基于MIKE模型的极端降雨情景下流域城市内涝风险评估
Urban Waterlogging Risk Assessment in a Watershed under Extreme Rainfall Scenario Based on MIKE Model
DOI: 10.12677/OJNS.2023.113064, PDF,    国家自然科学基金支持
作者: 刘嫣然, 郑伯雄, 陈丹婷, 刘欣悦, 陈芋恺:旱区地下水文与生态效应教育部重点实验室,陕西 西安;长安大学水利与环境学院,陕西 西安;霍艾迪*:旱区地下水文与生态效应教育部重点实验室,陕西 西安;长安大学水利与环境学院,陕西 西安;西安市流域空间水文模拟监测与预警国际科技合作基地(长安大学),陕西 西安;自然资源部矿山地质灾害成灾机理与防控重点实验室,陕西 西安
关键词: 极端降雨条件流域城市城市内涝灾害防控MIKE模型Extreme Conditions Urban Waterlogging Drainage Basin Cities Disaster Prevention and Control MIKE Model
摘要: 由极端暴雨引起的城市洪涝灾害往往具有突发性强的特点,使得城市洪涝灾害的防控极具挑战性。本文利用MIKE FLOOD洪水模拟软件来构建流域城市雨洪模型,将一维河网模块MIKE 11与二维地表径流模块MIKE 21动态耦合,以降雨历时4 h,重现期为20a、50a、100a一遇的降雨过程为边界条件进行模拟,得到不同降雨条件下研究区的淹没情况。以积水深度为评估指标,划分了内涝风险区域等级(内涝无风险、低风险、中风险、高风险区域)。结果发现:本耦合模型适用于城市内涝风险评估管理,动态耦合模拟效果较好,结果与实际发生及调查情况基本吻合;随着新兴流域城市化不断发展,建筑密度越来越大,下垫面硬化率逐年提高,雨水下渗率逐年降低,排水管网负荷越来越大,旧的排水管网系统很难满足现在多数新兴城市排水需求。本研究旨在为极端气候影响下的城市安全防控方案的制定,建立快速准确的风险防控体系和防洪排涝规划、洪涝预警、抢险救灾等提供决策依据。
Abstract: Urban flood disasters caused by extreme rainstorm are often characterized by sudden intensity, which makes the prevention and control of urban flood disasters extremely challenging. This study uses MIKE FLOOD flood simulation software to construct the urban rainwater model, dynamic coupling the one-dimensional river network module MIKE 11 with the two-dimensional surface runoff module MIKE 21, and uses the MIKE FLOOD model to stimulate the inundation status in Xifeng area separately when it encountered rainfall duration 4 h, the return periods of 20 a, 50 a, 100 a to gain inundation status under different rainfall conditions in the study area. Taking the depth of waterlogging as the evaluation index, the waterlogging risk areas were classified as waterlogging risk-free, low risk, medium risk and high risk areas. The research results show that the dynamic coupling simulation effect is good, the results are basically consistent with the actual occurrence and investigation, and the coupling model is suitable for urban waterlogging risk assessment management; with the continuous development of basin urbaniza-tion, the building density increases, the hardening rate increases, the rainwater infiltration rate decreases, the load of drainage pipe network is increasing year by year, and the old drainage pipe network system is difficult to meet the current urban drainage demands. This study aims to provide decision-making basis for the formulation of urban safety prevention and control programs under the influence of extreme climate, to establish a rapid and accurate risk prevention and control system, flood control and drainage planning, flood warning, and emergency rescue and relief.
文章引用:刘嫣然, 郑伯雄, 陈丹婷, 刘欣悦, 陈芋恺, 霍艾迪. 基于MIKE模型的极端降雨情景下流域城市内涝风险评估[J]. 自然科学, 2023, 11(3): 537-547. https://doi.org/10.12677/OJNS.2023.113064

参考文献

[1] 中国水旱灾害防御公报编写组. 《中国水旱灾害防御公报2020》概要[J]. 中国防汛抗旱, 2021, 31(11): 26-32.
[2] 河南郑州“7•20”特大暴雨灾害调查报告公布[J]. 中国防汛抗旱, 2022, 32(2): 5.
[3] 秦雪, 徐海顺. 城市雨洪管理效益评估研究综述[J]. 水利水电技术(中英文), 2022, 53(4): 10-23.
[4] 胡爱萍, 杨阳, 贾工作, 杜婷, 张建香. 庆阳市西峰区水文地质调查研究[J]. 中国建材科技, 2018, 27(1): 78-80+84.
[5] 张天峰, 姜惠峰, 张红芬, 吴爱敏, 张红妮, 焦美玲, 张雪姣. 庆阳市城市内涝预报预警指标研究[J]. 湖北农业科学, 2020, 59(13): 77-83.
[6] 栾震宇, 金秋, 赵思远, 蒋姣, 卢翔. 基于MIKE FLOOD耦合模型的城市内涝模拟[J]. 水资源保护, 2021, 37(2): 81-88.
[7] 陈彩虹, 刘卉芳, 杨玉生, 赵建民. 基于MIKE FLOOD耦合模型的道路工程内涝分析[J]. 水利规划与设计, 2019(6): 112-116.
[8] Löwe, R., Urich, C., Domingo, N.S., Mark, O., Deletic, A. and Arnbjerg-Nielsen, K. (2017) Assessment of Urban Pluvial Flood Risk and Efficiency of Adaptation Options Through Simulations—A New Generation of Urban Planning Tools. Journal of Hydrology, 550, 355-367. [Google Scholar] [CrossRef
[9] Mignot, E., Li, X. and Dewals, B. (2019) Experimental Modelling of Urban Flooding: A Review. Journal of Hydrology, 568, 334-342. [Google Scholar] [CrossRef
[10] 向素玉, 陈军. 基于GIS城市洪水淹没模拟分析[J]. 地球科学, 1995, 20(5): 575-580.
[11] 刘志生, 李晶, 崔凯, 等. 基于ArcGIS与Infoworks的城市排水系统模拟研究[J]. 中国给水排水, 2013, 29(21): 144-147.
[12] 黄国如, 王欣, 黄维. 基于Infoworks ICM模型的城市暴雨内涝模拟[J]. 水电能源科学, 2017, 35(2): 66-70.
[13] 徐向阳. 平原城市雨洪过程模拟[J]. 水利学报, 1998, 29(8): 34-38.
[14] 冯辉. 基于MIKE的上栗县主城区洪水模拟与风险分析[D]: [硕士学位论文]. 南昌: 南昌大学, 2021.[CrossRef
[15] 张旭. 基于MIKE FLOOD耦合模型的西咸新区沣西新城内涝模拟研究[D]: [硕士学位论文]. 西安: 西安理工大学, 2021.[CrossRef
[16] 霍艾迪, 张骏, 卢玉东, 成玉祥, 姚以亮. 地质灾害易发性评价单元划分方法——以陕西省黄陵县为例[J]. 吉林大学学报(地球科学版), 2011, 41(2): 523-528+535. [Google Scholar] [CrossRef
[17] 霍艾迪, 张广军, 武苏里, 刘志丽. 国内外荒漠化动态监测与评价研究进展与存在问题[J]. 干旱地区农业研究, 2007, 25(2): 206-211.
[18] 李明. 基于MIKE的极端降雨条件下城市洪水模拟研究[D]: [硕士学位论文]. 西安: 西安理工大学, 2015.
[19] 许启慧, 于长文, 张金龙, 杜康云, 杨铭. 基于芝加哥算法的河北省四城市短历时暴雨极值特点分析[J]. 暴雨灾害, 2018, 37(3): 288-292.
[20] 李俊, 吴珊, 赵昕, 尹文超, 张少钦, 李茂林, 李建业. 雨型选择对LID措施效果影响的分析探讨[J]. 给水排水, 2018, 54(5): 21-27.
[21] 戴有学, 王振华, 戴临栋, 曹巧莲, 王通. 芝加哥雨型法在短历时暴雨雨型设计中的应用[J]. 干旱气象, 2017, 35(6): 1061-1069.
[22] 王安琪, 瞿宁玲, 陈元芳, 李琪. 上海市杨浦区设计面暴雨量与设计暴雨雨型研究[J]. 水电能源科学, 2018, 36(8): 1-4.
[23] 叶姗姗, 叶兴成, 王以超, 朱程亮, 刘俊. 基于Copula函数的设计暴雨雨型研究[J]. 水资源与水工程学报, 2018, 29(3): 63-68.
[24] Huo, A., Wang, X., Lyu, Y., Cheng, Y., Zheng, C. and Song, J. (2019) Simulation Research on the Reinjection Temperature Fields of Deep Geothermal Wells Based on Real-Scale Experiment. Energy Exploration & Exploitation, 37, 646-662. [Google Scholar] [CrossRef
[25] Cheng, Y., Huo, A., Zhao, Z. and Peng, J. (2021) Analysis of Loess Fracture on Slope Stability Based on Centrifugal Model Tests. Bulletin of Engineering Geology and the En-vironment, 80, 3647-3657. [Google Scholar] [CrossRef
[26] Huo, A., Peng, J., Cheng, Y., Zheng, X. and Wen, Y. (2019) Temporal Characteristics of the Rainfall Induced Landslides in the Chinese Loess Plateau (China). In: Kallel, A., et al., Eds., Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards. CAJG 2018. Advances in Science, Technology & Innovation, Springer, Cham, 425-427. [Google Scholar] [CrossRef