@Article{icces.2025.012284,
AUTHOR = {Xiao Li, Junxiang Liu, Weinan Fan, Shiying Xu},
TITLE = {Hydrological Appraisal using X-band Phased Array Radar Network for Pluvial Flood Simulations in Chinese Mega Cities},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {33},
YEAR = {2025},
NUMBER = {1},
PAGES = {1--2},
URL = {http://www.techscience.com/icces/v33n1/63912},
ISSN = {1933-2815},
ABSTRACT = {Flooding is one of the most common types of natural hazards leading to wide-spread disturbances and damages to 
human communities and natural environment across the world. Flood forecasting is an effective means to provide 
timely hazard information to relevant government decision-makers and practitioners as well as those residents at 
risk, which plays an important role in flood risk reduction. A complete flood forecasting system normally includes 
at least two components, that is precipitation predictions and a hydrological or hydraulic model for flooding 
processes simulation. However, the current flood forecasting especially for urban floods face obvious obstacles. 
One obstacle is that the conventional methods of precipitation measurement cannot effectively reflect and capture 
intense rainstorms. Meanwhile, rapid urbanization causes drastic changes in the underlying surface conditions of 
urban space, which bring higher requirements for hydrological or hydraulic model in being capable of forecasting 
the spreading flood dynamics and extents for complex urban space. <br/>
This two-year trial aims to develop a new forecasting system by coupling a graphics processing unit (GPU) 
accelerated hydrodynamic model with radar precipitation estimates and predictions to provide high-resolution, 
urban-scale forecasting of rainfall-runoff and flooding processes induced by intense rainfall. This will be achieved 
by (1) Improved HiPIMS (High-Performance Integrated hydrodynamic Modelling System) for flood modelling in 
large cities: HiPIMS will be improved by coupling with drainage models to simulate the flooding inundation 
process at a city scale. (2) Precipitation forecasts for intense rainfall: Radar rainfalls will be blended with the 
GRAPES rainfall products to realize the quantitative precipitation forecast for the next 6 hours in every 30 minutes 
at a spatial resolution of 1 km. The time matching method is adopted to construct the time-varying weight 
coefficients for nowcasting and numerical model forecasting. (3) Field experiments: urban flood observation and 
experiments in a site will be undertaken to test the performance of improved HiPIMS and precipitation forecasts. 
(4) Integrated urban flood forecasting system: With the support of RS, GIS and software engineering, an integrated 
urban flood forecasting system will be constructed and tested in Guangzhou City, China. <br/>
The collaboration built up by this project and the first-hand experiment data will serve well to further catalyse the 
taking-up of state-of-the-art weather radars for urban flood risk management, and to tackle the innovation in 
tuning the radar technology to fit the complex urban environment as well as advanced modelling facilities that are 
designed to link the observations, providing decision making support to the city government. Recommendations 
for applying high spatial-temporal resolution precipitation data to real-time flood forecasting on an urban 
catchment are provided and suggestions for further investigation are discussed. },
DOI = {10.32604/icces.2025.012284}
}