLS) and weighted least squares (WLS) methods in developing POT-based RFFA techniques. New hydrological insights for the region: The OLS based method is found to perform better than the WLS. The median relative error values of the developed prediction equations range 31-38%. The new POT-based RFFA technique overcomes the limitations of the current Australian Rainfall and Runoff, which does not have any RFFA technique for very frequent floods. It is expected that these new POT-based RFFA technique will be used in practice in south-east Australia.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] A Colourimetric Approach to Ecological Remote Sensing: Case Study for the Rainforests of South-Eastern Australia
    Aravena, Ricardo A.
    Lyons, Mitchell B.
    Roff, Adam
    Keith, David A.
    REMOTE SENSING, 2021, 13 (13)
  • [22] Applicability of Wakeby distribution in flood frequency analysis: a case study for eastern Australia
    Rahman, Ataur
    Zaman, Mohammad A.
    Haddad, Khaled
    El Adlouni, Salaheddine
    Zhang, Chi
    HYDROLOGICAL PROCESSES, 2015, 29 (04) : 602 - 614
  • [23] Application of Principal Component Analysis and Cluster Analysis in Regional Flood Frequency Analysis: A Case Study in New South Wales, Australia
    Rahman, Ayesha S.
    Rahman, Ataur
    WATER, 2020, 12 (03) : 1 - 26
  • [24] Low-Flow Identification in Flood Frequency Analysis: A Case Study for Eastern Australia
    Rima, Laura
    Haddad, Khaled
    Rahman, Ataur
    WATER, 2024, 16 (04)
  • [25] A Vulnerability-Based, Bottom-up Assessment of Future Riverine Flood Risk Using a Modified Peaks-Over-Threshold Approach and a Physically Based Hydrologic Model
    Knighton, James
    Steinschneider, Scott
    Walter, M. Todd
    WATER RESOURCES RESEARCH, 2017, 53 (12) : 10043 - 10064
  • [26] The sensitivity of lizards to elevation: A case study from south-eastern Australia
    Fischer, J
    Lindenmayer, DB
    DIVERSITY AND DISTRIBUTIONS, 2005, 11 (03) : 225 - 233
  • [27] Application of artificial neural networks in regional flood frequency analysis: a case study for Australia
    K. Aziz
    A. Rahman
    G. Fang
    S. Shrestha
    Stochastic Environmental Research and Risk Assessment, 2014, 28 : 541 - 554
  • [28] Application of artificial neural networks in regional flood frequency analysis: a case study for Australia
    Aziz, K.
    Rahman, A.
    Fang, G.
    Shrestha, S.
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2014, 28 (03) : 541 - 554
  • [29] An observational and numerical study of a flash-flood event over south-eastern Italy
    Miglietta, M. M.
    Regano, A.
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2008, 8 (06) : 1417 - 1430
  • [30] Analysis of extreme water levels on Feiyun River (Rui'an section) based on peaks-over-threshold (POT) model
    Qin, Zipeng
    Tian, Yan
    Wei, Yanji
    Chen, Zhenglin
    Zhu, Xiaoying
    Chen, Qianfu
    Huang, Weixing
    Yu, Rong
    Cheng, Xiang
    HYDROLOGICAL SCIENCES JOURNAL, 2025, 70 (02) : 261 - 277