Using fuzzy set theory to address the uncertainty of susceptibility to drought

This paper presents the technical aspects of a new methodology for assessing the susceptibility of society to drought. The methodology consists of a combination of inference modelling and fuzzy logic applications. Four steps are followed: (1) model input variables are selected—these variables reflect the main factors influencing susceptibility in a social group, population or region, (2) fuzzification—the uncertainties of the input variables are made explicit by representing them as ‘fuzzy membership functions’, (3) inference modelling—the input variables are used to construct a model made up of linguistic rules, and (4) defuzzification—results from the model in linguistic form are translated into numerical form, also through the use of fuzzy membership functions. The disadvantages and advantages of this methodology became apparent when it was applied to the assessment of susceptibility from three disciplinary perspectives: Disadvantages include the difficulty in validating results and the subjectivity involved with specifying fuzzy membership functions and the rules of the inference model. Advantages of the methodology are its transparency, because all model assumptions have to be made explicit in the form of inference rules; its flexibility, in that informal and expert knowledge can be incorporated through ‘fuzzy membership functions’ and through the rules in the inference model; and its versatility, since numerical data can be converted to linguistic statements and vice versa through the procedures of ‘fuzzification’ and ‘defuzzification’.     

Study on Assessing Economic Vulnerability of Small Island Regions

The main purpose of this study is to assess economic vulnerability of small island development regions as part of their sustainability constraints. By combining economic and environmental time series data, we assessed a composite index of economic vulnerability which is constructed from three exogenous variables, namely economic exposure, economic remoteness, and economic impact of environmental and natural disasters. We used the Amami Islands, Kagoshima Prefecture, Japan as the case studies for this paper.The results indicated that using a gross island products based valuation index, Kikaijima is the most vulnerable island in the Amami Islands with a composite economic vulnerability index (CEVI) value of 0.678, while by using a per capita based index, Okinoerabujima is considered the most vulnerable island with a CEVI value of 0.680. From the results we also revealed that smaller islands have relative higher vulnerability than the bigger one, which also confirms some previous country-level vulnerability studies.However, it is matter of fact that some islands that have relatively high vulnerability also have good economic performance as shown by their per capita income. In this regard, it can be argued that the success of these small islands could have been achieved in spite of and not because of their inherent vulnerability conditions as an indicator of sustainability constraint. Regarding these findings, we also examined a comparison between vulnerability results and the preliminary concept of an island's resilience in order to capture another perspective on sustainability assessment in a small island region.     

Vulnerability assessment of sea-level rise in Viti Levu, Fiji Islands

Fiji is expected to come under increasing pressure and risk from various threats resulting from climate change and sea-level rise (SLR). Fiji consists of 332 islands and thus has a predominant and large coastline. Viti Levu is the largest and most important of the islands, harboring Fiji’s capital city and most of the major towns concentrated around its coast. The objectives of this study were to evaluate the extent of possible sea-level rise using GIS, and to identify high-risk locations. Potential sea level rise was shown graphically as an output to determine where inundation or flooding would take place. This analysis allowed important areas facing risk to be highlighted for future action. Flooding/inundation can be classified into two kinds: ‘permanent inundation’, which is the result of sea-level rise with tide; and ‘temporary flooding’, also including occasional storm surge events. The inundated area was displayed under different projections and quantified. The results produced output maps showing the distribution of inundation/flooding around the island of Viti Levu as well as the extent of flooding. Six scenarios for sea-level rise were used (0.09, 0.18, 0.48, 0.50, 0.59, 0.88 m). Six scenarios for storm surge were used with return intervals of 1, 2, 5, 10, 25, 50 years. High risk and priority locations are identified as Fiji’s capital Suva, the major tourist center and arrival port of Nadi, and Fiji’s second city Lautoka. Future action, adaptation and response strategies in these identified locations must occur to reduce risk from climate change.     

Climate hazards: Lessons from recent events in the United States

Three recent cases of climate extremes are studied to identify human impacts and response strategies and to identify common characteristics that may help illuminate the nature of climate hazards. The 1980 heat wave in the central United States, 1981 cold wave in Boston, Massachusetts, and recent flooding and lake level rise in northern Utah, illustrate several important aspects of climate hazards that separate them from the more traditional set of catastrophic events (e.g. tornadoes, hurricanes and earthquakes) usually dealt with by hazards research and management. Among those characteristics are an emphasis on health impacts rather than physical damage, accumulative effects rather than short shocks, a tendency for impacts to accrue to certain socio-economic classes, and relatively slow onset. The management and research implications of these hazard characteristics are explored.     

乌鲁木齐冬季大气混浊度系数与光气候

本文利用30年的气候资料分析了乌鲁木齐冬季光气候与大气混浊度之间的关系,指出了大气混浊度的增加是造成辐射总照度下降的主要原因.     

气候政策研究中的数学模型评述

按照成本分析和综合分析2个层次，分别介绍了投入产出模型、可计算一般均衡模型、宏观计量经济模型、工程经济模型、动态能源优化模型、能源系统模拟模型、综合评估模型等不同模型方法的特点及其在气候政策分析中的应用。指出可计算一般均衡模型是应用得最为广泛的方法之一。概括了气候政策模型研究的4个发展趋势，包括加强综合评估模型的应用、扩展成本与效益的内涵、注重不同模型之间的比较、强调不确定性分析。结果中国研究现状，分析了当前面昨的问题，认为国内气候政策模型研究与中国在国际气候变化领域的地位仍不相称，强度要进一步加强研究队伍建设、扩展研究领域、跟踪国际研究前沿问题，以便为国家的气候谈判政策提供更有效的科学依据和决策支持。     

Exploring the Theoretical Interface of Climate Change and Resource Dependency: Application to the Vulnerability of Boreal Forest Regions

This paper addresses the combined effects of two sources of disturbance on the boreal forest – climate change and the economic relations of industrial forestry. It describes a theoretical blueprint constructed of concepts from the theory of dissipative structures (derived from the discipline of physical chemistry) and world-systems theory (derived from the discipline of sociology) into a proposed integrated theory pivoting on the concept of social vulnerability. The goal is to examine the key concepts of this theory – vulnerability, resilience and adaptive capacity – as elements of the complex systems perspective provided by dissipative structure principles. The focus on social vulnerability provides the means to establish the role of external economic linkages relevant to industrial forestry – the core/periphery relations of the world-system – as they influence the social vulnerability of the boreal forest SESs. These systems are posited as embedded peripheries, following world-system criteria, and as the focal scale of analysis within a larger hierarchically organized dissipative structure. The goal is to suggest and stimulate ideas for further discussion and exploration, motivated by the premise that any successful climate change mitigation efforts depend on having sound theoretical foundations on which to stand.     

Mitigation of the Impact of Tropical Cyclones in Northern Australia through Community Capacity Enhancement

Community mitigation of hazard impact requires hazard knowledge and preparedness on the part of the members of diverse and complex communities. Longitudinal research in the tropical cyclone prone north of Australia has gathered extensive datasets on community awareness, preparedness and knowledge, in order to contribute to education campaigns and mitigation strategies. Data have been used to identify issues of vulnerability to cyclones and capacity to deal with the hazard. This has been developed as a community vulnerability and capacity model that may be applied to diverse communities in order to assess levels of capability to mitigate and deal with the cyclone hazard. The model is presented here in a simplified form as its development is evolving and ongoing.     

基于集集地震的建筑物易损性统计分析

文章收集了台湾921集集地震的强地震动和震害调查资料，利用统计分析的方法，分析了建筑物破坏的数量、震中距、地表加速度之间的关系，对集集地震做了基于地震动参数的易损性初步分析。