3d Modeling to Identify and Quantify Obstacles in Aerodrome Protection Zone

Abstract

Aerodromes protection zones are defined by plans that are determined by three-dimensional (3D) limiting surfaces, which establish the airspace that must remain clear of obstacles, imposing some restrictions on land use. The objective of this paper is to generate 3D models of the surrounding area of Salgado Filho International Airport, considering the constructive altimetric limit established in the Aerodrome Protection Zone Basic Plan (PBZPA), to identify and quantify obstacles related to plots (urban land parcels) and buildings. The adopted methodology includes the analysis and selection of geospatial data, data modeling and performing spatial analysis on the generated 3D models. The results showed that out of a total of 106,838 plots, covering an area of 69.68 km², 4,826 plots (4.52%) exceeded the limiting surface and 1,054 plots (0.99%) represent critical areas where constructions may not be allowed. And, out of a total of 200,573 buildings, 26,418 of them (13.17%) exceeded the limit imposed by PBZPA's. Also, the methodology is valid for detecting and quantifying critical areas concerning the constructive viability of the plots, affected areas regarding the height of the plots and buildings, and for identifying obstacles to aerodromes according to their respective airspace laws.

Collision risk assessment between aircraft and obstacles in the areas surrounding airports

“…Geoprocessing with Geographic Information System (GIS) and databases is widely used for automatic or semi-automatic mapping. This process contributes to a dynamic and integrated origination, processing, and provision of aeronautical information through the supply and exchange of digital aeronautical digital data [ 44 ]. The ICAO electronic aeronautical terrain and obstacle maps are available for all airports regularly used by international civil aviation according to the International Organization for Standardization (ISO) 19,100 series of geographic information standards [ 45 ].…”

Obstacles Risk Classification Model in Aerodromes Protection Zones Using the Multi-Criteria Decision Analysis Ahp

“…The correct identification of obstacles around airports is essential to ensure the safety and regularity of air operations. In this context, there are several works concerning methodological proposals to identify obstacles to airports (Parrish andNowak 2009, Pinelli andVeracini 2015, Audu 2016, Falavigna, Iescheck andSouza 2020). Falavigna, Iescheck and Souza (2020) identified and quantified Salgado Filho International Airport obstacles in Porto Alegre city (Brazil), using 3D models of urban plots, buildings, and PBZPA.…”

“…In this context, there are several works concerning methodological proposals to identify obstacles to airports (Parrish andNowak 2009, Pinelli andVeracini 2015, Audu 2016, Falavigna, Iescheck andSouza 2020). Falavigna, Iescheck and Souza (2020) identified and quantified Salgado Filho International Airport obstacles in Porto Alegre city (Brazil), using 3D models of urban plots, buildings, and PBZPA. This study showed that 4.52% of the urban plots and 13.17% of the buildings in the study area exceeded the limit imposed by the airport's PBZPA.…”