德州一次沙尘天气过程成因及气溶胶粒子的输送路径分析

利用NCEP 1°×1°再分析资料分析了2017年5月4日浮尘和5月5日扬沙天气的成因。结果表明：3日20时—4日08时,蒙古气旋在有利的环流背景下迅速发展,配合冷锋在内蒙古中部和东部形成大范围的强沙尘天气;4日20时—5日08时沙尘通过高空气流输送到华北地区,在自身沉降和较强下沉气流的共同作用下,迅速沉降形成华北地区大范围的浮尘天气;5日08—14时由于西北路冷空气影响,横槽转竖,冷锋加速南下,将大量沙源地的沙尘输送到德州造成扬沙天气。通过HYSPLIT模式对本次过程中气团后向轨迹的模拟,证实以上两个阶段沙尘天气过程中的输送方式及路径。通过分析影响系统、物理量和气象要素发现,蒙古国、我国内蒙古中部沙源地天气系统强度、位置的变化直接影响沙尘天气的类型,高层气流变化与沙尘天气的类型有很好的对应关系。     

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."     

Influence of Uneven Trace Spacing on Rayleigh Wave Dispersion

Rayleigh wave dispersion signals are significant to underground investigation.Tradition-ally,uniformed trace spacing is employed in surface wave surveys.In some cases,however,uneven trace spacing is often encountered because of the limitations of the site condition.In order to study the influence of uneven trace spacing on the dispersion data construction of Rayleigh waves,data acquisi-tion is performed based on a 2.5D field layout with a linear array of geophones fixed and a mobile source.The observation d...     

Model-Experimental Analysis of Variational Assimilation of Dust Concentration with GRAPES Sand-Dust Numerical Forecasting System in a Sand-Dust Storm

为了提高沙尘模式的预报准确率,通过在区域天气数值模式GRAPEs（G10bal／RegionalAs-similationandPrEdictionSystem）的三维变分同化系统中增加沙尘浓度这一控制变量的方法建立了GRAPES-3DVAR-DusT沙尘同化系统。利用中国北方8个观测站提供的沙尘PM10数据和沙尘模式（GRAPEs-CUAcE／Dust系统）提供的背景场,对2008年2月29日-3月1日发生在中国北方的一次沙尘暴天气进行了控制试验和一次同化与间断同化的敏感性试验,结果表明：（1）引入该同化系统后,一次同化和间断同化试验模拟的地面沙尘浓度分布较未同化的控制试验结果更接近卫星监测,而间断同化的结果又好于一次同化;（2）一次同化试验与控制试验对单站PM10浓度的演变预报较差;（3）间断同化试验较准确地再现了单站PM10浓度的连续演变;（4）间断同化试验效果整体上优于一次同化试验。总体而言,引入沙尘同化系统在一定程度上可以提高沙尘模式对沙尘天气的预报准确率。     

Particle composition and size distributions in and around a deep-pit swine operation,Ames, IA

The contribution of emissions from agricultural facilities is rapidly becoming a major concern for local and regional air quality. Characterization of particle properties such as physical size distribution and chemical composition can be valuable in understanding the processes contributing to emissions and ultimate fate of particulate matter from agricultural facilities. A measurement campaign was conducted at an Iowa, deep-pit, three-barn swine finishing facility to characterize near-source ambient particulate matter. Size-specific mass concentrations were determined using minivol samplers, with additional size distribution information obtain using optical particle counters. Particulate composition was determined via ion chromatographic analysis of the collected filters. A thermal-CO₂ elemental/organic carbon analyzer measured particulate carbon. The chemical composition and size distribution of sub-micron particles were determined via real-time aerosol mass spectrometry. Primary particulate was not found to be a major emission from the examined facility, with filter-based impactor samples showing average near-source increases (~15–50 m) in ambient PM₁₀ of 5.8 ± 2.9 μg m⁻³ above background levels. PM_2.5 also showed contribution attributable to the facility (1.7 ± 1.1 μg m⁻³). Optical particle counter analysis of the numerical size distributions showed bimodal distributions for both the upwind and downwind conditions, with maximums around 2.5 μm and below the minimum quantified diameter of 0.3 μm. The distributions showed increased numbers of coarse particles (PM₁₀) during periods when wind transport came from the barns, but the differences were not statistically significant at the 95% confidence level. The PM₁₀ aerosols showed statistically increased concentrations of sulfate, nitrate, ammonium, calcium, organic carbon, and elemental carbon when the samplers were downwind from the pig barns. Organic carbon was the major constituent of the barn-impacted particulate matter in both sub-micron (54%) and coarse size (20%) ranges. The AMS PM₁ chemical speciation showed similar species increases, with the exception of and Ca⁺², the latter not quantified by the AMS.     

饱和土体中空沟对移动荷载被动隔振的 2.5D边界元法分析

根据饱和土Biot理论及移动荷载特性,采用积分变换方法,推导了半无限饱和土体频域-波数内的边界积分方程,讨论了2.5D边界积分方程中Cauchy的奇异性,并分析了空沟对移动荷载引起饱和土体振动的被动隔振效果。通过与已知文献结果比较,验证了算法的正确性。数值结果表明,采用2.5D BEM不仅可以解决具有复杂表面的移动荷载作用下动力响应问题,而且可极大减小计算工作量。对于饱和土体受高速移动荷载作用,空沟更能有效减小土体孔压、竖向位移的振幅;当荷载速度较小时,空沟对土体表面的水平向位移几乎不起衰减作用,甚至有放大效应。另外,随空沟距振源的距离增大,空沟能够更好阻隔土体表面波传播。     

中国省区间贸易隐含PM2.5的测算及其空间转移特征

针对不同区域实行“共同而又有区别”的污染治理政策是实现区域联防治理大气污染的有效措施,而随着省际贸易加强,难免导致污染物在不同区域间的转移。本文采用区域间投入产出模型,对中国30省区间省际贸易隐含PM_2.5进行核算。结果表明,省际贸易隐含PM_2.5约占总PM_2.5排放的1/3,经济危机使得省际贸易隐含PM_2.5量变小,但贸易隐含PM_2.5在以生产计算的PM_2.5排放中的作用在增大。东部省区的省际调出贸易隐含PM_2.5主要由最终消费部分导致,而中、西、东北省区则主要为中间投入部分导致,在控制贸易隐含排放时,需对不同调出类型省区采用不同的控制方法。省际调入贸易隐含PM_2.5主要由中间投入过程贸易隐含PM_2.5构成,越来越多的产品在不同省区间共同生产完成,区域联合治污显得尤为必要。东北、西部、中部省区由固定资本形成导致的省际贸易隐含PM_2.5比例要高于东部省区,可见政策导向也是造成贸易隐含排放的原因之一。需重点控制省际贸易隐含PM_2.5排放量较高建筑业、机械设备制造业和其他服务业。除河北、山东外,东部省区均为省际贸易隐含PM_2.5净调入省份,中、西部、东北省区中则多为省际贸易隐含PM_2.5净调出省份。经济危机使得省际间净贸易隐含PM_2.5的转移量变小,但并未改变其转移趋势。净调入省区需相应的补偿净调出省区,或对其进行技术转移。     

京津冀城市群大气污染的时空特征与影响因素解析

京津冀城市群是中国雾霾最严重的区域,在京津冀协同发展背景下,探究该地区大气污染的时空分布和影响因素具有重要意义。运用空间自相关分析和三种空间计量模型,分析了京津冀202个区县PM_2.5的时空分异特征,创新性地对自然与人文影响因素贡献及其空间溢出效应进行系统地甄别和量化。结果表明：2000-2014年来京津冀城市群PM_2.5浓度整体呈上升趋势,季节上呈秋冬高、春夏低,空间上呈东南高、西北低的特点,且城市建成区PM_2.5浓度比周围郊区和农村平均高10~20 μg/m³;2014年仅有13.9%的区县空气质量达标,PM_2.5浓度存在显著的空间集聚性与扩散性,城市间交互影响距离平均为200 km,邻近地区的PM_2.5每升高1%,将导致本地PM_2.5至少升高0.5%;社会经济内因对PM_2.5主要是正向影响,自然外因主要是负向影响;影响因素中对本地大气污染的直接效应贡献强度依次是：年均风速>年均气温>人口密度>地形起伏度>第二产业占比>能源消费>植被覆盖度,人均GDP、年降水量和相对湿度对本地PM_2.5没有显著影响;对邻近地区大气污染具有显著空间溢出效应的因素排序是：植被覆盖度>地形起伏度>能源消费>人口密度;对于自然和人文影响因素应分别采取针对性的适应策略和调控策略,加强区域间联防联控与合作治理,在城市群规划中注重环保规划与立法。     

应用纤维素示踪北京市PM2.5天然植被排放来源的研究

大气细粒子(PM_2.5)污染是全球尤其是我国许多城市的重要环境问题。利用示踪物质识别和估算大气颗粒物来源是公认的可靠技术,纤维素可以作为示踪物质表征一次颗粒物的天然植被排放来源。本文针对大气细粒子中纤维素含量低、全程序空白相对较高等难点,优化建立了纤维素酶水解、GOD-苯酚-四氨基安替比林测糖法,在我国首次应用于测定大气PM_2.5中纤维素的含量,估算天然植被排放源的贡献。方法检出限为0.26 μg/m³(纤维素),可以满足大气PM_2.5纤维素测定要求;而且有效地降低了空白,全程序空白值(36.5 μg葡萄糖)低于文献方法空白值(53.8 μg葡萄糖),使之更适合于PM_2.5的测定。使用本方法对2012年5月至6月采集的北京市大气PM_2.5样品进行分析,纤维素检出率为96%,纤维素的平均含量为(0.573±0.17) μg/m³,折合为天然植被排放量占PM_2.5质量浓度的1.37%±0.65%;天然植被排放源对有机碳的平均贡献率为4.4%,最大达到9.2%,反映出天然植被排放是北京市PM_2.5的重要来源之 一。本研究方法为我国城市大气颗粒物(包括总悬浮颗粒物、PM₁₀、PM_2.5等)来源识别提供了新的手段。