Banca de QUALIFICAÇÃO: CARLOS ALBERTO NASCIMENTO DA ROCHA JUNIOR

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : CARLOS ALBERTO NASCIMENTO DA ROCHA JUNIOR
DATA : 05/05/2017
HORA: 09:00
LOCAL: Auditório do CCEA (Sala 212) - CTEC/UFRN
TÍTULO:

MODEL OF ALGAL BIOMASS IN RESERVOIRS IMPACTED BY WATER STRESS EVENTS IN SEMIARID TROPICAL

PALAVRAS-CHAVES:

Eutrophication. Models. Hydrical stress. Light availability.

PÁGINAS: 17
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Sanitária
RESUMO:

Eutrophication of aquatic ecosystems is one of the main causes of deterioration of water quality and has as main consequence the excessive growth of algae. The variation in algal biomass due to the eutrophication process is mainly caused by the variation in nutrient concentrations in water, but it is also influenced by the variation in water volume and the availability of light among other factors. In this sense, it is of fundamental importance to understand the main factors that influence the phytoplankton community, in order to predict the dynamics of their biomass for the improvement of the management of the lacustrine ecosystems. Most of the models that attempt to explain the variation of the phytoplankton biomass were developed for temperate environments with high water availability, and studies on tropical environments with low water availability are scarce. Thus, the objective of this research is to model the dynamics of phytoplankton biomass in tropical eutrophic reservoirs impacted by prolonged drought events, assuming that light availability is the main factor limiting the growth of phytoplankton biomass in these environments. The proposed model will relate the effects of water volume reduction and light availability on phytoplankton growth, assuming a predominance of the cyanobacteria Cylindrospermopsis raciborskii species in the phytoplankton community. The model will be tested in two reservoirs located in the same watershed of a tropical semiarid region. The performance of the model will be analyzed through the minimum squares method by comparing the simulated data with the observed data. Thus, it is expected that the assumptions of the model will be sufficient to explain much of the pattern of variation of the phytoplankton biomass, with convergence between observed and simulated data. The model that will be proposed has the potential to become an important decision-making tool for integrated (quantitative and qualitative) management of eutrophic lakes and reservoirs in semi-arid regions.

MEMBROS DA BANCA:
Externo ao Programa - 2190974 - JOANA DARC FREIRE DE MEDEIROS
Presidente - 1362202 - JOSE LUIZ DE ATTAYDE
Interno - 1177742 - RONALDO ANGELINI
Interno - 1764855 - VANESSA BECKER