Coupling antecedent rainfall for improving the performance of rainfall thresholds for suspended sediment simulation of semiarid catchments.

Coupling antecedent rainfall for improving the performance of rainfall thresholds for suspended sediment simulation of semiarid catchments.
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DOI:
10.1038/s41598-022-08342-6
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发表时间:
2022-03-21
期刊:
影响因子:
4.6
通讯作者:
Li H
Li H
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Yin Z;Qin G;Guo L;Tang X;Wang J;Li H

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悬沙输运是地球化学循环的重要过程之一。本研究探讨了降雨阈值在半干旱流域悬沙模拟中的作用。结果表明,以降雨阈值10 mm为基础,研究流域的降雨泥沙可分为两种类型。对有降雨阈值的LSTM模型(C-LSTM方案)和无降雨阈值的LSTM模型(LSTM方案)进行了评价和比较。结果表明,C-LSTM方案具有明显优于LSTM方案的性能,特别是在低沙条件下。结果表明,在研究流域,中、高底泥验证的平均NSE从0.925略微提高到0.934,从0.911略微提高到0.924(模式1);而对于低沉积物(模式2),平均NSE从校准的-0.375显著提高到0.738,验证的0.171显著提高到0.797。研究结果表明,降雨阈值对改善悬沙模拟非常有效。研究结果表明,引入降雨强度、土地利用、土地覆被等信息将有助于进一步提高沉积物预测精度。
Suspended sediment transport is one of the essential processes in the geochemical cycle. This study investigated the role of rainfall thresholds in suspended sediment modeling in semiarid catchments. The results showed that rainfall-sediment in the study catchment (HMTC) could be grouped into two patterns on the basis of rainfall threshold 10 mm. The sediment modeling based on LSTM model with the rainfall threshold (C-LSTM scheme) and without threshold (LSTM scheme) were evaluated and compared. The results showed that the C-LSTM scheme had much better performances than LSTM scheme, especially for the low sediment conditions. It was observed that in the study catchment, the mean NSE was marginally improved from 0.925 to 0.934 for calibration and 0.911 to 0.924 for validation for medium and high sediment (Pattern 1); while for low sediment (Pattern 2), the mean NSE was significantly improved from -0.375 to 0.738 for calibration and 0.171 to 0.797 for validation. Results of this study indicated rainfall thresholds were very effective in improving suspended sediment simulation. It was suggested that the incorporation of more information such as rainfall intensity, land use, and land cover may lead to further improvement of sediment prediction in the future.
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