数字农科院2.0

Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data

文献类型: 外文期刊

作者: Sangchul Lee;Dongho Kim;Gregory W. McCarty;Martha Anderson;Feng Gao;Fangni Lei;Glenn E. Moglen;Xuesong Zhang;Haw Yen;Junyu Qi;Wade Crow;In Young Yeo;Liang Sun

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关键词: Additional constraints;Parameter uncertainty;Remotely sensed products;Soil and water assessment tool (SWAT)

期刊名称: Heliyon

ISSN: 2405-8440

年卷期: 2024 年 10 卷 10 期

页码:

收录情况: SCIE(2024版)

摘要: Remotely sensed products are often used in watershed modeling as additional constraints to improve model predictions and reduce model uncertainty. Remotely sensed products also enabled the spatial evaluation of model simulations due to their spatial and temporal coverage. However, their usability is not extensively explored in various regions. This study evaluates the effectiveness of incorporating remotely sensed evapotranspiration (RS-ET) and leaf area index (RS-LAI) products to enhance watershed modeling predictions. The objectives include reducing parameter uncertainty at the watershed scale and refining the model's capability to predict the spatial distribution of ET and LAI at sub-watershed scale. Using the Soil and Water Assessment Tool (SWAT) model, a systematic calibration procedure was applied. Initially, solely streamflow data was employed as a constraint, gradually incorporating RS-ET and RS-LAI thereafter. The results showed that while 14 parameter sets exhibit satisfactory performance for streamflow and RS-ET, this number diminishes to six with the inclusion of RS-LAI as an additional constraint. Furthermore, among these six sets, only three effectively captured the spatial patterns of ET and LAI at the sub-watershed level. Our findings showed that leveraging multiple remotely sensed products has the potential to diminish parameter uncertainty and increase the credibility of intra-watershed process simulations. These results contributed to broadening the applicability of remotely sensed products in watershed modeling, enhancing their usefulness in this field.

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[2]Assessing climate change impact on watershed hydrological processes and stream temperature by considering CO2 emissions. Tianpeng Zhang,Tiezhu Yan,Hao Li,Miaoying An,Xinzhong Du,Qiuliang Lei,Hongbin Liu. 2025

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