Marcos V. Bueno de Morais

My research interests are urban climate, atmospheric numerical modeling (micro and mesoscale), air quality modeling, climate change, hydrological modeling and remote sensing products applied to urban sustainability.
I also work with data science and AI applied to environmental problems.


Teaching

Commercial Software Engineering

Jala University

Logic, Discrete Mathematics, Calculus I, and Linear Algebra

2023 - Present

Environmental Engineering Post-graduation Program

Federal Technological University - Paraná (UTFPR)

Atmospheric Modeling, Seminars, Statistics for environmental datasets, and Green Data Science courses.

2015 - Present

Department of Science Engineering

Maule Catholic University (UCM)

Hydrology, Advanced Hydrology, Environmental Modeling, Data Mining, and Research Methods

2019 - 2021

Industrial Mechatronics Technology

Technological University (Fatec)

Eletromagnetism and Classical Mechanics

2016 - 2018

Education

State University of Maringá (UEM)

Bachelor of Science
Physics

Numerical Modeling Application for local circulation analysis in a lake region

2004 - 2007

Faculdade Ibra de Brasília (FABRAS)

Bachelor of Education
Mathematics

Bibliographic Analysis of Math Teaching for Autism Spectrum Disorder People using text mining technique

2020 - 2021

Ampli (Anhanguera)

Technologist
Data Science
2022 - 2024

Faculdade Ibra de Tecnologia (FITEC)

Specialization Lato Sensu
Applied Behaviour Analysis (ABA)

Proposal of a Behavioral Intervention Program for Students with Autism Spectrum Disorder in Educational Institutions

2021 - 2022

University of São Paulo (USP)

Master of Science
Meteorology

Numerical Analysis of Urban Boundary-Layer over São Paulo using BEP Urban Scheme

2008 - 2010

University of São Paulo (USP)

Doctor of Science
Meteorology

Effects of urban vegetation in the energy bugdet components

2010 - 2014

Publications

List of the last five journals articles. Please, see CV or Lattes for a complete serie of publications.

  • Vara-Vela, A.L.; Machado Crespo, N.; Vendrasco, E.P.; Rojas-Benavente, N.; Morais, M.V.B.; Martins, J.A.; Phillips, V.T.J.; Gonçalves, F.L.T. Bulk cloud microphysical properties as seen from numerical simulation and remote sensing products: case study of a hailstorm event over the La Plata Basin. Journal of Southern Hemisphere Earth Systems Science, 2024, 74, 1.

  • Sobrinho, O.M.; Rudke, A.P.; Morais, M.V.B.; Martins, L.D. Meteorological Effects of Green Infrastructure on a Developing Medium Latin American City: A Numerical Modeling Assessment. Sustainability, 2023, 15, p. 1429

  • Fujita, T.; Morais, M.V.B.; Dos Santos, V.C.; Rudke, A.P.; de Eiras, M.M.; Xavier, A.C.F.; Abou Rafee, S.A.; Santos, E.B.; Martins, L.D.; Uvo, C.B.; de Souza, R.A.F.; de Freitas, E.D.; Martins, J.A. Simulating Discharge in a Non-Dammed River of Southeastern South America Using SWAT Model. Water 2022, 14, 488. https://doi.org/10.3390/w14030488

  • Vera-Puerto, I.; Valdés, H.; Morais, M.V.B.; Correa, C.; Olave, J.; Carrasco-Benavides, M.; Schiappacasse, F.; Arias, C.A. Reclamation of Treated Wastewater for Irrigation in Chile: Perspectives of the Current State and Challenges. Water 2022, 14, 627. https://doi.org/10.3390/w14040627

  • Morais, M.V.B. Comparação bibliográfica Sobre Ensino De matemática Para Pessoas Com Transtorno Autista Utilizando técnica De Mineração De Texto. REMAT 2022, 8, e2002. https://doi.org/10.35819/remat2022v8i1id5288


Research Projects

List of current reseach projects as Director or Responsable Researcher. As a complete serie of finished and currently projects, please see the CV file.

ANID #11220138

Green Infrastructure Modelling as a mitigation strategy for local climate change and air pollution in Latin American Cities

In the context of green infrastructure application and sustainable construction, this project has the hypothesis that the massive use of green roofs and facades (considering the usage of sedum plants, which is the most common and easy to maintain), and the constructed wetlands (CW), could contribute to the reduction in around 25% of PM2.5 and ozone pollutants concentrations in Talca and Metropolitan Area of Sao Paulo, cities located in Chile and Brazil, respectively. For CW, the primary plants for each place will be used for horizontal surface CW. Thus, the main objective of this project is to develop the green infrastructure representation in urban-atmosphere parameterization in mesoscale modeling to the pollution removal and temperature decrease in different climate conditions in Latin America.

2022 - 2025

FAPESP #2020/14556-4

Primary biological aerosol particles (PBAPs): modeling at Southeast and Southern Brazil cloud physics processes using WRF

Destructive hailstones have a substantial economic and social impact in the south and southeast regions of Brazil. Its measurement and analysis are extremely complicated since it is an intensely local and fast event. Furthermore, the knowledge of the processes that involve the formation of such storms is still unknown. In this sense, this project aims to study the role of primary biological aerosols particles in the formation of hail using numerical mesoscale modeling. For this, the WRF-Chem model will be used, to which the parameterization of microphysics will be modified to consider such effect. Simulations will be carried out considering the previously observed studies in the country's southwest region. To characterize the effect of aerosols on hail formation and study future projections of climate change impact, sensitivity tests with the model will also be performed.

2021 - 2023

CNPq #423316/2018-4

Spatial and temporal characterization of hailstorms using electronic sensors

Although hail is a well-known extreme event, its study is innovative in Brazil. This is due to the fact that it is a highly local and short-lived phenomenon. In this way, it is extremely complicated to use equipment for measuring hail, currently being measured through plates in which the ice stones leave marks of incidence. Even being useful in determining the size of the stones, these plates do not provide important and decisive information for the study of hailstorms, how long they last and the onset of rain. Thus, this project proposes the development of an automatic granizometer, using sound and rain sensors capable of identifying the onset and duration of hailstorms. In this way, it is expected that the equipment developed from this project will be used in hail studies, contributing to an improvement in the quality of the data provided.

2019 - 2023

Skills

Programming Languages & Tools
Workflow
  • Ensemble design for wave (WW3)and atmospheric (WRF) models
  • Linux automation process including modeling (WW3, WRF and SWAT - hydrological)
  • Reviewer of 20+ scientific journals
  • Reviewer of MCTIC (Ministry of Science of Brazil) FINEP projects and ANID (Chile)