Watershed

Oral

393035 - Impact of Urbanization on Hydrological Processes: A Case Study of Xinji River in Southern China

Monday, June 4
4:00 PM - 5:30 PM
Location: Greenway IJ

Urbanization has become a global trend over the past century. Urbanization changes watershed land use/cover (LUC) types, and in most cases, converts the pervious surfaces (e.g., vegetated LUC) into impervious surfaces (e.g., urban land). Therefore, urbanization significantly changes the hydrological characteristics of urbanized watersheds. For example, the surface peak flow and runoff quantity will increase in urbanized areas, and the lag time will decrease. Watershed planners and managers must be aware of these changes. Increased flood peaks require increased flood mitigation capacities, such as larger flood retention and storage ponds, higher dikes, wider river channels, etc., as well as evolving strategies for the operation of flood mitigation systems. Quantitatively determining the effect of urbanization on the hydrological processes is extremely important for watershed planning and management, but unfortunately this study has not been studied well in China. This article studied the impact of urbanization on the peak flow and runoff coefficient of a highly urbanized watershed in southern China, the Shigu creek. The Liuxihe model, a physically based, distributed hydrological model proposed for watershed flood forecasting is employed to simulate the flood processes of Shigu creek, and the LUCs at 12 time periods derived from satellite remote sensing imagery are used to estimate the model parameters corresponding to urbanization. Precipitation from 12 storms was collected and used to simulate the flood processes. The results show that the peak flow and runoff coefficient increased largely, and appropriate measurement should be done to adapt to this change.

Yangbo Chen

Professor
Sun Yat-sen University

Dr. Yangbo Chen is a professor in Hydrology and water resources at Sun Yat-Sen University, and the Director of the Laboratory of Water Disaster Management and Hydroinformatics. Prof. Chen has a broad research areas in both hydrological sciences and remote sensing, he has well established expertise in new generation flood forecasting method that is supported by remote sensing and GIS techniques, precipitation estimation based on weather radar and satellite, digital terrain analysis with remotely sensed data, decision support system for water resources management and flood forecasting and management. He has investigated numerous research projects in hydrology and remote sensing, published more than 80 papers, two books, and 7 conference proceedings. Except scientific studies, Prof. Chen is very active in applying hydrological model and remote sensing technique to solve the real-world problem, particularly for flood forecasting and flood risk management and planning. He developed an innovative distributed hydrological model, the Liuxihe model, which is now widely used in China for watershed flood forecasting, including flash flood in mountainous watersheds and urbanized watersheds.

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