共查询到20条相似文献，搜索用时 703 毫秒
1.
Christoph Aubrecht Klaus Steinnocher Mario Köstl Johann Züger Wolfgang Loibl 《Natural Hazards》2013,68(3):1371-1384
For assessing the social dimension of vulnerability, population exposure mapping is usually considered the essential starting point. Integration of social structure then further differentiates situation-specific vulnerability patterns on a local scale. Census data available in heterogeneous spatial reference units are still considered the standard information input for assessing potentially affected people, for example, in case of an emergency. There is a strong demand for population data in homogeneous spatial units that are independent from administrative areas. Raster representations meet this demand but are not yet available for all European countries. In this paper, we present an approach of spatial disaggregation of population data for a European transect referring to current population statistics and anticipated future prospects. Recently published data providing the degree of soil sealing are applied as basic proxy for population density in the spatial disaggregation model. In order to assess future patterns of climate change-related vulnerability, results of a European regional climate model are considered for projecting the situation in the 2030s. “Heat wave frequency” is accounted for as climate variable featuring conditions regarded as especially strenuous for elderly or physically weak persons. Integrated analysis of the population and climate prospects enables identification of hot spots in the European transect examined, that is, regions of particularly demanding projected climatic patterns as well as high population density and case-specific vulnerable structure (elderly people). Integrated and consistent spatial analyses on European scale are essential for decision support in the context of climate change impact mitigation as well as for risk communication and future safety and security considerations. 相似文献
2.
Shi Peijun Wang Aihui Sun Fubao Li Ning Ye Tao Xu Wei Wang Jing&#x ai Yang Jianping Zhou Hongjian 《地球科学进展》2016,31(8):775-781
Global climate change featured with warming has created serious challenge to world sustainable development and human security. It has become an important consensus of the international society to assess global change risk at the global scale and carry out tailored governance and risk-based adaptation. National Key Research and Development Program “Study on global change population and economic system risk forming mechanism and assessment” aims at quantitatively predicting future global climate change and population and economic system exposure and vulnerability change, developing global change population and economic system risk assessment model based on complex system dynamics, synthesizing risk assessment model with proprietary intellectual property rights, assess global change population and economic system risk of the near and mid future at the global scale, and compiling the atlas of global change population and economic system risk. The outcomes intend to serve the participation of global risk governance and international climate negotiation, and to provide scientific support to the implementation of international disaster risk reduction strategy. 相似文献
3.
Landslide risk assessment is often a difficult task due to the lack of temporal data on landslides and triggering events (frequency), run-out distance, landslide magnitude and vulnerability. The probability of occurrence of landslides is often very difficult to predict, as well as the expected magnitude of events, due to the limited data availability on past landslide activity. In this paper, a qualitative procedure for assessing the exposure of elements at risk is presented for an area of the Apulia region (Italy) where no temporal information on landslide occurrence is available. Given these limitations in data availability, it was not possible to produce a reliable landslide hazard map and, consequently, a risk map. The qualitative analysis was carried out using the spatial multi-criteria evaluation method in a global information system. A landslide susceptibility composite index map and four asset index maps (physical, social, economic and environmental) were generated separately through a hierarchical procedure of standardising and weighting. The four asset index maps were combined in order to obtain a qualitative weighted assets map, which, combined with the landslide susceptibility composite index map, has provided the final qualitative landslide exposure map. The resulting map represents the spatial distribution of the exposure level in the study area; this information could be used in a preliminary stage of regional planning. In order to demonstrate how such an exposure map could be used in a basic risk assessment, a quantification of the economic losses at municipal level was carried out, and the temporal probability of landslides was estimated, on the basis of the expert knowledge. Although the proposed methodology for the exposure assessment did not consider the landslide run-out and vulnerability quantification, the results obtained allow to rank the municipalities in terms of increasing exposure and risk level and, consequently, to identify the priorities for designing appropriate landslide risk mitigation plans. 相似文献
4.
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
5.
The assessment of social vulnerability is a requirement for understanding the risk of natural hazards. This paper calculates the social vulnerability index of geological disasters in China with the super-efficiency DEA (data envelopment analysis) model, carries out global and local autocorrelation tests for social vulnerability to geological disasters in each province in China and identifies the characteristics of its spatial distribution pattern. The results show the following. (1) China’s social vulnerability to geological disasters is relatively high and has obvious differences. It represents the pattern of a significant increase by degrees in social vulnerability to geological disasters from east to west and a significantly negative correlation relationship between the vulnerability level and the economic level. (2) Based on the comparative analysis of the mean values of the indexes and the social vulnerability index of geological disasters, it is found that the social vulnerability index of geological disasters in China is directly related to the regional exposure degree and reaction and recovery ability, among which the reaction and recovery ability has great effects on the social vulnerability index. (3) Most of the regions in China are in a high–high clustering area or a low–low clustering area; that is to say, the regions with similar social vulnerability to geological disasters represent the pattern of clustering. 相似文献
6.
Philipp Schmidt-Thom Stefan Greiving Hilkka Kallio Mark Fleischhauer Jaana Jarva 《Quaternary International》2006,150(1):103
Europe experiences different natural hazards and subsequent risks that have various effects on the development of its regions. The spatial significance of hazards can be expressed as an economic risk when combining hazard potential with vulnerability data. Two examples of European natural hazard maps on floods and earthquakes, as well as the resulting risk profiles of regions (combination of hazard potential and vulnerability) give a first impression on the spatial characters of hazards in Europe and their potential impact on further spatial development. The economic risk maps enable a view on the spatial dimension of the economic damage potential of flood and earthquakes, pointing out comparable situations across Europe with the aim to facilitate targeted responses and policies. The spatial character of a hazard is either defined by spatial effects that might occur in case of a disaster or by the possibility of spatial planning responses. The integration of the economic vulnerability of a region (regional GDP per capita, population density) leads to a classification of areas according to their economic risk or damage potential towards hazards. These synthetic risk profiles are presented as risk maps of European regions in administrative boundaries. Obtained information can be of interest for spatial planning and development strategies, e.g. economic risk profile of regions can influence the targets of investments and could thus be an important background for structural funding. 相似文献
7.
中国西部环境演变及其影响研究 总被引：45，自引：1，他引：45
文章综述了气候与中国西部环境演变过程及其对社会经济的影响 ,特别分析了人类活动和全球变暖条件下的演变特征。以政府间气候变化专门委员会 (IPCC) )的研究方法 ,采用全球大气海洋耦合模式和区域气候模式 ,预测了 2 0 10年、2 0 30年和 2 0 5 0年中国西部地区未来气候生态环境的可能变化趋势即情景。对西部地区生态与经济的脆弱性问题也作了分析 ,最后提出了在西部大开发中实施生态环境保护与可持续发展双赢战略的思想。 相似文献
8.
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
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.
Prioritization of disaster risk was carried out for a community in Toronto, Canada. Geographic information systems (GIS) were used for spatial analysis, including spatial overlays and clipping for extracting spatial and attribute information related to people’s vulnerability, critical infrastructure and landuse. In order to determine disaster risk, the overall community vulnerability was evaluated by combining social, economic, physical and environmental vulnerabilities. This paper uses the propane explosion incident as the case in point to demonstrate the methodology and procedure used to evaluate risk using GIS techniques. City of Toronto spatial data have been integrated with the study area to gather landuse information, identify risk zones based on the propane storage facility location and evaluate risks. Statistics Canada 2006 census data have been used for area demographics and people’s social and economic status. Vulnerability indicators were determined based on the GIS-derived spatial and attribute data for the hazard and evacuation zones followed by a quantitative spatial risk estimation and ranking. The methodology of this study, based on the risk evaluation and prioritization conducted, can be applied to future decision making in effective landuse planning and the development of risk management strategies. 相似文献
11.
Based on former conceptual models of vulnerability, this paper aims to improve the quantitative model for regional vulnerability assessment by analyzing in-depth the relation between vulnerability, exposure, coping capacity, and resilience. Taking the mountain settlements in the upper reaches of Min River, China, as a case study, the method of Contributing Weight Superposition (CWS) is applied in establishing both a model and a system for the vulnerability assessment of elements at risk. The CWS approach consists of 13 index factors including population, economic and road densities, building and farmland coverage, hazard-affected areas, urbanization rate, and GDP per capita. Accordingly, a debris flow hazard vulnerability zoning map was obtained and the assessment results show that the distribution of high and comparatively high vulnerability zones, where economic activities are considerably high, has a close correlation to the topography of the catchment and population characteristics. The results thus may serve as a pertinent guidance for settlement relocation, population distribution readjustment, and management to prevent and reduce hazards in the upper reaches of Min River and beyond. 相似文献
12.
我国冰冻圈及其变化的脆弱性与评估方法 总被引：2，自引：2，他引：0
基于脆弱性研究文献,从脆弱性概念、评估内容、评估方法等方面系统总结了脆弱性评估研究的特点和趋势,开展脆弱性评估时应注意的系统、关注特征、灾害、尺度与时间等五个方面,剖析了区域尺度脆弱性评估涉及的一系列问题,介绍了脆弱性评估方法及其优缺点和适用性.探讨了我国冰冻圈及其变化的脆弱性概念,分析了二者之间的关系,论述了我国冰冻圈及其变化的脆弱性评估内容、评估尺度和评估方法. 相似文献
13.
《Geoforum》2017
Understanding the complexity of vulnerability to disasters, including those triggered by floods, droughts and epidemics is at the heart of disaster risk reduction. Despite its importance in disaster risk reduction, there remains a paucity of approaches that contribute to our understanding of social vulnerability that is hidden in dynamic contextual conditions. The study demonstrates an accessible means to assessing the spatial variation of social vulnerability to flood hazards and related for the context of Muzarabani district in northeast Zimbabwe. The study facilitated local identification with residents of variables contributing to social vulnerability and used the principal component analysis (PCA) technique to develop a social vulnerability index (SoVI). Using ArcMap10.2 geographic information systems (GIS) tool, the study mapped composite SoVI at the ward level. The results showed that Muzarabani district is socially vulnerable to hazards. The social vulnerability is influenced by a variety of economic, social and institutional factors that vary across the wards. Quantifying and visualising social vulnerability in Muzarabani provides useful information for decision makers to support disaster preparedness and mitigation programmes. The approach shows how spatially distributed multivariate vulnerability, as grounded in interpretations at local level, can be quantitatively derived for contexts such as those of Muzarabani. The study findings can inform disaster risk reduction communities and cognate disciplines on quantitative assessments for managing hazard vulnerability where these have hitherto not been developed. 相似文献
14.
Jelena Kovačević-Majkić Milena Panić Dragana Miljanović Radmila Miletić 《Natural Hazards》2014,72(2):945-968
The frequency of natural disasters and the extent of their consequences at a global level are constantly increasing. This trend is partially caused by increased population vulnerability, which implies the degree of population vulnerability due to high-magnitude natural processes. This paper presents an analysis of vulnerability to natural disaster in Serbia in the second half of the twentieth and the early twenty-first century. Vulnerability changes were traced on the basis of demographic–economic indicators derived from statistical data for local government units (municipalities) provided by the Statistical Office of the Republic of Serbia. Calculations were performed in the geographical information system environment. The results of the study show that spatial and temporal vulnerability variations are causally correlated with changes in the selected components. Significant rise of vulnerability is related to urban areas, while lower values are characteristic for other areas of Serbia; this is primarily a consequence of different population density. 相似文献
15.
Stefan Kienberger 《Natural Hazards》2012,64(3):2001-2019
In Mozambique, the district level is empowered through recent policies to carry out disaster risk reduction activities. To address risk and associated activities appropriately, both information on the occurrence and distribution of hazards and information on the spatial distribution of vulnerability have to be available. Within this paper, a method is presented to model the social and economic dimension of vulnerability in a spatial and integrative manner applying the geon approach. Homogenous vulnerability regions are identified through the application of integrated modelling approaches, which build on expert and upscaled local knowledge and weightings. A set of indicators is proposed, which allow the modelling of vulnerability in a data-scarce environment. Finally, the different perceptions between national experts and local community members are visualised through maps, and opportunities are discussed. Overall, the method and results presented aim to facilitate the identification of critical vulnerability areas through different views, serving the needs at decision makers?? and experts?? level. 相似文献
16.
Tiodora Hadumaon Siagian Purhadi Purhadi Suhartono Suhartono Hamonangan Ritonga 《Natural Hazards》2014,70(2):1603-1617
Indonesia is located in the Pacific Ring of Fire and situated at the joining point of four major world tectonic plates. Regions of Indonesia are highly prone to various natural hazards such as earthquakes, tsunamis and volcanic eruptions. Some recent major natural hazard events are the 2004 tsunami in Aceh and Nias and the 2010 Mount Merapi volcanic eruptions in Central Java. In parallel with advancement in knowledge of the existing hazards, the importance of social aspects of vulnerability in mitigating natural hazards has been acknowledged by the Indonesian government. However, to date, there is no institutionalized effort for assessing social vulnerability to natural hazards that would cover all the districts of Indonesia. Accordingly, no comprehensive profile of social vulnerability is available as basis information for developing strategies to prevent larger risk and losses and reduce vulnerability of communities in Indonesia. Only a few studies have been conducted in Indonesia on this field. This study attempts to fill this gap by quantifying the social vulnerability of Indonesian districts to natural hazards, determining its driving factors and mapping its variations. The social vulnerability index (SoVI) approach is utilized in this study. Three main driving factors affecting social vulnerability in Indonesia are found: ‘socioeconomic status and infrastructure,’ ‘gender, age and population growth’ and ‘family structure.’ The combination of SoVI with thematic map utilizing ArcView GIS can be used to identify districts with relative high social vulnerability level. The results can support the prevention, mitigation, preparedness, response and recovery programs of the impacts of natural hazards in Indonesia. 相似文献
17.
Yong Shi 《Natural Hazards》2013,66(2):1189-1203
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. 相似文献
18.
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。 相似文献
19.
Spatial aspects of building and population exposure data and their implications for global earthquake exposure modeling 总被引：1，自引：1，他引：0
This paper discusses spatial aspects of the global exposure dataset and mapping needs for earthquake risk assessment. We discuss this in the context of development of a Global Exposure Database for the Global Earthquake Model (GED4GEM), which requires compilation of a multi-scale inventory of assets at risk, for example, buildings, populations, and economic exposure. After defining the relevant spatial and geographic scales of interest, different procedures are proposed to disaggregate coarse-resolution data, to map them, and if necessary to infer missing data by using proxies. We discuss the advantages and limitations of these methodologies and detail the potentials of utilizing remote-sensing data. The latter is used especially to homogenize an existing coarser dataset and, where possible, replace it with detailed information extracted from remote sensing using the built-up indicators for different environments. Present research shows that the spatial aspects of earthquake risk computation are tightly connected with the availability of datasets of the resolution necessary for producing sufficiently detailed exposure. The global exposure database designed by the GED4GEM project is able to manage datasets and queries of multiple spatial scales. 相似文献
20.
Toward a rapid probabilistic seismic vulnerability assessment using satellite and ground-based remote sensing 总被引：2，自引：1，他引：1
Natural hazards such as earthquakes threaten millions of people all around the world. In a few decades, most of these people will live in fast-growing, inter-connected urban environments. Assessing risk will, therefore, be an increasingly difficult task that will require new, multidisciplinary approaches to be tackled properly. We propose a novel approach based on different imaging technologies and a Bayesian information integration scheme to characterize exposure and vulnerability models, which are among the key components of seismic risk assessment. 相似文献