摘要
为了解决城市洪涝模拟精细地形数据难以获取的问题,提出了一种考虑管网数据、道路数据和建筑物数据等多源数据融合的城市洪涝模拟高精度地形构建方法。以唐山市龙王庙河周边区域作为实例验证研究区域,基于该方法构建的DEM建立了研究区城市雨洪模型(GAST-SWMM耦合模型),并对两场降雨条件下的雨洪过程进行了模拟,模拟得到的积水位置与实际积水位置相吻合,其中一场降雨条件下两处水位的纳什效率系数分别达到0.92和0.87,水位峰值相对误差为3.35%和3.63%,验证了方法的有效性,表明采用该方法构建的DEM能够较好地反映研究区域的地形特征,可满足城市洪涝模拟的精度要求。
To address the challenge of obtaining high-resolution topographic data for urban flood simulation,a method for constructing high-precision terrain was proposed by integrating multi-source data,including drainage network data,road data,and building data.Taking the area surrounding the Longwangmiao River in Tangshan City as a case study validation area,an urban stormwater model(GAST-SWMM coupled model)was developed based on the digital elevation model(DEM)constructed by the proposed method,and was used to simulate the stormwater processes under two different rainfall events.The simulated waterlogging positions closely match the actual ones.For one of the rainfall events,the Nash-Sutcliffe efficiencies for the water levels at two manholes reach 0.92 and 0.87,respectively,with relative peak water level errors of 3.35%and 3.63%.These verify the effectiveness of the proposed method,indicating that the DEM constructed using this method can accurately reflect the topographic features of the study area and meet the accuracy requirements for urban flood simulations.
作者
梁鑫
侯精明
王添
李东来
陈光照
陈瑜
吕佳豪
高徐军
刘园
LIANG Xin;HOU Jingming;WANG Tian;LI Donglai;CHEN Guangzhao;CHEN Yu;LYU Jiahao;GAO Xujun;LIU Yuan(State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China,Xi’an University of Technology,Xi’an 710048,China;China Academy of Urban Planning and Design,Beijing 100044,China;POWERCHINA Northwest Engineering Corporation Limited,Xi’an 710065,China)
出处
《水利水电科技进展》
CSCD
北大核心
2024年第6期56-63,共8页
Advances in Science and Technology of Water Resources
基金
国家自然科学基金项目(52079106)
中德合作交流项目(M-0427)
中国电力建设股份有限公司重点科技项目(D-ZDXM-2022-41)。
关键词
城市洪涝模拟
地形构建
数字高程模型
数据融合
城市雨洪模型
urban flood simulation
terrain construction
digital elevation model
data fusion
urban stormwater model
