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Topography of the seafloor is an important parameter in almost all maritime related research. Traditional shipboard bathymetry methods are time and money consuming. Bathymetry LiDAR is optimal method for deriving depth of shallow sea areas but also quite expensive. Alternative methods for bathymetric mapping are low cost satellite remote sensing methods. Satellite altimetry opened the possibility to map topography of the seafloor on the global scale. However, these data have a coarse resolution and their quality decay in coastal areas. Satellite Derived Bathymetry SDB refers to methods to estimate the depth from multispectral satellite images and are widely used in shallow coastal sea areas. SDB is limited by the extinction depth up to which it is possible to retrieve bathymetric data. In this paper, digital bathymetry model of the study area in the North Adriatic is estimated combining data from altimeter-based gravity anomalies and satellite multispectral images. Depth is predicted using the Gravity Geologic Method and density contrast between seafloor and seawater is determined by control points composed of soundings from nautical chart. Bathymetry of shallow, coastal areas is enhanced by depth data derived from multispectral images using Satellite Derived Bathymetry methods. Model is validated against data from nautical charts. As compared to traditional survey methods, the model is time and cost-effective and has a high correlation with charted soundings.

Pomoću SECAP smjernica koji definira metodologiju prikupljanja i izvješćivanje podataka, radi se referentni inventar emisija marina Jadranskog mora gdje su prikazani podaci o trenutnom stanju potrošnje energije i posljedičnih emisija CO2. Sve skupa je sudjelovalo 8 marina na anketiranju gdje su dobiveni podaci o potrošnji električne energije, putovanju putnika do marina, oko marina i putovanja s brodovima. Na dvije od njih; Porat marina i Martinis Marchi marina, rade se rješenja e-mobilnih usluga pomoću višekriterijalne analize i metode TOPSIS. Analiziraju se opcije električnih punionica brodova i automobila, mikromrežni sustavi i usluge e-mobilnosti i dijeljenja. Tako se gledaju koncepti poboljšanja upravljanja e-moblinih usluga marina koji se mogu primjeniti za reduciranje emisija CO2. With the help of SECAP guidelines, which define the methodology of data collection and reporting, a baseline emission inventory for Adriatic sea marinas are showed, which contain data on the current state of energy consumption and consequent CO2 emissions. The study involved 8 marinas in which data was obtained on electricity consumption, travel of passengers to and around marinas, and travel with boats. On two of them; Marina Porat and Marina Martinis Marchi, solutions for e-mobile service are developed using multi-criteria analysis and TOPSIS method. Options for boat and automotive electric chargers, micro-grid systems, and e-mobility and sharing services are analyzed. Thus, we observe the concepts of improving the management of e-mobile marina services that can be applied to reduce CO2 emissions.

Pomoću SECAP smjernica koji definira metodologiju prikupljanja i izvješćivanje podataka, radi se referentni inventar emisija marina Jadranskog mora gdje su prikazani podaci o trenutnom stanju potrošnje energije i posljedičnih emisija CO2. Sve skupa je sudjelovalo 8 marina na anketiranju gdje su dobiveni podaci o potrošnji električne energije, putovanju putnika do marina, oko marina i putovanja s brodovima. Na dvije od njih; Porat marina i Martinis Marchi marina, rade se rješenja e-mobilnih usluga pomoću višekriterijalne analize i metode TOPSIS. Analiziraju se opcije električnih punionica brodova i automobila, mikromrežni sustavi i usluge e-mobilnosti i dijeljenja. Tako se gledaju koncepti poboljšanja upravljanja e-moblinih usluga marina koji se mogu primjeniti za reduciranje emisija CO2., With the help of SECAP guidelines, which define the methodology of data collection and reporting, a baseline emission inventory for Adriatic sea marinas are showed, which contain data on the current state of energy consumption and consequent CO2 emissions. The study involved 8 marinas in which data was obtained on electricity consumption, travel of passengers to and around marinas, and travel with boats. On two of them; Marina Porat and Marina Martinis Marchi, solutions for e-mobile service are developed using multi-criteria analysis and TOPSIS method. Options for boat and automotive electric chargers, micro-grid systems, and e-mobility and sharing services are analyzed. Thus, we observe the concepts of improving the management of e-mobile marina services that can be applied to reduce CO2 emissions.