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Data-Driven Modeling and the Influence of Objective Function Selection on Model Performance in Limited Data Regions.

Thelma Dede Baddoo1,2, Zhijia Li2, Yiqing Guan2

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|June 14, 2020
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Summary

The IHACRES model effectively simulates rainfall-runoff processes in data-scarce, semi-arid regions. Using hourly objective functions improves flood event simulation accuracy compared to daily scales.

Keywords:
ChinaIHACRESZhidan watersheddata-driven modelinghydromadobjective function selection

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Area of Science:

  • Hydrology
  • Environmental Modeling
  • Water Resource Management

Background:

  • Physical rainfall-runoff models require extensive data, posing challenges in data-scarce, semi-arid regions.
  • The Identification of Unit Hydrographs and Component Flows from Rainfall, Evapotranspiration and Streamflow data (IHACRES) model offers a viable alternative for rainfall-runoff simulation.
  • Objective functions are critical for model calibration, but their application at sub-daily scales is underexplored.

Purpose of the Study:

  • To implement the IHACRES model in the Zhidan semi-arid catchment in China using the 'hydromad' package in R.
  • To investigate the influence of objective function time scales (daily vs. hourly) on IHACRES model performance for flood event simulation.
  • To assess the general capability of the IHACRES model in simulating flood events under data limitations.

Main Methods:

  • Utilized the IHACRES model within the 'hydromad' R package for hydrological simulations.
  • Applied time-aggregated Nash-Sutcliffe efficiency objective functions at daily and hourly scales.
  • Calibrated and validated the model using streamflow data from the Zhidan catchment.

Main Results:

  • The hourly objective function demonstrated superior performance in simulating runoff during flood events compared to the daily objective function.
  • The IHACRES model exhibited excellent performance in the Zhidan watershed, indicating strong simulation capabilities.
  • The study confirmed the feasibility of using the IHACRES model for flood event simulation in data-limited, semi-arid environments.

Conclusions:

  • The IHACRES model is a feasible and effective tool for simulating rainfall-runoff processes in data-scarce, semi-arid regions.
  • Sub-daily objective functions, specifically hourly scales, enhance the accuracy of hydrological model calibration for flood events.
  • The findings support the application of the IHACRES model in similar catchments facing data limitations.