Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Alternative Method for Estimating the Peak Flow for a Regional Catchment Considering the Uncertainty through Continuous Simulation

Version 1 : Received: 17 August 2023 / Approved: 18 August 2023 / Online: 18 August 2023 (10:23:06 CEST)

A peer-reviewed article of this Preprint also exists.

Brown, I.; McDougall, K.; Chadalavada, S.; Alam, M.J. An Alternative Method for Estimating the Peak Flow for a Regional Catchment Considering the Uncertainty via Continuous Simulation. Water 2023, 15, 3355. Brown, I.; McDougall, K.; Chadalavada, S.; Alam, M.J. An Alternative Method for Estimating the Peak Flow for a Regional Catchment Considering the Uncertainty via Continuous Simulation. Water 2023, 15, 3355.

Abstract

Estimating peak flow for a catchment is commonly undertaken using the design event method, however this method does not allow for the understanding of uncertainty in the result. This research first presents a simplified method of fragments approach to rainfall disaggregation that ignores the need to consider seasonality, offering a greater diversity in storm patterns within the resulting sub-daily rainfall. By simulating 20 iterations of the disaggregated sub-daily rainfall within a calibrated continuous simulation hydrologic model, we were able to produce multiple long series of stream flow at the outlet of the catchment. With this data, we investigated the use of both the annual maximum and peaks over threshold approaches to flood frequency analysis and found that for a one in 100 year annual exceedance probability peak flow, the peaks over threshold method (333m3/s ±50m3/s) was significantly less uncertain than the annual maximum method (427m3/s ±100m3/s). For the one in 100 year annual exceedance probability, the median peak flow from the peaks over threshold method (333m3/s) produced an outcome comparable to the design event method peak flow (328m3/s), indicating that this research offers an alternative approach to estimating peak flow, with the additional benefit of understanding the uncertainty in the estimation. Finally, the paper highlighted the impact that length and period of streamflow has on peak flow estimation and noted that previous assumptions around the minimum length of gauged streamflow required for flood frequency analysis may not be appropriate in particular catchments.

Keywords

Uncertainty; Flood Frequency; Rainfall Disaggregation; Peak Flow Continuous Simulation

Subject

Engineering, Civil Engineering

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