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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
1State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.
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.
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.
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