Banca de QUALIFICAÇÃO: DIEGO NEVES SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : DIEGO NEVES SILVA
DATA : 05/03/2021
HORA: 14:00
LOCAL: virtual
TÍTULO:

 

 

Evaluation of contamination risk by the use the pesticides ins surface waters in the Mojuí river basin - Low Amazon

PALAVRAS-CHAVES:

 

 

Toxicology, Pesticide, Watershed, Geographic Information Systems, Amazon.

PÁGINAS: 50
GRANDE ÁREA: Ciências Biológicas
ÁREA: Ecologia
SUBÁREA: Ecologia Aplicada
RESUMO:

The excessive consumption of pesticides in the agricultural production chain, contributes greatly to environmental degradation in its various matrices. In aquatic ecosystems, found abundantly in the Lower Amazon region, this problem becomes more complex, once the high toxicity of some pesticides and their inappropriate use represent a great and potential risk of contamination for water bodies, which can compromise local ecosystems and human health, once this environment is most of the times the main destination for pollutants. In this context, the objective of this project is to develop a viable indicator to assess the potential for contamination by pesticides in surface water in the hydrographic basin of the Mojuí River, in the micro-region of Santarém in the Lower Amazonas, state of Pará. Thus, studies of this nature contribute to identify areas susceptible to contamination by pesticides and, being scarce in this region, are necessary and urgent for the protection of aquatic resources. The indicator will be developed based on publicly available data on toxicology (CL 50 and DL 50) and physico-chemical properties (half-life, water solubility, sorption coefficient of organic matter, etc.) of the most used pesticides in the study area, as well as data that characterize the landscape diversity of the Mojuí River basin, with altimetry data, land use and occupation, vegetation cover and climatological data. As an important tool, Geographic Information Systems (GIS) will be used for data analysis and treatment using ArcGis 10.5 and Qgis 2.18 software. As a result of this work, it is expected to obtain a viable indicator, through which it is able to identify, through thematic maps, the areas most vulnerable to contamination by pesticides.

MEMBROS DA BANCA:
Presidente - 1836832 - RUY BESSA LOPES
Interno - 1796322 - RICARDO SCOLES CANO
Externo ao Programa - 1714702 - RAFAEL CALDEIRA MAGALHAES