城市洪涝灾害防御中的前沿信息技术应用

doi:10.16265/j.cnki.issn1003-3033.2022.09.2707

中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (9): 137-143.doi: 10.16265/j.cnki.issn1003-3033.2022.09.2707

城市洪涝灾害防御中的前沿信息技术应用

李海辰¹(), 冯文文², 张少恺³, 王超⁴^,^**(), 张鹏⁵, 雷晓辉⁴

1 深圳大学土木与交通工程学院,广东深圳 518061
2 长安大学水利与环境学院,陕西西安710054
3 河北工程大学水利水电学院,河北邯郸 056038
4 中国水利水电科学研究院水资源研究所,北京 100038
5 西北农林科技大学机械与电子工程学院,陕西杨凌 712100

收稿日期:2022-03-19 修回日期:2022-06-09 出版日期:2022-10-19 发布日期:2023-03-28
通讯作者: 王超
作者简介:
李海辰 (1988—),男,山东济南人,博士,主要从事水灾害与水安全、水文水资源方面的研究。E-mail: 374779007@qq.com。
王超高级工程师
雷晓辉正高级工程师
基金资助:
中国工程院咨询研究项目(2019-ZCQ-12); 中国工程院咨询研究项目(2021-XBZD-8)

Review on application of cutting-edge information technology in urban flood prevention system

LI Haichen¹(), FENG Wenwen², ZHANG Shaokai³, WANG Chao⁴^,^**(), ZHANG Peng⁵, LEI Xiaohui⁴

1 College of Civil and Transportation Engineering, Shenzhen University, ShenzhenGuangdong 518061, China
2 College of Water Conservancy and Environment, Chang'an University, Xi'an Shaanxi 710054, China
3 College of Water Conservancy and Hydropower, Hebei University of Engineering, Handan Hebei 056038, China
4 Institute of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
5 College of Mechanical and Electronic Engineering, Northwest Agriculture and Forestry University, Yangling Shaanxi 712100, China

Received:2022-03-19 Revised:2022-06-09 Online:2022-10-19 Published:2023-03-28
Contact: WANG Chao

摘要/Abstract

摘要：

为全面了解我国城市洪涝灾害防御中的前沿信息技术应用现状,促进城市洪涝灾害防御智慧平台建设,加强前沿信息技术应用,提高城市洪涝灾害防御能力,系统梳理城市洪涝灾害防御系统和各种新技术的研究现状与应用情况,指出新技术应用中存在的监测数据不完善、多源数据融合性差、智能化水平不高等问题,展望未来发展趋势,提出加强城市洪涝模拟软件国产化、洪涝防御系统智慧化及重视大数据和物联网在基础数据收集方面的优势等建议。结果表明:前沿信息技术的应用可以显著提高城市洪涝灾害防御能力;需要加强城市洪涝灾害防御系统智慧平台建设;大数据技术和物联网技术是最为关键的基础技术,对于完善城市洪涝灾害监测预警体系具有重要作用;软件产品的国产化是下一步研发的重点工作。

关键词: 城市洪涝灾害, 灾害防御, 前沿信息技术, 预警系统, 智慧平台

Abstract:

In order to comprehensively understand the application status of cutting-edge information technology in urban flood disaster prevention in China, promote the construction of smart platform for urban flood disaster prevention, strengthen the application of cutting-edge information technology, and improve the urban ability of urban flood disaster prevention, this paper systematically reviews the research status and application of urban flood prevention system and various new technologies, points out the problems existing in the application of new technologies, such as imperfect monitoring data, poor multi-source data fusion and low level of intelligence, and look forward to the future development trend, and puts forward suggestions such as strengthing the localization of urban flood simulation software, intelligentizing flood defense system, and paying attention to the advantages of big data and the Internet of Things in basic data collection. The results show that the application of advanced information technology can significantly improve the urban flood disaster prevention ability. It is necessary to strengthen the construction of the smart platform of the urban flood disaster prevention system. Big data technology and Internet of Things technology are the most critical basic technologies, which play an important role in improving the monnitoring and early warning system of urban flood disaster. Localization of software products is the focus of the next research and further development.

Key words: urban flood disaster, disaster prevention, advanced information technology, early warning system, smart platform

李海辰, 冯文文, 张少恺, 王超, 张鹏, 雷晓辉. 城市洪涝灾害防御中的前沿信息技术应用[J]. 中国安全科学学报, 2022, 32(9): 137-143.

LI Haichen, FENG Wenwen, ZHANG Shaokai, WANG Chao, ZHANG Peng, LEI Xiaohui. Review on application of cutting-edge information technology in urban flood prevention system[J]. China Safety Science Journal, 2022, 32(9): 137-143.

图/表 1

参考文献 26

[1]	陈伟珂, 刘国义. 城市内涝灾害防治困境的突破:基于数据治理模式的研究[J]. 灾害学, 2021, 36(1):42-47.
	CHEN Weike, LIU Guoyi. Breakthrough in the prevention and control of urban waterlogging disasters: a study based on data governance model[J]. Journal of Catastrophology, 2021, 36(1):42-47.
[2]	王浩, 梅超, 刘家宏, 等. 我国城市水问题治理现状与展望[J]. 中国水利, 2021(14):4-7.
	WANG Hao, MEI Chao, LIU Jiahong, et al. Current status and prospects of the treatment of urban water-related problems in China[J]. China Water Resources, 2021(14):4-7.
[3]	TILFORD K A, SENE K J, KHATIBI R. Flood forecasting model selection: a structured approach[J]. Advances in Natural and Technological Hazards Research, 2007, 25:401-416.
[4]	国务院灾害调查组. 河南郑州“7·20”特大暴雨灾害调查报告[R]. 中华人民共和国应急管理部, 2022.1.
[5]	徐宗学, 叶陈雷. 城市暴雨洪涝模拟:原理、模型与展望[J]. 水利学报, 2021, 52(4):381-392.
	XU Zongxue, YE Chenlei. Simulation of urban flooding/waterlogging processes:principle,models and prospects[J]. Journal of Hydraulic Engineering, 2021, 52(4):381-392.
[6]	JAFARI F, MOUSAVI S J, YAZDI J, et al. Long-term versus real-time optimal operation for gate regulation during flood in urban drainage systems[J]. Urban Water Journal, 2018, 15(7/8):750-759. doi: 10.1080/1573062X.2018.1556307
[7]	陈文龙, 徐宗学, 宋利祥, 等. 基于流域系统整体观的城市洪涝治理研究[J]. 水利学报, 2021, 52(6):659-672.
	CHEN Wenlong, XU Zongxue, SONG Lixiang, et al. Research on the control measures of pluvial and fluvial urban floods based on holistic view of watershed system[J]. Journal of Hydraulic Engineering, 2021, 52(6):659-672.
[8]	刘媛媛, 刘业森, 郑敬伟, 等. BP神经网络和数值模型相结合的城市内涝预测方法研究[J]. 水利学报, 2022, 53(3): 284-295.
	LIU Yuanyuan, LIU Yesen, ZHENG Jingwei, et al. Intelligent rapid prediction method of urban flooding based on BP neural network and numerical simulation model[J]. Journal of Hydraulic Engineering, 2022, 53(3): 284-295.
[9]	连彬, 魏忠诚, 赵继军. 智慧水利关键技术与应用研究综述[J]. 水利信息化, 2021(5):6-18,31.
	LIAN Bin, WEI Zhongcheng, ZHAO Jijun. Review on key technologies and applications of smart water conservancy[J]. Water Resources Informatization, 2021(5):6-18,31.
[10]	徐慧珺. 基于SWMM模型的城市雨洪模拟建模方法研究[J]. 水利规划与设计, 2021, 58(9):44-49,97.
[11]	殷勇, 黄敏, 龙斌. 浅谈萍乡市城市水文洪涝淹没预警系统[J]. 陕西水利, 2019(1):51-52.
[12]	郑晓阳, 胡传廉. 上海市防汛决策支持系统设计[J]. 水利水电科技进展, 2003, 23(1):25-27.
[13]	韩刚, 王常效, 刘业森, 等. 深圳市洪涝预警调度系统建设方案及实现[J]. 中国防汛抗旱, 2020, 30(11):14-19,42.
	HAN Gang, WANG Changxiao, LIU Yesen, et al. Construction plan and implemention of flood early warning and dispatching system in Shenzhen city[J]. China Flood & Drought Management, 2020, 30(11):14-19,42.
[14]	蒋云钟, 冶运涛, 赵红莉, 等. 水利大数据研究现状与展望[J]. 水力发电学报, 2020, 39(10):1-32.
	JIANG Yunzhong, YE Yuntao, ZHAO Hongli, et al. Research status and prospects on water conservancy big data[J]. Journal of Hydroelectric Engineering, 2020, 39(10):1-32.
[15]	孙世友, 鱼京善, 杨红粉, 等. 基于智慧大脑的水利现代化体系研究[J]. 中国水利, 2020(19):52-55.
	SUN Shiyou, YU Jingshan, YANG Hongfen, et al. Research on water conservancy modernization system based on intelligent brain[J]. China Water Resources, 2020(19):52-55.
[16]	张波, 陈武奋, 江显群. 智慧灌区建设中的关键技术应用[J]. 水利建设与管理, 2020, 40(9):72-76.
	ZHANG Bo, CHEN Wufen, JIANG Xianqun. Application of key technology in the construction of intelligent irrigation area[J]. Water Conservancy Construction and Managment, 2020, 40(9):72-76.
[17]	李建州. 数据处理技术的应用与排水防涝规划的革新[J]. 人民珠江, 2017, 38(2): 96-98.
	LI Jianzhou. Application of data processing technology and innovation of stormwater drainage and flood control planning[J]. Pearl River, 2017, 38(2): 96-98.
[18]	石娟, 郑鹏, 常丁懿. 大数据环境下的城市公共安全治理:区块链技术赋能[J]. 中国安全科学学报, 2021, 31(2): 24-32. doi: 10.16265/j.cnki.issn 1003-3033.2021.02.004
	SHI Juan, ZHENG Peng, CHANG Dingyi. Governance of urban public safety in context of big data: block chain technology enablement[J]. China Safety Science Journal, 2021, 31(2): 24-32. doi: 10.16265/j.cnki.issn 1003-3033.2021.02.004
[19]	周力峰, 刘文, 张治中. 云计算在水利科研信息化中的地位与作用[J]. 长江科学院院报, 2014, 31(9):110-114.
	ZHOU Lifeng, LIU Wen, ZHANG Zhizhong. Role of Cloud computing in informatization of water-conservancy scientific research[J]. Journal of Yangtze River Scientific Research Institute, 2014, 31(9):110-114.
[20]	WAN Zhanming, HONG Yang, KHAN S, et al. A cloud-based global flood disaster community cyber-infrastructure: development and demonstration[J]. Environmental Modelling & Software, 2014, 58:86-94.
[21]	ARANGO I M, IZQUIERDO J S, CAMPBELL E, et al. Cloud-based decision making in water distribution systems[J]. Procedia Engineering, 2014, 89:488-494. doi: 10.1016/j.proeng.2014.11.241
[22]	翟航, 陈思宁, 李长跃, 等. 水文信息化平台构建[J]. 东北水利水电, 2020, 38(9):63-65,72.
	ZHAI Hang, CHEN Sining, LI Changyue, et al. Construction of hydrological information platform[J]. Water Resources & Hydropower of Northeast China, 2020, 38(9):63-65,72.
[23]	王新庆. 基于GIS的城市道路积水可视化关键问题研究[D]. 北京: 北京工业大学, 2009.
	WANG Xinqing. Study on key issues of urban road waterlogging visualization based on GIS[D]. Beijing: Beijing University of Technology, 2009.
[24]	苏本谦, 于德湖, 孙宝娣, 等. 水利工程信息化与BIM+GIS融合应用的研究进展[J]. 青岛理工大学学报, 2020, 41(5): 126-132.
	SU Benqian, YU Dehu, SUN Baodi, et al. Research progress of fusion application of hydraulic engineering informatization and BIM+GIS[J]. Journal of Qingdao University of Technology, 2020, 41(5): 126-132.
[25]	LIU Shaoli, JIN Peng, LIU Jianhua, et al. Accurate measurement method for tube's endpoints based on machine vision[J]. Chinese Journal of Mechanical Engineering:English Edition, 2017, 30(1):152-163.
[26]	华珊, 宋晓乔, 杨小妮. 智能控制综述[J]. 数字通信世界, 2019(3):144,161.

城市洪涝灾害防御中的前沿信息技术应用

Review on application of cutting-edge information technology in urban flood prevention system

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 1

参考文献 26

相关文章 15

编辑推荐

Metrics

本文评价

[1]	隆能增, 袁梅, 王关亮, 王清辉, 许石青, 李鑫灵. 煤与瓦斯突出微震-瓦斯互动响应预警研究[J]. 中国安全科学学报, 2021, 31(4): 125-132.
[2]	贾宝峰, 阎美好. 铁路快运货物安全预警系统研究[J]. 中国安全科学学报, 2020, 30(S1): 121-127.
[3]	李梦琦, 张敬磊. 考虑愤怒情绪的驾驶员换道行为博弈分析[J]. 中国安全科学学报, 2020, 30(2): 165-170.
[4]	李稳, 顾苏, 毛盾, 潘俊文, 汪志刚, 梅文建. 基于人体体征的作业人员安全预警系统[J]. 中国安全科学学报, 2019, 29(9): 167-172.
[5]	李京生, 赵林, 王阳, 孟亮. CRES的危害因素识别方法:以EETD为例[J]. 中国安全科学学报, 2019, 29(1): 106-111.
[6]	孔博, 赵刚. 机车乘务员职业健康预警系统研究^*[J]. 中国安全科学学报, 2018, 28(S2): 176-179.
[7]	黄磊，苗放，王梦雪. 区域尾矿库安全监测预警系统设计与构建[J]. 中国安全科学学报, 2013, 23(12): 146-.
[8]	陈清光，段伟利，陈国华. 基于免疫机理的化工园区安全生产预警机制设计[J]. 中国安全科学学报, 2011, 21(9): 159-.
[9]	邓红卫，崔秀敬，高峰，李杰林. 残矿回采地压安全预警系统的构建方法与应用研究[J]. 中国安全科学学报, 2010, 20(10): 129-.
[10]	尹贻林，林广利，付聪，陈伟珂. 基于GIS天津市燃气管网预警系统的构建研究[J]. 中国安全科学学报, 2009, 19(6): 104-.
[11]	马士伟，梅志荣，张军伟. 长大隧道突发性地质灾害预警信息系统研究[J]. 中国安全科学学报, 2009, 19(5): 103-.
[12]	辛晶，夏登友，康青春，贾定夺. BP神经网络技术在交通工具火灾预警中的应用[J]. 中国安全科学学报, 2006, 16(11): 29-.
[13]	徐文芹，赵艳萍，欧阳玉秀. 新形势下我国金融安全预警及安全策略[J]. 中国安全科学学报, 2004, 14(9): 34-.
[14]	武旭，胡思继，崔艳萍. 铁路运输经济预警系统的研究[J]. 中国安全科学学报, 2004, 14(10): 33-.
[15]	刘建军，杨浩，魏玉光. 长江航行安全问题的研究[J]. 中国安全科学学报, 2003, 13(4): 29-.