Presenter
Ms. Chenxi LI, Nanjing Research Institute of Hydrology and Water Conservation Automation
Co-author(s)
Ms. Minghui YU, Huairou District Water Authority
Ms. Guiyun PENG, Huairou District Water Authority
Ms. Nan ZHANG, Huairou District Water Authority
Ms. Ziying LU, Huairou District Water Authority
Mr. Zhongtai KOU, Huairou District Water Authority
Sub-theme
3. Building Resilience for Disaster Prevention and Mitigation
Topic
3-5. Monitoring and early warning of water-related disasters
Body
In 2021, Beijing released Instructions on Accelerating the Building of a Resilient City. Since then, 50 projects have been launched citywide to improve Beijing’s adaptation and resilience to disasters. A prioritized mission for these projects is to enhance the city’s resilience against floods and droughts. The Huaisha River (in Huairou District) is an important water source for Beijing, yet frequented by torrential floods. In wet seasons, riverine communities had been vulnerable to Landslides and debris flows. To address this challenge, Huairou District listed the Huaisha river management in its own resilience building project. Following the guidance for floods and droughts response or the Four Precautions (forecasting, early-warning, planning and rehearsing), this paper explores the potential of flood early-warning and forecasting systems on urban floods prevention and mitigation. This research employed the gridding technique in operating the Xinanjiang model by subdividing rainfall-runoff simulation and generated a distributed hydrological model capable of spacially combining the excess-infiltration process and excess-storage process; establishing an intelligent flood perceiving network centering the Huaisha river flood early-warning and forecasting system equipped with the flash flood forecasting and analysis model; and developing enabling environment including the framework, network communication links, application scenarios, standards and specifications. and security measures. The research introduced near-term precipitation forecasts in the system and accomplished real-time monitoring, timely updated analysis, precise early warning and scientific diagnosis of flood risks. The system proves to be robust in high-precision monitoring, forecasting and early warning for various leading times in a continuous way. When put into operation, the system optimized the regulation of water systems and facilitated dynamic management of floods rehearsals and planning. Consequently, water authorities of municipal and local levels have made more informed decisions. The flood early-warning and forecasting system and its performance illustrated in the paper demonstrate an example of river flood management modernization, which can be referred to by other disaster reduction projects.