PRD_pop_data.gdb：
This dataset provides spatial distribution data of the population in the Pearl River Delta (PRD) urban agglomeration during both daytime and nighttime. The dynamic population distribution was derived by integrating demographic statistics and mobile location data. Demographic data were sourced from the Guangdong Statistical Yearbook 2023, while mobile location data were obtained from Baidu Map Huiyan, with a total of 760 million records collected within the study area. Two representative time points were selected: 3:00 AM (nighttime) and 2:00 PM (daytime). As the original data are in aggregated point form, a modeling approach was applied to simulate continuous population distribution. We used kernel density estimation (KDE) to generate spatial density distribution maps at a 1-minute resolution for two time periods, accurately capturing the population distribution patterns in the Pearl River Delta region.


​​PRD_flddph.gdb​​：
This dataset presents simulated river flood depths across the Pearl River Delta urban agglomeration under two scenarios: with and without reservoirs, for 5-, 20-, 50-, and 100-year return periods. Daily flood discharge and depth were simulated using CaMa-Flood from 1989 to 2023 at a spatial resolution of 0.1°, considering both presence and absence of dam impacts. To align with higher-resolution population distribution data, flood bathymetry outputs were downscaled to 1-minute resolution via a routine implemented in CaMa-Flood v4.20 (see Hanazaki et al., 2022 for details). Flood volumes per grid cell for each return period were derived using the Gumbel distribution.

References:
Hanazaki, R., Yamazaki, D., & Yoshimura, K. (2022). Development of a Reservoir Flood Control Scheme for Global Flood Models. Journal of Advances in Modeling Earth Systems, 14(3), e2021MS002944. https://doi.org/10.1029/2021MS002944