Lirane Mandjoupa
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Lirane Mandjoupa has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
- Max Denis
Department of Mechanical Engineering, University of the District of Columbia, Washington, DC, USA
3 shared publications - Hossain Azam
Department of Civil and Mechanical Engineering, School of Engineering and Applied Sciences, University of the District of Columbia, 4200 Connecticut Avenue NW, Washington, DC 20008, USA
2 shared publications - Kibria K. Roman
Department of Mechanical Engineering and ARES, State University of New York Canton, Canton, NY 13617, USA
2 shared publications - Pradeep K. Behera
Department of Civil and Mechanical Engineering, School of Engineering and Applied Sciences, University of the District of Columbia, 4200 Connecticut Avenue NW, Washington, DC 20008, USA
2 shared publications Dorian Davis
Univ. of the District of Columbia, 4200 Connecticut Ave. NW, Washington, DC 20008
1 shared publication- Dorian Davis
University of the District of Columbia, Washington, DC, 20008, USA
1 shared publication
Latest Publications
- Open Access
- 30 May 2025
- Published by MDPI AG in Environments
- Vol. 12 (6) , 184
Street-Level Sensing for Assessing Urban Microclimate (UMC) and Urban Heat Island (UHI) Effects on Air Quality
During the intense heatwaves of late summer 2024, Washington, D.C.’s urban landscape revealed the powerful influence of urban morphology on microclimates and air quality. This study investigates the impact of building height-to-width (H/W) ratios on the urban heat island (UHI) effect, using a combination of field measurements and Computational Fluid Dynamics (CFD) simulations to understand the dynamics. Street-level data collected from late August to November 2024 across three sites in Washington, D.C., indicate that high H/W ratios (1.5–2.0) increased temperatures by approximately 2–3 °C and reduced wind speeds to around 0.8 m/s. These conditions led to elevated pollutant concentrations, with ozone (O3) ranging from 1.8 to 7.3 ppb, nitrogen dioxide (NO2) from 0.3 to 0.5 ppm, and carbon monoxide (CO) remaining relatively constant at approximately 2.1 ppm. PM2.5 concentrations fluctuated between 2.8 and 0.4 g/m3. Meanwhile, lower H/W ratios (less than 1.5) demonstrated better air circulation and lower pollution levels. The CFD simulations are in agreement with the experimental data, yielding an RMSE of 0.75 for temperature, demonstrating its utility for forecasting UHI effects under varying urban layouts. These results demonstrate the potential of Computational Fluid Dynamics in not only modeling but also predicting UHI dynamics.- 30 May 2025
- Published by MDPI AG in Environments
- Vol. 12 (6) , 184
Open AccessStreet-Level Sensing for Assessing Urban Microclimate (UMC) and Urban Heat Island (UHI) Effects on Air Quality
During the intense heatwaves of late summer 2024, Washington, D.C.’s urban landscape revealed the powerful influence of urban morphology on microclimates and air quality. This study investigates the impact of building height-to-width (H/W) ratios on the urban heat island (UHI) effect, using a combination of field measurements and Computational Fluid Dynamics (CFD) simulations to understand the dynamics. Street-level data collected from late August to November 2024 across three sites in Washington, D.C., indicate that high H/W ratios (1.5–2.0) increased temperatures by approximately 2–3 °C and reduced wind speeds to around 0.8 m/s. These conditions led to elevated pollutant concentrations, with ozone (O3) ranging from 1.8 to 7.3 ppb, nitrogen dioxide (NO2) from 0.3 to 0.5 ppm, and carbon monoxide (CO) remaining relatively constant at approximately 2.1 ppm. PM2.5 concentrations fluctuated between 2.8 and 0.4 g/m3. Meanwhile, lower H/W ratios (less than 1.5) demonstrated better air circulation and lower pollution levels. The CFD simulations are in agreement with the experimental data, yielding an RMSE of 0.75 for temperature, demonstrating its utility for forecasting UHI effects under varying urban layouts. These results demonstrate the potential of Computational Fluid Dynamics in not only modeling but also predicting UHI dynamics. - Open Access
- 24 February 2025
- Published by MDPI AG in Preprints.org
Mobile Sensing for Assessing Urban Microclimate (UMC) and Urban Heat Island (UHI) Effects on Air Quality
During the intense heatwaves of late summer 2024, Washington, DC’s urban landscape revealed the powerful influence of urban morphology on microclimates and air quality. This study investigates how building height-to-width (H/W) ratios impact the urban heat island (UHI) effect, using a combination of field measurements and CFD simulations to understand the dynamics. Street-level data collected from late August to November 2024 across three sites in Washington DC. show that high H/W ratios 2.5–3.0, significantly increased temperatures 30.12–32.10°C and reduced wind speeds 0.02–3.20 m/s, leading to elevated pollutant concentrations, with PM2.5 averaging 2.19 µg/m³. Meanwhile, lower H/W ratios less than 1.5 demonstrated better air circulation and lower pollution levels. The CFD simulations are in good agreement with the experimental data yielding an RMSE of 0.75 for temperature, thus demonstrating its utility for forecasting UHI effects under varying urban layouts. These results demonstrate the potential of CFD in not only modeling but also predicting UHI dynamics, providing valuable tools for urban planners to mitigate heat and improve air quality through strategic design decisions.
- 24 February 2025
- Published by MDPI AG in Preprints.org
Open AccessMobile Sensing for Assessing Urban Microclimate (UMC) and Urban Heat Island (UHI) Effects on Air Quality
During the intense heatwaves of late summer 2024, Washington, DC’s urban landscape revealed the powerful influence of urban morphology on microclimates and air quality. This study investigates how building height-to-width (H/W) ratios impact the urban heat island (UHI) effect, using a combination of field measurements and CFD simulations to understand the dynamics. Street-level data collected from late August to November 2024 across three sites in Washington DC. show that high H/W ratios 2.5–3.0, significantly increased temperatures 30.12–32.10°C and reduced wind speeds 0.02–3.20 m/s, leading to elevated pollutant concentrations, with PM2.5 averaging 2.19 µg/m³. Meanwhile, lower H/W ratios less than 1.5 demonstrated better air circulation and lower pollution levels. The CFD simulations are in good agreement with the experimental data yielding an RMSE of 0.75 for temperature, thus demonstrating its utility for forecasting UHI effects under varying urban layouts. These results demonstrate the potential of CFD in not only modeling but also predicting UHI dynamics, providing valuable tools for urban planners to mitigate heat and improve air quality through strategic design decisions.
- 1 April 2022
- Published by Acoustical Society of America (ASA) in The Journal of the Acoustical Society of America
- Vol. 151 (4_Suppleme) , A37
Role of multiple reflections in identifying street canyons in microscale urban spaces
- 1 April 2022
- Published by Acoustical Society of America (ASA) in The Journal of the Acoustical Society of America
- Vol. 151 (4_Suppleme) , A37
Role of multiple reflections in identifying street canyons in microscale urban spaces
- Open Access
- 1 January 2022
- Published by Acoustical Society of America (ASA) in Proceedings of Meetings on Acoustics
- Vol. 52 (1) , 045006
3D noise modeling of an urban environment: Simulated and measured noise characteristics of the UDC campus
In this work, a 3-D numerical method is employed to predict the noise propagation within the University of the District of Columbia (UDC). UDC is located within In this work, a 3-D numerical method is employed to predict the noise propagation within the University of the District of Columbia (UDC). UDC is located within
- 1 January 2022
- Published by Acoustical Society of America (ASA) in Proceedings of Meetings on Acoustics
- Vol. 52 (1) , 045006
Open Access3D noise modeling of an urban environment: Simulated and measured noise characteristics of the UDC campus
In this work, a 3-D numerical method is employed to predict the noise propagation within the University of the District of Columbia (UDC). UDC is located within In this work, a 3-D numerical method is employed to predict the noise propagation within the University of the District of Columbia (UDC). UDC is located within