Banca de DEFESA: TALES GASPAR DE MATTOS REIS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : TALES GASPAR DE MATTOS REIS
DATE: 09/03/2023
TIME: 13:30
LOCAL: VIDEOCONFERÊNCIA
TITLE:

Rainfall estimates by CHIRPS and validation by in situ meteorological station to subsidize studies of erosion potential in soils at Itatiaia National Park (RJ).

KEY WORDS:

Pluviometric precipitation. Atlantic Forest. Remote sensoring.

PAGES: 70
BIG AREA: Ciências Agrárias
AREA: Agronomia
SUMMARY:

The damages caused by the large volume of rainfall or its scarcity have been constantly debated at the national and local level, by scientists, government and the society. When associated with climate change, pointed as the main cause of extreme events, the theme becomes even more relevant in agricultural areas, protected areas, and cities. In Brazil, several works have been done using remote sensing (RS) data and its comparison with in situ meteorological stations, many of them have associated precipitation indices to the SR data to analyze the behavior, estimates and possible correlations. In this study the Climate Hazards Group Infra Red Precipitation with Station data (CHIRPS), which was developed through cooperation between: Earth Resources Observation and Science (EROS), Climate Hazards Group (CHG) and the United States Geological Survey (USGS), initially designed to track the impacts of seasonal droughts from rainfall time series. CHIRPS presents a spatial resolution of 0.05º, around 5 km, spatial coverage of 50º N and 50º S, and as derived products from CHIRPS we have daily, penta and monthly rainfall sets. Several studies have validated CHIPRS, many of them through the correlation between rainfall data estimated using remote sensing and those obtained from surface meteorological stations. The Itatiaia National Park Conservation Unit (PNI), chosen for this data validation study is completely inserted in the morphoclimatic domain of Mares de Morros and the Atlantic Forest Biome. The validation of the estimated data for the lower part of PNI was done in annual series, from 2021-2022, through the main statistical metrics. The CHIRPS data were validated from the correlation of data from a meteorological station (ITWH1080) fixed at the Flow Tower of the lower part of Itatiaia National Park, part of the PENSA Rio project. The results show that the correlation between the rainy season precipitation from CHIRPS and the ITWH1080 station do not show significant disparities. The Pearson correlation coefficient (r), which was applied to show the linear association between the annual precipitation series from CHIRPS with values defined up to 400 mm and from ITWH1080, showed a value of r = 0.90, pointing to a good association between the data matrices. The r² showed good variation with value equal to 0.82 and the Willmott index (d) showed value of 0.90, which denotes good agreement between the estimated and observed data. Therefore, it can be concluded that the use of precipitation data from CHIRPS is an alternative for the analysis of rainfall behavior in the lower part of PNI, thus contributing to the evaluation of the erosive potential of the same.

COMMITTEE MEMBERS:
Presidente - 387335 - LUCIA HELENA CUNHA DOS ANJOS
Externo ao Programa - 1872560 - RAFAEL COLL DELGADO - nullExterno à Instituição - RAFAEL DE ÁVILA RODRIGUES
Externo à Instituição - RORIZ LUCIANO MACHADO - IFGoiano