I am a researcher in the Earth and Environmental Sciences group at the Center for Scalable Data Analytics and Artificial Intelligence from Leipzig University. I am also associated with the Helmholtz Center for Environmental Research. My research integrates data science methods, including machine learning, optimization, and text mining, to water resources planning and management. My current work is focused on identifying the cascading impacts of natural hazards using text data.
Publications
(2024).
Análise do desempenho de valas de infiltração para controle pluvial em cenários de mudanças climáticas: estudo de caso Fortaleza (CE).
Revista DAE.
(2024).
Unveiling water allocation dynamics: a text analysis of 25 years of stakeholder meetings.
Environmental Research Letters.
(2023).
Uncovering the influence of hydrological and climate variables in chlorophyll-A concentration in tropical reservoirs with machine learning.
Environmental Science and Pollution Research.
(2023).
Integrated proactive drought management in hydrosystems and cities: building a nine-step participatory planning methodology.
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
(2021).
Variational Mode Decomposition Hybridized With Gradient Boost Regression for Seasonal Forecast of Residential Water Demand.
Water Resources Management.
Talks and Events
Projects
O processo de alocação negociada, conduzido anualmente pela COGERH após a estação chuvosa, é o elemento-chave do processo de participação social na gestão de recursos hídricos.
Water allocation decisions have become increasingly participatory in Northeast Brazil, but powerful actors still dominate discussions.
O processo de alocação negociada de água tem se construído de forma adaptativa, participativa e escalável ao longo das últimas décadas. Entretanto, ainda não há documentação formal que detalhe o processo e suas etapas constituintes.
