Banca de QUALIFICAÇÃO: WALINGSON DA SILVA DA COSTA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : WALINGSON DA SILVA DA COSTA
DATA : 13/01/2021
HORA: 08:00
LOCAL: On Line - Universidade do Estado de Mato Grosso - Alta Floresta
TÍTULO:

SISTEMA WEB PARA PRÉ PROCESSAMENTO E ANÁLISE DE DADOS METEOROLÓGICOS

PALAVRAS-CHAVES:

Data Waringling, mineração de dados, computação aplicada, Amazônia

PÁGINAS: 85
GRANDE ÁREA: Outra
ÁREA: Ciências Ambientais
RESUMO:

Knowledge is fundamental for decision-making, therefore needing some steps to be built. Data collection is the initial step in this process, but it is subject to errors that will inevitably hinder subsequent analyzes and knowledge generation, resulting in erroneous decisions. In agroecosystems, climatic conditions are preponderant factors for decision making, requiring precise information on climate and atmospheric conditions. However, this information is not always available or reliable. Therefore, mechanisms for treatment, analysis and forecasts are essential in the management of agroecosystems, ensuring efficiency and assertiveness in decisions. The objective of this work is to describe the functioning of PAP Meteor (Preparation, Analysis and Forecast of Meteorological data), applying data provided by the National Institute of Meteorology (INMET) in a surface meteorological station in the municipality of Matupá MT. PAP Meteor is a WEB system developed with the Python programming language, subdivided into 3 modules. The pre-processing module is responsible for reading the database and returning its main information, in addition to identifying anomalies and imputing missing records. The exploratory analysis module performs a statistical summary of the data, correlation analysis in addition to exploring the data with dynamic tables and graphs. The Forecasting module, on the other hand, is responsible for performing seasonal data decomposition and making forecasts based on the historical series. In the Matupá meteorological data, inconsistencies in temperature and precipitation were identified, in addition to 47.3% of failure in the records. The system was efficient in imputing missing data on temperature and sunshine. In Matupá, temperatures vary between 10 and 40 ° C with annual averages of 33 ° C with a positive upward trend. Precipitation is predominant from January to April and from October to December. The months of May to August have the highest insolation rates. PAP Meteor can contribute to the knowledge generation process, contributing to greater sustainability and rationalization of resources in agroecosystems.

MEMBROS DA BANCA:
Presidente - 131916001 - RIVANILDO DALLACORT
Interno - 117000004 - MARCO ANTONIO CAMILLO DE CARVALHO
Externo ao Programa - 138321001 - RAFAEL CESAR TIEPPO
Externo ao Programa - 297323001 - JOAO DANILO BARBIERI