Flow dynamics are a key part of the physical processes that drive the sediment transport in an aquatic system, affecting depositional processes and leading to landform evolution. The current asymmetry (CA) noted in Vembanad Lake (VL), India, have a particularly strong influence on the sediment budget and thus shape its geomorphology. In the present study the Coastal Ocean Model - Finite Volume Coastal Ocean Model (FVCOM) was used to compute the lateral current asymmetries and their implications for the long-term morphological changes in VL during different tidal phases. Model results were utilised to calculate the CA using two criteria: (1) Peak flood/ebb velocities with duration, and (2) Asymmetry Index (AI_DV). AI_DV values suggest the prevalence of ebb dominance over the entire system except at Cherai and Vallarpadam. However, several isolated pockets were noted on the right/eastern bank (shallow depth) of the system where the peak flood velocity exceeded the ebb, favouring accretion.

Contrary to the concept of ebb asymmetry, mean velocity and duration asymmetries were prevalent in the asymmetry index (AI_DV); hence we adopted peak flood/ebb velocity and its duration asymmetries to improve our understanding of the sediment transport dynamics. Typical flood asymmetry was identified on the right bank and at many of the lateral stations in VL, which switched to the modified ebb asymmetry during substantial river discharge. Analysis of CA enables understanding of the process that influences selective morphological changes, as explained by the model results. This conclusion was well corroborated by results obtained over the past three decades (1973–2008) from analysis of Landsat satellite imagery. Flood/ebb dominance in VL is explicitly substantiated with regions of accretion/erosion derived from satellite imageries. A holistic approach encompassing modelling, observations, remote sensing, and GIS techniques were used to address the erosion-accretion process in VL.

流动动力学是物理过程的关键部分，它推动了水生系统中泥沙的输送，影响了沉积过程并导致了地貌的演变。印度的文巴纳德湖（VL）中注意到的当前不对称性（CA）对沉积物收支的影响特别大，因此影响了其地貌。在本研究中，沿海海洋模型-有限体积沿海海洋模型（FVCOM）用于计算侧向电流不对称性及其对不同潮汐相期间VL长期形态变化的影响。利用模型结果使用两个标准来计算CA：（1）持续时间的洪峰/潮汐峰值速度，以及（2）不对称指数（AI _DV）。人工智能_DV这些值表明，除Cherai和Vallarpadam以外，整个系统的退潮主导地位普遍存在。但是，在系统的右/东岸（浅层深度）发现了几个孤立的凹穴，其中洪峰流速超过了起伏，有利于吸积。

与退潮不对称的概念相反，不对称指数中普遍存在平均速度和持续时间不对称（AI _DV）; 因此，我们采用洪峰/退潮速度峰值及其持续时间的不对称性来增进我们对沉积物输送动力学的理解。在右岸和VL的许多侧向测站中都发现了典型的洪水不对称性，在大量河流排泄过程中，这些洪水转向了改进的落潮不对称性。如模型结果所解释，对CA的分析使您能够了解影响选择性形态变化的过程。过去三十年（1973-2008年）从Landsat卫星图像分析获得的结果充分证实了这一结论。VL中的洪水/退潮优势明显来自卫星图像的积聚/侵蚀区域。涵盖建模，观测，遥感，