Ju-Hwan Rho
Biographic Data
| ID | 7998607 |
|---|---|
| NAME | Ju-Hwan Rho |
| GIVEN NAMES | Ju-Hwan |
| FAMILY NAME | Rho |
| SIGNATURE | RHO J |
| AFFILIATIONS | Pukyong National University |
| ORCID | 0009-0001-4635-837X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Impact of Super High-Rise Buildings on Gust Generation in Surrounding Areas During Typhoon Landfall
This study investigates the effects of a high-rise building complex (HB) located in the Haeundae District, Busan, South Korea on surrounding airflow patterns and gust generation using the Parallelized Large-Eddy Simulation Model Version 6.0. Numerical simulations were validated against wind speeds measured during the landfall of Typhoon Hinnamnor, which affected the Busan area in South Korea. To assess the impact of HB height, scenario experiment…
CFD-quality nowcasting for urban air mobility with a deep learning-based emulator
Urban air mobility (UAM) aircraft typically operate at altitudes of 1000–2000 feet over complex urban terrains, where airflow interactions with structures create dynamic conditions requiring precise, real-time meteorological forecasts. Traditional large-scale forecasting systems often struggle to adequately capture turbulent boundary-layer characteristics due to coarse grid resolutions, while high-resolution computational fluid dynamics (CFD) sim…
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Impact of Super High-Rise Buildings on Gust Generation in Surrounding Areas During Typhoon Landfall
This study investigates the effects of a high-rise building complex (HB) located in the Haeundae District, Busan, South Korea on surrounding airflow patterns and gust generation using the Parallelized Large-Eddy Simulation Model Version 6.0. Numerical simulations were validated against wind speeds measured during the landfall of Typhoon Hinnamnor, which affected the Busan area in South Korea. To assess the impact of HB height, scenario experiment…
CFD-quality nowcasting for urban air mobility with a deep learning-based emulator
Urban air mobility (UAM) aircraft typically operate at altitudes of 1000–2000 feet over complex urban terrains, where airflow interactions with structures create dynamic conditions requiring precise, real-time meteorological forecasts. Traditional large-scale forecasting systems often struggle to adequately capture turbulent boundary-layer characteristics due to coarse grid resolutions, while high-resolution computational fluid dynamics (CFD) sim…
Environmental Science (2 works) · Geography (2 works) · Meteorology (2 works) · Wind and Air Flow Studies (2 works) · Aerospace Engineering (1 work) · Air quality index (1 work) · Air Quality Monitoring and Forecasting (1 work) · Climatology (1 work) · Computational fluid dynamics (1 work) · Computer Science (1 work)