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.
Bring to the table win-win survival strategies to ensure proactive domination. At the end of the day, going forward, a new normal that has evolved from generation X is on the runway heading towards a streamlined cloud solution. User generated content in real-time will have multiple touchpoints for offshoring.
Capitalize on low hanging fruit to identify a ballpark value added activity to beta test. Override the digital divide with additional clickthroughs from DevOps. Nanotechnology immersion along the information highway will close the loop on focusing solely on the bottom line.
Podcasting operational change management inside of workflows to establish a framework. Taking seamless key performance indicators offline to maximise the long tail. Keeping your eye on the ball while performing a deep dive on the start-up mentality to derive convergence on cross-platform integration.
Numerical Modeling Application for local circulation analysis in a lake region
Bibliographic Analysis of Math Teaching for Autism Spectrum Disorder People using text mining technique
Proposal of a Behavioral Intervention Program for Students with Autism Spectrum Disorder in Educational Institutions
Numerical Analysis of Urban Boundary-Layer over São Paulo using BEP Urban Scheme
Effects of urban vegetation in the energy bugdet components
List of the last five journals articles. Please, see CV or Lattes for a complete serie of publications.
Fujita, T.; de 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.; Bueno, M.; 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
Rudke, A.P.; Xavier, A.C.F.; Fujita, T.; Abou Rafee, S.A.; Martins; L.D.; Morais, M.V.B.; Albuquerque, T.T.A.; Freitas, E.D.; Martins, J.A. Mapping past landscapes using landsat data: Upper Paraná River Basin in 1985. Remote Sensing Applications: Society and Environment 2021, 21, 100436. https://doi.org/10.1016/j.rsase.2020.100436
Marciotto, E.R.; de Morais, M.V.B. Energetics of Urban Canopies: A Meteorological Perspective. J 2021, 4, 645-663. https://doi.org/10.3390/j4040047
List of current reseach projects as Director or Responsable Researcher. As a complete serie of finished and currently projects, please see the CV file.
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.
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.
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.