Tidal characteristics of the Gulf of Khambhat are described based on measured and modelled sea-level data. Data were recorded at three locations inside and two locations outside the Gulf with record lengths of 6–12 months to study the tidal propagation. A northward increase in tidal amplitude is noticed from Daman (eastern side) and Diu (western side) and attains maxima at Bhavnagar. A similar trend is followed by the amplitude of the major tidal constituents, although there are discrepancies for that of the minor constituents. The non-tidal factor which influences the sea-level is the local wind, especially the alongshore component of wind. A positive correlation is obtained between the sea-level and the meridional component of wind at each location. Harmonic analysis of sea-level data shows that M2 is the major tidal constituent which propagates in a non-linear fashion inside the Gulf. Tides from two global tide models (MIKE21 and FES2014) have been compared with the measured data, which could be used for further prediction of the tides and sediment transport in the Gulf. The tide elevation derived from the MIKE21 model has further been used for the harmonic analysis of tide. The tides predicted using one-month data are up to 10% smaller than those predicted using the one-year data. The global tide model FES2014 data performs well with measured data for offshore locations, whereas it fails to predict the same for the inner Gulf locations. The study manifests the fact that to understand the dynamics of complex tidal areas, regional models should better be used than global tidal models.

基于已测量和建模的海平面数据描述了坎伯哈特湾的潮汐特征。数据记录在海湾内的三个位置和海湾以外的两个位置，记录时间为6-12个月，用于研究潮汐传播。从达曼（东侧）和迪乌（西侧）注意到，潮汐幅度向北增加，并在巴夫那加（Bhavnagar）达到最大值。类似的趋势是主要潮汐成分的振幅，尽管次要成分存在差异。影响海平面的非潮汐因素是当地风，尤其是沿海风。在每个位置的海平面和子午线分量之间都获得正相关。对海平面数据的谐波分析表明，M2是主要的潮汐成分，以非线性方式在海湾内传播。已将来自两个全球潮汐模型（MIKE21和FES2014）的潮汐与实测数据进行了比较，这些数据可用于进一步预测海湾的潮汐和沉积物输送。从MIKE21模型推导出的潮汐标高已进一步用于潮汐的谐波分析。使用1个月数据预测的潮汐比使用1年数据预测的潮汐小10％。全球潮汐模型FES2014的数据与离岸位置的实测数据相吻合，但无法预测海湾内部位置的情况。该研究表明了这样一个事实，即要了解复杂的潮汐区域的动态，应该比全球潮汐模型更好地使用区域模型。