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1.
J. Zeng Z. Y. Zhu J. L. Zhang T. P. Ouyang S. F. Qiu Y. Zou T. Zeng 《Environmental Earth Sciences》2012,65(1):173-182
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. 相似文献
2.
为了科学评价城市地震灾害状况,降低城市易损性,基于压力-状态-响应模型框架,构建城市地震综合易损性评价指标体系,其中压力类、状态类、响应类指标分别为7、13、8项。应用熵权法确定了各评价指标的权重,提出基于云模型的城市综合易损性评价模型,并运用雷达图分析法实现城市内各个区综合易损性的相对高低。应用上述方法,对兰州市中心城区进行了震害综合易损性评价,结果表明:兰州市综合易损性等级偏向Ⅲ级,易损性中等,其中红古、安宁区的易损性程度较高,城关、七里河易损性程度较低;经济因素对各区域的易损性影响较大,通过对易损区域加强管理建设,提高城市的防震减灾能力。 相似文献
3.
Integrated risk assessment of multi-hazards in China 总被引：1，自引：0，他引：1
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. 相似文献
4.
A methodology to estimate seismic vulnerability of health facilities. Case study: Mexico City,Mexico
We developed a model to estimate seismic vulnerability of health facilities in Mexico City, Mexico, following these steps: (1) designing a theoretical framework (TF) to measure structural, non-structural, functional, and administrative-organizational vulnerabilities; (2) measurement of the vulnerability conditions of the analyzed facility by using the TF; and (3) estimation of the hospital’s seismic vulnerability by comparing the measured vulnerability to the TF’s vulnerability indicators by taking into account the optimal case. The TF was developed considering a scoring system and international standards for risk management in hospitals. The methodology establishes the degree of vulnerability of the analyzed institution as well as its interrelations with external infrastructure systems. This tool also identifies existing failures to estimate expected damage. The methodology was applied to the National Cardiology Hospital, the Children’s Hospital “Dr. Federico Gómez,” and the “Hospital de Jesus” of Mexico City. The vulnerability problems in these three hospitals are common within them, and some of the main causes of vulnerability found are: (1) the lack of technology to resistant seismic shaking; (2) the need to develop or update disaster response plans; (3) the need of periodic and proper maintenance to hospitals’ buildings; (4) the lack of sufficient financial resources for vulnerability reduction projects and autonomous operations of the hospital during 3–5 days after a disaster occurs. We believe that vulnerability in these health facilities can be reduced with low-cost procedures and that the methodology developed here will support the decision-making processes to reduce seismic risk in Mexico City. 相似文献
5.
The tourism disaster vulnerability framework: an application to tourism in small island destinations 总被引：2，自引：0，他引：2
Islands are known to be vulnerable to natural hazards, resulting in substantial risks for their tourism industries. To facilitate the systematic analysis of the underlying vulnerability drivers, a tourism disaster vulnerability framework was developed. The conceptual model then guided qualitative empirical research in three regions: the Caribbean, the South Pacific, and the Indian Ocean. The results from 73 interviews highlight common, as well as idiosyncratic, factors that shape the islands’ hazardscapes and vulnerabilities. Key vulnerabilities included social, economic, political, and environmental dimensions. Probably, the most critical vulnerability driver is the lack of private sector investment in disaster risk reduction. This is interrelated with deficient planning processes, on-going demand for coastal products, lack of political will, and poor environmental conditions. Notwithstanding many barriers, some businesses and organisations engage proactively in addressing disaster risk. The paper’s empirical evidence supports the validity of the framework, and suggestions for further research are made. 相似文献
6.
Physical and societal vulnerability to earthquakes and expected physical, social, economic, and industrial losses in Istanbul
are outlined. This risk quantification has served as the basis for the Earthquake Masterplan. Risk-mitigation activity that
was, and is, being conducted by several agencies and in different context and sectors are elaborated. 相似文献
7.
Assessment of social vulnerability has been recognized as a critical step to understand natural hazard risks and to enhance effective response capabilities. Although significant achievements have been made in social vulnerability researches, little is know about the comprehensive profile of regional social vulnerability in China. In this study, the social vulnerability to natural hazards was firstly divided into socioeconomic and built environmental vulnerability. Then, using factor analysis, we identified the dominant factors that influence the provincial social vulnerability in China to natural hazards based on the socioeconomic and built environmental variables in 2000 and 2010 and explored the spatial patterns of social vulnerability. The results indicated that the provincial social vulnerability in China showed significant regional differences. The social vulnerability in the southeastern and eastern regions of China was greater than its northern and central parts over the past decade. Economic status, rural (proportion of agricultural population and percentage of workers employed in primary industries), urbanization, and age structure (children) were the dominant driving forces of variations in provincial socioeconomic vulnerability in two studied years, while lifelines and housing age could explain most of changes in built environmental vulnerability in 2000 and 2010. There were no statistically significant correlations between social vulnerability and disaster losses (p > 0.05), indicating the impact of disasters was also related to the intensity of hazards and exposure. Disaster relief funds allocated to each province of China depended more on its disaster severity than the regional integrated social vulnerability over the past decade. These findings would provide a scientific base for the policy making and implementation of disaster prevention and mitigation in China. 相似文献
8.
Assessment on agricultural drought vulnerability in the Yellow River basin based on a fuzzy clustering iterative model 总被引：3，自引：2，他引：1
Di Wu Deng-Hua Yan Gui-Yu Yang Xiao-Gang Wang Wei-Hua Xiao Hai-Tao Zhang 《Natural Hazards》2013,67(2):919-936
Drought is one of the major natural disasters occurring in China and causes severe impacts on agricultural production and food security. Therefore, agricultural drought vulnerability assessment has an important significance for reducing regional agricultural drought losses and drought disaster risks. In view of agricultural drought vulnerability assessment with the characteristics of multiple factors and uncertainty, we applied the fuzzy comprehensive evaluation framework to agricultural drought vulnerability model. The agricultural drought vulnerability assessment model was constructed based on the multi-layer and multi-index fuzzy clustering iterative method, which can better reveal the drought vulnerability (including sensitivity and adaptation capacity). Furthermore, the cycle iterative algorithm was used to obtain the optimal index weight vector of a given accuracy by setting the objective function. It provides a new approach to weight determination of agricultural drought vulnerability assessment. In this study, agricultural drought vulnerability of 65 cities (as well as leagues and states) in the Yellow River basin was investigated using a fuzzy clustering iterative model and visualized by using GIS technique. The results showed clear differences and regularities among the spatial distribution of agricultural drought vulnerability of different regions. A large number of the regions in the basin consisted of those exhibiting high to very high vulnerability and were mainly distributed throughout Qinghai, Gansu, northern Shaanxi, and southern Shanxi, accounting for 46 % of the total assessment units. However, the regions exhibiting very high vulnerability were not significantly affected by droughts. Most of the regions exhibiting moderate vulnerability (21.5 % of the assessment units) were mainly concentrated among agricultural irrigation areas, where agriculture is highly sensitive to droughts, and drought occurrence in these regions will likely cause heavy losses in the future. The regions exhibiting slight to low vulnerability were relatively concentrated, accounting for 32.3 % of the assessment units, and were mainly distributed in the plains of the lower reaches of the Yellow River, where the economy was rather well developed and the agricultural production conditions were relatively stronger. 相似文献
9.
Vulnerability, hazards and multiple risk assessment for Georgia 总被引：2，自引：1，他引：1
Otar Varazanashvili Nino Tsereteli Avtandil Amiranashvili Emil Tsereteli Elizbar Elizbarashvili Jemal Dolidze Lado Qaldani Manana Saluqvadze Shota Adamia Nika Arevadze Aleksandre Gventcadze 《Natural Hazards》2012,64(3):2021-2056
10.
Since ancient times, floods occurred frequently in Huaihe River with significant casualties and economic losses. In developing measures for disaster prevention or emergency response for disaster relief, the study of social vulnerability to floods in Huaihe River Basin should be strengthened. Based on the latest socioeconomic data, the index system of social vulnerability to floods was constructed from three dimensions: population, economy, and flood prevention. Sensitive indexes were identified from the original indexes by principal component analysis, and the social vulnerability index for floods was calculated for Huaihe River Basin. The results described the characteristics of the spatial distribution. It also demonstrated that vulnerability manifests itself as a regional phenomenon, with significant changes from city to city across the Huaihe River Basin. Understanding the impacts of changes in vulnerability was crucial in developing measures to prevent floods. 相似文献
11.
Detailed estimates of economy-wide disaster losses provide important inputs for disaster risk management. The most common models used to estimate losses are input–output (IO) and computable general equilibrium (CGE) models. A key strength of these models is their ability to capture the ripple effects, whereby the impacts of a disaster are transmitted to regions and sectors that are not directly affected by the event. One important transmission channel is household migration. Changes in the spatial distribution of people are likely to have substantial impacts on local labour and housing markets. In this paper, we argue that IO and CGE models suffer from limitations in representing household migration under disaster risk. We suggest combining IO and CGE models with agent-based models to improve the representation of migration in disaster impact analysis. 相似文献
12.
冰冻圈变化的适应框架与战略体系 总被引：2，自引：1，他引：1
冰冻圈变化的适应研究是冰冻圈科学领域的新兴研究方向, 是当今全球变化研究中自然科学与社会科学交叉融合研究的典型代表。文章阐述了冰冻圈变化适应研究的内容框架, 分析了目前国际冰冻圈变化适应研究的现状、 动态与发展趋势。在此基础上, 从理论探索与实践研究两方面, 详细介绍了中国冰冻圈变化的适应研究。在理论与方法研究方面, 中国冰冻圈变化适应研究2007年起步至今, 已建立了由冰冻圈变化影响（冰冻圈服务和冰冻圈灾害）-风险-恢复力-适应构成的中国冰冻圈变化适应研究理论与方法体系; 在实践研究方面, 从致利与致害两条线, 开展了冰冻圈服务与冰冻圈灾害风险研究; 从冰冻圈与人类圈交互视角, 开展了冰冻圈变化的脆弱性、 恢复力与适应典型案例研究。未来, 一方面需进一步完善和深化现有理论体系, 尤其是冰冻圈与人类圈相耦合的灾害风险、 脆弱性与适应定量评估方法; 另一方面, 既要针对不同冰冻圈问题, 加强案例研究, 又要拓展尺度, 深入宏观研究, 为国家和地方政府决策提供科学依据与对策建议。 相似文献
13.
H. S. B. Duzgun M. S. Yucemen H. S. Kalaycioglu K. Celik S. Kemec K. Ertugay A. Deniz 《Natural Hazards》2011,59(2):917-947
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. 相似文献
14.
This study proposes a probabilistic methodology for estimating the business interruption loss of industrial sectors as an extension of current methodology. The functional forms and parameters are selected and calibrated based on survey data obtained from businesses located in the inundated area at the time of the 2000 Tokai Heavy Rain in Japan. The Tokai Heavy Rain was a rare event that hit a densely populated and industrialized area. In the estimation of business interruption losses, functional fragility curves and accelerated failure time models are selected to estimate the extent of damage to production capacity and production recovery time. Significant explanatory variables, such as inundation depth, distinct vulnerability, and the resilience characteristics of each sector, as well as the accuracy of fit of the model, are analyzed in the study. The function obtained and the estimated parameters can be utilized as benchmarks in estimating the probabilistic distribution of business interruption losses, especially in the case of urban flood disasters.
相似文献15.
隧道工程遭受泥石流灾害的工程易损性评价 总被引：7，自引：1，他引：6
以往泥石流易损性评价主要针对经济、社会、物质和环境的易损程度,未见关于工程基础设施易损程度评价。为此,以枝柳铁路卓福隧道遭受泥石流灾害为工程背景,提出了工程易损性的概念,根据隧道承灾特点和泥石流致灾特征,系统分析了隧道的地质选址、工程设计、隧道施工、运营维护以及泥石流致灾因子对隧道工程易损程度的影响,确定了工程易损性评价指标体系,借助于AHP法和模糊综合评价法,建立工程易损性的评估方法。并以实例验证该方法可行性,为泥石流地区隧道工程防治等级确定和隧道承灾能力评估提供方法参考。 相似文献
16.
Naomi W. Lazarus 《GeoJournal》2014,79(5):635-648
The discussion on the social-ecological dimensions of hazards is constantly evolving. This paper explores the trajectory of research relating to hazards and their impact on vulnerable human populations. Interpretations of disaster risk have included estimating losses in terms of human life and property, and analyzing the social mechanisms in place that exacerbate or mitigate a population’s sensitivity to hazard events. In keeping with recent trends in research relating to disaster risk, the paper focuses on the social dimension of vulnerability and the contribution of social structures and relationships in building community resilience. Institutional frameworks and policies in particular determine the quantity and quality of resources and services available to people that contribute to resilience over time. The hazard-risk-location-model (HRLM) is proposed that is based on re-specifying disaster risk in terms of exposure and coping ability to capture the focus on social vulnerability and resilience. The framework of the HRLM incorporates the following components: (1) linkages within existing social capital; (2) spatial variation in social and institutional frameworks; (3) positive and negative feedbacks; and (4) characteristics of the hazard event. The model contributes to the range of place-based assessments designed to address the human-environmental impacts of hazards and disasters. 相似文献
17.
D. K. Yoon 《Natural Hazards》2012,63(2):823-843
The purpose of this study is to examine and compare the methodologies being developed in assessing social vulnerability to natural disasters. Existing vulnerability literature shows that two methods have been used in developing social vulnerability indexes: (1) a deductive approach based on a theoretical understanding of relationships and (2) an inductive approach based on statistical relationships (Adger et al. in New indicators of vulnerability and adaptive capacity. Tyndall Centre for Climate Change Research, Norwich, 2004). Two techniques were also utilized in aggregating social vulnerability indicators: (1) a deductive approach using standardization techniques such as z scores or linear scaling (Wu et al. in Clim Res 22:255?C270, 2002; Chakraborty et al. in Nat Hazards Rev 6(1):23?C33, 2005) and (2) an inductive approach using data-reduction techniques such as factor analysis (Clark et al. in Mitig Adapt Strateg Glob Change 3(1):59?C82, 1998; Cutter et al. Soc Sci Quart 84(2):242?C261, 2003). This study empirically compares deductive and inductive index development and indicator aggregation methods in assessing social vulnerability to natural disasters in the Gulf of Mexico and Atlantic coastal areas. The aggregated social vulnerability index is used to examine a relationship with disaster losses in the Gulf of Mexico and Atlantic coastal areas. The results show that coastal counties with more vulnerability in terms of social achieved status are positively associated with disaster damages, while variations in the development of the index using deductive and inductive measurement approaches produce different outcomes. 相似文献
18.
Natural disasters, like hurricanes, can damage properties and critical infrastructure systems, degrade economic productivity, and in extreme situations can cause injuries and mortalities. This paper focuses particularly on workforce disruptions in the aftermath of hurricanes. We extend the dynamic inoperability input?Coutput model (DIIM) by formulating a workforce recovery model to identify critical industry sectors. A decision analysis tool is utilized by integrating the economic loss and inoperability metrics to study the interdependent effects of various hurricane intensities on Virginia??s workforce sectors. The extended DIIM and available workforce survey data are incorporated in the decision support tool to simulate various hurricane scenarios. For a low-intensity hurricane scenario, the simulated total economic loss to Virginia??s industry sectors due to workforce absenteeism is around $410 million. Examples of critical sectors that suffer the highest losses for this scenario include: (1) miscellaneous professional, scientific, and technical services; (2) federal general government; (3) state and local government enterprises; (4) construction; and (5) administrative and support services. This paper also explores the inoperability metric, which describes the proportion in which a sector capacity is disrupted. The inoperability metric reveals a different ranking of critical sectors, such as: (1) social assistance; (2) hospitals and nursing and residential care facilities; (3) educational services; (4) federal government enterprises; and (5) federal general government. Results of the study will help identify the critical workforce sectors and can ultimately provide insights into formulating preparedness decisions to expedite disaster recovery. The model was applied to the state of Virginia but can be generalized to other regions and other disaster scenarios. 相似文献
19.
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。 相似文献
20.
Cascading effects are usually one of the common ways through which relatively minor hazards can substantially impact society and economy; the failure of a single industrial sector or cluster of sectors can result in cascading effect on other interlinked sectors. This paper attempts to quantify this cascading effect triggered by disrupted transportation in Hunan province due to the Great 2008 Chinese Ice Storm and proposes operational risk management measures. The advantage of computable general equilibrium (CGE) model (reflecting indirect and induced effects and the nonlinearity of production block) makes it a promising model to simulate cascading effects and the contribution of risk management measures. A detail transportation system is constructed in the production part of standard CGE model. This study finds the following results: The economic loss of Hunan province is amplified by approximately 40 times by cascading effects during the 2 months following the disaster. Large-scale disasters induce more strong cascading effects than minor ones. Post-disaster system resilience effectively stops the spread of cascading effects. When the economic system resilience (e.g., improving the substitution between road transportation and other forms of transportation and efficiency of road transportation) is increased by 10 %, the economic losses induced by cascading effects can be reduced by approximately 60 %. Overall, improving post-disaster system resilience is a highly efficient and cheap measure to reduce the risk from cascading effects. 相似文献