HydroPol2D -- Distributed Hydrodynamic and Water Quality Model: Challenges and Opportunities in Poorly-Gauged Catchments

Marcus Nóbrega Gomes Jr., César Ambrogi Ferreira do Lago, Luis Miguel Castillo Rápalo, Paulo Tarso S. Oliveira, Marcio Hofheinz Giacomoni, Eduardo Mario Mendiondo
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Abstract

Floods are one of the deadliest natural hazards and are fueled by excessive urbanization. Urban development decreases infiltration by reducing pervious areas and increases the accumulation of pollutants during dry weather. During wet weather events, there is an increase in the levels of pollution concentrations and stormwater runoff that eventually reach creeks and rivers. Polluted stormwater runoff may be sources of water supply. Modeling the quantity and quality dynamics of stormwater runoff requires a coupled hydrodynamic module capable of estimating the transport and fate of pollutants. In this paper, we evaluate the applicability of a distributed hydrodynamic model coupled with a water quality model (HydroPol2D). First, the model is compared to GSSHA and WCA2D in the V-Tilted catchment, and the limitation of the critical velocity of WCA2D is investigated. We also applied the model in a laboratory wooden board catchment, focusing on the validation of the numerical approach to simulate water quality dynamics. Then, we apply HydroPol2D in the Tijuco Preto catchment, in Sao Carlos - Brazil, and compare the modeling results with the full momentum solver of the Hydrologic Engineering Center - River System Analysis (HEC-RAS). The model implementation, the governing equations, and the estimation of input data are discussed, indicating the challenges and opportunities of the application of distributed models in poorly-gauged catchments. For a 1-yr return period of rainfall and antecedent dry days and assuming an uncertainty of $40\%$ in the water quality parameters, the results indicate that the maximum concentration of total suspended solids (TSS), the maximum load and the mass of the pollutant washed in $30\%$ of the volume are, $456~\pm~260~\mathrm{mg.L^{-1}.km^{-2}}$, $\mathrm{2.56 \pm 0.4~kg.s^{-1}.km^{-2}}$, and $\mathrm{89\%~\pm~10\%}$, respectively.
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HydroPol2D—分布式水动力和水质模型:在测量较差的集水区面临的挑战和机遇
洪水是最致命的自然灾害之一,是过度城市化造成的。城市发展通过减少透水面积来减少渗透,并在干燥天气增加污染物的积累。在潮湿天气期间,污染浓度和最终到达小溪和河流的雨水径流水平会增加。被污染的雨水径流可能是供水的来源。模拟雨水径流的数量和质量动力学需要一个耦合的水动力学模块,能够估计污染物的运输和命运。在本文中,我们评估了与水质模型(HydroPol2D)耦合的分布式水动力模型的适用性。首先,将该模型与v型倾斜流域的GSSHA和WCA2D模型进行了比较,研究了WCA2D模型的临界流速限制。我们还将该模型应用于实验室木板集水区,重点验证了数值方法模拟水质动力学的有效性。然后,我们将HydroPol2D应用于巴西圣卡洛斯的tijuco Preto流域,并将建模结果与水文工程中心-河流系统分析(HEC-RAS)的全动量求解器进行比较。讨论了模型的实现、控制方程和输入数据的估计,指出了分布式模型在测量不佳的流域应用的挑战和机遇。以1年的降雨和干旱天数为周期,假设水质参数的不确定性为40%,结果表明,总悬浮物(TSS)的最大浓度、最大负荷和在30%的体积中冲刷的污染物的质量分别为:456~ 4pm ~260~ 6ma {mg.L^{-1}。Km ^{-2}}$, $\ mathm {2.56 \pm0.4~kg.s^{-1}。公里^ {2}}$,$ \ mathrm{89 \ % ~ \点~ 10 \ %}$,分别。
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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