Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027702 |
An alternative approach for improving prediction of integrated hydrologic-hydraulic models by assessing the impact of intrinsic spatial scales | |
Siddharth Saksena; Venkatesh Merwade; Peter J. Singhofen | |
2021-09-21 | |
发表期刊 | Water Resources Research |
出版年 | 2021 |
英文摘要 | The effect of spatial scale and resolution has been quantified individually for different hydrologic and hydraulic processes. However, the model structure and intrinsic resolution are seldom modified to accurately capture scale-dependent physical processes. Although automated calibration methods exist for computationally expensive integrated models, an alternate approach reliant on improving the model structure is proposed here. This study advocates for a better representation of the intrinsic spatial scales of physical processes and their sub-models by quantifying the impact of different types of spatial scaling on the overall watershed response. First, the effect of spatial extent scaling is quantified by evaluating the change in the basin response (e.g., streamflow and inundation extent) across a small and large sub-watershed for the same region. Second, the effect of modifying the relative intrinsic spatial scales of surface-groundwater (SW-GW) sub-models is quantified. Finally, the results are used to implement a better model structure for improving prediction across two watersheds with distinct physical characteristics. The findings suggest that the relative intrinsic scales of SW-GW sub-models may be different for different hydrogeological systems depending on the ratio of the characteristic length scales of hydrologic-hydraulic processes. Conducting a scaling analysis can help identify how different physical processes can be best represented in integrated models for a range of climatological and physiographic conditions which can potentially serve as an alternative to extensive calibration in distributed models. Therefore, it is recommended that this analysis should be included as a prerequisite to extensive parameter calibration for large scale integrated models. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/338765 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Siddharth Saksena,Venkatesh Merwade,Peter J. Singhofen. An alternative approach for improving prediction of integrated hydrologic-hydraulic models by assessing the impact of intrinsic spatial scales[J]. Water Resources Research,2021. |
APA | Siddharth Saksena,Venkatesh Merwade,&Peter J. Singhofen.(2021).An alternative approach for improving prediction of integrated hydrologic-hydraulic models by assessing the impact of intrinsic spatial scales.Water Resources Research. |
MLA | Siddharth Saksena,et al."An alternative approach for improving prediction of integrated hydrologic-hydraulic models by assessing the impact of intrinsic spatial scales".Water Resources Research (2021). |
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