大尺度泥沙模型的离散化方法:基于空间尺度水沙变率的校准策略

Pub Date : 2023-04-14 DOI:10.1590/2318-0331.282320220088
R. B. Rossoni, F. Fan
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引用次数: 0

摘要

观测数据和校准策略的缺乏、尺度的可变性以及表征沉积过程非均质性的困难,是在水文沉积学建模中获得令人满意结果的常见挑战,特别是在大规模应用MUSLE方程时。因此,我们研究了五个主要主题:(1)基于沉积过程的参数化技术(水文-沉积响应单元图- HRUSed);(2)不同过程参数化的水文模拟质量;(3)基于泥沙离散化方法的水文-沉积模型定标策略;(4)利用悬沙浓度(SSC)和悬沙流量(SSD)数据进行校准;(5)在提高大尺度模型的空间分辨率和使用所提出的HRUSed离散化之间进行权衡。目前的研究证明了(1)南美洲的HRUSed地图和(2)使用水文或水文沉积离散化方法进行大尺度水文建模的类似性能。(3) HRUSed离散化方法获得了较好的水文-沉积模拟结果。(4)我们改进了HRUSed (SSC和SSD结果)和HRU(水文响应单元图)仅针对SSD结果的模型性能。(5)只有更详细的空间离散化不能改善过程表征。然而,基于水文-沉积动力学过程参数化方法的空间离散化提高了模型的性能。
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Discretization approach for large-scale sediment modeling: calibration strategies based on hydro-sediment variability at a range of spatial scales
ABSTRACT The lack of observed data and calibration strategies, scale variability, and difficulties in representing heterogeneity of sediment-processes contribute to the usual challenges in achieving satisfactory results in hydro-sedimentological modeling, particularly when using the MUSLE equation for large-scale applications. As a consequence, we investigated five major topics: (1) a sediment-process-based parameterization technique (Hydro-sedimentological Response Unit map - HRUSed); (2) the quality of hydrological modeling with different process-focused parameterizations; (3) a calibration strategy based on the sediment discretization approach for hydro-sedimentological modeling; (4) the use of suspended sediment concentration (SSC) versus suspended sediment discharge (SSD) data for calibration; and (5) trade-offs between increasing the spatial resolution of a large-scale model and using the proposed HRUSed discretization. The current study demonstrated (1) the HRUSed map for South America and (2) a similar performance of large-scale hydrological modeling using a hydrological or hydro-sedimentological discretization approach. (3) The HRUSed discretization approach produced better hydro-sedimentological modeling results. (4) We improved the model’s performance for HRUSed (SSC and SSD results) and for HRU (Hydrological Response Unit map) only for SSD results. (5) Only more detailed spatial discretization has failed to improve process representation. However, increased spatial discretization with a process-parameterization approach focused on hydro-sedimentological dynamics improved model performance.
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