A common phenomenon associated with the alluvial river is its meandering action which leads to lateral migration and thus geomorphic hazards. Predicting and preventing this migration is both difficult and necessary. Barak river is one of the highly meandering rivers flowing through the alluvial plains of Assam, India. It is observed that there is a regular shifting of the river banks and development of cutoffs which create uncertainty to the people residing nearby. Therefore, in this study planform geometry and migration behaviour of the Barak river is examined considering 12 representative meandering reaches using multiperiod Landsat remote sensing images, field investigations of channel bed and bank properties and riparian vegetation cover. An attempt is made to describe and evaluate the empirical approach and time sequence extrapolation method to predict channel migration. Channel wavelength to channel width ratio ranges between 5.53 to 12.9, and the bend curvature ranges between 1.1 to 3.93. Rate of river migration varies between 0.54to 85.69 m/year. Sinuosity in most of the meandering reaches is greater than 1.5. Results show that lack of significant riparian vegetative cover, high precipitation and presence of fine sands with very low clay content are probably the main elements responsible for the planform changes. The results of the prediction of meander migration obtained from selected empirical methods show that only Nanson and Hickin method shows a moderate correlation with R2 =0.50. Time sequence extrapolation method was used to predict the radius of the best-fit circle for the year 2025 and 2030. Results of the time sequence extrapolation method indicate that the maximum and minimum radius of the best circle fit for the year 2025 is 1254m at reach-8 and 462m at reach-7 respectively, and maximum and minimum radius of the best circle fit for the year 2030 is 1319m at reach-8 and 387m at reach-12 respectively. It is believed that the outcomes of this study could form a base in river training works and in understanding and predicting the future dynamics and bank migration of this alluvial river and other river of similar geomorphic setting.

中文翻译：

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巴拉克河冲积区地貌测量曲流参数变化及曲流河道迁移预测

与冲积河相关的一个常见现象是它的蜿蜒作用会导致横向迁移，从而导致地貌灾害。预测和防止这种迁移既困难又必要。巴拉克河是流经印度阿萨姆邦冲积平原的蜿蜒曲折的河流之一。据观察，河岸有规律的移动和断流的发展，这给附近的居民带来了不确定性。因此，在本研究中，使用多周期 Landsat 遥感图像、河床和河岸特性以及河岸植被覆盖的实地调查，考虑了 12 个具有代表性的曲流河段，检查了巴拉克河的平面几何形状和迁移行为。尝试描述和评估用于预测信道迁移的经验方法和时间序列外推方法。通道波长与通道宽度比范围在 5.53 到 12.9 之间，弯曲曲率范围在 1.1 到 3.93 之间。河流迁移率在 0.54 至 85.69 米/年之间变化。大部分曲流河段的曲率大于1.5。结果表明，缺乏显着的河岸植被覆盖、高降水量和粘土含量极低的细砂的存在可能是造成地貌变化的主要因素。从选定的经验方法获得的曲流迁移预测结果表明，只有 Nanson 和 Hickin 方法显示出与 R2 =0.50 的中等相关性。采用时间序列外推法预测2025年和2030年最佳拟合圆半径。时间序列外推法结果表明2025年最佳拟合圆半径最大和最小为1254m。 -8 和 462m 分别在 7 级和 462 米，2030 年最佳圆拟合的最大和最小半径分别是 8 级和 12 级的 1319 米和 387 米。相信这项研究的结果可以为河流整治工程以及理解和预测这条冲积河流和其他类似地貌环境的河流的未来动态和河岸迁移奠定基础。时间序列外推法结果表明，2025年最佳圆拟合的最大半径和最小半径分别为8河道1254m和7河道462m，该年最佳圆拟合的最大半径和最小半径2030 年分别为 8 级和 12 级的 1319m 和 387m。相信这项研究的结果可以为河流整治工程以及理解和预测这条冲积河流和其他类似地貌环境的河流的未来动态和河岸迁移奠定基础。时间序列外推法结果表明，2025年最佳圆拟合的最大半径和最小半径分别为8河道1254m和7河道462m，该年最佳圆拟合的最大半径和最小半径2030 年分别为 8 级和 12 级的 1319m 和 387m。相信这项研究的结果可以为河流整治工程以及理解和预测这条冲积河流和其他类似地貌环境的河流的未来动态和河岸迁移奠定基础。