长江流域资源与环境 >> 2016, Vol. 25 >> Issue (06): 1002-1008.doi: 10.11870/cjlyzyyhj201606018

• 自然灾害 • 上一篇    

基于GIS淹没模型的城市道路内涝灾害风险区划研究

叶丽梅1, 周月华1, 向华1, 牛奔2,3, 高伟4, 周羽5   

  1. 1. 武汉区域气候中心, 湖北 武汉 430074;
    2. 武汉中心气象台, 湖北 武汉430074;
    3. 湖北省仙桃市气象局, 湖北 仙桃 433000;
    4. 中国地质大学信息工程学院, 湖北 武汉 430074;
    5. 湖北省襄阳市气象局, 湖北 襄阳 441021
  • 收稿日期:2015-09-28 修回日期:2016-01-18 出版日期:2016-06-20
  • 作者简介:叶丽梅(1985~),女,工程师,主要从事气象灾害评估研究.E-mail:ylm_nb@163.com
  • 基金资助:
    国家重点基础研究发展计划(973计划)(2013CB430206);公益性行业(气象)科研专项(GYHY201306056);湖北省气象局科技课题(2015&02)

RISK REGIONALIZATION OF URBAN ROADS WATERLOGGING DISASTERS BASED ON GIS RAINSTORM FLOOD INUNDATION MODEL

YE Li-mei1, ZHOU Yue-hua1, XIANG Hua1, NIU Ben2,3, GAO Wei4, ZHOU Yu5   

  1. 1. Wuhan Regional Climate Centre, Wuhan 430074, China;
    2. Wuhan Central Meteorological Observatory, Wuhan 430074, China;
    3. Xiantao Meteorological Office of Hubei Province, Xiantao 433000, China;
    4. China University of Geosciences Faculty of information engineering, Wuhan 430074, China;
    5. Xiangyang Meteorological Office of Hubei Province, Xiangyang 441021, China
  • Received:2015-09-28 Revised:2016-01-18 Online:2016-06-20
  • Supported by:
    National Key Based Research Program of China(2013CB430206);973 National Science and Technology Program;Public Service Sectors (Meteorology) Research Projects[Scteme and technology Project of Hubei Meteorology Bureau (2015 & 02)

摘要: 在求取襄阳中心城区重现期雨量与可抽排雨量的基础上,采用基于GIS暴雨洪涝淹没模型计算不同重现期致灾雨量的淹没水深和范围;依据城市内涝对道路的实际影响,制作城市道路内涝灾害风险区划图。结果表明,该方法能够直观表达研究区域内不同雨量阈值的内涝灾害淹没风险分布,定量评估淹没水深、淹没范围。同时给出了城市道路内涝灾害风险区划图,结合城市道路信息,准确定位高风险易涝街区,为政府部门决策提供科学依据。

关键词: 淹没模型, 城市内涝, 风险区划

Abstract: Based on acquiring rainfall return period and pumping rainfall of Xiangyang center city, submerged depth and scope of disaster-causing areal rainfall in different return period were obtained by using GIS Rainstorm Flood Inundation Model. Waterlogging flood risk distribution of urban roads was made according to the actual impact of urban waterlogging on the roads. The results indicated that this method could directly show the waterlogging flood risk distribution of different threshold rainfall in different area, quantitatively assessed the submerged depth and scope of flood. Meantime, the method could provide waterlogging flood risk distribution of urban roads, combined with the urban roads information and positioning high-risk waterlogged street, and put forward scientific basis for government.

Key words: rainstorm flood inundation model, urban waterlogging disasters, risk regionalization

中图分类号: 

  • x43
[1] FRENI G, MAGLIONICO M, DI FEDERICO V. State of the art in Urban drainage modeling[R]. CARE-S Report D7, 2003: 9-170.
[2] JANG S, CHO M, YOON J, et al. Using SWMM as a tool for hydrologic impact assessment[J]. Desalination, 2007, 212(1/3): 344-356.
[3] LEE S B, YOON C G, JUNG K W, et al. Comparative evaluation of runoff and water quality using HSPF and SWMM[J]. Water Science and Technology, 2010, 62(6): 1401-1409.
[4] 李 娜, 仇劲卫, 程晓陶, 等. 天津市城区暴雨沥涝仿真模拟系统的研究[J]. 自然灾害学报, 2002, 11(2): 112-118. [LI N, CHOU J W, CHENG X T, et al. Study on simulation system of rainstorm waterlogging in Tianjin City[J]. Journal of Natural Disasters, 2002, 11(2): 112-118.]
[5] 解以扬, 韩素芹, 由立宏, 等. 天津市暴雨内涝灾害风险分析[J]. 气象科学, 2004, 24(3): 342-349. [XIE Y Y, HAN S Q, YOU L H, et al. Risk analysis of urban rainfall waterlogging in Tianjin City[J]. Scientia Meteorologica Sinica, 2004, 24(3): 342-349.]
[6] 贺法法, 陈晓丽, 张雅杰, 等. GIS辅助的内涝灾害风险评价-以豹澥社区为例[J]. 测绘地理信息, 2015, 40(2): 35-39. [HE F F, CHEN X L, ZHANG Y J, et al. GIS-aided risk assessment of waterlogging disasters in Baoxie community[J]. Journal of Geomatics, 2005, 40(2): 35-39.]
[7] 陈明辉, 黄培培, 吴 非, 等. 基于GIS和RS的水力模型构建与多情景分析[J]. 测绘通报, 2014(6): 29-33, 38. [CHEN M H, HUANG P P, WU F, et al. Hydraulic model construction and scenario analysis based on GIS and RS[J]. Bulletin of Surveying and Mapping, 2014(6): 29-33, 38.]
[8] 章国材编著. 暴雨洪涝预报与风险评估[M]. 北京: 气象出版社, 2012: 119-125.
[9] 叶丽梅, 周月华, 李 兰, 等. 通城县一次暴雨洪涝淹没个例的模拟与检验[J]. 气象, 2013, 39(6): 699-703. [YE L M, ZHOU Y H, LI L, et al. Simulation and test of rainstorm and flood inundation in Tongcheng county[J]. Meteorological Monthly, 2013, 39(6): 699-703.]
[10] 史瑞琴, 刘 宁, 李 兰, 等. 暴雨洪涝淹没模型在洪灾损失评估中的应用[J]. 暴雨灾害, 2013, 32(4): 379-384. [SHI R Q, LIU N, LI L, et al. Application of rainstorm and flood inundation model in flood disaster economic loss evaluation[J]. Torrential Rain and Disasters, 2013, 32(4): 379-384.]
[11] 李 兰, 周月华, 叶丽梅, 等. 基于GIS淹没模型的流域暴雨洪涝风险区划方法[J]. 气象, 2013, 39(1): 112-117. [LI L, ZHOU Y H, YE L M, et al. Basin rainstorm flood risk regionalization method based on gis rainstorm flood inundation model[J]. Meteorological Monthly, 2013, 39(1): 112-117.]
[12] 王 芳, 门 慧. 三参数广义帕累托分布的似然矩估计[J]. 数学年刊A辑(中文版), 2013, 34(3): 299-312. [WANG F, MEN H. Likelihood moment estimation for the three-parameter generalized pareto distribution[J]. Chinese Annals of Mathematics, 2013, 34(3): 299-312.]
[13] 欧阳资生, 龚曙明. 广义帕累托分布模型: 风险管理的工具[J]. 财经理论与实践(双月刊), 2005, 26(5): 88-92. [OUYANG Z S, GONG S M. GPD model as a risk management tool[J]. The Theory and Practice of Finance and Economics, 2005, 26(5): 88-92.]
[14] BATES P D, HORRITT M S, FEWTRELL T J. A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling[J]. Journal of Hydrology, 2010, 387(1/2): 33-45.
[15] ZHENG N S, TACHIKAWA Y, TAKARA K. A distributed flood inundation model integrating with rainfall-runoff processes using GIS and remote sensing data[C]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2008, 37(B4): 1513-1518.
[16] 贾界峰, 赵井卫, 陈客贤. 曼宁公式及其误差分析[J]. 山西建筑, 2010, 36(7): 313-314. [JIA J F, ZHAO J W, CHEN K X. Manning's formula and error analysis[J]. Shanxi Architecture, 2010, 36(7): 313-314.]
[17] 苏布达, 施雅风, 姜 彤, 等. 长江荆江分蓄洪区历史演变、前景和风险管理[J]. 自然灾害学报, 2006, 15(5): 19-27. [SU B D, SHI Y F, JIANG T, et al. Historic development perspective and flood risk management of the Jingjiang Flood Diversion District in the Yangtze River Basin[J]. Journal of Natural Disasters, 2006, 15(5): 19-27.]
[18] 江志红, 丁裕国, 朱莲芳, 等. 利用广义帕雷托分布拟合中国东部日极端降水的试验[J]. 高原气象, 2009, 28(3): 573-580. [JIANG Z H, DING Y G, ZHU L F, et al. Extreme precipitation experimentation over Eastern China based on generalized Pareto distribution[J]. Plateau Meteorology, 2009, 28(3): 573-580.]
[19] 程炳岩, 丁裕国, 张金铃, 等. 广义帕雷托分布在重庆暴雨强降水研究中的应用[J]. 高原气象, 2008, 27(5): 1004-1009. [CHENG B Y, DING Y G, ZHANG J L, et al. Application of generalized Pareto distribution to the research of extreme rainfall of Chongqing[J]. Plateau Meteorology, 2008, 27(5): 1004-1009.]
[20] 石 勇. 基于情景模拟的上海中心城区道路的内涝危险性评价[J]. 世界地理研究, 2013, 22(4): 152-158, 175. [SHI Y. The hazard assessment of roads waterlogging disasters in Shanghai based on scenario simulation[J]. World Regional Studies, 2013, 22(4): 152-158, 175.]
[1] 彭国照, 邢开瑜, 曹艳秋. 未来30a凉山州水稻盛夏低温危害风险分析[J]. 长江流域资源与环境, 2016, 25(Z1): 103-110.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 彭长青,冯金飞,卞新民. 基于遗传算法和GIS的县域水田种植制度空间布局优化[J]. 长江流域资源与环境, 2006, 15(1): 66 -70 .
[2] 唐 琦,虞孝感. 长江三角洲地区经济可持续发展问题初探[J]. 长江流域资源与环境, 2006, 15(3): 269 -273 .
[3] 王海云,高太忠,高京,黄群贤. 基于AHPLP法的南水北调中线水资源优化配置[J]. 长江流域资源与环境, 2007, 16(5): 588 .
[4] 张 燕, 张 洪, 彭补拙. 土地资源、环境与经济发展的协调性评价[J]. 长江流域资源与环境, 2008, 17(4): 529 .
[5] 黄锡生,唐绍均. 三峡库区环境安全保护法律实施机制探讨[J]. 长江流域资源与环境, 2004, 13(6): 611 -615 .
[6] 张孝飞,林玉锁,俞 飞,李 波. 城市典型工业区土壤重金属污染状况研究[J]. 长江流域资源与环境, 2005, 14(4): 512 -515 .
[7] 廖富强,刘 影, 叶慕亚,郑 林. 鄱阳湖典型湿地生态环境脆弱性评价及压力分析[J]. 长江流域资源与环境, 2008, 17(1): 133 .
[8] 赵姚阳,濮励杰,胡晓添. BP神经网络在城市建成区面积预测中的应用——以江苏省为例[J]. 长江流域资源与环境, 2006, 15(1): 14 -18 .
[9] 许健民, 吕开宇, 娄博杰. 农业生产对土壤盐渍化影响的经济分析[J]. 长江流域资源与环境, 2009, 18(2): 132 .
[10] 刘 俊 陆玉麒. 经济快速发展地区土地利用结构的时空演变——以苏锡常地区为例[J]. 长江流域资源与环境, 2009, 18(4): 307 .