2014年秋季长株潭城市群一次典型霾污染天气过程的气象特征及成因分析

利用长株潭地区地面空气质量监测资料、常规地面气象资料及NCEP再分析资料和MODIS火点监测资料,结合HYSPLIT4后向轨迹模式,对2014年10月1718日长株潭地区一次严重霾天气过程的空气污染特征和成因进行综合分析。研究表明,长株潭地区此次严重霾天气污染事件的主要污染物为PM2.5,安徽南部和江西西北部地区秸秆焚烧产生的颗粒物,经高空偏东北气流引导输送到长株潭地区,是这次大范围烟霾天气的主要来源。长株潭地区西部高空槽区宽广,槽前西南气流较为强盛,地面受均压场控制,水平风速弱,为严重霾污染天气的维持提供了有利的环流条件。中低层逆温和大气底层湿度的增加,使污染物粒子不断累积;近地面连续静（小）风和风向的频繁转变,不利于污染物粒子的水平扩散;中下层弱的下沉气流、较低的混合层高度有利于污染物的垂直累积,为此次重度霾污染天气的发展、加强提供了有利的气象条件。     

Factors controlling the seasonality of the Madden-Julian Oscillation

By analyzing observational data, previous studies have indicated that the tropical Madden-Julian Oscillation (MJO) is active during the boreal winter but relatively weak during the boreal summer. However, the factors that control seasonal MJO variation are not clear. To quantitatively understand the relative contributions of the occurrence frequency of enhanced MJO events and their averaged strength and lifespan to seasonal MJO amplitude, we defined the MJO events of 1979–2014 and analyzed their features in different seasons by using the Real-time Multivariate MJO (RMM) index and the newly proposed RMM-r index. The results indicate that the MJO events show a higher frequency of occurrence, a stronger intensity and a longer duration during the boreal winter (Dec.–Feb.) and spring (Mar.–May). However, the frequency, strength and lifespan of MJO events are all reduced during the boreal summer (Jun.–Aug.) and autumn (Sep.–Nov.). The enhanced MJO events in winter–spring also show a large ratio of variance for eastward to westward components. To elucidate how large-scale background fields affect seasonal MJO variation, a series of sensitivity experiments was conducted by using a 2.5-layer model that can simulate MJO-like features. It is found that the variation in low-level moisture (vertical wind shear) is the key large-scale factor affecting the seasonal variation in MJO strength (in propagation). In comparison with the summer–autumn seasons when the MJO is relatively weakened, the relatively abundant low-level moisture near the equator during boreal winter–spring may strengthen the development of MJO convection and circulation, whereas the relatively weak easterly shear (or the westerly shear anomaly) is conducive to the enhancement of an eastward-propagating MJO component.     

基于多元数据分析的我国PM2.5浓度及其主控因子的时空分布特征研究

基于2013~2016年空气质量监测台站资料,利用经验正交分解、功率谱分析、BP典型相关分析等多元数据分析方法解析了中国地区细颗粒物（PM2.5）主要模态的时空特征,并与排放源和气象场建立了相关关系,得到以下结论:中国地区PM2.5场存在两个主要模态,其中第一主模态为一致增加模态,强度中心位于西北地区东部—华北南部地区;其时间序列呈显著下降趋势。第二主模态主要表现为南北反向变化的偶极子型分布,其大值区分别位于华北中南部和长江中下游地区。其中,PM2.5第一模态可以看作平均态,主要受平均排放场和环流场及大地形的影响,在北方的表现更为显著。PM2.5第二模态可看作偏离平均场的一种变化态,在冬季更可能和冷空气活动有关。冷空气的强弱决定了污染累积的位置以及输送的方式,其作用是使得南方的污染明显偏离平均态,故第二主模态在南方的表现更为显著。本研究有效地利用了多元数据分析方法研究了我国大气污染的演变机理,可为进一步认清大气污染的形成规律提供科技支撑。     

Reductions of PM<Subscript>2.5</Subscript> in Beijing-Tianjin-Hebei urban agglomerations during the 2008 Olympic Games

The Atmospheric Environmental Monitoring Network successfully undertook the task of monitoring the atmospheric quality of Beijing and its surrounding area during the 2008 Olympics.The results of this monitoring show that high concentrations of PM2.5 pollution exhibited a regional pattern during the monitoring period(1 June-30 October 2008).The PM2.5 mass concentrations were 53 μg m 3,66 μg m 3,and 82 μg m 3 at the background site,in Beijing,and in the Beijing-Tianjin-Hebei urban agglomerations,respectively.The PM2.5 levels were lowest during the 2008 Olympic Games(8-24 August):35 μg m 3 at the background site,42 μg m 3 in Beijing and 57 μg m 3 in the region.These levels represent decreases of 49%,48%,and 56%,respectively,compared to the prophase mean concentration before the Olympic Games.Emission control measures contributed 62%-82% of the declines observed in Beijing,and meteorological conditions represented 18%-38%.The concentration of fine particles met the goals set for a "Green Olympics."     

水平层状非均质TI地层中仪器偏心情况下三维感应测井响应高效数值模拟与响应特征分析

本文针对中国石油集团测井有限公司(CPL)三维阵列感应测井仪器(Three Dimensional Induction Tool,TDIT)的真实结构与参数,利用2.5维数值模式匹配技术研究建立水平层状非均质TI地层中仪器偏心情况下三维感应测井响应的高效数值模拟算法.首先,利用2.5维数值模式匹配技术给出水平层状非均质TI模型中偏心磁流源并矢Green函数的半解析解.在此基础上,结合三维阵列感应测井仪器参数以及测量过程中出现的仪器偏心与旋转等实际情况,通过叠加原理推导出该仪器响应的有效计算公式.最后,通过数值模拟结果分析考察仪器偏心、仪器自旋角等参数对测井响应的影响以及变化特征,为多分量感应资料处理与解释提供理论基础.     

地面磁测资料反演与井中磁测联合找矿——以尕林格Ⅱ矿段为例

青海省尕林格铁多金属矿区第四系覆盖层近200 m.矿床以铁矿为主,铜、钴、铅锌多金属矿伴生,进行磁法勘探是最直接而有效的方法.通过对尕林格Ⅱ矿段的地面磁测资料分析,采用二度半反演方法,发现深部存在磁性体.经井中三分量磁测资料的处理和分析,为钻孔布设提供依据,指导钻探施工,在深部找矿方面取得了良好的地质效果.     

农牧交错带农田土壤风蚀PM10释放特征

粉尘释放是风蚀造成危害的一个重要过程。以农牧交错带沙区和非沙区农田土壤为研究对象,利用室内风洞模拟实验,实时监测了风蚀过程中释放的PM₁₀,分析了PM₁₀的动态变化特征,以深入认识土壤风蚀粉尘释放机理。结果表明：非沙区农田土壤风蚀强度远低于沙区农田,与风速呈指数函数关系;非沙区农田的土壤粉尘释放在不同风速下均以气流直接抬升模式为主,平均PM₁₀通量与风速呈线性函数关系,最大PM₁₀通量与风速呈幂函数关系;沙区农田的土壤粉尘释放在风速增大到一定程度后呈气流直接抬升和砂粒跃移冲击复合模式,最大PM₁₀通量增加不明显,但平均PM₁₀通量明显高于非沙区农田;对于沙区和非沙区农田而言,平均PM₁₀通量与风蚀速率呈对数函数关系。     

Drivers of Australian dust: a case study of frontal winds and dust dynamics in the lower lake Eyre basin

The roles of pre‐frontal, frontal and post‐frontal winds as the primary wind systems for dust entrainment and transport in Australia are well established. While the relevance of each system has been observed across different wind erosion events in central Australia, the entrainment of dust by all three winds during the passage of an individual front has not been demonstrated until now. Synoptic information, satellite aerosol and imagery, meteorological and dust concentration data are presented for a single case study erosion event in the lower Lake Eyre Basin. This event demonstrates variable dust transport in three different directions from one of the southern Hemisphere's most significant source regions, and the changing nature of the active dust pathways during the passage of a frontal system. While only a single dust event is considered, the findings show the complexity of mineral aerosol emission and transport patterns even within an individual dust outbreak. For the lower Lake Eyre Basin, this appreciation of pathway behaviour is significant for better understanding the role of aeolian inputs from the dominant Australian source to surrounding marine systems. In a wider context, the findings exhibit the detailed insights into major dust source dynamics that can be obtained from high resolution spatial and particularly temporal data, as used in combination. This work highlights the importance of adequately resolved data for the accurate determination of dust entrainment and transport patterns of major dust sources. Copyright © 2015 John Wiley & Sons, Ltd.     

乌鲁木齐霾天气PM10单颗粒物理化学特征

为了解乌鲁木齐冬季污染天气形成过程中大气颗粒物化学组分的变化,探讨霾天气快速形成的主要原因,应用扫描电镜/X射线能谱仪(SEM/EDX)对2013年2月乌鲁木齐东南郊一次典型霾天和正常天气所采集的大气颗粒物(PM₁₀)样品进行了微观形貌和化学组成的对比分析。结果表明:伴随着霾形成过程细粒子浓度呈现急剧上升趋势,PM_1.0/PM₁₀比值高达0.77。SEM/EDX观测显示,霾天形成前后,PM₁₀的形态结构和元素组成存在较明显的差异,霾天规则的石膏颗粒占规则颗粒的71.1%,明显高于正常天气,表明大气颗粒物的硫化现象比较普遍,大量硅铝酸盐飞灰说明采样点周边有较明显的燃煤源输送;二次无机颗粒组成主要为硫酸盐颗粒,由正常天气的16.1%增加到24.6%,高浓度硫酸盐与乌鲁木齐东南郊此次霾形成有密切的联系。