Risk analysis of rainstorm waterlogging on residences in Shanghai based on scenario simulation

Due to special geographical location and climate, the waterlogging has always been one of the most serious hazards in Shanghai. Residences in the inner city are prone to be damaged by waterlogging hazards. This paper describes the risk analysis of rainstorm waterlogging on residences in Shanghai. First, a rainstorm scenario of 50-year return period was simulated with the rainstorm simulation model from Shanghai Flood Risk Information Center. Each residence was ranked according to its degree of exposure indicated by the inundation depth of that residence, and an exposure analysis model was then built. It is found from the exposure analysis that residences in the sub-districts like Linfen Road, Pengpu Village, Gonghe New Village, Hongqiao Road, Xianxia Road, Xinhua Road, and Zhenru Town are at high-exposure level. Whereas residences in other sub-districts like Gaojing Town, Siping Road, Huaihai Road, Yuyuan, Waitan, Caojiadu, Nanjing East Road, etc. are at low-exposure level. Second, given the characteristics of residences in waterlogging, the vulnerability of residences was expressed as the proportion of old-style residences to total residences. The results show that residences in Yuyuan, Xiaodongmen, Waitan, Nanjing East Road, Laoximen, Zhapu Road, North Station, and Tilanqiao are the most vulnerable ones, while there is no vulnerability in Fenglin Road, Kongjiang Road, Liangcheng New Village, Quyang Road, Siping Road, and Xianxia Road due to the absence of old-style residences. Finally, a model has been built from a systematic perspective and then waterlogging risk analysis was quantified by multiplying the exposure value with vulnerability value of residences. The results reveal that Laoximen, Tilanqiao, Dinghai Road, North Station, Tianping Road, Hongmei Road, Hunan Road, and Xiaodongmen are at high-risk level. The systemic risk model is a simple tool that can be used to assess the relative risk of waterlogging in different regions and the results of risk analysis are applicable to prevention and mitigation of waterlogging for Shanghai Municipal Government.     

Rainstorm waterlogging risk assessment in central urban area of Shanghai based on multiple scenario simulation

With the acceleration of the urbanization process, waterlogging problems in coastal cities are becoming more and more serious due to climate change. However, up until now, the common procedures and programs for rainstorm waterlogging risk assessment in coastal cities still have not formed. Considering a series of impact factors of rainstorm waterlogging in coastal city, the present study established a paradigm for rainstorm waterlogging risk assessment through the combination of hydrological modeling and GIS spatial analysis, and took the residence in central urban area of Shanghai as an example. First, the simplified urban waterlogging model was applied to simulate the depth and extent of rainstorm waterlogging under six hypothetic scenarios. Second, the residence exposed to rainstorm waterlogging was extracted and analyzed supported by spatial analysis module of ArcGIS. Then, stage-damage curves were applied to analyze the loss rate of structure and contents of residential building. Finally, the waterlogging loss maps of residence in different scenarios, the annual average loss, and the risk curve were taken as the expression of waterlogging risk. The results show that the inundated water depth, vulnerability, and losses of residence all increase as the intensity of rainstorm increases. The old-style residence is most vulnerable to rainstorm waterlogging, followed by the new-style residence, and villa is less vulnerable to rainstorm waterlogging. The annual average loss of residence in Shanghai central urban area was about CNY 22.25 million. The results also indicate high risk in Yangpu and Putuo districts, Xuhui, Hongkou, Changning and Zhabei districts come under medium-risk zone, and Jing’an, Luwan and Huangpu districts come under low-risk zone. These results provide important information for the local government, and the methodology can be applied in other cities to provide guidance on waterlogging risk governance.     

Population vulnerability assessment based on scenario simulation of rainstorm-induced waterlogging: a case study of Xuhui District, Shanghai City

Waterlogging is one of the most serious hazards in cities. People are the core of the human social system and the main group affected by disasters. This research introduces a method of scenario simulation which provides a basis for the accurate measurement of exposure to waterlogging. Then based on the concept and structure of vulnerability, representative indicators are selected to develop an indicator system based on objective weights derived from principal components analysis. The method is then used to conduct a population vulnerability assessment in Xuhui District of Shanghai city based on scenario simulation of rainstorm-induced waterlogging over a 50-year period. The final assessment results show that the population vulnerability is greatest for Tianlin Street, Lingyun Street, Changqiao Street, Fenglin Street, and Caohejing Street, while Tianping Street, Xujiahui Street, and Xietulu Street have medium levels of vulnerability. Hongmei Road Street, Healthy Village Street, Longhua Street, and Hunan Road Street have low levels of vulnerability, and Huajing Town is the area with the lowest population vulnerability. The results provide both necessary information and guidance for the government to improve the flood management.     

基于暴雨衰减特性的上海市长历时综合暴雨公式

编制适用于不同历时的综合暴雨公式是协调城市管网排水与区域防洪治涝的重要基础。选用上海市代表雨量站徐家汇站65 a实测雨量资料,建立不同重现期暴雨强度与历时关系,解析暴雨衰减规律,编制单一重现期暴雨公式,结合雨力公式推求适用不同重现期的长历时综合暴雨公式,并推导出暴雨重现期公式。结果表明:不同重现期1~24 h历时暴雨强度均以0.74的衰减指数衰减,据此推求的长历时综合暴雨公式可计算1~24 h任意历时、2~100 a任意重现期的设计暴雨,且平均相对和平均绝对均方根误差分别为1.9%和0.009 mm/min,符合规范要求;暴雨重现期公式可估算1~24 h历时内任意场次暴雨的重现期,高效地服务于城市洪涝防治决策。成果已纳入上海市治涝地方标准,对其他城市具有参考价值。     

基于SWMM-CCHE2D耦合模型的海绵城市内涝管控效果评价

为了解决暴雨导致的城市内涝,为应急管理提供技术支撑,考虑城市暴雨过程及海绵地表特性,结合城市水文学及水力学原理和芝加哥雨型,建立了SWMM-CCHE2D耦合模型。结合高精度地形数据和降雨、径流实时监测数据,采用SWMM雨洪模型模拟暴雨条件下海绵城市的产流,耦合高精度的二维水动力模型CCHE2D模拟相应的内涝情况。结果表明：暴雨条件下通州海绵区的产汇流具有缓慢下渗和汇流的特性,主要海绵措施的加入对径流削减率会有9.0%~40.6%不同程度的提高,从而减缓内涝,其中,对5年一遇暴雨的效果最显著;在100年一遇暴雨下设计的各种海绵措施中,生物滞留带对径流削减率的提高程度最明显,高达28.4%,透水铺装和绿地也具有较好的效果。     

Waterlogging risk assessment based on land use/cover change: a case study in Pudong New Area,Shanghai

Waterlogging induced by torrential rain or typhoon in urban areas due to rapid urban development and land cover changes has been a global hotspot and a potential risk affecting urban habitant lifelines and safety. This paper analyzed the impact of land use/cover change on the surface runoff and evaluated the waterlogging risk caused by precipitation with different intensities in Pudong New Area, Shanghai. A simplified urban waterlogging model has been built for the inundated water depth simulation through the combination of both SCS model and GIS spatial analysis with the consideration of underlying surface characters in urban area. Based on the simulated depth results, waterlogging risk ranks were further established to evaluate waterlogging risk of Pudong New Area under different conditions considering social survey results. The results show that the land use structure and pattern change increases surface runoff depth. Under the assumption of a daily maximum precipitation at 200 mm, the surface runoff depth increased by 13.19 mm from 1994 to 2006 due to urbanization. On the whole, Heqing, Huaxia tourism area, Chuansha, Tangzhen and Jichang Town have high waterlogging risk rank, Gaoqiao, Donggou, urban district, Jinqiao, Caolu, Sanlin and Beicai Town have medium waterlogging risk rank, and Zhangjiang, Gaodong and Huamu Town have low waterlogging risk rank. These results provide important information for the local government, and the method of waterlogging risk assessment can also be applied in other cities to provide guidance on waterlogging risk control.     

基于汇水区分级划分的城市洪涝模拟

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。     

Up-to-date urban rainstorm intensity formulas considering spatial diversity in China

With accelerating urbanization in China, urban waterlogging has had a serious impact on urban sustainable development and citizen welfare. Simple urban rainstorm intensity formulas with a monotonous frequency distribution type cannot meet the practical needs of urban drainage planning and design. This study focuses on the development of urban rainstorm intensity formulas based on spatial diversity in China. Using the annual maximum sampling method, rainstorm data of 607 cities throughout China were collected into a database, with a total of 24,933 rainfall samples (annual observations) under various specified precipitation durations. The database was used to verify that integrating the Pearson III and Gumbel distributions would constitute an optimal theoretical distribution type, owing to its small error and increased fitting precision. Modification and coordination of four important parameters in the rainstorm intensity formula were done using a digital elevation model, which improved the accuracy of the formula. In addition, precipitation distributions in China were treated from the perspective of topographic features to validate the calculations from up-to-date formulas. Accuracy assessment was accomplished using a national code (GB-50014-2006), GIS-based isograms, and authoritative results from the Hydrological Bureau of the Ministry of Water Resources. This work provides a comprehensive foundation for the establishment of an up-to-date rainstorm intensity formula for China, which can be used widely in different cities.     

中国城市洪涝问题及成因分析

随着经济社会的发展,中国步入城镇化快速发展的阶段,城镇化率已由2000年的36.22%增加到2014年的54.77%。在全球气候变化与快速城镇化背景下,中国城市洪涝灾害日益严重。阐述了全球气候变化及城镇化对城市降水和极端暴雨的影响机制,并从流域产汇流角度分析了城镇化对洪水过程的影响,系统剖析了中国城市洪涝频发的主要原因。在成因分析的基础上,进一步提出了中国城市洪涝防治的应对策略,主要包括:①以低影响开发理念为指导,加强城市基础设施建设,建设海绵城市;②建立城市洪涝立体监测、预报预警和实时调度系统,强化城市洪涝科学决策能力;③健全和完善城市洪涝应急预案,强化应急管理能力,完善灾害救助和恢复机制。     

北京市通州区缓变性地质灾害危险性分区评价

以北京市通州区为例,提出了平原区缓变性地质灾害危险性分区评价方法,建立了单灾种地质灾害危险性分区评价指标体系;在对单灾种地质灾害危险性分区评价的基础上,进行了多灾种地质灾害危险性综合分区评价。评价结果可直接用于城市地质灾害防治规划编制工作,为城市防灾减灾和防治工程的实施提供了科学依据。     

Waterlogging and flood hazards vulnerability and risk assessment in Indo Gangetic plain

The recurrent flooding during monsoon and subsequent waterlogging in the northern Bihar plains and the magnitude of losses due to these hazards indicate the continuing vulnerability of the region to flood and waterlogging. Management of floods and waterlogging hazards in highly flood-prone regions of India, including Bihar state has been largely response oriented with little or no attention to mitigation and preparedness. This paper presents a method for spatial, Geographic Information Systems-based assessment of flood and waterlogging vulnerability and risk in northern Bihar plains. Multitemporal satellite data was used to evaluate the area statistics and dynamics of waterlogging over the period from 1975 to 2008. The flood proneness is evaluated at district level with reference to flood inundation during a period from 1998 to 2008. Census data were used to examine the socio-economic characteristics of the region through computation of population density, cultivators, agricultural labourers, sex ratio, children in age group 0–6 years and literates. The geohazard map derived by combining area prone to waterlogging and flood inundation was multiplied with socio-economic vulnerability map to derive the flood-waterlogging risk map of the region. The result shows that flood and water-logging pose highest risk to the central districts in the northern Bihar plains with 50.95% of the total area under high and very high risk.     

郑州西部山区“7·20”山洪地质灾害成因研究

2021年“7·20”极端暴雨引发河南省郑州市西部山区四市(荥阳、巩义、新密、登封)山洪地质灾害造成251人死亡失踪,分布在44个乡镇140个行政村、组或社区,既具有群发性、分散性,也具有相对集聚性。本次山洪地质灾害分散复杂,流域灾害链和区域灾害群共存,山洪灾害链呈现空间关联、时间接续、动力转换和灾情放大的效应。文章总结了山洪地质灾害时空分布特点,分析了山洪地质灾害的形成因素,探讨了索河流域邢门堂垴跨沟路基阻水溃决-王宗店暴洪冲淹-崔庙村海沟寨公路路基堰塞淹没等山洪灾害链的成因,研究了王宗店村南头组滑坡顺层滑移的地质力学模式及其稳定性与力学参数的关系。初步提出当前期过程或日降雨量达到200 mm,未来1 h预报雨量超过40 mm,或3 h预报雨量超过100 mm,可以作为山洪地质灾害预警响应判据,必须启动红色预警响应。研究结果可为郑州市西部山区预防应对山洪地质灾害提供决策支持,也可供类似的山地丘陵区城乡社区防灾减灾与应急响应参考。     

基于二次重现期的城市两级排涝标准衔接的设计暴雨

使用珠海市1984—2015年R_1h-R_6h、R_1h-R_12h、R_1h-R_24h3个历时暴雨组合推算排水排涝两级标准衔接的设计暴雨水平。应用阿基米德极值Copula与Kendall分布函数构建不同历时暴雨组合的联合概率分布模式。分析各历时暴雨组合的遭遇概率、"或"重现期、"且"重现期和二次重现期,以出现最大可能概率的方法推算各组合的设计暴雨值。结果表明:二次重现期所对应的累积频率更准确地代表了特定设计频率情况下不同历时暴雨组合的风险率;重现期分别为2年、3年、5年、10年、20年、50年、100年推算的二次重现期设计值介于"或"重现期和"且"重现期设计值之间,小于相应的边缘分布重现期设计值,R_1h-R_{6 h}组合推算的设计值相对误差为3.1%~7.1%;R_1h-R_12h组合推算的设计值相对误差为3.3%~9.3%;R_{1 h}-R_{24 h}组合推算的设计值相对误差为3.9%~12.0%。二次重现期推算的不同历时暴雨组合的设计暴雨分位值为内涝工程的风险管理和管渠尺寸提供了优选标准和设计参考。     

中国崩塌、滑坡、泥石流灾害危险性评价

地质灾害危险性是地质灾害发育密度、活动规模、活动频次的综合性反映。从这一认识出发,本文论述了地质灾害危险性构成及其评价方法,在此基础上,以县(市、区、旗)和省(直辖市、自治区)为单元,进行了崩塌、滑坡、泥石流灾害危险性评价与区划,分析了危险性分布情况与区域变化规律。      

Social vulnerability assessment of natural hazards on county-scale using high spatial resolution satellite imagery: a case study in the Luogang district of Guangzhou,South China

Social vulnerability assessment of natural hazards aims to identify vulnerable populations and provide decision makers with scientific basis for their disaster prevention and mitigation decisions. A new method based on remote sensing is presented here to establish a model of social vulnerability for county-scale regions that lack of relative data. To calculate population density, which is the most important indicator in social vulnerability assessment, first, a statistical model is established to estimate the population on village level. Then a new concept defined as “population density based on land use” is created to replace the arithmetic population density. The former has taken the dynamic human distribution related to land use into account; thus, it can map the population distribution more realistically. The other two indicators are age structure and distance to hospital. The application of this method to the Luogang District of Guangzhou, South China demonstrated its capability of providing high spatial resolution and reasonable social vulnerability for social vulnerability assessment of natural hazards.     

Damage Evaluation of Agro-meteorological Hazards in the Maize-Growing Region of Songliao Plain,China: Case Study of Lishu County of Jilin Province

Agro-meteorological hazards such as drought, waterlogging and cool summer occur with very high frequency and affect maize production and social-economic development in the maize-growing region of Songliao Plain, China. Moreover, both the frequency of these hazards and loss from them are considered to be increasing with global warming. The purpose of this paper is to quantitatively analyze the relationships between the fluctuation of maize yield and drought, waterlogging and cool summer, and to evaluate the consequences of these hazards in the maize-growing area of Songliao Plain, taking Lishu county as a case study area based on GIS (Geographic Information System). Crop yield-climate analysis and regression analysis were employed to analyze and quantify relationships between the fluctuation of maize yield and drought, waterlogging and cool summer, and to evaluate the consequences of these hazards. The parameters and model of damage evaluation were presented using weighted comprehensive analysis, and the degree of damage of drought, waterlogging and cool summer to maize production was comprehensively evaluated and regionalized. It is shown that from 1949 to 1990, the negative value years of the fluctuation of maize yield due to meteorological hazards accounted for 55% of seasons, of which 14% was caused by drought, 30% by waterlogging, 4% by cool summer and drought, 9% by cool summer and waterlogging, 13% by drought and waterlogging, 30% by drought, waterlogging and cool summer. Studies on the instability and spatial variation of the fluctuations in maize yield in Lishu county showed that the middle plains are stable areas to climatic influence, while southeastern hills and low mountains, the low lands of the plains along the East Liao River and the western plain are unstable areas in terms of areas in maize yield. The synthetic index of the degree of damage to maize of drought, waterlogging and cool summer showed a strong positive correlation with the ratio of the amount damaged to the normal yield of maize. This suggests that this index can be used to evaluate such damage. The degree of damage of drought, waterlogging and cool summer to maize in Lishu county shows the regional characteristics, which increase gradually from the center to the west and east, this being almost identical with the spatial distribution of the fluctuation of maize yield due to these hazards. This study can be expected to provide the basis for developing strategies to mitigate agro-meteorological hazards and reducing the losses from them, and adjust the medium and long-term distribution of agricultural activities so as to adapt to environmental changes.     

基于证据权法的昆明五华区地质灾害易发性评价

地质灾害易发性评价是国土空间规划和区域地质灾害防灾减灾的重要依据。为探索适合云南高原低山丘陵区地质灾害易发性评价方法,论文选择云南省昆明市五华区为典型研究区,选择工程地质岩组、距断裂构造线距离、高程、坡度、坡向、坡面曲率、距公路线距离和土地利用类型等8个因素,应用基于贝叶斯理论的证据权法进行地质灾害易发性评价,通过对各...     

陕西省地质灾害易发性综合评价方法初探

陕西省的地质灾害主要包括滑坡、崩塌、泥石流、地面塌陷、地裂缝及地面沉降。论文在总结陕西省107个县（市）地质灾害调查与区划工作的基础上,建立了陕西省地质灾害易发性综合评价指标体系。针对不同灾种选择了25个评价指标作为其易发性的主要影响因素。使用专家——AHP定权法确定各影响因素的权重,并基于GIS构建了综合评价数学模型——综合指数模型,将各指标因子图层按权重进行代数叠加运算,计算出全省地质灾害易发性综合指数。然后根据综合指数的大小,将陕西省地质灾害易发程度划分为高易发、中易发、低易发和非易发四级区。     

Risk assessment of flood disaster in Shanghai based on spatial–temporal characteristics analysis from 251 to 2000

As one of the top 20 cities exposed to flood disasters, Shanghai is particularly vulnerable because it is exposed to powerful floods and poorly prepared. However, it is unclear to understand the evolution process of floods and the variation of flood risk in Shanghai during the past 1,000 years. This paper analyzed the spatial–temporal characteristics of flood disaster and evaluated the integrated risk of flood disaster in Shanghai based on the historical flood data from 251 to 2000. The results show that flood disaster in Shanghai was divided into storm surge-induced flood, rainstorm-induced flood and overbank flood. Flood disaster in Shanghai presents rising trend with time and mainly occurs in summer and autumn. Moreover, the flood disaster is dominated by rainstorm-induced flood, especially after the establishment of the People’s Republic of China in 1949. Additionally, flood risk in different areas of Shanghai between the years 251–1949 and 1950–2000 changed significantly. Shanghai urban area, Jinshan District and Chongming County belong to increased flood risk area; Baoshan, Jiading, Qingpu, Songjiang, Fengxian, Pudong and Minhang District belong to decreased flood risk area. The integrated risk of flood disaster in Shanghai has presented spatial disparities evidently at present. Shanghai urban area is most likely to suffer flood disaster; Baoshan, Jiading and Minhang District have medium flood risk rank; and Jinshan, Songjiang, Fengxian, Pudong, Qingpu and Chongming County show low flood risk at present. The combined effect of urbanization, sea-level rise, land subsidence and the poor capacity of flood prevention facilities will give rise to the risk of flood in the next several decades. These results provide very important information for the local government to improve flood risk management.     

基于水动力学模型的沿海城市洪水实时演进模拟

为了准确分析洪涝灾害对防洪体系现状的影响，做出相应的防洪减灾措施，以浙江省台州市灵江下游流域为研究区域，构建了基于Saint-Venant方程的水动力学耦合模型，对河道溃决洪水过程进行实时仿真模拟。综合考虑研究区域地形、气象、水文资料、水利工程、下垫面条件等因素，在一维河网模型和二维水动力学模型耦合衔接中，最大程度还原真实地形中河槽内外的水流交互淹没，借助研究区域内典型台风暴雨资料，率定验证本文建立的一维-二维耦合水动力学模型，检验后的模型可实现灵江下游沿岸城市不同量级设计洪水及历史洪水的实时淹没过程模拟。模型计算结果表明，该模型模拟复杂地形条件情况下流域洪水实时演进过程达到了较高精度，在水系沿程典型断面水位计算值与实测值误差不超过0.1 m。