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LID径流控制效果对设计暴雨重现期的响应
引用本文:杨少雄,侯精明,陈光照,李东来,马越,梁行行.LID径流控制效果对设计暴雨重现期的响应[J].水资源保护,2020,36(6):93-98.
作者姓名:杨少雄  侯精明  陈光照  李东来  马越  梁行行
作者单位:西安理工大学西北旱区生态水利国家重点实验室, 陕西 西安 710048;陕西省西咸新区沣西新城开发建设(集团)有限公司海绵城市技术中心, 陕西 西安 712000
基金项目:国家自然科学基金(51609199);陕西省水利科技项目(2017slkj-14)
摘    要:为分析不同重现期降雨与径流控制率的变化规律,以西咸新区典型海绵建设小区为例,采用基于GPU加速技术并耦合了管网系统的二维城市雨洪过程模型,对该小区不同重现期设计降雨条件下的径流控制效果变化规律进行量化分析。结果显示:通过与实测资料进行对比验证,模型模拟的流量与实测流量过程吻合度较高;随着降雨重现期的增大,径流控制率逐渐减小;在1年一遇降雨条件下,径流控制率为82.5%,100年一遇条件下,径流控制率降为29.5%;随着重现期的增大,径流控制率的差值逐渐减小,径流控制率减小的趋势逐渐平缓。

关 键 词:暴雨重现期  径流控制率  城市雨洪模型  管网模型  数值模拟  GPU加速技术
收稿时间:2019/12/30 0:00:00

Response law of LID runoff control effect to design rainstorm return period
YANG Shaoxiong,HOU Jingming,CHEN Guangzhao,LI Donglai,MA Yue,LIANG Hanghang.Response law of LID runoff control effect to design rainstorm return period[J].Water Resources Protection,2020,36(6):93-98.
Authors:YANG Shaoxiong  HOU Jingming  CHEN Guangzhao  LI Donglai  MA Yue  LIANG Hanghang
Abstract:In order to analyze the variation law of rainfall and runoff control rate in different return periods, this research through using two-dimensional urban flooding model based on GPU acceleration technology and coupled with a pipe network system developed by author. This work adopted to quantitatively analyze the runoff control rate of the district by simulating the runoff control effect of the district under the typical design rainfall process. The results indicate that the simulated flow process is in good agreement with the measured value through comparison and verification with the measured data. With the increase of rainfall return period, runoff control rate gradually decreases. Under the condition of rainfall once a year, the runoff control rate is 82.5%, and under the condition of rainfall once a hundred years, the runoff control rate is reduced to 29.5%. With the increase of return period, the difference of runoff control rate gradually decreases and the decreasing trend of runoff control rate gradually flattened.
Keywords:rainfall return period  runoff control rate  urban storm water management model  pipe network model  numerical simulation  GPU acceleration technology
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