城市配电终端暴雨淹没风险评估方法  

Risk Assessment Method of Urban Distribution Terminal Rainstorm Waterlogging

在线阅读下载全文

作  者:李俊杰 李想[1] 李彬[1] 苏盛[1] LI Jun-jie;LI Xiang;LI Bin;SU Sheng(National Key Laboratory of Power Grid Disaster Prevention and Mitigation,Changsha University of Science and Technology,Changsha 410114,China)

机构地区:[1]长沙理工大学电网防灾减灾全国重点实验室,湖南长沙410114

出  处:《水电能源科学》2024年第10期20-23,共4页Water Resources and Power

基  金:国家自然科学基金项目(51777015)。

摘  要:极端降水频率的增加和强度的增大使得城市内涝愈发明显。而随着城市发展,城区配电终端越来越多,现有防涝规范显示出一些不足之处,暴雨淹没导致配电终端受损停运事件增多。基于暴雨强度公式和地理信息数据,应用FloodArea二维水动力模型对长沙市进行极值降雨内涝模拟计算,在淹没模拟的结果上结合配电终端的基础抬高等性质进行淹没风险区划。结果表明,FloodArea模型可较好反映城市降雨淹水过程及积涝空间分布,配电终端淹没风险区域的划分清晰显示了极值降雨下不同地区配电终端的停运风险,可为新建配电终端提供一定的选址依据,在规划层面提高电网稳定性。The increasing frequency and intensity of extreme precipitation make urban waterlogging more and more obvious.With the development of cities,there are more and more distribution terminals in urban areas.The existing waterlogging regulations show some inadequacies,and the rainstorm inundation leads to more damage and outage of distribution terminals.Based on the rainstorm intensity formula and geographic information data,a two-dimensional hydrodynamic model(FloodArea)was applied to simulate extreme rainfall waterlogging in Changsha City.Inundation risk zoning was carried out based on the result of inundation simulation and the properties of the distribution terminal such as foundation elevation.The result show that FloodArea model can well show the waterlogging process and spatial distribution;The classification of distribution terminal inundation risk areas clearly shows the outage risk of distribution terminals in different regions under extreme rainfall,which can provide a certain site selection basis for new distribution terminals as well as improve grid stability at the planning level.

关 键 词:FloodArea 暴雨内涝 淹没模拟 配电终端 风险区划 

分 类 号:TV122.1[水利工程—水文学及水资源] TM73[电气工程—电力系统及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象