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为分析设计暴雨雨型对城市内涝的影响,应用耦合了水文和水动力过程的数值模型,以陕西省西咸新区为研究区域,对不同重现期及峰值比例设计暴雨条件下的内涝过程进行模拟,并对内涝积水总量、不同积水深度内涝面积等量值进行对比分析。结果表明:设计暴雨重现期短于20年时,峰值比例较小的设计暴雨内涝积水总量较大,而重现期长于20年时,规律相反;除2年一遇设计暴雨外,峰值比例较大的设计暴雨致涝总面积较大,但其中影响严重的Ⅳ级致涝面积较小;设计暴雨峰值比例越小,重现期越长,积水总量峰值时刻相对于暴雨峰值时刻的迟滞时间越长。揭示了暴雨雨型与内涝积水程度的量化规律,对更合理地开展城市雨洪管理工作具有指导意义。 相似文献
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提升城市暴雨内涝防治精细化水平是解决城市洪涝问题的关键。采用16种不同时空分辨率的降雨产品,利用暴雨时空异质性评估指标和随机暴雨移置法,在上海地区定量评估降雨数据精度对暴雨事件时空变异性诊断和频率分析的影响。研究发现利用低精度降雨数据得到的年最大暴雨序列发生时间延迟、降水量低估,暴雨过程不均匀性提升、空间不均匀性降低;在不同重现期下,降雨数据精度对频率分析结果影响有显著差异,重现期越大,低精度数据带来的低估程度越大;时间精度的影响占主导地位,可达空间精度的5倍。在城市暴雨洪涝研究中有必要采用更高精度的降雨数据,建议与研究区域类似的小型城市地区在防洪设计中使用精度达(12 h、0.05°)或以上的降雨数据。 相似文献
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极端降水引起的城市内涝问题日益严峻,大量地表积水甚至衍生出部分地下空间的淹没受灾。针对目前水文水动力模型地下空间研究应用不足的现状,以郑州市某片区2021年“7·20”特大暴雨下的内涝过程为例,构建基于InfoWorks ICM的区域地表-地下空间联合模拟模型,对地下空间采用概化蓄水池法和水力连通法2种方式建模,分析局地内涝的成因、发展和影响。结果表明：地下空间内涝对地表积水的削减作用有限;概化蓄水池法简洁易行,水力连通法详细还原地下淹没过程;累积雨量和强降水时段对地下空间洪涝均有重要影响。地表-地下空间洪涝模拟丰富了城市暴雨洪水预警预报的内容,为防灾减灾提供支撑依据和参考。 相似文献
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城市内涝问题进一步突显了城市水文循环研究的重要性。基于地表建筑、地下管道、雨水工程等资料,基于SWMM建立了清华大学校园雨洪模拟模型,根据2015年5月10日和2012年7月21日两场降雨事件的实测资料,进行了清华大学校园水文过程精细模拟,用道路积水深度率定验证模型。模拟结果表明:(1)集水区下垫面透水性强弱不同时,产流过程仍十分相似,最大洪峰发生时间相同;(2)绿化带削减洪量的作用显著,不透水面积越大的地方越容易发生街道积水;(3)道路水深对降雨强度响应敏感,低强度降雨事件中,道路积水表现出0.5~1h的滞后。 相似文献
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为了有效提高城市暴雨洪涝模拟的精度, 针对城区复杂下垫面和雨水井数据缺失情况, 分别提出雨水井节点数据的确定方法和基于空间信息的汇水区分级划分方法。以武汉市青山区为研究区域, 选取2场典型降水过程, 开展SWMM模型的参数率定和验证工作, 并将基于不同方法划分的汇水区模拟结果与实际渍水数据进行对比。结果表明: ①提出的雨水井节点数据确定方法, 在雨水井实测数据缺失的城市洪涝模拟中具有一定的可靠性和适用性。②基于空间信息分级划分法、水文分析结合泰森多边形法和泰森多边形法所划分的汇水区, 模拟的最大积水深度中分别有100%、63%和75%的典型验证点与实际渍水程度相符, 模拟的溢流点中分别有80.0%、76.4%和77.4%的溢流点位置与5年一遇降雨渍水风险图相符。基于空间信息分级划分法所得的汇水区比较符合真实汇水情况, 且模拟结果比其他2种方法更加准确。③ 5年一遇降雨重现期下, 3种方法划分的汇水区所模拟的积水对研究区域影响程度相对较小, 但遇到高于此重现期的暴雨会出现不同程度的内涝。本研究可为城市暴雨洪涝模拟中雨水井节点数据确定与地表空间离散化提供新方法, 模拟结果可为城市防洪减灾提供参考。 相似文献
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基于 SWMM 的张家港市排水防涝风险评估 总被引：1，自引：0，他引：1
在城市内涝频发的背景下,对城市地区的排水防涝风险进行正确评估至关重要。构建了张家港城市排水防涝SWMM模型。根据排水系统与排涝系统的不同需求,推求出适用于城市排水防涝系统的综合设计雨型,将此设计雨型作为上边界输入模型中,绘制了5年一遇、10年一遇和20年一遇的内涝积水深度和积水时间图。运用指标体系法,根据内涝积水深度、积水时间和所在地敏感性定义了排水防涝风险级别,绘制了不同重现期的内涝风险图并分析了易涝原因。结果显示,张家港市大部分地区是内涝产生的低风险区;人员密集的老城市产生涝灾的风险较大;随着暴雨重现期的不断增大,张家港市内受灾范围不断加大,受灾等级也不断提高。为其他城市进行排水防涝风险的评估、完善排水防涝体系提供思路。 相似文献
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目前,中国城区大多缺乏实测管道流量数据,给城市水文模型构建及精细化模拟带来了挑战。在北京亦庄经济开发核心区下垫面精细数字化的基础上,以典型点的最大径流深为验证要素,以实地踏勘为主、经验率定为辅,分别选取2012年"7·21"和2011年"6·23"两场典型大暴雨径流过程,完成了区域SWMM(Storm Water Management Model)模型的参数率定和验证;并就不同重现期设计暴雨下,不同典型用地子汇水区的产汇流响应特征及内涝交通拥堵风险进行了分析及评估。结果表明:随着重现期的增加,道路与交通设施用地对暴雨增幅的响应速率远高于公园绿地的响应速率,前者的内涝交通拥堵风险亦远高于后者;间接反映了不同下垫面条件造成产汇流响应的差异程度。相关成果可为区域城市洪涝管理与预警提供决策参考。 相似文献
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以西咸新区天福和园住宅小区为研究对象,采用暴雨洪水管理模型（Storm Water Management Model,SWMM）构建含低影响开发（LID）措施调控作用的城市雨洪过程数值模型,模拟分析了不同重现期降雨下LID措施和传统开发情况在不同前期条件下的径流控制及峰值削减效果。结果表明:① LID措施自然状态、半饱和与饱和状态在不同重现期降雨下径流控制率分别为64.3%~83.2%、56.3%~76.5%和48.7~68.1%,与自然状态相比,半饱和与饱和情况径流控制率分别减少了6.7%~9.1%和15.1%~15.8%,且皆随重现期增大径流控制率减少值先增大后减小。②径流峰值分别为23.3~189.4 L/s、25.9~198.4 L/s和28.8~290.7 L/s,与自然状态相比,半饱和与饱和状态径流峰值分别增加了4.5%~20.9%和22.9%~53.4%,表明LID措施在饱和状态下的调控效果远不如自然状态。③相较于传统开发,LID条件下自然状态和半饱和状态对径流峰值削减显著,但饱和情况在降雨重现期20年时径流峰值反而升高,表明LID措施饱和状态在大暴雨情况对下游管网造成更大压力。④在相同前期条件下有LID措施对径流控制率有明显提升。 相似文献
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运用渭河流域24个气象站点日降雨数据对2001~2012年热带测雨卫星(TRMM)3B42数据在不同子流域、不同降雨强度以及不同时间尺度的精度进行了对比验证,并对比分析了基于TRMM和站点数据的渭河流域降雨时空分布特征。结果显示:在不同子流域的日TRMM数据比站点观测数据对低值降雨更为敏感,而在极大值降雨数据观测上两者差距较大,月尺度TRMM站点观测数据确定性系数在0.89到0.96之间;两种数据在流域降雨的时空分布上表现一致性,在年内6月中旬~10月初为湿润多雨期,其余月份降雨较少,空间分布呈东南部大,西北部小的格局。 相似文献
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城市内涝的高效模拟对于降低内涝灾害影响、制定防灾减灾措施具有极其重要的意义。本文提出了基于雨篦子耦合地表与管网的城市降雨-产汇流-内涝全过程高效模拟方法, 结合常州市双桥浜城市产汇流与内涝试验基地监测数据, 分别构建了基于高效模拟算法和二维水动力算法的城市内涝模型。根据监测数据对所构建的模型进行了率定与验证, 并分析对比了2种算法在不同降雨事件中的精度与可靠性。结果表明: 太湖流域模型中基于雨篦子的城市水文特征单元高效模拟方法能够较为真实地反映城市内涝的具体特征, 且在模型参数一致的前提下, 其计算效率约为二维水动力算法的780~1 275倍, 能够对城市内涝情况进行快速模拟。 相似文献
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Fatemeh Jalayer Raffaele De Risi Francesco De Paola Maurizio Giugni Gaetano Manfredi Paolo Gasparini Maria Elena Topa Nebyou Yonas Kumelachew Yeshitela Alemu Nebebe Gina Cavan Sarah Lindley Andreas Printz Florian Renner 《Natural Hazards》2014,73(2):975-1001
Identifying urban flooding risk hotspots is one of the first steps in an integrated methodology for urban flood risk assessment and mitigation. This work employs three GIS-based frameworks for identifying urban flooding risk hotspots for residential buildings and urban corridors. This is done by overlaying a map of potentially flood-prone areas [estimated through the topographic wetness index (TWI)], a map of residential areas and urban corridors [extracted from a city-wide assessment of urban morphology types (UMT)], and a geo-spatial census dataset. A maximum likelihood method (MLE) is employed for estimating the threshold used for identifying the flood-prone areas (the TWI threshold) based on the inundation profiles calculated for various return periods within a given spatial window. Furthermore, Bayesian parameter estimation is employed in order to estimate the TWI threshold based on inundation profiles calculated for more than one spatial window. For different statistics of the TWI threshold (e.g. MLE estimate, 16th percentile, 50th percentile), the map of the potentially flood-prone areas is overlaid with the map of urban morphology units, identified as residential and urban corridors, in order to delineate the urban hotspots for both UMT. Moreover, information related to population density is integrated by overlaying geo-spatial census datasets in order to estimate the number of people affected by flooding. Differences in exposure characteristics have been assessed for a range of different residential types. As a demonstration, urban flooding risk hotspots are delineated for different percentiles of the TWI value for the city of Addis Ababa, Ethiopia. 相似文献
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Mohammad Karamouz Ali Razmi Sara Nazif Zahra Zahmatkesh 《Environmental Earth Sciences》2017,76(11):395
Due to increasing flood severities and frequencies, studies on coastal vulnerability assessment are of increasing concern. Evaluation of flood inundation depth and extent is the first issue in flood vulnerability analysis. This study has proposed a practical framework for reliable coastal floodplain delineation considering both inland and coastal flooding. New York City (NYC) has been considered as the case study because of its vulnerability to storm surge-induced hazards. For floodplain delineation, a distributed hydrologic model is used. In the proposed method, the severities of combined inland and coastal floods for different recurrence intervals are determined. Through analyzing past storms in the study region, a referenced (base) configuration of rainfall and storm surge is selected to be used for defining flood scenarios with different return periods. The inundated areas are determined under different flooding scenarios. The inundation maps of 2012 superstorm Sandy in NYC is simulated and compared with the FEMA revised maps which shows a close agreement. This methodology could be of significant value to the planners and engineers working on the preparedness of coastal urban communities against storms by providing a platform for updating inundation maps as new events are observed and new information becomes available. 相似文献
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Huangpu River floodplain is historically vulnerable to flooding due to its location in the path of tropical cyclones, low elevation, relatively flat topography, rapid changes in sea level and fast rate of land subsidence due to urbanization. This paper presents a scenario-based study that investigates the fluvial flood potentials in the Huangpu River floodplain. Flood scenarios with return periods of 50, 100, 200, 500 and 1,000 years were designed to cover the probable situations. Further, a flood inundation model (FloodMap) that tightly couples a river flow model with a 1D solution of the full form of the St. Venant equations and a 2D floodplain flow model was used to predict the river flow and inundation extents. Flood characteristics obtained from the simulations were used in the exposure analysis to determine the spatial distribution of susceptible land uses under different scenarios. Results suggest that overtopping inundation mainly occurs within 1–2 km of the banks of the Huangpu River, with larger inundation extent predicted in the upper and middle reaches of the channel, a result of varying protection levels from relatively rural upstream to high urbanized floodplain in the vicinity of the middle reaches. 相似文献
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Most urban agglomerations located in the Mumbai coastal region in India are vulnerable to flooding due to increasing frequency of the short-duration heavy rainfall, by virtue of their location at foothills on one side and tidal variations on the other side. Steep slopes in the catchment ensure fast runoff and tidal variation adds to backwater effect in the drainage system, which together are favorable for flooding. The present study simulates the flood inundation due to heavy rainfall and high-tide conditions in a coastal urban catchment within Mumbai region with detention pond. Overland flow is modeled using a mass balance approach, which can adapt to hilly slopes and smoothly accommodate detention pond hydraulics. Dynamic wave channel routing based on finite element method captures the backwater effects due to tidal variation, and raster-based flood inundation model enables direct use of digital elevation model. The integrated model is capable of simulating detention pond hydraulics within the raster flood model for heavy rainfall events. The database required for the model is obtained from the geographical information system (GIS) and remote sensing techniques. Application of the integrated model to literature problems and the catchment of the study area for two non-flooding events gave satisfactory results. Further, the model is applied to an extreme rainfall event of July 26, 2005, coinciding with high-tide conditions, which revealed vulnerability of the area to flooding despite of an existing detention pond. A sensitivity analysis on the location of detention pond indicated that catchment response can be better governed by relocating the detention pond to upstream of existing detention pond especially when heavy rainfall events are becoming frequent. 相似文献
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With the projected increase in both tropical cyclone (TC) intensity and proportion of the global population living near the coast, adequate preparation to protect against TC flooding is in the economic interest of coastal cities worldwide. Numerical models that describe TC properties, e.g., storm surge and wind fields, are currently employed to simulate the component of flooding that results from seawater inundation of areas along the coast (i.e., saltwater flooding). However, without the inclusion of freshwater flooding, contributed by inland surface flow and direct precipitation, a total water level (TWL) system for TC flooding lacks a complete picture of the actual coastal flood levels. Working toward a true TWL system, this research investigates the efficacy of the simple and efficient parametric TC rainfall model P-CLIPER (PDF Precipitation-Climatology and Persistence) to provide historically representative TC rainfall to a TWL system. This research demonstrates the success of this novel use of P-CLIPER through calibration and validation to the Tar–Pamlico River and Neuse River coastal watershed in North Carolina. In particular, the comparison of hydrographs at observation stations shows that hydrologic model output forced with P-CLIPER matches that forced with radar-observed precipitation for both timing and peaks, with the proper parameter choices for P-CLIPER. Similarly with proper parameter selection, P-CLIPER captures the peak rate and spatial pattern of observed rainfall for Hurricane Isabel. Due to the model’s simplicity, this work also reveals that P-CLIPER can be used as a parametric rainfall model in ensemble simulations, which could lead toward improved floodplain mapping, emergency management decisions, and stormwater infrastructure planning. 相似文献
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Multi-day rainfall events are an important cause of recent severe flooding in Pakistan, and any change in the magnitude of such events may have severe impact upon urban structures such as dams, urban drainage systems, and flood. This article uses statistical distributions to define extremes of annual rainfall of different cities of Punjab (Lahore, Murree, Sialkot, and Jhelum) with given return periods. Our calculations suggest that general extreme value is the best-fitted distribution for the extreme annual rainfall of different cities of Punjab. Our calculations show that different cities of Punjab have 5 years return period for receiving more than 100 mm daily rainfall. While they have 30 years return period for receiving more than 200 mm daily rainfall. This asks for construction of new dams in Pakistan. 相似文献