Urban Flood Modeling and Risk Assessment with Limited Observation Data: The Beijing Future Science City of China.

The frequency of urban storms has increased, influenced by the climate changing and urbanization, and the process of urban rainfall runoff has also changed, leading to severe urban waterlogging problems. Against this background, the risk of urban waterlogging was analyzed and assessed accurately, using an urban stormwater model as necessary. Most studies have used urban hydrological models to assess flood risk; however, due to limited flow pipeline data, the calibration and the validation of the models are difficult.

The spatial and temporal evolution of the actual evapotranspiration based on the remote sensing method in the Loess Plateau.

Due to the joint impact of climate change and human activities, vegetation cover area in Loess Plateau has been tremendously improved. However, vegetation restoration will lead to high water use, which might pose a great threat to the water sustainability of regional ecosystems. In order to analyze the spatiotemporal characteristics of water consumption, this study estimated the actual evapotranspiration (AET) based on the SEBAL model.