广西PM2.5时空分布特征及污染天气类型

研究区域ρ（PM_2.5）的时空分布特征和污染天气类型的关系是开展大气污染防治和空气质量预报预警的关键支撑技术之一.基于2015—2016年广西14个城市环境空气质量日监测数据和相关气象资料,分析了2015—2016年广西空气质量概况和污染的基本特征,采用EOF（经验正交函数）分析和后向轨迹聚类分析方法表征了广西ρ（PM_2.5）时空分布模态,统计了广西两年间24次区域范围（3个及以上连片城市）大气轻度及以上污染过程,分析了不同污染过程的天气类型和空气质量变化特点.结果表明:PM_2.5是广西大气污染首要污染物,ρ（PM_2.5）年均值呈北高南低的区域特征,月际变化基本呈正V字型分布;EOF分析和后向轨迹聚类分析显示,广西ρ（PM_2.5）的时空结构主要有3种模态,其方差贡献率分别为78.9%、5.7%和3.7%,基本反映了广西ρ（PM_2.5）变化的时空模态的主要特征,桂林和玉林两年间的后向轨迹聚类很好地解释了第二和第三模态的南北浓度和东西浓度异常反相位分布特征;广西14个城市两年间PM_2.5区域性污染天气类型主要有10种,其中污染天气类型中占比较大的是弱冷高压脊型（24.4%）、均压场型（20.2%）、高压后部型（16.1%）和高压后部配合西南暖低压型（8.5%）,是引发广西大范围大气污染的典型天气类型.研究显示,广西大气污染具有地域性、季节性和南北输送特征,污染过程的天气形势变化具有一定规律性.      

Global effects of extreme temperatures on wild bumblebees

Climate plays a key role in shaping population trends and determining the geographic distribution of species because of limits in species’ thermal tolerance. An evaluation of species tolerance to temperature change can therefore help predict their potential spatial shifts and population trends triggered by ongoing global warming. We assessed inter- and intraspecific variations in heat resistance in relation to body mass, local mean temperatures, and evolutionary relationships in 39 bumblebee species, a major group of pollinators in temperate and cold ecosystems, across 3 continents, 6 biomes, and 20 regions (2386 male specimens). Based on experimental bioassays, we measured the time before heat stupor of bumblebee males at a heatwave temperature of 40 °C. Interspecific variability was significant, in contrast to interpopulational variability, which was consistent with heat resistance being a species-specific trait. Moreover, cold-adapted species are much more sensitive to heat stress than temperate and Mediterranean species. Relative to their sensitivity to extreme temperatures, our results help explain recent population declines and range shifts in bumblebees following climate change.     

EFFECTS OF CONTROLLED DRAINAGE ON STORM EVENT HYDROLOGY IN A LOBLOLLY PINE PLANTATION1

ABSTRACT: A paired watershed approach was utilized to study the effects of three water management regimes on storm event hydrology in three experimental watersheds in a drained loblolly pine (Pinus taeda L.) plantation in eastern North Carolina. The regimes were: (1) conventional drainage, (2) controlled drainage (CD) to reduce outflows during spring fish recruitment, and (3) controlled drainage to reduce outflows and conserve water during the growing season. Data from two pit‐treatment years and three years of CD treatment with raised weirs at the watershed outlet are presented. CD treatment resulted in rises in water table elevations during the summer. But the rises were small and short‐lived due to increased evapotranspiration (ET) rates as compared to the spring treatment with lower ET demands. CD treatment had no effect on water tables deeper than 1.3 m. CD treatments, however, significantly (α= 0.05) reduced the stoning outflows for all events, and peak outflow rates for most of the events depending upon the outlet weir level. In some events, flows did not occur at all in watersheds with CD. When event outflows occurred, duration of the event was sharply reduced because of reduced effective ditch depth. Water table depth at the start of an event influenced the effect of CD treatment on storm event hydrology.     

城市区域大气环境与各天气状况下的辐射特征

以低纬高原城市昆明为研究对象，分析了各种天气状况下城市内，外不同波长辐射的分布特征，变化规律及其差异，得出１．造成城内外差异的主要原因午前是大气污染状况，而在污染程度较小的午后，则是天气状况；２．各波长辐射日总量对午前总量的分配率受大气环境和天气状况的影响，城内外差异十分显著；３．红外和紫外辐射的百分率值均大于大气上界的百分率值，而可见光则反之；各辐射百分率城内外差值午前午后显相反分布。     

突发性灾难重大事件后公众对心理服务的认知和需求

为分析突发性灾难重大事件发生后公众对心理服务的认知和需求现状,采用随机抽样的方法在全国范围内抽取458名群众作为被试,使用“突发性灾难重大事件后公众心理服务认知和需求”调查问卷进行调查。结果显示:①不同性别人群、不同年龄阶段人群对“突发性灾难重大事件后心理服务”的认知存在显著差异(X^2=9.82,p<0.05;X^2=33.99,p<0.05)。②不同年龄阶段的人群对民众开展心理服务的必要性态度存在显著差异(X^2=15.84,p<0.05)。不同文化程度人群、不同性别人群对突发性灾难重大事件后心理服务活动的参与意愿存在显著差异(X^2=7.20,p<0.05;X^2=6.78,p<0.05)。③不同文化程度人群对心理服务知识和技能需求存在显著差异(X^2=28.65,p<0.05),在接受心理服务场所的选择上也存在显著差异(X^2=16.44,p<0.05)。不同年龄阶段人群对接受心理服务场所的选择上存在显著差异(X^2=21.52,p<0.05)。分析结果显示:在遭受突发性灾难重大事件时,公众对心理服务的了解程度一般,但参与意愿和需求强烈,因此,国家和社会应加快社会心理服务体系的建设,促进公众的心理健康。     

中国二氧化硫污染的“稳健性”影响因素——基于空间面板数据EBA模型的实证分析

改革开放以来,中国的经济发展取得了举世瞩目的成就.然而,随着经济的快速增长,环境污染问题也日益凸显.本文采用2000—2012年中国30个省际的面板数据,利用环境库兹涅茨曲线(EKC)理论检验二氧化硫(SO2)污染与经济增长的关系及其空间溢出效应,进而引入极值边界模型(EBA模型)实证检验SO2污染的"稳健性"影响因素.结果表明:我国各省域SO2污染与经济增长存在EKC曲线假设的倒"U"型关系,并具有空间溢出效应;第二产业就业人口比重、出口占GDP的比重、能源效率、化石能源比重、工业污染治理完成投资与SO2排放量呈正向"稳健性"关系,产业结构升级与SO2排放量呈负向"稳健性"关系.最后根据实证结论提出相应的政策建议,为政府制定相应的SO2减排政策提供经验证据和决策参考.     

Dynamic failure assessment of an ammonia storage unit: A case study

Chemical Process Industries usually contain a diverse inventory of hazardous chemicals and complex systems required to perform process operations such as storage, separation, reaction, compression etc. The complex interactions between the equipment make them vulnerable to catastrophic accidents. Risk and failure assessment provide engineers with an intuitive tool for decision making in the operation of such plants. Abnormal events and near-miss situations occur regularly during the operation of a system. Accident Sequence Precursors (ASP) can be used to demonstrate the real-time operating condition of a plant. Dynamic Failure Assessment (DFA) methodology is based on Bayesian statistical methods incorporates ASP data to revise the generic failure probabilities of the systems during its operational lifetime.In this paper, DFA methodology is applied on an ammonia storage unit in a specialized chemical industry. Ammonia is stored in cold storage tanks as liquefied gas at atmospheric pressure. These tanks are susceptible to failures due to various abnormal conditions arising due process failures.Tank failures due to three such abnormal conditions are considered. Variation of the failure probability of the safety systems is demonstrated. The authors use ASP data collected from plant specific sources and safety expert judgement. The failure probabilities of some safety systems concerned show considerable deviation from the generic values. The method helps to locate the components which have undergone more degradation over the period and hence must be paid attention to. In addition, a Bayesian predictive model has been used to predict the number of abnormal events in the next time interval. The user-friendly and intuitive nature of the tool makes it appropriate for application in safety assessment reports in process industries.     

2012年-2013年常州市PM2.5空气污染气象条件及天气形势特征分析研究

利用2012年-2013年常州市大气监测资料、2009年-2013年NECP再分析气象资料和日降水资料,对近两年常州市空气污染特征及其与气象条件的关系进行分析.结果表明2013年常州市污染事件相比2012年具有发生频率高、持续时间长和程度重等特点.造成污染天气异常偏多的气象条件是有效降水日异常减少,反映区域混合型PM2.5污染的地面系统不利扩散特征在2013年表现突出,污染高发期地面均压场范围扩大,对流层整层有异常抑制上升作用.典型PM2.5污染个例分析表明重污染天气尺度形势特征主要体现在高压型和冷空气外部输送型,其次为低压和均压场型.     

西南技术工程研究所, 重庆 400039

目的建立敦煌地区温度、相对湿度和日温差的年极值拟合模型。方法根据当地气象站台温度和相对湿度日记时值数据,连续统计若干年的三要素年极值,采用极大似然法建立各要素年极值的Gumbel模型,同时讨论值域有界类气象因素极值再现期的定义域。结果给出了敦煌地区温度、相对湿度和日温差年极值的Gumbel模型参数。结论敦煌地区各气象因素Gumbel模型位置参数和尺度参数,温度极大值分别为35.193,1.072℃,温度极小值分别为-20.085,1.945℃,相对湿度极大值为95.254%,2.471%,相对湿度极小值为5.837%,1.505%,日温差极大值为20.676,0.777℃,日温差极小值为1.398,0.593℃;相对湿度极大值、相对湿度极小值和日温差极小值的再现期定义域分别为6.3,47和10年。