Methodological basis of the analysis and forecasting of trend-seasonal fluctuations in navigation maintenance in the sea of Azov
The necessity to use trend-seasonal processes analysis and forecasting to manage seaports activities have been shown in the article. The statistic data showing the sea of Azov ports freight turnover essential reduction in ice conditions is cited. The cited data has shown that in ice conditions the Azov sea ports freight turnover reduces considerably; in case of poor weather conditions and storm warnings the vessels arriving at ports can’t be loaded and unloaded in time. The concept of seasonal prevalence which is understood as regular periodical changes in weather conditions resulting from season change has been defined. Seasonal fluctuations are rather complicated - they are generated in one navigation area, transmitted to others, transformed and keep moving on calling forth subsequent fluctuations and interfering with sea transportation. From the point of view of this analysis seasonal prevalence is expressed in the form of oscillatory processes. In statistical researches seasonal prevalence indices and factors are used to describe seasonal fluctuations. Various models forecasting seasonal time series have been studied. A special approach to forming the information base and, considering all the activities of the port in the ice conditions, meeting the demands of continuous planning and regulation has been developed. Statistical forecasting including all stages of dynamic series processing has been offered and improved: the analysis of seasonal processes and forecasting of a seasonal wave. Such approach to forecasting can be applied to a wide range of the problems concerning the scheduling of fleet and ports