Historical monuments represent a cultural heritage that humanity has a duty to preserve and conserve. Lately all over the world, scanning these heritage objectives has become a priority, in order to preserve in the smallest details the used architecture. The work aims to complete the cultural heritage for Sânmihaiu Român hydro technical development built between 1912 and 1915, located on the Bega River in Western Romania, through modern mobile scanning technology, Leica Pegasus Backpack, necessary for the creation of a three-dimensional (3D) documentation, for the completion of the cultural heritage, and for the creation of a 3D database. The purpose of the scientific paper is restoring Sanmihaiu Roman Hidro technical Node, subject to degradation, in order to achieve the project “The navigable Bega”, waterway connection to Serbia. Collecting method of LiDAR data is Fused Slam, the acquisition of RINNEX data being made by placing a Leica GS08 Master Station. Visualization of quality graphics has been performed in Quality Control (QC) Tools. The scanning accuracy is between 2 and 3 cm and the 3D data processing was performed with the Cyclone Model version program, with SmartPick Point and Virtual Surveyor functions. The obtained point clouds will be of a great help in order to follow in time the construction which can be used whenever it will be needed by the designers and specialists in the field of hydrotechnics.
In order to verify the possibility of agricultural drought forecasting and prediction of agricultural yields in a given region, two climatic indices were used to monitor drought: Standardized Precipitation Index (SPI) and Bhalme -Mooley Drought Index (BMDI). For the case study were taken into account conditions in Oradea, from Crişurilor Plain, which is located in the Western Romania. Evolution of dry periods determined by the two indices is similar but there are differences in their length and frequency, BMDI indicating higher frequencies of dry periods than SPI. In the majority of time periods analyzed, the future evolution trend indicated by the two climate indices is toward positive values, which means an increasing trend in the frequency of wet periods. Findings on the risk to drought using the drought magnitude calculated for monthly periods of different lengths and their frequencies indicate that the risk of drought according to SPI is reduced, while for BMDI it is indicated a medium risk of occurrence of droughts, appreciation closer to those shown in similar studies conducted in this area. The second-degree polynomial correlations established between the yields of winter wheat and maize, respectively BMDI and SPI values calculated for different time periods (hydrological year, cold season, warm season and vegetation period) demonstrate the possibility of predicting the crop yields, their accuracy being greater for smaller calculation periods, as close as possible to vegetation period of the analyzed culture. The results obtained for the case study performed confirm the above.
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