Banca de DEFESA: PEDRO AUGUSTO ALVES PRADO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : PEDRO AUGUSTO ALVES PRADO
DATE: 30/01/2023
TIME: 08:30
LOCAL: Programa de Pós-Graduação em Engenharia Civil
TITLE:

Use of Remote Sensing for Zoning Areas Susceptible to the Occurrence of Land Subsidence and Landslides

KEY WORDS:

Land subsidence; Landslides; Remote sensing; Spot map.

PAGES: 102
BIG AREA: Engenharias
AREA: Engenharia Civil
SUMMARY:

The increase in population and urbanization in a disorderly way result in several problems in the urban environment and in the environment, which causes the occurrence of phenomena such as land subsidence and landslides, which can cause serious damage to property and lives. The use of effective tools to determine the areas most susceptible to the occurrence of such phenomena makes it easier for the government to allocate resources more assertively. The methodology employed in this research seeks, through the use of open access databases, geoprocessing and remote sensing tools, the simplified and quick elaboration of maps that point out the areas most susceptible to the phenomena. The research was carried out considering the area of the city of Recife - PE, considering that in the planning areas the susceptibility to the occurrence of the land subsidence phenomenon was pointed out and in the hill  areas, the susceptibility to landslides. For the plain areas, three parameters were checked: land use and occupation, concentration of wells in each neighborhood and tendency towards lowering or recovery of aquifer levels. In the hill areas, three parameters were also analyzed, the use and occupation of the land, the slope of the land and the number of residences that dispose of wastewater without using pipes in each of the neighborhoods. To obtain such data, information from the BDE, HIDROREC III, and images from the Sentinel-2A satellite and the Topodata project were used. Maps were generated determining the susceptibility of the areas for each of the criteria and later, to obtainthe patch maps, the map algebra method was used, which consists of assigning weights to each of the analyzed criteria and superimposing the different themes. As a result, two patch maps were obtained, one that determines the areas most susceptible to the phenomenon of land subsidence (map 1) and another for landslides (map 2). To validate maps 1 and 2, scientific productions and information recorded in the local media were used. For the plain areas, the neighborhoods of Casa Forte, Parnamirim, Tamarineira, Aflitos, Graças, Espinheiro, Derby, Paissandu and Soledade were the ones with the highest concentration of susceptibility indicators for the phenomenon, with a weight of 6 in the map classification. In the hill areas, the neighborhoods with the highest degree of susceptibility were: Brejo da Guabiraba, Córrego do Jenipapo, Nova Descoberta, Vasco da Gama, Alto José Bonifácio, Morro da Conceição, Alto José do Pinho, Alto Santa Terezinha, Linha do Tiro, Beberibe and Jordan. The low number of scientific productions and the absence of journalistic articles referring to the occurrence of subsidence in the city of Recife made it difficult to validate the patch map for subsidence. Hence, it was only possible to certify the occurrence of soil subsidence in the neighborhoods of Arruda and Campo Grande, identified as weight 4 on map 1. For map 2 (landslide) it was possible to find journalistic articles in the period between 2017 and 2022 for all neighborhoods classified with a weight of 6. In academia, it was also possible to identify great similarity when compared to more recent scientific productions. In view of the low cost of elaboration and the ease of obtaining data, the use of SR and GIS techniques, aligned with the use of open access databases, indicated that it is a good technology for the elaboration of susceptibility maps.

COMMITTEE MEMBERS:
Presidente - 2726911 - ANDERSON LUIZ RIBEIRO DE PAIVA
Externo à Instituição - DIEGO CEZAR DOS SANTOS ARAÚJO
Interno - 1130841 - JAIME JOAQUIM DA SILVA PEREIRA CABRAL