Identifying urban–rural differences in social vulnerability to natural hazards: a case study of China

Identifying and analyzing the urban–rural differences of social vulnerability to natural hazards is imperative to ensure that urbanization develops in a way that lessens the impacts of disasters and generate building resilient livelihoods in China. Using data from the 2000 and 2010 population censuses, this study conducted an assessment of the social vulnerability index (SVI) by applying the projection pursuit cluster model. The temporal and spatial changes of social vulnerability in urban and rural areas were then examined during China’s rapid urbanization period. An index of urban–rural differences in social vulnerability (SVI_D) was derived, and the global and local Moran’s I of the SVI_D were calculated to assess the spatial variation and association between the urban and rural SVI. In order to fully determine the impacts of urbanization in relation to social vulnerability, a spatial autoregressive model and Bivariate Moran’s I between urbanization and SVI were both calculated. The urban and rural SVI both displayed a steadily decreasing trend from 2000 to 2010, although the urban SVI was always larger than the rural SVI in the same year. In 17.5% of the prefectures, the rural SVI was larger than the urban SVI in 2000, but was smaller than the urban SVI in 2010. About 12.6% of the urban areas in the prefectures became less vulnerable than rural areas over the study period, while in more than 51.73% of the prefectures the urban–rural SVI gap decreased over the same period. The SVI_D values in all prefectures had a significantly positive spatial autocorrelation and spatial clusters were apparent. Over time, social vulnerability to natural hazards at the prefecture-level displayed a gathering–scattering pattern across China. Though a regional variation of social vulnerability developed during China’s rapid urbanization, the overall trend was for a steady reduction in social vulnerability in both urban and rural areas.

     

Migration and urban survival strategies in Windhoek, Namibia

Based on recent research in Windhoek, this paper demonstrates that it is the well established and widespread social linkages that persist between rural and urban households that are central to the ability of poor urban households to survive. Whereas informal coping mechanisms that include borrowing, piecework and credit are pervasive in rural areas of Namibia, intra-urban sources of food are poorly developed, and outside of kinship circles, social networks within Windhoek are used sparingly, even in times of greatest need. In addition, urban agriculture plays a very limited role at present in urban food supply. The research demonstrates that urban households that are most vulnerable to hunger are those that have limited social connections to the rural areas, and must rely on intra-urban opportunities to get food (including borrowing, begging, piecework and crime). The most vulnerable are female- and male-headed households with no access to farm income and limited/irregular urban incomes. In contrast, those with active rural-urban linkages enjoy significant transfers of food from rural areas that offset hunger and vulnerability in the urban context. Urban-rural reciprocity is therefore not only a one-way movement of people and resources from the urban to the rural areas, but also a transfer of food from rural to urban households.     

Poverty and environmental nexus in rural Pakistan: a multidimensional approach

The study examines the relationship between poverty and forest cover degradation in rural areas of Pakistan. The area selected for the study District Upper Dir is a rural and relatively backward region located in northwestern Pakistan, in Khyber-Pakhtunkhwa province. The study area is undergoing severe deforestation and natural disasters in the recent past. The study consists of two stages, in first stage the traditional Geographical information system image was used to analyze the spatial–temporal situation of the surroundings. In the second stage, well-designed questionnaire was used to collect the primary information from 420 randomly selected households of research areas. A multidimensional poverty index has been used to measure the poverty profile of the population. It has been found that 55% households were below the poverty line. Almost, 95% households are using wood for cooking purposes. High dependence on natural resources causes forest cover degradation while burning off too much wood causes CO₂ emission and leads to environmental degradation. A major portion of population is living on steeply sloped areas with certain risks. It is found that frequency of flash flood is 53% and agricultural land (54%) is at high risk and often flows with flash floods. It is concluded that there is strong correlation between multidimensional poverty and forest cover degradation which leads to climate and environmental risks.

     

Differential impacts of climate change on communities in the middle hills region of Nepal

There is a growing understanding that the impacts of climate change affect different communities within a country, in a variety of ways—not always uniformly. This article reports on research conducted in the middle hills region of Nepal that explored climate change vulnerability in terms of exposure, sensitivity and adaptive capacity across different well-being groups, genders of the head of household and household location. In the study region, dry land farming has increasingly experienced climate-induced changes to farm productivity and natural resources. The experience of vulnerability to decreased livelihood options and natural resource hazards due to a changing climate varied according to household wealth and well-being status, with very poor and poor households more vulnerable than medium and well-off households. The research indicates that the climate change adaptation would benefit by considering: (i) differential impacts of vulnerability mainly based on well-being status of households; (ii) understanding of the local socio-political context and underlying causes of vulnerability and its application; and (iii) identifying vulnerable populations for the units of vulnerability analysis and adaptation planning.     

Approaches to carbon allowance allocation in China: a computable general equilibrium analysis

China is preparing to develop and implement an emissions trading system in its 13th five-year plan. Allowance allocation is one of the key issues to settle during the establishment of this system. This study applies the China Energy and Environmental Policy Analysis model to assess how the allowances should be allocated. Simulation results show that, while impacts on China’s economic development vary according to how allowances are allocated, the negative impacts cannot be mitigated completely, which are between −0.5 and −0.1 % when 5 % of carbon emissions are reduced. In terms of the impacts on the macroeconomy, sectoral output, and capital revenue, results suggest that auctioning the allowances and recycling the revenue to reduce the indirect tax will perform best in alleviating the negative impacts. Meanwhile, impacts of carbon mitigation on international competitiveness can be reduced most in the approach where only key energy- and trade-intensive sectors are able to receive free allowances. However, if citizens’ welfare and quality of life is prioritized, auctioning the allowance and transferring the revenue to households in proportion to their occupation will be the most effective approach; in this case, the negative impacts on rural households’ disposable incomes and welfare will be reduced, and the income gap between rural and urban households will be narrowed.

     

西安市地下水污染广义/狭义脆弱性对比研究

从"污染源排放→包气带输送→地下水污染"的系统出发,提出了地下水污染广义和狭义脆弱性的概念,并构建了相应的指标体系和评价方法;在广泛污染源调查和水文地质调查的基础上,在GIS支持下完成了地下水污染脆弱性分析试验.结果显示:纯水文地质条件的狭义脆弱性,各河道、漫滩阶地、一级阶地和老城人工填土区最为脆弱;考虑土地利用和污染源分布的广义脆弱性评价,西安市建城区和北郊污灌区敏感最高.从而得出,狭义脆弱性适合人类活动差异较小的较大区域,而广义脆弱性适合人类活动差异较大的城市区域,两者有其适用的条件和范围.     

GIS-based DRASTIC model for groundwater vulnerability and pollution risk assessment in the Peshawar District,Pakistan

Groundwater is the most economic natural source of drinking in urban and rural areas which are degraded due to high population growth and increased industrial development. We applied a GIS-based DRASTIC model in a populated urban area of Pakistan (Peshawar) to assess groundwater vulnerability to pollution. Six input parameters—depth to phreatic/groundwater level, groundwater recharge, aquifer material, soil type, slope, and hydraulic conductivity—were used in the model to generate the groundwater vulnerable zones. Each parameter was divided into different ranges or media types, and ratings R?=?1?–?10 were assigned to each factor where 1 represented the very low impact on pollution potential and 10 represented very high impact. Weight multipliers W?=?1?–?5 were also used to balance and enhance the importance of each factor. The DRASTIC model scores obtained varied from 47 to 147, which were divided into three different zones: low, moderate, and high vulnerability to pollution. The final results indicate that about 31.22, 39.50, and 29.27% of the total area are under low, moderate, and high vulnerable zones, respectively. Our method presents a very simple and robust way to assess groundwater vulnerability to pollution and helps the decision-makers to select appropriate landfill sites for waste disposals, and manage groundwater pollution problems efficiently.     

Analysis of the seismic vulnerability and the structural characteristics of houses in Chinese rural areas

Disastrous earthquakes brought extensive damage to rural houses not designed to resist seismic movements in China. So far, the paucity of nation-wide data on rural houses, especially on their structural features, has prevented a comprehensive national assessment of the earthquake vulnerability of rural areas. This paper estimates the proportion of rural houses in each of five different structural groups in county-level administration units in China with downscaling methods and assesses the seismic vulnerability of counties paying attention to the seismic intensity and social–economic characteristics of different areas. A housing damage index is constructed with the expected amount and ratio of damaged houses in earthquakes, based on which four vulnerability levels are specified for each county-level unit. The results show that highly vulnerable and vulnerable counties account for 7.9 % and 10.7 % of all, respectively. Based on the distribution of these counties, the critical factors of weakness in different regions, such as seismic intensity, housing quality and population density, are analyzed, and risk reduction strategies are discussed.     

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.     

A multi-dimensional assessment of urban vulnerability to climate change in Sub-Saharan Africa

In this paper, we develop and apply a multi-dimensional vulnerability assessment framework for understanding the impacts of climate change-induced hazards in Sub-Saharan African cities. The research was carried out within the European/African FP7 project CLimate change and Urban Vulnerability in Africa, which investigated climate change-induced risks, assessed vulnerability and proposed policy initiatives in five African cities. Dar es Salaam (Tanzania) was used as a main case with a particular focus on urban flooding. The multi-dimensional assessment covered the physical, institutional, attitudinal and asset factors influencing urban vulnerability. Multiple methods were applied to cover the full range of vulnerabilities and to identify potential response strategies, including: model-based forecasts, spatial analyses, document studies, interviews and stakeholder workshops. We demonstrate the potential of the approach to assessing several dimensions of vulnerability and illustrate the complexity of urban vulnerability at different scales: households (e.g., lacking assets); communities (e.g., situated in low-lying areas, lacking urban services and green areas); and entire cities (e.g., facing encroachment on green and flood-prone land). Scenario modeling suggests that vulnerability will continue to increase strongly due to the expected loss of agricultural land at the urban fringes and loss of green space within the city. However, weak institutional commitment and capacity limit the potential for strategic coordination and action. To better adapt to urban flooding and thereby reduce vulnerability and build resilience, we suggest working across dimensions and scales, integrating climate change issues in city-level plans and strategies and enabling local actions to initiate a ‘learning-by-doing’ process of adaptation.

     

Participatory action research: working beyond disaster toward prevention

Drawing on qualitative analyses of post-disaster effects on vulnerable rural communities in Pakistan, this paper puts forward a participatory action research stance as a next step or approach toward prevention. This approach stands in contrast to the current post-disaster relief model commonly practiced by many non-government organizations (NGOs). The participatory action research perspective was used to examine the qualitative evidence and provide a framework to effectively work with rural vulnerable communities. Qualitative analyses documented community wisdom and ideas toward prevention which, when potentially partnered with resources offered by NGOs, could dramatically reduce their vulnerability to natural disasters.     

中国冻土对气候变化的脆弱性

冻土的脆弱性是指冻土对气候变化的脆弱性,是冻土易受气候变化,尤其是温度变化不利影响的程度. 研究冻土对气候变化的脆弱性是提高对自然生态系统、工程系统、生态-社会-经济系统对冻土变化影响的脆弱性的认知,科学适应冻土变化诸种影响的前提和基础. 基于科学性与实际相结合的原则、全面性与主导性原则、可操作性原则,以暴露度、敏感性与适应能力为标准,遴选构建了我国冻土脆弱性评价指标体系. 借助RS与GIS技术平台,使用空间主成分方法,构建了冻土脆弱性指数模型,在区域尺度上综合评价了冻土的脆弱性. 依据自然分类法,将冻土脆弱性分为潜在脆弱、轻度脆弱、中度脆弱、强度脆弱与极强度脆弱5级. 结果表明：总体上我国冻土以中度脆弱为主,但青藏高原多年冻土对气候变化尤为脆弱;冻土脆弱性具有显著的地域分布特点,青藏高原、西部高山、东北多年冻土区脆弱性相对较高,季节冻土区相对较低. 与季节冻土相比,多年冻土对气候变化更脆弱. 在当前升温幅度条件下,冻土脆弱程度主要取决于冻土的地形暴露与冻土对气候变化的适应能力.     

Determination of areas vulnerable to pollution in a karstic river basin in Turkey via a decision support system based on DRASTIC,SWAT and isotopes analysis

Determination of areas vulnerable to water pollution in river basins helps to generate appropriate water management protection plans. This study aims to define areas vulnerable to pollutants in a data-scarce karstic river basin in Turkey by using a holistic approach integrating the Soil and Water Assessment Tool (SWAT), the DRASTIC framework, and selected isotopes within a decision support system based on a geographic information system to delineate vulnerable areas. DRASTIC was used to show groundwater vulnerability to pollutants. The concentrations of isotopes ¹⁸O, ²H, and ³H in groundwater were used to define the vulnerable areas of the karst region. SWAT was utilized to show watershed vulnerability to pollutants in shallow aquifers. The recharge rate parameter in DRASTIC was obtained from SWAT. This methodological approach was applied to the Yuvacık Dam Basin in Kocaeli, part of the Marmara River Basin, as it is a good example of a karstic watershed. According to this study, each approach provides different vulnerabilities when applied separately. The final map obtained from the integrated approach shows that drinking water supplies in the northeast and northwest parts of the basin are highly vulnerable to pollution. All the karst spring catchments and areas near the basin outlet are highly vulnerable. Moreover, across all water samples taken across the basin, those exhibiting the highest concentrations in nitrate were all found in the areas mapped as highly vulnerable. The methodology was validated by analyzing nitrate concentration in 22 groundwater and surface-water samples.

     

A simplified approach for flood vulnerability assessment of historic sites

In the last decades, floods have increased in frequency all over the world due to diverse phenomena such as climate change, extended urbanization, land use, etc. Their social, cultural, economic and environmental impacts have also grown significantly, highlighting the need for the development of further studies and improved methods to manage and mitigate flood risk, mainly in urban areas. Historic sites need particular attention in this field, not only because the high and irreplaceable cultural value of these areas, but also taking into account that the constructive typologies that they host are particularly vulnerable to natural hazards. In consequence of that, the analysis of the phenomena, the evaluation of their consequences and the adoption of adequate mitigation and preparedness measures are presently a fundamental societal challenge. Having this in mind, the present paper aims at proposing an innovative methodology focused on the assessment of flood vulnerability in historic sites through the evaluation of a set of exposure and sensitivity indicators. From the analysis of these indicators, it is possible to obtain a Flood Vulnerability Index capable of measuring the spread of flood vulnerability over an extended area. The historic centre of Guimarães, in Portugal, declared by UNESCO as a World Heritage Site in 2001, is used here as a pilot case study to apply and discusses the preliminary version of the approach. Although some improvements are still needed, this approach can be already used to provides preliminary vulnerability scenarios and to point the way to the definition of more efficient and customized strategies for managing and mitigating flood risk in historic sites. Moreover, with further improvements and calibrations resorting to larger and more diverse data, it will be possible to reduce some of the uncertainties currently involved in the assessment process and to make its application wider and more robust.

     

Simulation of physical and socioeconomic factors of vulnerability to cyclones and storm surges using GIS: a case study

The objective of the present study is to simulate the physical and socioeconomic factors of human vulnerability to tropical cyclones and storm surges at the household level in existing and changing status of households. The primary data were collected from a cyclone prone coastal area in Bangladesh, through structured questionnaire and GPS survey, key informants interviews and field observations. In order to simulate the physical and socioeconomic factors geographical information systems based Structured Query Language (SQL) query has been used. The study simulated the physical and socioeconomic factors of human vulnerability to tropical cyclones and storm surges on the basis of collected data through pre-designed SQL query. The study found the number of most vulnerable households under existing conditions and how much it will be afterward of a favourable or adverse change of the factors of vulnerability associated with households. The major findings of the study unveil that the socioeconomic and physical factors of human vulnerability have important function to determine the household’s level of vulnerability to the cyclone induced disaster. It has been demonstrated that the degree of vulnerability of households is changed with its physical and socioeconomic status. This study provides a conceptual model for assessing and simulating vulnerability to other natural hazards like floods, droughts, riverbank erosions and so forth. This study highlights that the households’ intrinsic vulnerable conditions are responsible for its defencelessness to the hazards and the reduction of vulnerability is the first measure of integrated and sustainable disaster management in the coastal Bangladesh.     

Validation and development of composite indices for measuring vulnerability to earthquakes using a socio-economic perspective

While many approaches for assessing earthquake risk exist within the literature and practice, it is the dynamic interrelationships between earthquake hazard, physical risk, and the social conditions of populations that are the focal point for disaster risk reduction. Here, the measurement of vulnerability to earthquakes (i.e., characteristics that create the potential for harm or loss) has become a major focus area. However, metrics aimed at measuring vulnerability to earthquakes suffer from several key limitations. For instance, hazard and community context are often ignored, and attempts to validate metrics are largely non-existent. The purpose of this paper is to produce composite indices of the vulnerability of countries to earthquakes within three topical areas: social vulnerability, economic vulnerability, and recovery potential. To improve upon the status quo in indicators development for measuring vulnerability to seismic events, our starting point was to: (1) define a set of indicators that are context specific to earthquakes as defined by the literature; (2) delineate indicators within categorical areas of vulnerability that are easy to understand and could be put into practical use by DRR practitioners; and (3) propose indicators that are validated using historical earthquake impacts. When mapped, the geographic variations in the differential susceptibility of populations and economies to the adverse effects of damaging earthquake impacts become evident, as does differential ability of countries to recover from them. Drivers of this geographic variation include average country debt, the type and density of infrastructure, poverty, governance, and educational attainment, to name just a few.

     

The Role of non-timber forest products as safety-nets: A review of evidence with a focus on South Africa

Poor, rural communities are vulnerable to adversity. To secure their livelihoods, people adopt multiple livelihood strategies, including using non-timber forest products (NTFPs). NTFPs have been identified as important to rural livelihoods, as an alternative land-use option as well as in fulfilling an important safety-net function although empirical evidence on the latter’s strength is limited. Whilst NTFPs may contribute towards alleviating poverty, this safety-net function needs more critical and quantitative investigation. This includes the establishment of an applicable definition so this function can be communicated to policy makers and taken into account in national poverty alleviation strategies and, in attempts to promote resource-conserving behaviour by highlighting the value of natural resources (including NTFPs) compared to alternative land-use options. Poverty in rural households is complex and households are vulnerable to a range of shocks. During adversity households can turn to a range of possible safety-nets. What determines the use of NTFPs as a safety-net, how this safety-net function manifests and the strength of this function is poorly understood and there is need for further investigation.     

Factors affecting earthquake recovery: the Yao’an earthquake of China

Households vary in their ability to deal with disasters, and this may lead to different recovery results. Aiming to examine this differentiation, this paper studied the 2009 Yao??an earthquake in China. Surveys of 200 destroyed rural households were conducted in field investigations and follow-ups at 1?month, 1?year, and 1.5?years after the earthquake. The results showed a clear difference in recovery, the households observably being classified into five groups. These are the O group, which has different recovery time and economic cost from the other four; and the special group, comprising E _L T _O and E _O T _L (vulnerable during recovery); E _H T _O (strong during recovery); and E _L T _S (neither vulnerable nor strong). Logistic regression analysis revealed that differentiation in recovery patterns arose from the combined effect of demographic factors and external assistance provided to households. Lower income is the root cause of vulnerability in some households during the recovery process. However, other factors cause recovery differences between the two vulnerable groups, causing the economic recovery cost of the E _L T _O group to be lower, and the recovery time of the E _O T _L group to be longer. There was consensus that external assistance had an impact on all households. The more provided and the earlier it arrived, the lower the cost for recovery and the shorter the recovery time. This study shows that research on group differentiation of recovery is useful in understanding post-earthquake recovery processes and calls for taking group differentiation considerations into account in post-disaster recovery resource allocation practices.     

A framework to assess the vulnerability of California commercial sea urchin fishermen to the impact of MPAs under climate change

This paper describes the development of a Livelihood Vulnerability Index (LVI) that estimates the relative ability of California commercial sea urchin fishermen to cope with the change associated with proposed marine protected areas. A key goal in establishing marine protected areas is to maximize conservation benefits while minimizing the potential negative impacts to local fishing communities. However, current impact analyses largely assume a linear relationship between percent of fishing area or revenue lost with the magnitude of impact to fishermen. The LVI described in this paper aims to provide an additional dimension to impact analyses in which the adaptive capacity of individual fishermen is examined to estimate the differential abilities of fishermen to cope with the loss of fishing areas or revenue. This paper advances vulnerability assessments as it develops a novel framework for identifying and measuring drivers of vulnerability for understudied fishing populations whose livelihoods depend upon marine resources. This vulnerability assessment is intended to inform the design of marine protected areas by enabling researchers to incorporate the adaptive capacity of fishermen into socioeconomic impact analyses. The LVI was developed for the California commercial sea urchin fishery in the context of proposed marine protected area networks develop through the California Marine Life Protected Act planning process. As climate change advances there is an increasing need to identify vulnerable and resilient populations and ways to bolster adaptive capacity given the environmental and economic changes ahead.     

Social vulnerability in the context of bushfire risk at the urban-bush interface in Sydney: a case study of the Blue Mountains and Ku-ring-gai local council areas

In the recent past, Australia has experienced several catastrophic hazard events and the frequency and intensity of such events is expected to increase in the future. Natural hazards can rarely be fully prevented, yet their losses can be minimized if the necessary preparedness and mitigation actions are taken before an event occurs. Identification of vulnerable groups is an important first step in any preparedness and emergency management planning process. Social vulnerability refers to population characteristics that influence the capacity of a community to prepare for, respond to and recover from disasters. Factors that contribute to social vulnerability are often hidden and difficult to capture. This study analyzes the relative levels of social vulnerability of communities at the urban?Cbush interface in the Blue Mountains and Ku-ring-gai local council areas in New South Wales (NSW), Australia. We tested whether a standardized social vulnerability index could be developed using a pre-existing set of indicators. We created an exploratory principle component analysis model using Australian Bureau of Statistics 2006 census data at the Census Collection District (CCD) level. We identified variables contributing to social vulnerability and used the component scores to develop a social vulnerability index. Finally, the social vulnerability index was mapped at the CCD level. Our results indicate that both contributors to and the level of social vulnerability differ between and within communities. In other words, they are spatially variable. They show different spatial patterns across the areas, which provides useful information for identifying communities that are most likely to experience negative disaster impacts due to their socio-demographic characteristics.