Davidson Martins Moreira

• Doctor in Sciences of Mechanical Engineering (D.Sc)
• Professor (Full) at CIMATEC

The prediction of global horizontal irradiance (GHI) is crucial due to the rapid growth of photovoltaic energy, a sustainable and increasingly important source in the global energy landscape. The Northeast region of Brazil has exceptional potential for solar energy generation, thanks to its high levels of solar radiation throughout the year. This u...

This work presents a method for the analytical solution of the fractal advection-diffusion equation, considering the Hausdorff derivative to maintain dimensional consistency, so that is possible to simulate the atmospheric pollutant dispersion in the Planetary Boundary Layer (PBL). The results show that the fractal parameter is a function of atmosp...

Nowadays, several applications in engineering and science are considering fractional partial differential equations. However, this type of equation presents new challenges to obtaining analytical solutions, since most existing techniques have been developed for integer order differential equations. In this sense, this work aims to investigate the p...

The objective of this study is to model astrophysical systems using the nonlinear Fokker–Planck equation, with the Adomian method chosen for its iterative and precise solutions in this context, applying boundary conditions relevant to data from the Rossi X-ray Timing Explorer (RXTE). The results include analysis of 156 X-ray intensity distributions...

This study presents computational fluid dynamics (CFD) simulations to investigate the impact of urban vegetation on airflow patterns in an urban-like scenario. Using Reynolds-Averaged Navier-Stokes equations with a non-standard k − ϵ turbulence model, the effect of a canopy cover represented by young Mangifera indica on airflow characteristics is a...

O presente trabalho teve por objetivo avaliar as previsões de irradiância global horizontal (GHI) de até 48h à frente do modelo WRF-Solar no Centro de Referência em Energia Solar da Eletrobras Chesf, localizada no município de Petrolina (PE), o CRESP, para o período de julho de 2020 e outubro de 2020, meses de menor e maior incidência de radiação s...

The Amazon rainforest has been significantly impacted by increased deforestation and a temperature rise of 2.2°C. These factors and climate change disrupt the natural interaction cycle between the forest and the climate, affecting the global moisture flow. In this context, the present study aims to simulate meteorological variables, specifically ev...

This work proposes a methodology based on a combination of a Physics Informed Neural Network (PINN), a dispersion model associated to the RANS k-epsilon model, and the Particle Swarm Optimization (PSO) technique, to provide the source parameters of unknown atmospheric releases. A test case based on the simulations of the wind tunnel experiment Cedv...

The generation of electric energy through renewable sources, such as solar photovoltaic (PV) systems, has emerged as one solution to the climate change crisis. To avoid fluctuations in energy generation on the electricity grid, reliable and accurate forecasts are required. Statistical downscaling methodologies often rely on data from General Circul...

This study explores the urban heat island (UHI) phenomenon in the Metropolitan Region of Vitória (MRV), Brazil. Two methods were employed: the traditional approach estimating the Atmospheric Urban Heat Island (UHI) using air temperature data, and the quantiles method assessing the Surface Urban Heat Island (SUHI) through medium spatial resolution i...

The effective management of water resources in regions with a high potential for water resources, such as the Tocantins/Araguaia Basin in Brazil, is crucial in the face of current climate change and urban and agricultural expansion. In this context, this study evaluates the WRF-Hydro hydrological model to simulate the flow of the Manuel Alves Peque...

Wind power forecasting is pivotal in promoting a stable and sustainable grid operation by estimating future power outputs from past meteorological and turbine data. The inherent un-predictability in wind patterns poses substantial challenges in synchronizing supply with demand, with inaccuracies potentially destabilizing the grid and potentially ca...

This review aims to identify the available methodologies, data, and techniques for mapping the potential of solar and wind energy and its complementarity and to provide significant research and patents regarding these issues. The review shows that the mapping methodologies vary in space and time, going from a global scale to a microscale. Studies u...

This work presents a novel transformer-based deep neural network architecture integrated with wavelet transform for forecasting wind speed and wind energy (power) generation for the next 6 h ahead, using multiple meteorological variables as input for multivariate time series forecasting. To evaluate the performance of the proposed model, different...

Em 2015, a Organização das Nações Unidas propôs uma nova agenda de desenvolvimento sustentável para os próximos 15 anos, a Agenda 2030, composta por 17 Objetivos de Desenvolvimento Sustentável (ODS) e, entre eles, o ODS 3 que visa assegurar uma vida saudável e promover o bem-estar para todos. O objetivo deste estudo é levantar dados atuais dos indi...

Dry deposition removal process is a major environmental concern, especially because the material deposited over a surface may react with underling substances producing potential harmful substances. Dry deposition rates can be obtained from observational data, though it may be a hard task. The computational modeling using atmospheric dispersion mode...

In this work, we evaluated the evolution of some atmospheric pollutants (O3, NOx and PM10) over time and their relationship with four different climate variables (solar irradiation, air temperature, relative humidity and wind speed). To this end, we assessed the long-range dependence of those concentrations with a Detrended Fluctuation Analysis (DF...

This study aims to investigate the potential of fractional derivatives in the mathematical modelling of the dispersion of air pollutants. For this purpose, an analytical solution of the fractional two-dimensional advection–diffusion equation by combining generalized integral Laplace transform technique (GILTT) and conformable derivatives methods wa...

The concern about air pollution in urban areas has substantially increased worldwide. One of its main components, particulate matter (PM) with aerodynamic diameter of ≤2.5 µm (PM2.5), can be inhaled and deposited in deeper regions of the respiratory system, causing adverse effects on human health, which are even more harmful to children. In this se...

In this work, two analytical solutions for the 3D steady-state fractional advection–diffusion equation are obtained in order to study the dispersion of air pollutants. The first solution was obtained considering Caputo's derivative, and the other considered a conformable derivative. The Laplace decomposition method (LDM), which generates a fast con...

The air quality of a city can be assessed by applying a computational modelling approach. However, one of the most critical issues faced while running air quality models is based on the meteorological model setup, which can significantly affect simulations over a coastal urban area with complex terrain. Thus, this study evaluates the performance of...

In the Amazon, the frequency of extreme events has been increasing notably in recent decades. In April, May, and June 2021, the city of Manaus faced the greatest flood in 119 years, and the Rio Negro reached at a level of 29.98 m. Because of this, the present work aims to evaluate the performance of the WRF-Hydro model in simulating precipitation d...

Hydrological modeling is a technique for monitoring a region’s water resources. The WRF-Hydro model is a powerful system for this type of study and it is attracting more and more attention from the academic community. Studying the hydrology of a region involves several physical components sensitive to the occurrence of precipitation. Thus, to verif...

This work presents an analytical series solution of a two-dimensional advection–diffusion equation of fractional order, in the Jumarie fractional derivative sense, for the dispersion of pollutants within the planetary boundary layer. The series solution is obtained by applying the Laplace decomposition method considering the vertical turbulent diff...

Air quality improvement is directly associated with the Sustainable Development Goals (SDGs), established by the United Nations in 2015. To reduce potential impacts from air pollution, computational intelligence by supervised machine learning, using different artificial neural networks (ANNs) techniques, shows to be a promising tool. To enhance the...

This study details an evaluation of the onshore and offshore wind speed field in the state of Bahia, northeastern Brazil, using the WRF (Weather Research and Forecasting) mesoscale model, version 4.0. The simulations were run for a period of five years—between 2015 and 2020—with a horizontal resolution of 3 km, and were compared with data from 41 a...

The objective of this work is to analyze the scaling behavior of wind speed in the region of the state of Bahia, northeastern Brazil, in search of long-range correlations and other information about the crossover phenomena. Thus, data from 41 automatic surface stations were used for a period of five years—between 2015 and 2020—for onshore reading....

An evolution of smart and connected cars allows the advancement of smart cities and new business models for automakers. The main objective of this article was to understand the capability of Brazilian vehicles to collect meteorological data, through an observational approach of vehicle technologies and an applied study of automatic weather stations...

The current scenario of a global pandemic caused by the virus SARS-CoV-2 (COVID19), highlights the importance of water studies in sewage systems. In Brazil, about 35 million Brazilians still do not have treated water and more than 100 million do not have basic sanitation. These people, already exposed to a range of diseases, are among the most vuln...

This paper proposes an analysis of the financial market of 14 countries of the European Union, under the vision of the dynamic networks using the motif-synchronization method. It is found that the countries of Central Europe (France, the Netherlands, Germany, and the UK) are the most influential in the remaining exchanges of the European Union coun...

This study aims to explain the role of local emission sources to PM2.5 mass concentration in a tropical coastal-urban area, highly influenced by industrial and urban emissions, located in the Southeast of Brazil. The Integrated Source Apportionment Method (ISAM) tool was coupled with the chemistry and transport Community Multiscale Air Quality (CMA...

Large variations in wind energy production over a period of minutes to hours is a challenge for electricity balancing authorities. The use of reliable tools for the prediction of wind power and wind power ramp events is essential for the operator of the electrical system. The main objective of this work is to analyze the wind power and wind power r...

In this study, the performance of the mesoscale Weather Research and Forecasting (WRF) model is evaluated using combinations of three Planetary Boundary Layer (PBL) and three Land Surface Model (LSM) schemes, in order to identify the optimal parameters for the determination of wind speed in a tropical region. The state of Bahia in Brazil is selecte...

This study estimates exposure and inhaled dose to air pollutants of children residing in a tropical coastal-urban area in Southeast Brazil. For that, twenty-one children filled their time-activities diaries and wore the passive samplers to monitor NO2. The personal exposure was also estimated using data provided by the combination of WRF-Urban/GEOS...

This study focuses on atmospheric emissions from road vehicles in the Metropolitan Region of Salvador (RMS), northeaster Brazil. To investigate and analyse the contributions to air pollution, the methodology proposed and developed by the Ministry of the Environment (MMA) is used in the 1st National Inventory of Road Vehicle Emissions in 2011, the a...

This study simulates an unusual extreme rainfall event that occurred in Salvador City, Bahia, Brazil, on December 9, 2017, which was the subtropical storm Guará and had precipitation of approximately 24 mm within less than 1 h. Numerical simulations were conducted using the weather research and forecasting (WRF) model over three domains with horizo...

Currently, the NCAR (U.S. National Center for Atmospheric Research), the institution responsible for the WRF-Hydro (Weather Research and Forecasting - Hydro) model initiative, highlights four major global challenges: floods, pollution, droughts, and biodiversity. Thus, given the current scenario of a global pandemic caused by the Sars-CoV-2 virus (...

Beneath the earth there are many structures, such as different types of rocks and salts. Among them are also hydrocarbons that are a valuable resource for the oil and gas industry. One way of studying sub surfaces is using seismograms, which offers a seismic-wave representation with many valuable information of the area. By studying the patterns wi...

Meteorological data collected using ocean buoys are very important for weather forecasting. In addition, they provide valuable information on ocean–atmosphere interaction processes that have not yet been explored. Accordingly, data collection using ocean buoys is well established around the world. In Brazil, ocean buoy data are obtained by the Braz...

The management of water resources, today, is still a global challenge. Current climate models are not yet capable of satisfactorily representing interannual climate variations caused by atmospheric oscillations. Thus, the better representation of water resources issues requires data related to the variables involved with better quality, as well as...

This work presents a novel investigation on the nowcasting prediction of wind speed for three sites in Bahia, Brazil. For this, it was applied the computational intelligence by supervised machine learning using different artificial neural network technique, which was trained, validated, and tested using time series are derived from measurements tha...

In this paper, the modified Adomian decomposition method is utilised to solve fractional differential equations in two traditional geophysical problems: (i) the case of a current source, located on the surface of an infinite half-space, injecting electric current into the sub-surface; and (ii) the case of a plane electromagnetic wave propagating in...

Short-range wind speed predictions for subtropical region is performed by applying Artificial Neural Network (ANN) technique to the hourly time series representative of the site. To train the ANN and validate the technique, data for one year are collected by one tower, with anemometers installed at heights of 101.8, 81.8, 25.7, and 10.0 m. Differen...

This study evaluates the effect of the land use update to meteorological simulations in the Metropolitan Region of Greater Vitoria (MRGV) using the Weather Research and Forecasting (WRF) mesoscale model. WRF performance was analyzed using monitoring data like wind speed and direction, temperature, and sensible heat flux. In general, the changes in...

This article aims to evaluate and compare data of vertical potential temperature profile, wind velocity and PM 10

As ondas eletromagnéticas estão presentes em nosso cotidiano, sendo úteis em diversas áreas, tais como as teorias da medicina, geofísica, geologia, física, dentre outras. Na geofísica, por exemplo, aparecem com muita frequência nos métodos eletromagnéticos, onde são utilizados campos magnéticos, potenciais elétricos e ondas eletromagnéticas. As ond...

Seismic modeling is the process of simulating wave propagations in a medium to represent underlying structures of a subsurface area of the earth. This modeling is based upon a wave equation and it depends on a set of parameters of the subsurface. Recent studies have demonstrated that deep learning methods can be trained with seismic data to estimat...

Este trabalho mostra a existência de correlações de longo alcance das séries históricas e temporais de velocidade do vento e radiação solar na cidade de Salvador (Bahia) provenientes de dados medidos em estações meteorológicas, além de simulações com o modelo de mesoescala WRF (Weather Research and Forecasting), através do método DFA (Detrended Flu...

In this paper, the short-term wind speed forecasting in the tropical region of Mucuri, Bahia, Brazil, applying supervised machine learning algorithm by Multilayer Perceptron Neural Network, Recurrent Neural Network technique and Wavelet Packet Decomposition to the hourly time series representative of the site is presented. To train the Artificial N...

Great efforts have been made over the years to assess the effectiveness of air pollution controls in place in the metropolitan area of São Paulo (MASP), Brazil. In this work, the community multiscale air quality (CMAQ) model was used to evaluate the efficacy of emission control strategies in MASP, considering the spatial and temporal variability of...

Air pollution has been potentiated by anthropic action since the industrial revolution. In large cities, in addition to fixed sources, there are mobile sources. In this work, the focus was how to remove particulate matter from automotive vehicles, performing the quantification and provision of the registration event for motor vehicles in the Metrop...

Outdoor air pollution was responsible for approximately 4.2 million deaths around the world in 2016, with the emissions from road vehicles being the main source of air pollution in urban areas. To fulfill the need to identify the contribution of pollutants emitted by on-road vehicles and examine the limitations of various air quality models (bounda...

The conventional sources of energy such as oil, natural gas, coal, or nuclear are finite and generate environmental pollution. Alternatively, renewable energy source like wind is clean and abundantly available in nature. Wind power has a huge potential of becoming a major source of renewable energy for this modern world. It is a clean, emission-fre...

Deposited particles can potentially increase loads of nutrients or harmful compounds in the environment, and can be a source of nuisance to human populations. To estimate particle deposition flux, dispersion models usually include specific algorithms that consider meteorological conditions, land use, and characteristics of particles such as size di...

Resumo-Este trabalho apresenta a metodologia e os resultados preliminares do desenvolvimento de uma aplicação SIGWeb da bacia hidrográfica do rio Negro-RS. A necessidade de desenvolver a aplicação surgiu a partir do aumento do número de bolsistas e colaboradores do projeto de extensão universitária "Bacia hidrográfica do rio Negro-RS: conhecer para...

Metropolitan areas may suffer with increase of air pollution due to the growth of urbanization, transportation, and industrial sectors. The Metropolitan Area of Vitória (MAV) in Brazil is facing air pollution problems, especially because of the urbanization of past years and of having many industries inside the metropolitan area. Developing air qua...

In this study, a new fractional advection–diffusion equation is developed that governs the formation of a secondary pollutant (sulphur dioxide in sulphate) and considers the removal processes of the pollutant from the atmosphere. The equation is solved using a Laplace transform technique considering a vertically inhomogeneous planetary boundary lay...

We present an analytical solution of the advection–diffusion equation of integer and fractional order applied to the dispersion of pollutants in the planetary boundary layer. The solution is obtained using the Laplace decomposition method, and the perturbation is obtained by homotopy, considering the Caputo derivative in the fractional case. To obt...

This work presents an approximation of the Fractional derivative chain rule of the Caputo type with low fractional level to obtain exact solutions of the fractional versions of the Bernoulli and Riccati differential equations.

In this chapter, we present an analysis of the capacity of six topologies of neural networks—multilayer perceptron (MLP), complete (CP), random (RD), scale-free (SF), small world (SW), and hybrid (HY)—to perform next-step predictions of temperature and solar radiation. For this purpose, 100 networks of each complex topology, including an MLP networ...

An aborted rocket launch may occur because of explosions during pre-launch operations or launch performance, which generates a huge cloud near ground level comprising hot buoyant exhaust products. This action occur within a few minutes, and populated areas near the launch centre may be exposed to high levels of hazardous pollutant concentrations wi...

En los últimos años se ha desarrollado una importante transformación en algunos sistemas eléctricos en la región, Brasil en términos absolutos destaca como el país que ha incorporado más potencia eólica en América del Sur. Uruguay se ha posicionado en los primeros lugares a nivel mundial en lo que refiere a la participación relativa de la energía e...

Resumo A poluição atmosférica proveniente das atividades antropogênicas tem provocado incômodo à população da Região Metropolitana da Grande Vitória (RGV), Espirito Santo, Brasil. Muitos pacientes como asmáticos, alérgicos, químico sensíveis, cardiacos, pessoas com acidente vascular cerebral (AVC), diabetes, grávidas, idosos e crianças são especial...

In this paper, we use the conformable fractional derivative to discuss some fractional linear differential equations with constant coefficients. By applying some similar arguments to the theory of ordinary differential equations, we establish a sufficient condition to guarantee the reliability of solving constant coefficient fractional differential...

In this paper we use the conformable fractional derivative to discuss some fractional linear differential equations with constant coefficients. By applying some similar arguments to the theory of ordinary differential equations, we establish a sufficient condition to guarantee the reliability of solving constant coefficient fractional differential...