In this paper regression analysis was adopted to assess the wind-wave relationship between wind speeds and wave heights on the Lithuanian coast of the Baltic Sea. In the coastal observations register missing data of visual wave observations occur because of the fog, ice, evaporation or other meteorological phenomenon. There is also inconsistency in instrumental measurements of wave heights in the Lithuanian coast due to technical issues. First step to fill the gaps in the wave height data is to find a strong relationship between wind speeds and wave heights. In this study correlation coefficients for Nida and Klaipeda coastal hydrometeorological stations data both taking and not taking into consideration wind blowing directions were calculated. Every data set used in this study was treated separately and it was revealed that applying nonlinear regression the most common model for wind-wave relationship analysis on Lithuanian coast is DR-Hill model, while applying multivariable regression it is Full Cubic model. Relationship between wind speeds and wave heights always can be improved by removing swell waves from correlation.

Since discovering that signals of random waves submit to the known laws of probability, this became widely used in engineering and energetics for probability distributions analysis of wave height. From an energetic point of view, it is necessary to know the average wave height in, for example, highly wavy (1% probability), medium wavy (25% probability) or non-wavy (95% probability) years. Whereas, maximum multi-year value of wave height characteristics is essential for engineering resistant wave energy converters that could withstand severe marine conditions. Average and maximum annual values of wave height data collected from Klaipėda coastal hydrometeorological station are used for this study. Probability distributions of average and maximum wave heights in the Lithuanian coast are analyzed in this paper. The best fitting is obtained using HYFRAN and EASY FIT software. Both, a test for independence (Wald- Wolfowitz) and stationarity test (Kendall) are carried out for every time series using HYFRAN software. Maximum like hood method is selected for distribution estimation. Fitting is determined using chi-square test and the best fitting is verified with comparison (BIC and AIC) criterion. Fitting for one of the most commonly used distributions in the analysis of wave climate – Rayleigh distribution – cannot be determined with HYFRAN software. For this purpose, EASY FIT software is used additionally. The fit of the distribution is evaluated via the chi-square test similarly. Calculated wave heights based on lognormal probability distribution that fits best according to HYFRAN software are similar to those calculated using Rayleigh probability distribution.

The Baltic Sea problems in context of erosion always have been very topical and since ancient times have been caused by uncontrollable and unpredictable natural factors (storms). These factors combine with the impact of human economic activities of the direct effect of factors -building offshore and aquatorium, deficit of sediment and marine dredging and growth of recreational tourism growth that promote load of coastal vegetation and dune relief. The identification of costs and benefits is significant step for evaluation of the impact of the Project and usefulness of the costs. The positive impact or benefits can occur at once, after a while or long term perspective. The economic evaluation techniques particularly cost-benefit and cost-effectiveness analysis for coastal protection in this case used for ascertain the most effective alternative. The sensitivity analysis was made for verifying impact of alternatives on taken solution. The aim of research is to verify the economic methods for application to coastal management in Latvia. The world’s coastal scientists believe that the future of coastal policy will become increasingly polarized and discussed; therefore, gradual implementation of the assessment process and development of socio-economic indicators is recommended.

Purpose of the paper is to assess contribution of the European Fishery Fund (EFF) and European Maritime and Fisheries Fund (EMFF) in the development of coastal areas. The article reviews particulars of implementation of the Fishery Funds in various planning periods, in more detail analysing the implementation impact in the period of 2014−2020, based on analysis of the needs, goals and projects of the current period. Even though the European Fishery Fund (EFF) in Latvia is being implemented since 2007, there is a lack of scientific publications on its impact on the coastal development. EMFF for the period 2013−2020 has a dual role in the development of coastal areas – as a development tool of the fishery sector and as a development tool of communities in the fishery areas. It is implemented by using communityled local development (CLLD/LEADER) approach. In case of Latvia, a multi-fund approach – EFF/EMFF and European Agricultural Fund for Rural Development (EAFRD) is already being used for two planning periods. We conclude that the impact of EFF/EMFF on the development of coastal areas is more directed at development of infrastructure of the coastal communities but is less engaged in the fishery development matters - accordingly increasing other activities and preserving historic and cultural heritage for development of tourism and place of residence in the coastal area in interaction and in addition to EAFRD rural development measures of the coastal areas.

The article presents the comparative, descriptive statistics analysis of the changes of the Baltic Sea coast in the territory of the Republic of Lithuania. This paper analyzes the Baltic Sea coast measurements taken during the period between 2008 and 2015. The formation of the strip of the Northern breakwater - Giruliai during this period was influenced by the Hurricane Felix on January 10 of 2015. Describing the Baltic Sea coast strip dynamics trends, the Baltic Sea coastline change during the period between 2008 and 2015 was selected and calculated on the basis of the measurements results. Analysis of the erosive and accumulation processes of the 4 km long strip from the Northern breakwater to Giruliai strip was provided. The carried out data of the Baltic Sea coast changes analysis show that seacoast limits are constantly changing. The replenishment of the Baltic seacoast spatial data set during the period between 2008 and 2013 with the revised spatial data of the period between 2014 and 2015 showed that during the months of January during the period between 2008 and 2015 the 4 km long strip of the Baltic Sea coast decreased by 3.7075 ha, in the 1st Melnrage area, the 0.7 km long strip of coastline has moved more than 30 m inland. It was found that in the southern half of the researched section erosion processes prevailed, while in the northern part – both erosion and accumulative ones.

Salmon (Salmo salar L.) is grown and released in the estuaries in Latvia from which it goes to the feeding areas in the Baltic Sea. The research summaries data about clinical characteristics of fin necrosis and its prevalence in Latvian hatcheries before the smolt stage (complicated physiological, biochemical and morphophysiological changes resulting in migration flight). Clinically expressed fin necrosis was observed in 92.7-97.4% cases.