Remote-pilot aircraft are developing very rapidly and their potential in the various fields is often still to be fully investigated. The possibility to fly over the areas to be surveyed without the need to access the areas themselves makes the use of UAVs in some cases certainly preferable for safety reasons, as has already been tested for the management of postdisaster areas. Waste landfills are small sites where contact with waste itself must be limited and scientific experimentation on surveying this specific type of site is currently limited. The results obtained in other types of sites or infrastructures are not automatically applied to waste landfills due to the specific geometrical characteristics and texture of the images that can be obtained at sites like these. In this work, a test on an exhausted landfill has been carried out with attention to the accurate survey of a large number of control points necessary for a correct assessment of the final geometric accuracy. The use of ground control points and checkpoints has allowed the separate evaluation of precision and accuracy, which are very close to those obtained with the most common methods for these sites, such as laser scanning and total stations.
Despite the international efforts to promote the circular economy and waste recycling, landfilling is still a common practice for waste disposal around the world, with considerable impacts on the environment and public health. However, while such a sector was addressed in many countries through a consistent environmental legislative framework, safety management for workers in landfills has not been sufficiently considered by policymakers. Moreover, in the scientific literature OHS issues related to landfill management were not deeply addressed through the elaboration of specific procedures. Hence, with the goal to evaluate the existence of specific risk profiles in such working contexts, the paper provides a contribution through a data-driven approach. In fact, the study contains a detailed investigation of the biggest Italian occupational accident database (powered by INAIL) with reference to the landfill management sector, according to a methodology specifically designed to employ the European Statistics on Accidents at Work (ESAW) codes as data filters. After selecting a sample of n.78 accidents, likely to have occurred in Italian landfills in the period 2008/2019, accidents' dynamics were assessed for each event with reference to the use of work equipment. The results achieved allowed us to bring to light the potential risks related to this determinant. Thus, potential risk management measures were defined in order to improve the safety management of work equipment in this specific context.
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