Highway flood disaster risk evaluation and management in China

Flood disaster has become one of the most damaging natural disasters for the highway transportation all around the world, especially its destructive effects on highway infrastructures. In order to better understand the ruinous influence of flood disaster on highway transportation in China, this paper proposes an alternative evaluation index of highway flood disaster risk from three aspects, namely the disaster-causing factors, disaster-inducing environment, and disaster-bearing subjects. This paper also puts forward some targeted suggestions for the risk management, including two aspects: physical protection measurement and organization and management measurement. Moreover, this paper develops a highway flood disaster risk management system by using the ArcGIS technology.

     

洪水灾害风险管理广义熵智能分析的理论框架

基于洪水灾害风险管理的背景分析,提出用广义分布函数及其广义熵理论统一描述、物理解析洪水灾害风险管理系统的各种不确定性信息。基于洪水灾害风险形成机制和风险管理理论与水利科学、信息科学、智能科学综合集成途径,提出由洪水灾害孕灾环境和致灾因子危险性广义熵智能分析、承灾体易损性广义熵智能分析、承灾体灾情广义熵智能分析和风险决策广义熵智能分析组成的洪水灾害风险管理广义熵智能分析的初步理论框架及其主要研究内容,在其它灾害风险管理中具有一定的参考应用价值。     

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.     

防洪系统风险决策与管理的研究现状分析

从防洪系统风险的基本概念出发，分析了防洪风险的性质，在洪水风险管理、防洪堤、水库大坝以及其他建筑物工程风险、洪水预报调度风险等诸多方面分析了当前的研究情况，对防洪系统的风险管理提出了几点建议。     

The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory

In this paper, we introduce the gray correlation method of risk evaluation in meteorological disaster losses based on historical disaster data in China (mainland) and apply the improved gray relational analysis model (the triangular gray relational model) to the risk evaluation of rainstorm and flood disaster losses. In addition, we divide the risk grade standards of rainstorm and flood disaster losses according to 186 rainstorm and flood disaster data of four optimization indexes (disaster area, suffered population, collapsed houses, and direct economic losses), evaluate the extent of dynamic rainstorm and flood disaster losses in 31 provinces of China (Hong Kong, Macao, and Taiwan exclusive) comprehensively, and draw China’s zoning map of rainstorm and flood disaster from 2004 to 2009. The method provides reasonable and effective references for national disaster preventions which can be used in other researches focused on risk evaluation of meteorological disaster losses.     

Towards an integrated management framework for emerging disaster risks in Japan

An integrated framework for disaster risk management is presented to cope with the risk of low-probability high-consequence (LPHC) disasters in urban communities. Since the 2000 Tokai flood in Japan, there has been a shift in the management strategy from disaster prevention with a presumed zero risk to disaster reduction with an acceptable risk. The framework consists of: (i) integration of a different categories of risk reduction options in terms of structural and nonstructural measures, regulation and market-oriented measures, (ii) strengthening of the capacity of local communities to make their own management choices for LPHC-type disaster risks, and (iii) promoting the participation of stakeholders throughout the entire cycle of risk management. The interdisciplinary framework is discussed with reference to lessons learned from two recent major flood disasters (the 2000 Tokai flood and the 2004 Niigata flood). To implement the goals of the integrated framework, a participatory platform for disaster risk communication called “Pafrics” has been developed. Preliminary results of the pilot study of participation and risk communication supported by Pafrics are presented.     

基于风险度的青海省暴雨洪涝灾害风险评估

基于自然灾害风险原理,结合青海省气象数据、地理信息数据、社会经济数据,并利用主成分分析法、GIS自然断点法对青海省暴雨洪涝灾害致灾因子危险度、承载体易损度评估模型以及暴雨洪涝灾害风险度进行评估,结果表明：青海省不同强度降水日数均呈增多趋势,新世纪以来中雨日数及强降水日数增加趋势尤为明显;暴雨洪涝灾害致灾因子危险度呈由东南向西北降低的趋势,承载体易损度为东北部地区最高,南部以及西部地区最低;暴雨洪涝风险较高的地区主要集中在东部地区,互助、湟中、大通、西宁为高风险区,东部大部地区、环青海湖地区为较高风险区,西部地区为低风险区。该评估结果可以在气象灾害风险管理业务中进行应用,可以加强对暴雨洪涝灾害风险的影响程度及影响区域的判定,为地方防灾减灾救灾工作提供科学依据。     

Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province,China

This study presents the methodology and procedure for risk assessment of flood disasters in central Liaoning Province, which was supported by geographical information systems (GIS) and technology of natural disaster risk assessment. On the basis of the standard formulation of natural disaster risk and flood disaster risk index, of which weights were developed using combined weights of entropy, the relative membership degree functions of variable fuzzy set (VFS) theory were calculated using improved set pair analysis, while level values were calculated using VFSs, including hazard levels, exposure levels, vulnerability levels and restorability levels, and the flood risk level for each assessment unit was obtained using the natural disaster index method. Consequently, integrated flood risk map was carried out by GIS spatial analysis technique. The results show that the southwestern and central parts of the study area possess higher risk, while the northwestern and southeastern parts possess lower risk. The results got by the assessment model fits the area of historical flood data; this study offer new insights and possibility to carry out an efficient way for flood disaster prevention and mitigation. The study also provides scientific reference in flood risk management for local and national governmental agencies.     

甘肃地质灾害风险管理思考

本文从5个方面分析了甘肃省地质灾害风险管控面临的形势,在此基础上提出了重构包括生命至上、天人合一、主动而为、依法防灾等地质灾害风险管理科学理念,提出了地质灾害风险管理应遵循资源整合与系统设计、预防优先与抗救结合、分级防治与风险共担、工程治理与避险并重、政府主导与社会参与、应急处置与长效防范6项原则,提出了今后甘肃地质灾害风险管控应从发挥制度在地质灾害风险管控引领作用、打造积极的防灾减灾文化、推进地质灾害防治全民能力提高、强化地质灾害风险管控科技支撑、构建地质灾害隐患动态风险评估体系、加强空天地一体化专群结合监测预警网络建设、加大地质灾害综合治理力度、扩大避险搬迁覆盖面和实施力度、地质灾害防治纳入国土风险管控体系等8个方面的着力点。     

基于最大熵原理和属性区间识别理论的洪水灾害风险分析

针对复杂洪水灾害系统中随机、模糊、灰色等各种不确定性,结合洪水灾害风险管理广义熵智能分析的理论框架,以最大熵原理和属性区间识别理论为基础,建立了基于最大熵原理的洪水灾害风险属性区间识别模型(AIRM-POME),利用梯形模糊数和层次分析法相结合的方法确定评价指标权重,采用均化系数综合AIRM-POME计算得到的属性测度区间,由置信度准则和特征值公式对各评价单元进行危险、易损等级的评定和排序,并根据联合国对自然灾害风险的定义及其定量表达式给出风险等级。将模型应用到荆江分洪区洪水灾害风险分析中,实例研究表明,模型合理可靠,深层次地刻画了各种不确定性,是一种风险分析新方法,可推广应用到其他自然灾害的风险分析中。     

矿井水害防控远程服务云平台构建与应用

煤矿水害严重制约煤炭资源安全高效开发.针对我国煤矿开采面临的典型顶板、底板和老空水害问题,现阶段矿井水害防治主要开展水害危险性评价、涌水量预测、水害监测预警及水害探查与治理等工作,智能化程度不高.为了解决煤矿企业现场水害防治不同阶段研究与决策的智能化需求,通过将煤矿水害防治与"大数据""数字化矿山""互联网+""云服务...     

Integrated risk assessment method of waterlog disaster in Huaihe River Basin of China

Regional waterlog disaster integrated risk system, affected by natural, social, and economic systems and its combination relationship, is a complex system with certain structure and function. Waterlog disaster integrated risk results from the combined effects of regional environment, impact factors, vulnerability, and disaster-reducing capability of flood hazards in the drainage area. Waterlog disaster integrated risk system can be divided into four subsystems of hazard, vulnerability, disaster-reducing capability, and disaster conditions. Evaluation indexes are selected using fuzzy analytic hierarchy process method, and the evaluation index system is established. Then, the waterlog disaster integrated risk evaluation model is proposed based on set pair analysis method. Taking Huaihe river in Anhui Province of China as the typical area in this study, the results show that the proposed approach is able to obtain the spatial distribution characteristics of waterlog hazard, vulnerability, mitigation capabilities, and integrated disaster risk within the study area. From the quantitative point of view, identification of the areas with high flood risk can provide a scientific basis for the flood management and technical support.     

Integrated risk assessment method of waterlog disaster in Huaihe River Basin of China

Regional waterlog disaster integrated risk system, affected by natural, social, and economic systems and its combination relationship, is a complex system with certain structure and function. Waterlog disaster integrated risk results from the combined effects of regional environment, impact factors, vulnerability, and disaster-reducing capability of flood hazards in the drainage area. Waterlog disaster integrated risk system can be divided into four subsystems of hazard, vulnerability, disaster-reducing capability, and disaster conditions. Evaluation indexes are selected using fuzzy analytic hierarchy process method, and the evaluation index system is established. Then, the waterlog disaster integrated risk evaluation model is proposed based on set pair analysis method. Taking Huaihe river in Anhui Province of China as the typical area in this study, the results show that the proposed approach is able to obtain the spatial distribution characteristics of waterlog hazard, vulnerability, mitigation capabilities, and integrated disaster risk within the study area. From the quantitative point of view, identification of the areas with high flood risk can provide a scientific basis for the flood management and technical support.

     

洪水灾害分析与评估的综合集成方法

从系统论的观点出发,提出了洪水灾害复杂大系统的概念,讨论了该系统的组成特征及其高维性、动态性、复杂性等特征和基于定性与定量的综合集成方法,探讨了洪水灾害系统模拟、预测、评估与决策的综合分析方法。为进一步开展洪水灾害的管理与调控方法的研究奠定了基础,并将有利于促进资源、环境与社会的协调发展。     

Up-scaling of impact dependent loss distributions: a hybrid convolution approach for flood risk in Europe

This paper introduces a new method to up-scale dependent loss distributions from natural hazards to higher spatial levels, explicitly incorporating their dependency structure over the aggregation process. The method is applied for flood risk in Europe. Based on this “hybrid convolution” approach, flood loss distributions for nearly all European countries are calculated and presented. Such risk-based estimates of extreme event losses are useful for determining suitable risk management strategies on various spatial levels for different risk bearers. The method is not only applicable for natural disaster risk but can be extended for other cases as well, i.e., where comonotonic risks have to be “summed up” without loss of risk information.     

Integrated methodology for flood risk assessment and application in urban communities of Pakistan

Flood disasters and its consequent damages are on the rise globally. Pakistan has been experiencing an increase in flood frequency and severity along with resultant damages in the past. In addition to the regular practices of loss and damage estimation, current focus is on risk assessment of hazard-prone communities. Risk measurement is complex as scholars engaged in disaster science and management use different quantitative models with diverse interpretations. This study tries to provide clarity in conceptualizing disaster risk and proposes a risk assessment methodology with constituent components such as hazard, vulnerability (exposure and sensitivity) and coping/adaptive capacity. Three communities from different urban centers in Pakistan have been selected based on high flood frequency and intensity. A primary survey was conducted in selected urban communities to capture data on a number of variables relating to flood hazard, vulnerability and capacity to compute flood risk index. Households were categorized into different risk levels, such as can manage risk, can survive and cope, and cannot cope. It was found that risk levels varied significantly across the households of the three communities. Metropolitan city was found to be highly vulnerable as compared to smaller cities due to weak capacity. Households living in medium town had devised coping mechanisms to manage risk. The proposed methodology is tested and found operational for risk assessment of flood-prone areas and communities irrespective of locations and countries.     

First-Aid Transportation by Hovercraft in a Disaster

Transportation is one of the most important and urgent tasks in a disaster, e.g., earthquake or flood. Trains, trucks and cars are very restricted by destruction of rail and road, bridges and buildings fall down, flood waters and thick mud, landslides, cracks, level differences, severe traffic jam etc. Sunken objects in the water and damages of quays prevent ships from reaching harbors. The situation remains days, weeks and even months.Hovercraft can run on almost every surface: ground, water surface, mud, sands, grits, weeds etc. The performance is very favorable in the first-aid transportation in a disaster.A middle size hovercraft with payload of 2–3 tons is suitable for first-aid work in a disaster. The amount of load is appropriate for loading and unloading by manpower without using a special loading machine. Small loads with frequent return trip are desirable to fulfill needs that are changing from time to time. A system of first-aid transportation by a number of hovercraft of middle size is proposed in this paper as an additional system of transportation to existing ones. The system is very useful for first-aid transportation in a disaster.A simulation of hovercraft transportation was carried out after the Kobe Earthquake in 1995 as an example. We assume that 20 hovercraft of middle size are operated from 6 bases just outside of the disaster area to 12 destinations in the area. The result shows that they can transport up to 1,200 tons goods in a day in addition to those of conventional transportation means without disturbing them.     

风险分析实践的感悟

考虑到我国水资源短缺、水灾害频发和水环境恶化的情势,在水利建设和管理中,突出风险意识是非常必要的和十分及时的。我们多年从事风险分析实践的感悟是：水利风险模拟分析完全不同于建筑结构物的可靠度计算,更不是模拟设计洪水的淹没范围和水深,其真谛是在于如实模拟出当地的水旱灾害的不确定性,是对传统思维模式的重大的突破。有些传统理念也有必要作调整,如：工程水文学科的内涵,可持续发展的不确定性和风险分析的风险。     

Analysis of social vulnerability of residential community to hazards in Tianjin,China

Flood management consists many aspects such as hazard assessment, vulnerability assessment, exposure assessment, risk assessment, early warning system, damage assessment as well as risk mitigation planning. Conventional flood management are depending on the ground based monitoring of rainfall and river discharge. Many parts of the world are not covered by these sensor networks in one hand and these ground based systems are costly. Most of the tropical countries have high flood risk and low financial and institutional capacity to afford ground based system. While conventional flood management is time and cost intensive, spaceborne remote sensing provides timely and low-cost data in comparison to field observation, and is the obvious choice for most developing countries affected by flooding. Many aspects of flood management are being aided with the advancement of remote sensing technology. More precise and near real time flood detection, lead time in flood early warning system, accurate and advance inputs of hydrological models are now blessed by space technology. Many methods and approaches have been developed to overcome the constrains in the application of spaceborne remote sensing in flood management. Application of satellite remote sensing in flood hazard assessment is well documented, however, the application of space technology in other aspects of the flood management is also promising. Therefore, this review paper focuses on the applicability of spaceborne remote sensing and in most of the aspects in flood management.

     

GIS-based flood risk assessment in suburban areas: a case study of the Fangshan District,Beijing

Suburban areas have become rapid development zones during China’s current urbanization. Generally, these areas are also regional precipitation centers that are prone to flood disasters. Therefore, it is important to assess the flood risk in suburban areas. In this study, flood risk was defined as the product of hazard and vulnerability based on disaster risk theory. A risk assessment index system was established, and the analytic hierarchy process method was used to determine the index weight. The Fangshan District in Beijing, China, which is an example of a typical suburban area undergoing rapid urbanization, was selected for this study. Six factors were considered in relation to hazard, and three factors were considered for vulnerability. Each indicator was discretized, standardized, weighted, and then combined to obtain the final flood risk map in a geographical information system environment. The results showed that the high and very high risk zones in the Fangshan District were primarily concentrated on Yingfeng Street, Xingcheng Street, Xincheng Street, and Chengguanzhen Street. The comparison to an actual flood disaster suggested that the method was effective and practical. The method can quantitatively reflect the relative magnitude and spatial distribution patterns of flood risk in a region. The method can be applied easily to most suburban areas in China for land use planning and flood risk management.