College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.
College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.
J Environ Manage. 2022 Nov 1;321:115935. doi: 10.1016/j.jenvman.2022.115935. Epub 2022 Aug 23.
With climate change and urbanization development, urban areas are facing more serious floods. As a result, hydrological and hydrodynamic models have recently shown a broad application prospect in urban flood simulating and forecasting. For the area with rich inland rivers, urban water resources can be effectively regulated and redistributed through river networks and hydraulic structures scheduling. However, the lack of research on the effect of scheduling becomes a major limitation in model applications. Based on a coupled hydrodynamics model, the current study simulates the flooding response to the combined rainstorm and scheduling scenarios and analyzes the river overflow at the community scale. The result indicated that three local regions in the Jin'an study area are inundated easily. The locations near Qinting Lake were more sensitive to the water regulation rules than others. In the model of control on Qinting Lake, section A is more sensitive to the schedule control than section B, while for section A, the water level increased by 1.44% under the return period (RP) (10 a), and the rate changed to 2.64% under the RP (100 a). The differences in inundation from various scenarios are relatively small. In the mode of joint discharge rules under RP (50 a), the water level changed by 4.77% in section A and 1.24% in section B. The simulation at the community scale considers the overflow process, and the results indicated that the total inundation area decreased by 12.8 ha under joint schedules. The significant effects to alleviate urban inundation mainly come from the decreased flood overflow from the channel, but not from the flooding nodes. This study provides promising references for urban flood management.
随着气候变化和城市化的发展,城市地区正面临着更为严重的洪水问题。因此,水文和水动力模型最近在城市洪水模拟和预测方面显示出了广阔的应用前景。对于内陆河流丰富的地区,可以通过河网和水力结构调度来有效调节和重新分配城市水资源。然而,调度效果的研究不足成为模型应用的主要限制。本研究基于耦合水动力模型,模拟了暴雨和调度联合情景下的洪水响应,并分析了社区尺度的河道溢流量。结果表明,金安研究区的三个局部地区容易发生洪水。秦亭湖附近的位置比其他位置对水调节规则更为敏感。在秦亭湖的控制模型中,A 断面比 B 断面对调度控制更为敏感,而在 A 断面,重现期(RP)(10 年)下水位增加了 1.44%,而 RP(100 年)下的水位变化率为 2.64%。不同情景下的洪水淹没差异相对较小。在 RP(50 年)下联合排放规则的模式中,A 断面水位变化 4.77%,B 断面水位变化 1.24%。社区尺度的模拟考虑了溢流水过程,结果表明联合调度下总淹没面积减少了 12.8 公顷。减轻城市洪水的显著效果主要来自于河道洪水溢出的减少,而不是洪水节点的增加。本研究为城市洪水管理提供了有前景的参考。