There are more than 50% of the population lives in urban contexts, while the cities account for only 0.3% of Earth’s surface. With the increasing urbanization worldwide, more and more people are or will be living under its impact on urban environment. Hydrometeorological processes are the key in the study of urban environment, in particular under the climate change. We have been conducting research in urban areas on observation, analysis and modeling, in close cooperation with the researchers worldwide. Our current research interests involve the dynamics of urban fluxes under changing climates, the impact on regional climate of the urban anthropogenic heat and effects on local hygrothermal processes caused by heterogeneity in urban-like surfaces.
Urban water resources refer to all accessible water in cities, including fresh and recycled water resources, which are fundamental to the formation and development of cities. The characteristics of urban water resources in China include the low water occupation per capita, severe shortage, overdevelopment, environmental problems caused by unreasonable usage of water resources. Methods and means of urban resources management mainly consists of 6 aspects: technology, economic, law, administration, education and policy. The application of technological methods improves the management of water resources. For instance, the development of water resources monitoring, simulation, prediction, optimization and control technologies plays an important role in the water resources storage, operation, and protection and contributes to the management of water resources.
Distributed Hydrologic Model (DHM), based on the 3S (RS/GPS/GIS) technology, considers spatial variation of the hydrologic phenomena (variables) and factors and features the separated inputs and centralized outputs. It allows the temporal variability of hydrologic processes (e.g. precipitation, evapotranspiration, infiltration, etc.) and the spatial distribution of surface properties (e.g. terrain features, soil properties, etc.). Compared with the traditional hydrologic models, DHMs are able to more realistically describe the hydrologic-physical process and to more effectively utilize the geophysical information of the watersheds. We develop distributed hydrologic models that fit the complex terrain for large mountain basins, conduct simulations of hydrologic processes and related applications (e.g. hydrologic forecasting, assessment of hydrologic uncertainties, etc.). Based on the simulation results, we investigate the impact on the hydrologic cycling of climate change and human activities.