एयरोनॉटिक्स और एयरोस्पेस इंजीनियरिंग जर्नल
खुला एक्सेस
आईएसएसएन: 2168-9792
आईएसएसएन: 2168-9792
Donatella Termini
The processes controlling the fluvial morphodynamics have been the focus of research seeking to evaluate river’s dynamics. The knowledge of the river’s pattern changes is fundamental in designing adequate restoration projects and in preserving the ecological equilibrium in fluvial environment and neighboring areas. Some researchers [among others 1, 2] exalted the role of vegetation on river’s dynamics, others [see as an example 3] suggest to consider the flood effects as fundamental to understand the controlling processes on fluvial morphology. The difficulty in investigating the controlling mechanisms of river’s dynamism is related to the difficulty in stream monitoring: many river floodplains are inaccessible and often densely vegetated [4, 5, 6]. Over the last two decades the use of technologies such as near-infrared Light Detection and Ranging (LIDAR) and Experimental Advanced Airborne Research LIDAR (EAARL) has improved our ability to map of sub-aerial topography and fluvial environments. But, these technologies has shown uncertainties in rivers because of the reflection in the air-water interface. Image-based techniques (LSPIV) have been increasingly used for surface velocity measurements in field. These techniques are non-intrusive and allow obtaining simultaneous spatial information about the instantaneous velocity components also in unsteady flows [7]. Thus, it is possible to yield a large amount of data in a rather short measuring time and to calculate simultaneously the average values for identical spatial windows over many images. In the present study the river’s pattern changes are identified to detect information from satellite images easily available from Google Earth. The adopted methodology has allowed us to obtain indications on the combined effects of the vegetation dynamics and of the different size of flood events in a selected reach of the Tagliamento River (Italy).