Banca de DEFESA: Júlia Maria Soja Sampaio

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : Júlia Maria Soja Sampaio
DATE: 31/01/2024
TIME: 14:00
LOCAL: Sala de videoconferência e Teams
TITLE:

Statistical analysis of interpolation methods of bathymetrical data and volume computation of reservoirs

KEY WORDS:

Bathymetry, Digital Terrain Model, Geophysic, Reservoirs

PAGES: 64
BIG AREA: Ciências Exatas e da Terra
AREA: Geociências
SUMMARY:

Brazil has an energy matrix heavily based on renewable resources, with hydroelectric power being the predominant component. Hydroelectric plants are formed by damming the natural course of a river, causing changes in the original hydrosedimentological regime. Particularly when reaching the dam, sediments transported by rivers deposit, reducing the storage capacity. Understanding how reservoir volumes vary over time is crucial to define the generation potential and the lifespan of the project. In order to estimate the variation in reservoir volumes, bathymetric data were acquired, from which Digital Terrain Models (DTMs) were generated. The models were processed in ArcGIS software using five different types of interpolators. Additionally, an analysis of the impact of the spacing of control bathymetric lines on volume estimation was carried out, showing that the calculated volume decreases with increasing spacing of control lines. Based on the observation that the rate of volume variation shows variability among the analyzed reservoirs, a further study was conducted correlating reservoir morphology with Terrain Complexity Index, calculated by ArcGIS software. Statistical analysis identified groups of reservoirs with analogous characteristics, explaining that the variability in volume estimation depends on the bottom morphology. Analyzing the locations, it was found that reservoir groups are located in different hydrographic basins with distinct morphological characteristics. A subsequent study was conducted on the impact of the interpolation method on reservoir volume calculation. Considering five interpolators and eleven spacings, it was observed that the greater the distance between sections, the greater the discrepancy in volume estimation. Furthermore, it was found that different interpolators produce different volume estimates, emphasizing the importance of preliminary studies to allocate bathymetric sections and choose the most robust interpolation method.

COMMITTEE MEMBERS:
Externo à Instituição - GERVÁSIO BARBOSA SOARES NETO - IFB
Interno - 1495411 - HENRIQUE LLACER ROIG
Presidente - 2489146 - MARCO IANNIRUBERTO
Interna - 1732111 - REJANE ENNES CICERELLI