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首页> 外文期刊>Journal of the American Water Resources Association >Estimating Streambank Erosion Rates with a GPS-Based Video Mapping System
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Estimating Streambank Erosion Rates with a GPS-Based Video Mapping System

机译：使用基于GPS的视频映射系统估算河岸侵蚀率

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Streambank erosion provides a direct supply of sediment to fluvial systems and significantly contributes to the total load in sediment impaired streams. The total amount and location of excessive streambank erosion must be determined to reduce the sediment supply and improve water quality within these impaired water bodies. The objective of our study was to integrate the Bank Assessment for Non-point source Consequences of Sediment (BANCS) model with the Streambank Video Mapping System, a global positioning system-based landscape-scale data collection method, to estimate the total sediment load (SL) from streambank erosion over several river kilometers. This integrated methodology allowed us to identify erosion hotspots along a 20.4 km section of Upatoi Creek in Georgia. These streambank locations would be the highest priority sites for stream restoration efforts such as streambank stabilization, reestablishment of riparian vegetation, and floodplain reconnection. Our study reach had a SL per unit channel length (109 t/yr/km) comparable in magnitude to loading rates reported in the literature from other traditional BANCS assessments.
机译：河岸侵蚀为河流系统提供了直接的沉积物供应，并极大地增加了沉积物受损流中的总负荷。必须确定过度的河岸侵蚀的总量和位置，以减少这些受损水体中的沉积物供应并改善水质。我们研究的目的是将银行非面源泥沙后果评估（BANCS）模型与基于全球定位系统的景观规模数据收集方法Streambank视频制图系统相结合，以估算总泥沙量（ SL）来自河岸侵蚀数公里。这种综合方法使我们能够确定佐治亚州Upatoi Creek 20.4公里处的侵蚀热点。这些溪流位置将是溪流修复工作的重中之重，例如溪流稳定，河岸植被重建和洪泛区重新连接。我们的研究范围达到了每单位通道长度（109吨/年/公里）的SL，其大小可与其他传统BANCS评估文献中报道的负载率相媲美。

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