Lirane Mandjoupa

Lirane Mandjoupa

*This is an algorithmically generated author record based on publicly available information.

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:


Latest Publications

  • Open Access

    Street-Level Sensing for Assessing Urban Microclimate (UMC) and Urban Heat Island (UHI) Effects on Air Quality

    by Lirane Kertesse Mandjoupa, Pradeep Behera, Kibria K. Roman, Hossain Azam, Max Denis

    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 μg/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

    Mobile Sensing for Assessing Urban Microclimate (UMC) and Urban Heat Island (UHI) Effects on Air Quality

    by Lirane Mandjoupa, Pradeep Behera, Kibria K Roman, Hossain Azam, Max Denis

    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.


  • Role of multiple reflections in identifying street canyons in microscale urban spaces

    by Dorian Davis, Lirane Mandjoupa, Samba Gaye, Shehabaldin Mohamed, Etochukwu Etochukwu, Wagdy Mahmoud, Lei Wan, Max Denis

  • Open Access

    3D noise modeling of an urban environment: Simulated and measured noise characteristics of the UDC campus

    by Lirane Mandjoupa, Dorian Davis, Samba Gaye, Shehabaldin Mohamed, Etochukwu Ofodile, Lei Wang, Wagdy Mahmoud, Max Denis

    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