Vulnerability assessment for preliminary flood risk mapping and management in coastal areas

Despite continuing technological advancement in hazard and vulnerability assessment, risk modelling and hazard mitigation techniques, losses to disasters associated with natural hazards continue and in some cases are increasing across Europe and worldwide. This paper focuses on the need to bridge the gap between technical solutions and the sociopolitical contexts in which these are produced, to better understand and create more effective risk management regimes. We do so with application of the science–policy co-production frame to landslide risk management in Italy. The methodology deployed included a desk study informed by semi-structured interviews carried out with selected key stakeholders at national, regional and municipal level. We propose a normative and analytical framework for transferring co-production into natural hazard research by presenting a matrix identifying four contexts within which co-production may unfold. The matrix is based on two axes, which distinguish between innovation and its absence in science and policy domains. We examine several examples of co-production, such as the water–soil integrated approach to risk management or the implementation of hazard/risk assessment. The results highlight that the insulation of science from the institutional context within which knowledge is produced and used is a very problematic issue. This often hinders the implementation of desirable policies and undermines the effectiveness of interventions. Moreover, innovation in science and policy does not automatically result in successful solutions for landslide risk management. Finally, results confirm the utility of co-production but also highlight methodological challenges associated with the introduction of this new conceptual paradigm into the well-structured communities of scientists and policy-makers.     

自然灾害脆弱性曲线研究进展

在全球变化与全球化背景下自然灾害风险逐年增大,灾害评估就成为风险防范的重要基础。灾害评估包括灾情估算与风险评估2个方面,而脆弱性分析是把灾害与风险研究紧密联系起来的重要桥梁。脆弱性曲线作为定量精确评估承灾体脆弱性的方法,近年来在多领域被广泛运用,成为灾情估算、风险定量分析以及风险地图编制的关键环节。从致灾因子角度综述脆弱性曲线的研究进展,重点阐述基于灾情数据、已有曲线、调查和模型的脆弱性曲线构建。研究表明脆弱性曲线构建由单曲线向多曲线库、单一参数向综合参数、单一方法向多领域综合应用发展,具有综合化和精细化的趋势。进一步开展多领域、多方法综合脆弱性曲线研究,对灾损快速评估及风险评价,防灾减灾具有重要意义。     

Earthquake risk assessment in NE India using deep learning and geospatial analysis

Earthquake prediction is currently the most crucial task required for the probability, hazard, risk mapping, and mitigation purposes. Earthquake prediction attracts the researchers' attention from both academia and industries. Traditionally, the risk assessment approaches have used various traditional and machine learning models. However, deep learning techniques have been rarely tested for earthquake probability mapping. Therefore, this study develops a convolutional neural network (CNN) model for earthquake probability assessment in NE India. Then conducts vulnerability using analytical hierarchy process (AHP), Venn's intersection theory for hazard, and integrated model for risk mapping. A prediction of classification task was performed in which the model predicts magnitudes more than 4 Mw that considers nine indicators. Prediction classification results and intensity variation were then used for probability and hazard mapping, respectively. Finally, earthquake risk map was produced by multiplying hazard, vulnerability, and coping capacity. The vulnerability was prepared by using six vulnerable factors, and the coping capacity was estimated by using the number of hospitals and associated variables, including budget available for disaster management. The CNN model for a probability distribution is a robust technique that provides good accuracy. Results show that CNN is superior to the other algorithms, which completed the classification prediction task with an accuracy of 0.94, precision of 0.98, recall of 0.85, and F1 score of 0.91. These indicators were used for probability mapping, and the total area of hazard (21,412.94 km²), vulnerability (480.98 km²), and risk (34,586.10 km²) was estimated.     

昆明市东川区泥石流风险性评价研究

昆明市东川区是我国最著名的泥石流分布区。基于社会经济发展的需要,联系泥石流研究的相关理论成果,使用泥石流危险性评价模型,结合GIS软件对昆明市东川区泥石流进行危险性评价,得出了昆明市东川区各乡镇的泥石流危险度。易损性评价是泥石流灾害风险性评价的一部分,根据每个乡镇的经济、人口等指标结合国内有关易损性的理论,建立东川区的泥石流易损性评价模型,从而对东川区以各乡镇为单位进行了易损性评价,得出了各乡镇的易损度。有了易损度和风险度,利用联合国提出的自然灾害风险表达式两项相乘得出了东川区的风险度。最后,使用ARCGIS9.0的制图输出功能,对该区域的泥石流风险性进行了分区和制图,给出了昆明市东川区泥石流风险性评价图,使该地区的泥石流风险性评价有了新的以乡镇为单元的量化指标,更好的服务于当地防灾减灾和经济社会建设。     

Integrated model for earthquake risk assessment using neural network and analytic hierarchy process:Aceh province,Indonesia

Catastrophic natural hazards,such as earthquake,pose serious threats to properties and human lives in urban areas.Therefore,earthquake risk assessment(ERA)is indispensable in disaster management.ERA is an integration of the extent of probability and vulnerability of assets.This study develops an integrated model by using the artificial neural network–analytic hierarchy process(ANN–AHP)model for constructing the ERA map.The aim of the study is to quantify urban population risk that may be caused by impending earthquakes.The model is applied to the city of Banda Aceh in Indonesia,a seismically active zone of Aceh province frequently affected by devastating earthquakes.ANN is used for probability mapping,whereas AHP is used to assess urban vulnerability after the hazard map is created with the aid of earthquake intensity variation thematic layering.The risk map is subsequently created by combining the probability,hazard,and vulnerability maps.Then,the risk levels of various zones are obtained.The validation process reveals that the proposed model can map the earthquake probability based on historical events with an accuracy of 84%.Furthermore,results show that the central and southeastern regions of the city have moderate to very high risk classifications,whereas the other parts of the city fall under low to very low earthquake risk classifications.The findings of this research are useful for government agencies and decision makers,particularly in estimating risk dimensions in urban areas and for the future studies to project the preparedness strategies for Banda Aceh.     

An integrated earthquake vulnerability assessment framework for urban areas

In this paper, an integrated urban earthquake vulnerability assessment framework, which considers vulnerability of urban environment in a holistic manner and performs the vulnerability assessment for the neighborhood scale, is proposed. The main motivation behind this approach is the inability to implement existing vulnerability assessment methodologies for countries like Turkey, where the required data are usually missing or inadequate for the decision-makers in prioritization their limited resources for risk reduction in the administrative units from which they are responsible for. The methodology integrates socio-economical, structural, coastal, ground condition, vulnerabilities (fragilities), as well as accessibility to critical services. The proposed methodology is implemented for Eskisehir, which is one of the metropolitans of Turkey. In the implementation of the proposed framework, geographic information system (GIS) is used. While the overall vulnerabilities obtained for neighborhoods are mapped in GIS, the overall vulnerabilities obtained for buildings are visualized in 3D city model. The main reason behind using different mapping and visualization tools for vulnerabilities is to provide better ways for communicating with decision-makers. The implementation of the proposed vulnerability assessment methodology indicates that an urban area may have different vulnerability patterns in terms of structural, socio-economical, and accessibility to critical services. When such patterns are investigated, effective vulnerability reduction policies can be designed by the decision-makers. The proposed methodology well serves for this purpose.     

地质灾害土地资源易损性评价定量探讨

地质灾害风险评估中对土地资源易损性考虑较少,作为自然资源的主要承灾体,土地资源应和人口和物质财富一样进行定量化研究。在地质灾害评价理论和土地资源价值理论的基础上,探讨了地质灾害风险评估中的土地资源易损性评估的技术方法。易损性的影响因素是灾害强度和土地资源承灾能力,承灾能力的影响因素是土地利用方式、土壤类型等,基于此,建立了数学模型进行易损性计算,核算了土地资源的经济价值、社会价值、生态价值,进行了综合易损性计算和土地资源易损性区划,并在西乡县进行了实例验证。     

区域承灾体脆弱性评价指标体系研究

灾害所造成的后果是由致灾环境的危险性和承灾体的脆弱性决定的。承灾体的脆弱性对区域减灾有着极为重要的作用 ,而承灾体脆弱性指标体系的建立则成为区域脆弱性评价的关键。文章确定了承灾体脆弱性评估指标体系的功能及建立原则 ,在前人研究的基础上 ,综合反推法、信息量法等多种方法确定了基于灾前评判的承灾体脆弱性评估指标体系     

昆明市泥石流风险性评价研究

采用比较成熟的泥石流危险性评价模型,结合ESRI（Environment System Research Institute）公司开发的新一代GIS软件——ARCGIS9．2,对昆明市泥石流进行危险度评价,得出了昆明市各县区的危险度。易损性评价是泥石流灾害风险性评价的一部分,根据国内有关易损性的理论成果,我们建立了昆明市泥石流易损性评价模型,对昆明市以各县区为单位进行了易损性评价,得出了昆明市各县区的易损度。利用联合国给出的自然灾害风险性评价模型：R—H×V,易损度和危险度相乘,得出了昆明市的风险度。使用ARCGIS9．2的自然分级和制图输出功能,对昆明市泥石流风险性进行了分区和制图,给出了昆明市泥石流风险性评价图。结合实际情况综合评判之后发现昆明市各县区呈现出泥石流灾害易损度和危险度不均衡的现象,因此,泥石流灾害发生时,外部社会救援工作就显得特别重要。     

Comparative Risk Assessments for the City of Cologne – Storms, Floods, Earthquakes

In this paper a methodology for a multi-risk assessment of an urban area is introduced and performed for the city of Cologne, Germany, considering the natural hazards windstorm, flooding and earthquake. Moreover, sources of the uncertainty in the analysis and future needs for research are identified. For each peril the following analyses were undertaken: hazard assessment, vulnerability assessment and estimation of losses. To compare the three hazard types on a consistent basis, a common economic assessment of exposed assets was developed. This was used to calculate direct economic losses to buildings and their contents. The perils were compared by risk curves showing the exceedence probability of the estimated losses. In Cologne, most of the losses that occur frequently are due to floods and windstorms. For lower return periods (10–200 years) the risk is dominated by floods. For return periods of more than 200 years the highest damage is caused by earthquakes.     

Drought risk assessment in the western part of Bangladesh

Though drought is a recurrent phenomenon in Bangladesh, very little attention has been so far paid to the mitigation and preparedness of droughts. This article presents a method for spatial assessment of drought risk in Bangladesh. A conceptual framework, which emphasizes the combined role of hazard and vulnerability in defining risk, is used for the study. Standardized precipitation index method in a GIS environment is used to map the spatial extents of drought hazards in different time steps. The key social and physical factors that define drought vulnerability in the context of Bangladesh are identified and corresponding thematic maps in district level are prepared. Composite drought vulnerability map is developed through the integration of those thematic maps. The risk is computed as the product of the hazard and vulnerability. The result shows that droughts pose highest risk to the northern and northwestern districts of Bangladesh.     

A method for na-tech risk assessment as supporting tool for land use planning mitigation strategies

Hazardous industrial sites have always represented a threat for the community often provoking major accidents overcoming the boundaries of the plants and affecting the surrounding urban areas. If the industrial sites are located in natural hazard-prone areas, technological accidents may be triggered by natural events, generating so-called na-tech events which may modify and increase the impact and the overall damage in the areas around them. Nevertheless, natural and technological hazards are still treated as two separate issues, and up to now the methods for na-tech risk assessment have been developed mainly for specific natural hazards, generally restricted to some plant typologies and to the area of the plant itself. Based on a review of the current na-tech literature, this article illustrates a risk assessment method as a supporting tool for land use planning strategies aimed at reducing na-tech risk in urban areas. More specifically, a multi attribute decision-making method, combined with fuzzy techniques, has been developed. The method allows planners to take into account, according to different territorial units, all the individual na-tech risk factors, measured through both quantitative and qualitative parameters, while providing them with a na-tech risk index, useful to rank the territorial units and to single out the priority intervention areas. The method is designed to process information generally available about hazardous plants (safety reports), natural hazards (hazard maps) and features of urban systems mainly influencing their exposure and vulnerability to na-tech events (common statistical territorial data). Furthermore, the method implemented into a GIS framework should easily provide planners with comparable maps to figure out the hazard factors and the main territorial features influencing the exposure and vulnerability of urban systems to na-tech events. The method has been tested on a middle-sized Municipality in the Campania Region, identified as 2nd class seismic zone, according to the Ordinance 3274/2003, in which a LPG storage plant, classified as a plant with major accident potential by the Seveso II Directive (art. 9), is located just within the city core.     

The integration of nautical hazard assessment and harbor GIS models to the Taichung Port area in Taiwan

Human hazards can represent a significant risk to the population and cause huge economic damage in many urbanized regions. In order to be able to identify risk hot spots and implement targeted risk reduction measures, decision makers need to have a clear picture of the risk situation in their countries or regions. This work reviews existing approaches for human hazard and risk assessment, and geographic information system–based statistical tools are employed to analyze the hazard cases which happened within the Taichung Port area from 2000 to 2010. Based on hazard analysis, we establish a seasonal digital map and calculate the center of the distribution of hazard cases and the standard distance and observe the distribution trend. We also identify the hazard cases’ gathering mode by the average nearest neighbor method. Finally, hot spot analysis is proposed to assess the position and features of hot and cold spots, as a reference for coast guard patrols.     

Integrated risk assessment of multi-hazards in China

Maps of population exposure, vulnerability and risk to natural hazards are useful tools for designing and implementing disaster risk mitigation programs in China. The ranking of provinces by relative risk to natural hazards would provide a metric for prioritizing risk management strategies. Using provinces as our study unit, from the perspectives of hazard exposure, susceptibility, coping capacity and adaptive capacity, this study first constructed China’s disaster risk index for five types of major natural hazards: earthquakes, floods, droughts, low temperatures/snow and gale/hail. Then, the relative risk level at the provincial scale in China was assessed. Finally, the hotspots with the highest hazard exposure, vulnerability and risk were identified. The results showed that high exposure was a significant risk driver in China, whereas high vulnerability, especially social vulnerability, amplified the risk levels. Similar to the population exposure to disasters, the relative risk levels in the southwestern, central and northeastern regions of China were significantly higher than those in the eastern, northern and western regions. The high-risk regions or hotspots of multi-hazards were concentrated in southern China (less-developed regions), while the low-risk regions were mainly distributed in the eastern coastal areas (well-developed regions). Furthermore, a nonlinear relationship existed between the disaster risk level and poverty incidence as well as per capita GDP, demonstrating that disaster losses in middle-income areas are likely to increase if economic policies are not modified to account for the rising disaster risk. These findings further indicated that research on disaster risk should focus not only on hazards and exposure but also on the vulnerability to natural disasters. Thus, reducing vulnerability and population exposure to natural hazards would be an effective measure in mitigating the disaster risk at hotspots in China.     

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。     

延安宝塔山景区滑坡地质灾害风险评估

滑坡灾害易损性可分为两大类型:人口易损性和经济易损性。本文依据现场风险填图对宝塔山景区影响居民生命和财产安全的地质灾害进行了风险源的识别,认为宝塔山景区的风险源主要为潜在的滑坡及崩塌灾害,最大风险处人员伤亡总概率为2.6210-2a-1;同时,依据工程地质经验法对风险管理易损性各要素进行了定量评价,认为对宝塔山景区居民来说,100a以内居民平均每年有最大2.62%伤亡的概率存在。根据国际较通用的风险容许标准,认为目前部分宝塔山居民遭受的风险处于不可接受区,建议加强监测。     

基于组件的滑坡点易损性评价地理信息系统--以重庆市万州区吴家湾滑坡为例

文章以重庆万州区为例,开发基于组件的滑坡点易损性评价地理信息系统。组件GIS技术不仅可以如传统的数据库管理系统那样管理数字及文字(属性)信息;可以使用各种空间分析方法,对多种不同的信息进行综合分析,寻找空间实体间的相互关系,而且可以从不同空间与时间的尺度上分析地质灾害的发生与环境因素之间的统计关系,对地质灾害灾情进行评估。本系统由底层数据库、功能模块、用户图形界面3部分组成。底层数据库主要包括图形数据、属性数据等,通过ADO与底层数据库进行接0;各功能模块采用VB MO控件编程实现;用户图形界面利用VB设计。系统应用于重庆万州区吴家湾滑坡易损性点评估,即输入易损性相关的图形,通过系统分析得出易损性评价的结果。     

Property insurance against debris-flow disasters based on risk assessment and the principal–agent theory

Dongchuan City is highly threatened by debris-flow disasters originating from Shengou gully, a typical debris-flow gully along Xiaojiang River in Yunnan Province (Kang et al. 2004). Shengou gully is studied, and a hazard assessment with numerical simulation is developed using ArcGIS 9.2 software. Debris-flow numerical simulation is an important method for predicting debris-flow inundation regions, zoning debris-flow risks, and helping in the design of debris-flow control works. Meanwhile, vulnerability measurement is essential for hazard and risk research. Based on the self-organized map neural network method, we combine the six vulnerability indicators to create an integrated debris-flow vulnerability map that depicts the vulnerability levels of Dongchuan City in Shengou Basin. Based on the risk assessment (including hazard assessment and vulnerability assessment), we adopt the principal–agent theory and use the risk degree of debris flows as an important index to build the insurance model and analyze the insurance premium of debris-flow disasters in Dongchuan City. This paper discusses the model and mechanism of property insurance in debris-flow risk regions and aims to provide technical support for insurance companies to participate in disaster prevention and reduction.