[关键词]
[摘要]
为分析Gree-Ampt和稳渗两种入渗模型对城市内涝的影响,以陕西省西咸新区沣西新城核心区为研究区域,应用基于水文及水动力方法的城市雨洪过程数值模型模拟城市暴雨致涝过程。以Green-Ampt入渗模型计算产流,模拟研究区内涝积水过程,发现计算数据与实测数据吻合度高,内涝积水点均实现精确的模拟。计算了1 a、2 a、5 a、10 a、20 a、50 a 6种不同重现期设计降雨在两种不同入渗模型下的内涝积水总量与总面积的变化,结果表明:城市内涝积水达到峰值时,不同降雨重现期下GreenAmpt入渗下相较于稳渗内涝积水总量分别减少28.41%、26.49%、26.39%、21.04%、17.28%、15.02%,Ⅲ级及以上内涝积水总面积分别减少31.5%、28.6%、28.3%、20.7%、16.3%、12.7%。本研究应用不同入渗模型揭示了内涝积水程度在不同降雨重现期下的变化规律,对更合理地开展数值模型模拟以及城市雨洪管理工作具有重要借鉴意义。
[Key word]
[Abstract]
In order to analyze the influences of Green-Ampt and constant infiltration models on the numerical simulation results of urban inundation,Fengxi New City s taken as a case study to simulate the inundation processing by a urban stormwater numerical model based on hydrological and hydrodynamic methods.Using the Green-Ampt model to calculate the runoff process,the water accumulation in study area is simulated.It is found that the simulation result shows a good agreement with the measured one,and the inundation point can be accurately simulated.The changes of the total water quantity and inundation areaare calculated by using these two different infiltration model with the return period of 1 a,2 a,5 a,10 a,20 a and 50 a respectively.The results show that when the accumulated water reaches its peak value under the different rainfall return period, the water quantity under Green-Ampt model is reduced by 28.41%、26.49%、26.39%、21.04%、17.28%、and 15.02% respectively compared with the constant infiltration model.The total area of water in Class III and above decreased by 31.5%,28.6%,28.3%,20.7%,16.3%,and 127% respectively.This study reveals that the changing law of the inundation degree in different infiltration models under different rainfall return periods,and is of great significance for the more reasonable implementation of numerical model simulation and urban stormwater management.
[中图分类号]
[基金项目]
陕西省国际科技合作交流计划项目(2017KW-014);陕西省水利科技项目(Grant No.2017slki-14);陕西省科技厅项目(Grant No.2017JQ3043);西咸新区沣西新城海绵城市基础研究资金资助(2018610002000097);2017年宁夏建设科技计划项目:海绵城市建设效果关键指标数值模拟研究(2017-HMKT-01)