Benchmarking Three Event-Based Rainfall-Runoff Routing Models on Australian Catchments

被引:2
|
作者
Kemp, David [1 ]
Alankarage, Guna Hewa [1 ]
机构
[1] Univ South Australia, UniSA STEM, Mawson Lakes, Adelaide 5095, Australia
关键词
hydrology; models; HEC-HMS; RORB; RRR; flood; runoff; baseflow; benchmarking;
D O I
10.3390/hydrology10060131
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
In the field of hydrology, event-based models are commonly used for flood-flow prediction in catchments, for use in flood forecasting, flood risk assessment, and infrastructure design. The models are simplistic, as they do not consider longer-term catchment processes such as evaporation and transpiration. This paper examines the relative performance of two widely used models, the American HEC-HMS model, the Australian RORB model, and a newer model, the RRR model. The evaluation is conducted on four case study catchments in Australia. The first two models, HEC-HMS and RORB, do not include baseflow, necessitating the estimation of baseflow through alternate means. By contrast, the RRR model includes baseflow, by extracting a separate loss from the rainfall, and then routing the resultant flow through the catchment, much like quickflow, but with a longer delay time. The models are calibrated and then verified with weighted mean parameter values on an independent set of events in each case study catchment. This gives an indication of the ability of the models to correctly predict flow, which is important when the models are used with design rainfalls to predict design flows. The results demonstrate that all models perform adequately on the four examined catchments, but the RRR model exhibits superior calibration, and, to a lesser extent, better validation compared to the other two models.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Improved Runoff Estimation Using Event-Based Rainfall-Runoff Models
    Ajmal, Muhammad
    Waseem, Muhammad
    Ahn, Jae-Hyun
    Kim, Tae-Woong
    [J]. WATER RESOURCES MANAGEMENT, 2015, 29 (06) : 1995 - 2010
  • [2] Improved Runoff Estimation Using Event-Based Rainfall-Runoff Models
    Muhammad Ajmal
    Muhammad Waseem
    Jae-Hyun Ahn
    Tae-Woong Kim
    [J]. Water Resources Management, 2015, 29 : 1995 - 2010
  • [3] Performance Evaluation of Three Event-Based Rainfall-Runoff Models for a Small Tropical Watershed
    N. M. Sabitha
    Santosh G. Thampi
    D. Sathish Kumar
    [J]. Water Resources, 2022, 49 : 973 - 983
  • [4] Performance Evaluation of Three Event-Based Rainfall-Runoff Models for a Small Tropical Watershed
    Sabitha, N. M.
    Thampi, Santosh G.
    Kumar, D. Sathish
    [J]. WATER RESOURCES, 2022, 49 (06) : 973 - 983
  • [5] ANN and fuzzy logic models for simulating event-based rainfall-runoff
    Tayfur, Gokmen
    Singh, Vijay P.
    [J]. JOURNAL OF HYDRAULIC ENGINEERING, 2006, 132 (12) : 1321 - 1330
  • [6] Flood Frequency Analysis by an Event-based Rainfall-Runoff Model in Selected Catchments of Southern Poland
    Mlynski, Dariusz
    Petroselli, Andrea
    Walega, Andrzej
    [J]. SOIL AND WATER RESEARCH, 2018, 13 (03) : 170 - 176
  • [7] Rainfall-runoff response, event-based runoff coefficients and hydrograph separation
    Blume, Theresa
    Zehe, Erwin
    Bronstert, Axel
    [J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2007, 52 (05): : 843 - 862
  • [8] Event-based rainfall-runoff modelling of the Kelantan River Basin
    Basarudin, Z.
    Adnan, N. A.
    Latif, A. R. A.
    Tahir, W.
    Syafiqah, N.
    [J]. 8TH INTERNATIONAL SYMPOSIUM OF THE DIGITAL EARTH (ISDE8), 2014, 18
  • [9] Hierarchical testing of three rainfall-runoff models in small forested catchments
    Donnelly-Makowecki, LM
    Moore, RD
    [J]. JOURNAL OF HYDROLOGY, 1999, 219 (3-4) : 136 - 152
  • [10] Hierarchical testing of three rainfall-runoff models in small forested catchments
    Canadian Wildlife Service, Edmonton, Alta., Canada
    不详
    [J]. J. Hydrol., 1600, 3-4 (136-152):