HydroIn

Radar Hydrology

Radar remote sensing has significant advantages, such as high spatial resolution, strong dynamic continuity, and rich signal types, which compensate for the traditional passive remote sensing. It provides important support for the observation and understanding of terrestrial water cycle variables. Focusing on rainfall and soil moisture, the team studies the mechanism, mapping, and uncertainty of radar rainfall inversion, as well as scale conversion and spatial and temporal heterogeneity mining of radar soil moisture inversion. The goal of the team is to develop an integrated radar remote sensing inversion for hydrological applications.

References：

Dai, Q., Zhu, J., Lv, G., et al., 2023, Radar remote sensing reveals potential underestimation of rainfall erosivity at the global scale, Science Advances, 9: eadg5551.
Dai, Q., Yang, Q., Han, D., et al., 2019. Adjustment of radar‐gauge rainfall discrepancy due to raindrop drift and evaporation using the Weather Research and Forecasting model and dual-polarization radar. Water Resources Research, 55: 9211–9233.

Data-driven model for hydrological hazards

Based on the extensive hazard data from space and ground measurements, data and physical coupling driven model is the key to support rapid forecasting and early warning of hydrological hazards. The team builds a large dataset for different hydrological hazards (e.g. urban flooding, flash flooding, landslides and erosion) based on multi-source remote sensing observations. By integrating the mechanism of the hydrological hazard process, the team develops a data-driven hydrological hazard model with strict physical constraints and cyclic iteration.

References：

Xu, Y., Dai, Q., Increased significance of global concurrent hazards from 1981 to 2020, 2024. Earths Future.
Zhao, B., Dai, Q., Han, D., et al., 2019, Probabilistic thresholds for landslides warning by integrating soil moisture conditions with rainfall thresholds, Journal of Hydrology, 574: 276-287.

Systematic simulation for urban hydrological hazards

With the impact of climate change and human activities, more and more extreme processes are superimposed on the same time and space, greatly weakening the stability of natural and social systems. The team simulates the comprehensive impact of different hydrological hazards such as urban flooding, inundation, landslides, etc. on the urban system individually and compositely. An open-source, cross-platform simulator for coupling urban systems and compound hazards is developed. The team is also constructing the systematic risk management framework of hydrological hazards by modeling the entire rainfall, runoff, disaster and dispersion processes in the city.

References：

Dai, Q., Zhu, X., Zhuo, L., et al., 2020. A hazard-human coupled model (HazardCM) to assess city dynamic exposure to rainfall-triggered natural hazards. Environmental Modelling & Software, 127: 104684.
Zhu, X., Dai, Q., Han, D., et al., 2019, Modeling the high-resolution dynamic exposure to flooding in a city region, Hydrology and Earth System Sciences, 23, 3353–3372.