A comparative analysis of continuous and event-based hydrological modeling for streamflow hydrograph prediction

Acta Hydrologica Slovaca Pub Date : 2023-12-04 DOI:10.31577/ahs-2023-0024.02.0021

Mitra Tanhapour, Anna Liová, K. Hlavčová, S. Kohnová, Jaber Soltani, Bahram Malekmohammadi, Hadi Shakibian

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Abstract

A precise evaluation of streamflow hydrographs and their attributes is one of the key components of hydrological applications. This research investigates a comparative analysis between event-based and continuous hydrological modeling of streamflow using the HBV rainfall-runoff model. The Dez river basin in southwest Iran was selected as a case study. Model performance was examined for a total of nine streamflow events during time period 2012–2019. The results of the model were compared for event-based and continuous simulations of streamflow using goodness-of-fit measures involving Nash-Sutcliff efficiency (NSE), normalized root mean square error (NRMSE), and mean absolute percentage error (MAPE). Besides, the most sensitive parameters were identified using sensitivity analysis. Results revealed that although HBV model has a reliable performance for both modeling approaches, continuous modeling of streamflow hydrographs slightly outperforms the EB simulation approach. These outcomes provide an efficient information to improve the operation of water systems and hydrological forecasts.

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连续水文模型和基于事件的水文模型在预测河流水文图方面的比较分析

精确评估溪流水文图及其属性是水文应用的关键组成部分之一。本研究采用 HBV 降雨-径流模型，对基于事件的水文模型和连续水文模型进行了比较分析。研究选取了伊朗西南部的德兹河流域作为案例。在 2012-2019 年期间，共对 9 次河流流量事件进行了模型性能检验。采用纳什-苏特克利夫效率（NSE）、归一化均方根误差（NRMSE）和平均绝对百分比误差（MAPE）等拟合优度指标，比较了基于事件和连续模拟的模型结果。此外，还利用敏感性分析确定了最敏感的参数。结果表明，尽管 HBV 模型在两种建模方法中都具有可靠的性能，但连续建模的水流水文图略优于 EB 模拟方法。这些结果为改善水系统运行和水文预测提供了有效信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Acta Hydrologica Slovaca

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