Quantified scenarios analysis of drivers and impacts of changing flood risk in England and Wales: 2030–2100

Flood risk to the economy, society and the environment reflects the cumulative effects of environmental and socio-economic change over decades. Long-term scenarios are therefore required in order to develop robust and sustainable flood risk management policies. Quantified national-scale flood risk analysis and expert appraisal of the mechanisms causing change in flood risk have been used to assess flood risk in England and Wales over the period 2030–2100. The assessment involved the use of socio-economic and climate change scenarios. The analysis predicts increasing flood risk unless current flood management policies, practices and investment levels are changed—up to 20-fold increase in economic risk by the 2080s in the scenario with highest economic growth. The increase is attributable to a combination of climate change (in particular increasing precipitation and relative sea level rise in parts of the UK) and increasing socio-economic vulnerability, particularly in terms of household/industrial contents and infrastructure vulnerability. The policy implications of these findings are discussed.     

The humanitarian response costs of climate change

This research attempts to improve understanding of how climate change may affect international humanitarian spending, using existing international databases that track disaster occurrence and humanitarian costs. A range of potential impact scenarios is developed employing four distinct methodological approaches. The findings indicate that climate change will have a significant impact on humanitarian costs and the increase could range from a 32 per cent increase (taking into account only changes in frequency of disasters) to upwards of a 1,600 per cent increase when other criteria, such as intensity, are also taken into account. The paper further highlights that extreme weather events do not occur in isolation and the increasing interconnectedness of world economic and political systems has made disasters more complex and destructive. It makes a number of recommendations, including the need for more rigorous and systematic collection of disaster-related data and more constructive interaction between the humanitarian and climate change communities on future research, planning and action.     

Mountain inhabitants’ perspectives on climate change,and its impacts and adaptation based on temporal and spatial characteristics analysis: a case study of Mt. Yulong Snow,Southeastern Tibetan Plateau

Based on the results of questionnaires issued to 202 local residents in the Mount Yulong Snow region, southeastern Tibetan Plateau, this study analyzes mountain residents’ perspectives on climate change and its impacts, their strategies to adapt to climate change impacts, including their willingness or otherwise to become ecological migrants, and some of the factors that influence their perceptions. Overall, local perception of climate change and its impacts corresponds to the patterns of observed climate change revealed by climate records. The intensity of climate change perception shows a highly significant correlation with residents’ age and villages’ elevation gradient. Most respondents did not believe that climate change affected crop growing and their yields, but the number of crop insect pests was thought to be increasing slightly and the crop growth period to be extending. Nearly all respondents believed that climate change seriously affects the mountain tourism economy, and their way of life and spiritual world. Persistent drought in recent years has forced mountain dwellers to adjust industrial structure, save water in the agricultural economy, participate in mountain tourism and work outside the home in order to adapt to climate change impacts and supplement their meager farm incomes. Additionally, residents expect to receive government compensation and relief to mitigate natural disaster damage.     

近50年湘江流域干湿气候变化若干特点

采用M-K突变、小波分析、空间变异系数、经验正交函数分解法（EOF）和旋转经验正交函数分解法（REOF）等方法,对近48年来湘江流域40个测站干湿指数（Z指数）进行了分析。研究表明：湘江流域1960年代前期和1980年代为干旱期,1990年代为湿润期。1980年代末有向湿润转变趋势,2003年后又开始向干旱转变。湘江流域干湿的年际变化较小,降水相对稳定,存在3年、6年和10年和21年4个特征时间尺度,且未来几年湘江流域将仍处于干旱期。湘江流域干湿变化具有很好的主体一致性,依据空间异常类型可分为南部、中部、北部和西南部4个区域。     

黄河断流对全球气候变化的响应

全球气候的异常变化导致了我国北方趋于干暖化 ,出现黄河断流现象 ,并成为我国一个严重的环境问题。黄河断流在历史时期就已存在 ,并非现在才出现。由于全球气候的异常变化 ,整个黄河流域变得干暖 ,降水量减少并集中分布在夏季 ,且多以暴雨形式出现 ;蒸发量因干旱强度的增大而增大 ;水土流失使河床淤高 ,增加了河水的下渗量和蒸发量 ,使中下游地区的水流无法汇入到黄河干流 ,最终造成断流。黄河断流是该河流对全球气候变化的响应 ,是全球气候异常变化的必然结果。为了解决黄河断流问题 ,可以采取全流域人工降雨、下游低洼地区蓄水以及南水北调中线工程等有效措施。     

河南省春季降水与温度变化的时空分布——基于地理信息系统的分析

春季的气候条件异常一直是制约河南省小麦生产的瓶颈之一,春旱作为河南省主要的气象灾害,严重影响了小麦的生长。近几十年来,极端天气事件随着全球气候变暖的加快而越发频繁。春季干旱发生的主要因子降水和温度的变异性显著变大。基于GIS及和河南省30年的气候整编资料,对河南省春季降水、温度及降水温度比的变化趋势及时空变化分布进行了研究。结果表明:豫南春季降水减少最为严重(南阳盆地除外),豫中次之,豫北春季降水稍有增加;从温度的变化分布来看,河南全省春季温度都呈上升趋势,其中,豫南的信阳、驻马店,豫西北的济源、焦作、洛阳、郑州及平顶山地区温度上升趋势较大,南阳盆地、豫东平原及豫北平原地带温度变化相对较小;反应春季气候异常的降水温度比豫南为负向变化最大,豫北为正向变化最大,空间分布与春季降水基本吻合。综合分析说明未来河南地区的气候变化将会更加不稳定。     

Probabilistic cost‐benefit analysis of disaster risk management in a development context

Limited studies have shown that disaster risk management (DRM) can be cost‐efficient in a development context. Cost–benefit analysis (CBA) is an evaluation tool to analyse economic efficiency. This research introduces quantitative, stochastic CBA frameworks and applies them in case studies of flood and drought risk reduction in India and Pakistan, while also incorporating projected climate change impacts. DRM interventions are shown to be economically efficient, with integrated approaches more cost‐effective and robust than singular interventions. The paper highlights that CBA can be a useful tool if certain issues are considered properly, including: complexities in estimating risk; data dependency of results; negative effects of interventions; and distributional aspects. The design and process of CBA must take into account specific objectives, available information, resources, and the perceptions and needs of stakeholders as transparently as possible. Intervention design and uncertainties should be qualified through dialogue, indicating that process is as important as numerical results.     

全球变暖与中国旱涝灾害大势的初步研究

旱涝灾害受气候变化的制约，还深受人类活动的影响。本研究一方面用历史类比方法研究近５００年我国历史冷朝时期的旱涝分布特征，另一方面分析人类活动，特别是城市建设发展对旱涝灾害的影响。最后将两者叠加，勾划出全球变化和未来社会经济形势下我国旱涝灾害分布大势。结果显示：在未来稳定暖的时期，长江中下游、江南、华南及嘉陵江上游地区易涝，其中以东南沿海为甚；黄淮、华北、环渤海湾地区易旱，其中以黄淮为甚。     

一些景观树对灾害天气事件的非对称响应

2004-2008年日本山口市的气候呈现出明显变化和波动的特点,突出表现在2004、2006和2007年。夏季极端高温和强台风伴随着无雨和持续的干旱等类似的灾害天气事件诱发了许多乔灌木景观树明显的可视被害症状。用压力室法对北美枫香树叶的观测表明,迎风面和被风面之间叶水势的差异来自于迎风面的叶、枝和树干对被风面的遮挡作用。因为台风或其他灾害天气事件持续地单向袭击树冠的一侧,山口市的一些景观树种迎风面和被风面之间表现出明显的叶面积、树冠面积和SPAD值的差别。灾害天气事件袭击期间的自我遮挡和灾后恢复期间的不平衡生长成为山口市景观树木偏冠的两个主要起因。许多木本植物从末端到基部的脱水特性似乎是它们响应灾害天气事件的一种重要的机制。修枝可以人为地削减蒸腾表面积以维持植株水分平衡,这使它成为一种修复被害树木的重要方式。     

基于标准化降水蒸散指数的华南干旱趋势研究

最近几年华南地区干旱频发,为探讨该地区的干旱趋势,用标准化降水蒸散指数(SPEI)和1961-2010年华南地区具有代表性的50个站点的月降水及月平均气温资料,分析了该地区近50年来的干旱趋势、干旱空间分布、极端干旱事件发生频次和干旱持续时间。结果表明,华南地区普遍存在干旱事实,最近10年是干旱最严重的10年,Mann-Kendall检验表明该地区平均SPEI指数从1998年开始突变;干旱化最严重的区域是海南岛、广西南部和西部地区,广东的干旱化趋势最轻。20世纪70年代干旱和极端干旱事件较少,其后明显增多,干旱持续时间也有所延长。由于该地区降水呈现弱增加趋势而温度升高显著,因此推测温度升高导致蒸散增加可能是华南地区干旱化的主要原因。另外,降水频次的减少和集中也是导致近来极端干旱事件增多的原因之一。SPEI指数较好地体现了气候变暖导致的干旱化趋势。     

气候变化与自然灾害

气候变化与自然灾害是当今科学研究的两大热点，两者之间在一定程度上具有相关性，但目前要确切地定量计算气候变化对自然灾害的强度和出现频率的影响还很困难。本文在分析气候变化与自然灾害关系的基础上，研究了气候变化对我国自然灾害的影响。研究结果显示：１．在千年尺度上，长江流域的大旱和气候变冷成正相关，而长江流域的大涝以及黄河流域的大旱和大涝与气候冷暖过渡期成正相关；２．在百年尽度上，近１０４２年来，共出现２８１次全国性大旱和大涝，平均每百年出现２７次，在地域分布上以南涝北旱为主；３．就百年至千年尺度的气候变化对自然灾害的影响而言，气候冷冷组合期（１３０１～１９００）易发生全国性大涝，而冷暖组合期（９５０～１３００年，１９０１～１９９１年）易发生全国性大旱。总的来说，冷冷组合期的大旱大涝发生频率明显大于暖期，但不同地区有差异；４．在其它影响方面，台风、地震与海啸灾害在冷暖组合期（２０世纪）均有比冷冷组合期（１４和１９世纪）多的趋势。因此，气候变暖将使防灾任务更加艰巨。     

Migration as an adaptive strategy to climate variability: a study of the Tonga‐speaking people of Southern Zambia

There is increasing consensus that the effects of extreme weather conditions in the form of drought, flooding and extreme temperature will have increasingly devastating impacts on those who depend on climate‐sensitive resources and ecosystems for their livelihoods. The most affected will be the poor in developing countries who have a low adaptive capacity to climate change due to high poverty levels. Despite these projections, there are, to date, insufficient empirical studies linking the relationship between climate change and migration, particularly in the context of southern Africa. Using field‐based data collected from two study locations in Zambia, this paper examines the complex relationship between extreme weather events and population movement. It is envisaged that the findings presented in this paper will contribute to current discussions on the complex relationship between extreme weather conditions and population movement specifically in the context of sub‐Saharan Africa and other developing countries.     

基于APSIM模型的春玉米生育期旱灾损失敏感性定量分析

作物不同生育期旱灾损失敏感性研究对于提高农业干旱监测准确率、采取合理的农业抗旱减灾措施等有重要意义。干旱发生时,农业用水被压缩,充分利用当前可用灌溉水量以取得较好的作物产量效益是农业抗旱减灾中的重点。目前已有研究大多从水分胁迫试验出发,分析不同干旱胁迫对作物产量的影响,定性分析作物各生育期旱灾损失敏感性。由于农田试验样本有限,无法从统计手段定量研究作物旱灾损失敏感性。该文利用作物模型模拟的方法,基于历史数据设置干旱情景,模拟春玉米生长,研究不同生育期干旱胁迫与产量关系。选取典型年,通过历史气象数据替换典型年不同作物生育期同期气象数据的方法,构造典型年不同生育期干旱情景,驱动作物模型,模拟春玉米生长过程及产量。选用标准化降水指数(SPI)识别干旱程度,建立不同生育期SPI与产量之间定量统计关系,利用SPI变化所引起的产量变化率构建旱灾损失敏感性指标,定量评估春玉米不同生育期旱灾损失敏感性。结果表明:(1)不同生育期阶段发生不同程度干旱对产量的影响差异较大。其中拔节-抽雄、开花-吐丝旱灾损失敏感性较大,播种-七叶以及乳熟-成熟阶段敏感性较小。在典型正常年景下,春玉米播种-七叶、拔节-抽雄、开花-吐丝以及乳熟-成熟阶段的旱灾损失敏感性指数分别为90.5、804.7、772.5和401.9。(2)不同典型年水平下,春玉米旱灾损失敏感性差异明显,其中典型干旱年各生育期阶段旱灾损失敏感性最大,典型丰水年各生育期阶段旱灾损失敏感性最小;典型干旱年、正常年和丰水年春玉米生育期平均旱灾损失敏感性指数分别为862.7、518.9和35.2。(3)典型丰水年景下,即使是抽雄、开花-吐丝期春玉米产量形成关键阶段发生严重干旱,春玉米产量影响较小,表明春玉米单个生育期受旱,相邻生育期水分充足时,产量受到明显的水分补偿作用。     

辽宁气候变化及若干气象灾害的事实分析

利用辽宁省1961~2005年39个气象观测站的常规地面观测资料,采用趋势分析等统计方法,分析了辽宁省近45年的气候变化特征。采用沙道夫干湿指数分析了辽宁省近45年的旱涝变化趋势;同时研究了辽宁省夏季低温冷害和沙尘天气的变化。结果表明,近45年来辽宁气温升高、降水减少,气候向暖干化方向发展。在气候变暖背景下,近45年来辽宁的干旱有增加趋势、洪涝减少,夏季低温冷害明显减少,沙尘日数减少。     

我国农业水旱灾害的时间分布及重灾年景趋势预测

分析了我国 1970～ 1999年农业水旱灾害的时间分布特征。分析结果表明 :在研究时段内 ,我国农业自然灾害总体上呈增长态势。该时段可划分为两个明显的阶段 :80年代中期以前 ,总灾、水灾及旱灾对农业生产的危害较轻 ;80年代中期之后 ,呈现出影响范围广、损失增大的趋势 ,重灾年份明显增加。旱灾和水灾是威胁我国农业生产最为严重的自然灾害 ,尤以旱灾为甚。我国农业遭受旱灾威胁的范围多年基本不变 ,而旱灾受灾率波动明显 ,成灾率逐年增长 ,这与近几年农田水利设施建设缓慢、灌溉能力降低有关 ;水灾受灾率和成灾率具有特别显著的同步特点 ,表明水灾致灾能力强 ,一旦发生 ,极易成灾 ,水灾危害加剧与防洪、抗洪能力低下及生态环境恶化有关。各灾种的受灾率和成灾率呈正相关关系 ,表明我国农业生产系统的抗灾能力总体上较弱。　　本文还用灰色系统理论的建模方法 ,建立了农业总受灾率 -总成灾率、水灾受灾率 -成灾率、旱灾受灾率 -成灾率的重灾年景灰色灾变GM(1,1)预测模型 ,对未来 10年我国农业灾害趋势进行了预测分析。灰色预测结果表明 ,2 0 10年之前 ,除 2 0 0 3,2 0 0 6年水旱灾害危害较小外 ,其它年份均为灾情严重年份 ,其受灾率和成灾率均高于近 30年的平均水平。其中 ,2 0 0 4 ,2 0 0 7年将为水灾重     

DRYING UP OF THE YELLOW RIVER:A RESPONSE TO GLOBAL CLIMATIC CHANGE

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Characterizing the urban heat island in current and future climates in New Jersey

Climate change caused by increased anthropogenic emissions of carbon dioxide (CO₂) and other greenhouse gases is a long-term climate hazard with the potential to alter the intensity, temporal pattern, and spatial extent of the urban heat island (UHI) in metropolitan regions. Particular meteorological conditions—including high temperature, low cloud cover, and low average wind speed—tend to intensify the heat island effect. Analyses of existing archived climate data for the vicinities of Newark and Camden, New Jersey indicate urban to suburban/rural temperature differences over the previous half-century. Surface temperatures derived from a Landsat thermal image for each site were also analyzed for spatial patterns of heat islands. Potential interactions between the UHI effect and projected changes in temperature, wind speed, and cloud cover are then examined under a range of climate change scenarios, encompassing different greenhouse gas emissions trajectories. The scenarios include those utilized in the Metropolitan East Coast Regional Assessment of Climate Variability and Change and the A2 and B2 scenarios of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES).

The UHI effect was detected in Newark and Camden in both satellite surface-temperature and meteorological station airtemperature records. The average difference in urban—nonurban minimum temperatures was 3.0 °C for the Newark area and 1.5 °C for Camden. Extrapolation of current trends and the selected global climate models (GCMs) project that temperatures in the case study areas will continue to warm in the current century, as they have over the past half-century. An initial analysis of global climate scenarios shows that wind speed may decline, and that cloud cover may increase in the coming decades. These generally small countervailing tendencies suggest that urban—nonurban temperature differences may be maintained under climate change.

Overall warmer conditions throughout the year may extend the spatial and temporal dimensions of the urban-suburban heat complex. The incidence of heat-related morbidity and mortality are likely to increase with interactions between the increased frequency and duration of heat waves and the UHI effect. Camden and Newark will likely be subjected to higher temperatures, and areas experiencing UHI-like conditions and temperature extremes will expand. Thus, urban heat island-related hazard potential is likely to increase in a warmer climate.     

陕西未来50年区域旱涝气候预测研究

用陕西省近526a的旱涝等级资料,根据超低频气候振动理论和尺度对应原理,通过旱涝气候对天体物理、太阳活动等周期,特别是ENSO对天体物理显著敏感的周期响应关系的物理统计分析,选取周期概率显著的周期,进行外延叠加集成预测,给出了未来50a陕西省不同区域旱涝趋势的预测结果．     

农业旱灾中人为因素的定量分析 --以秀山县为例

以重庆秀山县为研究对象。对建国后50年中各年代人为因素对农业旱灾的作用进行了比较，探讨了其成因及变化趋势。研究表明，在20世纪50年代和60年代，秀山县由于生态破坏、水利设施不足和不合理的政策导向等，人为因素起着加剧旱灾灾情的作用，而在70年代至90年代。由于农业基础设施投入的加大、抗旱政策的制定等，人为因素开始起着越来越强的缓解灾情的作用。     

公众灾害风险可接受性与避灾意愿的初探——以川渝地区旱灾风险为例

在综述前人研究的基础上,以川渝地区旱灾为例,通过实地调查与访谈,从公众可接受的旱灾损失与频率、假定旱灾风险情景下的避险意愿等角度,对公众旱灾风险可接受性进行了初步探讨。结果表明,公众合理可接受的旱灾损失与频率分别在26.5%~52.8%与32.0%~64.3%区间范围内;并以一般旱灾、严重旱灾风险情景为限制线,确定了公众合理可接受风险区域;随着灾害损失风险增加,公众规避风险投资意愿呈现出中间高两头低的趋势,当灾害损失达到约50%~70%时,公众避险投资意愿达到最高,意愿避险投资占可能损失的比重约为62%。鉴于川渝地区的旱灾形势,今后旱灾风险管理的关键,一是加强对旱灾的监测与预警预报;二是完善旱灾风险的常规化管理,发展高效灌溉农业,充分利用客水资源,完善提高现有农田水网建设;三是积极探索公众-企业-政府多方共同参与的高效风险管理模式。