Enhancement of Sediment Routing Method of SWAT Model Considering Sediment Occurrence Trends of Rise and Fall of Streamflow

IF 2.2 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
Sangjoon Bak, Seoro Lee, Jeongho Han, Yeonji Jeong, Yonghun Choi, Gwanjae Lee, Bernard A. Engel, Kyoung Jae Lim
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Abstract

Accurate quantification of sediment occurrence in river basins is essential for establishing sediment management strategies. This study enhanced the simplified Bagnold method within the SWAT model to enhance simulation of sediment dynamics due to the rise and fall of streamflow. The sediment simulation efficacy of the enhanced Bagnold method in the SWAT was evaluated by comparison of estimated daily sediment with the original Bagnold method in the SWAT model. During the rise of streamflow, the original Bagnold method in the SWAT model yielded an R2 of 0.86 and an NSE of 0.85, but these indicators declined to an R2 of 0.49 and an NSE of −14.88 in simulations of sediment during the fall of streamflow. In contrast, the enhanced Bagnold method in the SWAT showed superior calibration performance, achieving an R2 of 0.94 and an NSE of 0.92 during the rise of streamflow, and an improved R2 of 0.68 and an NSE of 0.6 during the fall of streamflow. Notably, the enhanced Bagnold method in the SWAT provided a more accurate sediment prediction during increases in streamflow, with an overestimation of only 25.1% relative to observed data. This marks a significant improvement over the original model, which overestimated sediment by 443.5%. As shown in this study, streamflow variability (changes in rise/fall) needs to be considered in sediment simulations, enhancing model accuracy and informing effective sediment management strategy development.

Abstract Image

考虑水流涨落产沙趋势的SWAT模型输沙路径方法改进
准确量化河流流域的泥沙发生对于制定泥沙管理策略至关重要。本研究对SWAT模型中的简化Bagnold方法进行了改进,增强了对水流涨落泥沙动力学的模拟。通过与原Bagnold方法在SWAT模型中估算的日沙量进行比较,评价改进Bagnold方法在SWAT模型中泥沙模拟的效果。在水流上升期间,SWAT模型中原始Bagnold方法的R2为0.86,NSE为0.85,但在水流下降期间泥沙模拟中,这些指标的R2为0.49,NSE为- 14.88。相比之下,SWAT中增强的Bagnold方法显示出更好的校准性能,在流量上升时R2为0.94,NSE为0.92,在流量下降时R2为0.68,NSE为0.6。值得注意的是,SWAT中增强的Bagnold方法在流量增加时提供了更准确的泥沙预测,相对于观测数据的高估仅为25.1%。这标志着对原始模型的显著改进,该模型将沉积物高估了443.5%。如本研究所示,在泥沙模拟中需要考虑水流变异性(上升/下降的变化),以提高模型的准确性,并为有效的泥沙管理策略制定提供信息。
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来源期刊
Journal of The American Water Resources Association
Journal of The American Water Resources Association 环境科学-地球科学综合
CiteScore
4.10
自引率
12.50%
发文量
100
审稿时长
3 months
期刊介绍: JAWRA seeks to be the preeminent scholarly publication on multidisciplinary water resources issues. JAWRA papers present ideas derived from multiple disciplines woven together to give insight into a critical water issue, or are based primarily upon a single discipline with important applications to other disciplines. Papers often cover the topics of recent AWRA conferences such as riparian ecology, geographic information systems, adaptive management, and water policy. JAWRA authors present work within their disciplinary fields to a broader audience. Our Associate Editors and reviewers reflect this diversity to ensure a knowledgeable and fair review of a broad range of topics. We particularly encourage submissions of papers which impart a ''take home message'' our readers can use.
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