Evaluating the BANCS Streambank Erosion Framework on the Northern Gulf of Mexico Coastal Plain
Evaluating the BANCS Streambank Erosion Framework on the Northern Gulf of Mexico Coastal Plain
复制标题
评估墨西哥湾北部沿海平原的 BANCS 河岸侵蚀框架
DOI：
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
C. Metcalf
中科院分区：
文献类型：
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作者：
M. McMillan;J. Liebens;C. Metcalf
非点源沉积物后果的河岸评估（BANCS）框架允许河流科学家预测水文地理区域内侵蚀河岸的年产沙量。BANCS包括现场数据收集和经验模型的校准，该模型包括河岸侵蚀危险指数（BEHI）和近岸剪切应力（NBS）估计。在这里，我们评估BANCS的适用性，墨西哥湾沿岸平原的北方，一个地区，以前没有在这种情况下进行研究。两年的平均侵蚀率表示任何现有BANCS研究的最高变异性。因此，四个标准的BANCS模型没有产生统计学显着的相关性测量侵蚀率。对两个广泛使用的国家统计局估计值的修改改善了它们的相关性（r2 = 0.31和r2 = 0.33），但BEHI对数据的进一步分组削弱了这些相关性。测得的侵蚀率变化很大，部分原因是墨西哥湾沿岸平原的区域水文和气候特征，其中包括大的，罕见的降水事件。其他变异性来源包括河岸植被的变化以及曲流沙床河道复杂的水文和地貌动力学。我们讨论了未来的研究方向，在开发一个河岸侵蚀模型，这个和类似的地区。
The Bank Assessment of Nonpoint source Consequences of Sediment (BANCS) framework allows river scientists to predict annual sediment yield from eroding streambanks within a hydrophysiographic region. BANCS involves field data collection and the calibration of an empirical model incorporating a bank erodibility hazard index (BEHI) and near‐bank shear stress (NBS) estimate. Here we evaluate the applicability of BANCS to the northern Gulf of Mexico coastal plain, a region that has not been previously studied in this context. Erosion rates averaged over two years expressed the highest variability of any existing BANCS study. As a result, four standard BANCS models did not yield statistically significant correlations to measured erosion rates. Modifications to two widely used NBS estimates improved their correlations (r2 = 0.31 and r2 = 0.33), but further grouping of the data by BEHI weakened these correlations. The high variability in measured erosion rates is partly due to the regional hydrologic and climatic characteristics of the Gulf coastal plains, which include large, infrequent precipitation events. Other sources of variability include variations in bank vegetation and the complex hydro‐ and morphodynamics of meandering, sand bed channels. We discuss directions for future research in developing a streambank erosion model for this and similar regions.
影响因子：
3.9
作者：
Blanckaert, K.
通讯作者：
Blanckaert, K.