Banca de DEFESA: WALINGSON DA SILVA DA COSTA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : WALINGSON DA SILVA DA COSTA
DATA : 27/05/2021
HORA: 09:00
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, data mining, applied computing, Amazon

PÁGINAS: 62
GRANDE ÁREA: Outra
ÁREA: Ciências Ambientais
RESUMO:

Knowledge of meteorological conditions is essential for decision-making in agro-ecosystems, requiring precise information on the climate and atmospheric conditions. For that, some steps are required to be built. Data collection is the initial step for this process, however, it is subject to errors that will inevitably hinder subsequent analyzes and knowledge generation, resulting in erroneous decisions. The information needed to build knowledge is not always available or is reliable. Therefore, mechanisms for treatment, analysis and forecasts are essential in the management of agro-ecosystems, 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 Meteorological Institute (INMET) in a surface meteorological station in the municipality of Matupá MT and Sinop MT. PAP Meteor is a system (WEB) 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. In the Matupá meteorological data, inconsistencies in temperature and precipitation were identified, in addition to 55.1% of failure in the records, in Sinop the failures add up to 28%. The system was efficient in imputing missing data on temperature, relative humidity and precipitation. In Matupá, temperatures vary between 10 and 40 ° C with annual averages of 33 ° C with a positive upward trend. Precipitation is prevalent in the months of January to April and from October to December. PAP Meteor can contribute to the knowledge generation process, contributing to greater sustainability and rationalization of resources in agro-ecosystems.

MEMBROS DA BANCA:
Presidente - 131916001 - RIVANILDO DALLACORT
Interno - 117000004 - MARCO ANTONIO CAMILLO DE CARVALHO
Externo à Instituição - SILMARA BISPO DOS SANTOS - UFR