意大利北第勒尼安海港口潮汐静水分量的测量与预测

O. Faggioni
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引用次数: 3

摘要

从90年代末开始,没有观察到港口水域深度的周期性和不可预测的变化。长周期(从24小时到几天)和宽振幅是它们的主要特征。经验表明,这种现象对港口航行和系泊是一种风险。它可能是水上港口活动的一个严重障碍。数据的第一次观测并没有将超高和超干潮与海-气相互作用的气象动力学(即风暴效应)联系起来。此外,试图通过众所周知的海上气压反参数(海平面变化为ǃ[hPa]大气压变化的1[cm])来补偿这些水深波动,低估了这一现象的振幅。2000年的头几年,意大利交通部启动了一个国家项目,以确定这些潮汐异常波的振幅和时间。港口气压反因子的测量显示出比理论值(针对近海计算)更强烈的值。这些放大因子是每个港口的特征,可能是离岸的两倍(在特殊情况下甚至更多)。这些潮汐波的到达时间(诱导现象)相对于大气压力变化的到达时间之间的延迟取决于1)港口盆地海底的形态和2)港口和近海水动力学关系(第一近似值)。由于这些原因,水力-气压逆参数是不可有效计算的,但它可以通过统计来确定。
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Measurement and Forecasting of Port Tide Hydrostatic Component in North Tyrrhenian Sea (Italy)
Starting from the end of the 90s not perodic and unpredictable variations in the depth of harbor waters were observed. Long period (from 24 hours to a few days) and wide amplitude are their main features. Experience showed that this phenomenon is a risk for harbor navigation and mooring. It may be a serious obstacle to waterside port activities. The first observation of the data does not link the super-highs and the super-dry tides to the meteorological dynamic of sea-atmosphere interaction (i.e. Storm Effect). More, the attempt to compensate for these sea depth fluctuations by means of the well-known offshore hydrobarometric inverse parameter (1 [cm] sea level variation for ǃ [hPa] atmospheric pressure variation) underestimates the amplitude of the phenomenon. In the first years of 2000, the Italian Ministry of Transport launched a national project for the definition of thee-amplitude and time of these tidal anomalous waves. The measure of harbors hydrobarometric inverse factors showed a much more intense value than the theoretical one (computed for the offshore). These amplification factors are characteristic of each harbor and can be double (in exceptional cases even more) than offshore. The delay between the arrival times of these tidal waves (induced phenomenon) respect to the time of arrival of the atmospheric pressure variation (inducing phenomenon) depends on 1) morphology of the port basin sea floor and 2) harbor and off-shre water dynamics relationship (first approximation). For these reasons the hydro barometric inverse parameter is not effectiveness computable but it can be determined statistically.
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