Temporal variations in aerosol composition at Lanzhou City,Northwestern China

Although Lanzhou is one of the most heavily polluted cities in China, the composition of its air pollutants have not yet been studied in detail. The data of four months on the concentrations and compositions of ions from daily air-filter samples in the winter and spring during 2007–2008 were analyzed to investigate temporal trends and their possible causes. The results indicate that mean concentrations of almost all the aerosol components are greater in winter than in spring due to stronger emissions in winter and weaker localized dispersion. Spring dust storms are the major cause of the highest peak PM10 concentrations recorded during the study period; however, these elevated levels were transient. Ion concentrations related to coal combustion show the greatest reduction from winter to spring, while the concentrations of strong crustal components show a less-pronounced reduction. Strong cycles in the levels of particulate matter (PM) and all ions are also observed during the winter months due to meteorological conditions. Depending on the season, nine different ions accounted for 20%–50% of the PM concentration. The particle size of polluting ions was constant at times of increasing PM concentrations (particularly during winter), whereas the particle size of crustal ions increased dramatically during spring dust storms. Local meteorological conditions (especially wind speed) have a strong influence on the levels of pollutants. Four dust storms were noted, including one during winter. In summary, the regional transport of desert dust from the Gobi can significantly affect air quality and the chemical composition of aerosols in Lanzhou. The dust storms can strongly increase concentration of crustal ions, which are characteristics of deserts in northwestern China. This observation is in agreement with back-trajectories, which show reduced levels of pollutant ions during dust storms. Data on nitrate:sulfate ratios indicate that stationary point sources are the main source of ions rather than mobile sources.     

中国古代牧业社会骨制品的初步考察:以新疆巴里坤石人子沟遗址为例

考古遗址出土骨制品的研究对于揭示古代社会的动物资源获取和利用、手工业生产、社会组织结构等问题具有重要意义。国内骨制品研究目前多集中在农业区域,这些研究为探讨新石器时代至青铜时代的动物使用及其与社会发展、早期国家形成的关系等问题作出了重要贡献。然而,针对牧业社会骨制品的考察十分缺乏。新疆哈密地区巴里坤草原分布有大量古代牧业文化遗址,石人子沟遗址（43°31'12.8"~43°34'28.9"N,93°13'44.8"~93°16'49.1"E）是其中一处青铜时代晚期至铁器时代早期的大型聚落。本文从动物考古学视角研究该遗址2006年至2011年发掘出土的426件骨制品。结果显示,石人子沟遗址骨制品的原料主要为以羊（Ovis aries/Capra hircus）、马（Equus caballus）为主的家养动物和以鹿（Cervidae）为主的野生动物,其中羊的比例最高（69.7%）,鹿（13.8%）、马（2.3%）次之,这与中原地区青铜时代农业文化遗址的骨制品多以牛为原料的情况明显不同。羊在骨制品原料中占绝对多数且大量使用羊距骨制品的现象是对石人子沟遗址以牧业为主的生业经济方式的直接反映。石人子沟遗址不同类型骨制品的制作各具特点,但整体表现出"省时省力"的特点,即对使用部位细致打磨,对非使用部位仅做简单处理。与中原地区商周时期大型制骨作坊规范化、规模化、产业化的骨器生产不同,石人子沟遗址未见专门的制骨场所,骨制品生产的操作链条也并不完整。遗址的骨制品生产可能是以家庭为单元进行的,产品的专业化、精细化程度也相对较低。该研究填补了我国古代牧业文化遗址出土骨制品动物考古学专门研究的空白,为进一步探究我国古代不同区域、不同生业经济基础下的制骨手工业面貌提供了重要资料。

     

Comparison of debris-flow volume and activity under different formation conditions

Debris flows frequently occurred in Wenchuan earthquake region from 2008 to 2010, resulting in great damage to localities and being a prolonged threat to reconstruction. Forty three events' data including debris-flow volume, sediment volume and watershed area are analyzed and compared with other debris-flow events in Eastern Italian Alps, burned areas in USA and in Taiwan. The analysis reveals that there is a strong empirical relationship between debris-flow volume and loose materials volume in the earthquake region. In addition, the relationship between debris-flow volume and watershed area in the earthquake region has a wider variation range than that in other three regions while the debris volume also appears to be larger than that in the other three regions, which implies the volume of debris flows with strong influence of earthquakes is larger than that with no such influence and it is hard to predict the post-quake volume only by the watershed area. The comparison of the maximal debris-flow erosion modulus in the Wenchuan region and in Taiwan indicates that debris flows will be very active in a short time after strong earthquake.     

中天山基底与塔里木克拉通的构造亲缘性

中天山基底与塔里木克拉通的构造亲缘性问题涉及中亚大地构造单元的划分,倍受学术界关注.在诸多学者的研究基础上,特别是塔里木北缘物质成分和年代学成果基础上,通过区域地质调查,对托克逊县干沟与和静县阿拉沟两地的前南华纪地层序列及其岩石组合进行了专门研究,并筛选出4件浅变质砂岩样品做碎屑锆石U-Pb测年研究,获得165组年龄数据.结果表明,发育在中天山地区的前南华纪地层序列、岩石组合、地层接触关系、沉积环境与塔里木北缘的基本一致,可比性好,揭示了二者之间密切的构造亲缘性.其Th/U比值密集分布在0.4～4.0,表明岩浆锆石占绝大多数.锆石U-Pb测年产生了4个年龄峰值,分别为950Ma、1 550Ma、1 920Ma和2 480Ma,表明中天山较好地保存了元古代的4次重大构造-岩浆活动信息.这些年龄峰值在塔里木陆块均有对应岩浆体的发育,也与塔里木周缘的前寒武纪年龄谱吻合,进一步佐证了中天山基底与塔里木克拉通曾经是一个统一块体的认识.结合区域构造分析,认为中天山陆块是在南华纪以来,逐渐从塔里木克拉通拉张裂离出来的;伴随早古生代天山洋的俯冲,一个奥陶纪-志留纪火山弧发育在这个裂离的中天山陆块之上.     

中国农业气象模式(CAMM1.0)构建与应用

为发展适宜中国区域农业种植特点的农业气象模式,基于国外作物生长模拟方法,通过模式机理过程改进或重构以及应用方式革新,建立了中国农业气象模式（Chinese AgroMeteorological Model version 1.0,CAMM1.0）。CAMM1.0利用平均温度和土壤水分改进了作物发育进程模式,利用土壤水分改进了作物叶片光合作用、干物质分配和叶面积扩展过程模式,通过蒸发比法扩展了作物蒸散过程模式;自主建立了基于发育进程的冬小麦株高、基于遥感信息的作物灌溉、遥感数据同化、作物长势与灾害评价等模式。基于互联网技术构造了实时运转平台,主要功能包括作物生长过程实时常规模拟与用户个性化定制模拟。CAMM1.0的部分子模式采用多种方法构造,便于多模式集成。CAMM1.0对作物发育进程、光合过程、株高的模拟效果较好,但对土壤水分变化过程的拟合略差,模拟产量略偏低。CAMM1.0评价淮河流域夏玉米年际干旱减弱而涝渍增加的趋势与实际基本相符。     

“93.5”黑风暴发展结构和不同模式分辨率的数值试验

1993年5月4～6日在我国西北部地区发生了一次“黑风暴”。用改进的MM1和高分辨PBL参数化及40 km细网格控制试验能基本上模拟出“93.5”黑风暴的结构和演变。模拟结果表明,黑风暴发展时段,在PBL内与一个中尺度气旋性强涡旋相伴,在对流层内与一个垂直涡柱相伴。这个伸展至对流层顶的涡柱下（上）半部是与低（高）空强烈辐合（辐散）入（外）流相伴的气旋（反气旋）性涡柱。该黑风暴结构不同于一般锋面结构,其主要判别是：界面坡度陡,θe水平梯度大,斜压性强,PBL内暖心明显。该暖心结构与下垫面剧烈热力强迫有关。不     

基于互联网搜索数据的甘肃省旅游客源地时空分析

传统的统计手段可以获得旅游城市或景点的游客量,而无法获得旅游客源地游客量,本文首先把互联网搜索数据与现实游客行为之间进行关联和映射,然后将搜索量最高关键词通过自由组合和非线性多项式拟合,发现3个词组合时与现实游客行为之间R²高达0.999,最后反演出2011-2014年中国(港澳台除外)各省、直辖市和自治区至甘肃省旅游的人数,进行甘肃省旅游客源地时空数据可视化、时空数据异常探测、时空过程分析等,帮助旅游部门了解游客的来源及去处、游客的出行规律和爱好偏向,做出有针对性的决策。     

一种用于海底类型聚类的新方法

By using sonar imaging, this paper presents a new algorithm for the clustering of seabed types based on the self-organizing feature maps （SOFM） neural network. The theory as well as data processing is studied in detail. Some valuable conclusions and suggestions are given     

Single-Link Cluster Method to Identify Foreshocks and Aftershocks

Based on Single-Link Cluster (SLC) analysis,a new method to identify the foreshocks andaftershocks of a strong shock from the earthquake catalogue and then to form a sequencecatalogue has been proposed in this paper.In the SLC frame,there are many chains formedby links with lengths shorter than or equal to the characteristic length Lc.It is defined thatwhen some of these chains connect with a strong shock,the seismic events on such chainsfirm a sequence with the strong shock.In this sequence,the strong shock is the main shock;the events preceding the main shock are foreshocks and those following the main shock areaftershocks.By using this method,the foreshocks and aftershocks associated with the M_s7.4Haicheng earthquake and with the strong shocks of M_s≥6.0 in the top area of Kunlun-AltunArc were identified and sequence catalogues for these strong shocks were set up.     

风廓线雷达估算大气返回信号功率方法研究

基于风廓线雷达大气返回信号功率谱中噪声电平的估算方法,统计分析了北京延庆对流层风廓线雷达（CFL-08）2006年10～12月的探测数据。对该频段风廓线雷达环境噪声的空间和时间变化进行了分析,观测期间环境噪声在5km以下随高度递减,10月的平均环境噪声大于11月、12月的平均分布。给出目前风廓线雷达用信噪比估算大气返回信号功率的两种方法,并对两种方法进行了环境噪声的剔除,经过修正后的大气返回信号功率输出结果趋于一致。