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’.     

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。     

贵州赤水宝元-元厚地区油气遥感信息分析

本文通过对赤水宝元－元厚地区地质背景的分析，研究影响油气遥感无价值信息的主要因素，确定排除油气遥感无价值信息的基本原则，从而决定油气遥感有用信息，并作出地质解释，说明油气遥感直接勘探是一种快速、经济、有效的方法。     

应用地球物理方法研究撞击坑

陨石的撞击作用使靶岩形成一个特殊的地球物理场，具有低密度、低电阻率、低速度、磁力异常等不同于周边的岩性。因此，可利用重力、电法、磁法、地震等地球物理方法探测撞击坑的形态特征和寻找新的冲击构造。     

云南热海热田中的碱金属元素

1982至1983年在云南腾冲一已知水热区及其毗邻约 60km² 范围内采集了131个土壤样品。样品分析结果表明锂和铷的异常能圈定两个已知水热区,且与若干已知热田地球化学指示元素的异常相当一致,从而进一步肯定了这一地区的开发前景。与此同时,对区内水样中的钠钾含量也进行了测定并做出解译。锂铷和已知地球化学指标之间的相关分析表明它们之间确存有某种内在联系,同时可看出盐湖与古地热系统之间的一些联系。最后得出结论:土壤中的锂铷可作为圈定热田的地球化学指标;地热系统不仅能作为能源资源而且也应视作矿产资源。     

气候变化与实施清洁发展机制的展望

本文第一部分介绍了《气候变化框架公约》的达成与主要内容，以及在柏林、日内瓦、京都与布宜诺斯艾利斯先后召开的４ 次缔约方会议的结果； 第二部分介绍了清洁发展机制（ＣＤＭ） 同《京都议定书》的其他灵活机制的异同，以及ＣＤＭ 的特点、方法学与技术问题； 第三部分分析了ＣＤＭ 的前景、影响其成功实施的因素、它可能提供的潜在机遇以及实施中的需求与供给；最后就ＣＤＭ 的实施作了展望。