Presolar grains in the CM2 chondrite Sutter's Mill

The Sutter's Mill (SM) carbonaceous chondrite is a regolith breccia, composed predominantly of CM2 clasts with varying degrees of aqueous alteration and thermal metamorphism. An investigation of presolar grains in four Sutter's Mill sections, SM43, SM51, SM2‐4, and SM18, was carried out using NanoSIMS ion mapping technique. A total of 37 C‐anomalous grains and one O‐anomalous grain have been identified, indicating an abundance of 63 ppm for presolar C‐anomalous grains and 2 ppm for presolar oxides. Thirty‐one silicon carbide (SiC), five carbonaceous grains, and one Al‐oxide (Al₂O₃) were confirmed based on their elemental compositions determined by C‐N‐Si and O‐Si‐Mg‐Al isotopic measurements. The overall abundance of SiC grains in Sutter's Mill (55 ppm) is consistent with those in other CM chondrites. The absence of presolar silicates in Sutter's Mill suggests that they were destroyed by aqueous alteration on the parent asteroid. Furthermore, SM2‐4 shows heterogeneous distributions of presolar SiC grains (12–54 ppm) in different matrix areas, indicating that the fine‐grained matrix clasts come from different sources, with various thermal histories, in the solar nebula.     

南极两站X/L双频段遥感接收系统及研究应用

卫星遥感是南极研究的重要工具。2009年底和2010年初,我国南极长城、中山站的X/L双频段卫星遥感接收系统分别建成并投入使用,此系统可接收美国NASA的Terra和Aqua卫星的MODIS数据、NOAA系列卫星以及我国风云一号卫星的数据,实现了对南极地区天气、积雪、海冰以及南大洋海洋生态等的实时监测,并将在我国多个学科领域的南极研究中发挥重要作用。本文在说明了此卫星遥感接收系统的组成结构、运行方式和数据产品种类后,对此系统的使用情况做了一些介绍,对将使用此系统数据开展南极下降风、南极冰雪覆盖及反照率、南极大气和海洋数值模式等各领域的研究工作进行了初步探讨。     

Silicon limitation on primary production and its destiny in Jiaozhou Bay, China——Ⅳ：Study on cross-bay transect from estuary to ocean

The authors analyzed the data collected in the Ecological Station Jiaozhou Bay from May 1991 to November 1994, including 12 seasonal investigations, to determine the characteristics, dynamic cycles and variation trends of the silicate in the bay. The results indicated that the rivers around Jiaozhou Bay provided abundant supply of silicate to the bay. The silicate concentration there depended on river flow variation. The horizontal variation of silicate concentration on the transect showed that the silicate concentration decreased with distance from shorelines. The vertical variation of it showed that silicate sank and deposited on the sea bottom by phytoplankton uptake and death, and zooplankton excretion. In this way, silicon would endlessly be transferred from terrestrial sources to the sea bottom. The silicon took up by phytoplankton and by other biogeochemical processes led to insufficient silicon supply for phytoplankton growth. In this paper, a 2D dynamic model of river flow versus silicate concentration was established by which silicate concentrations of 0.028–0.062 μmol/L in seawater was yielded by inputting certain seasonal unit river flows (m³/s), or in other words, the silicate supply rate; and when the unit river flow was set to zero, meaning no river input, the silicate concentrations were between 0.05–0.69 μmol/L in the bay. In terms of the silicate supply rate, Jiaozhou Bay was divided into three parts. The division shows a given river flow could generate several different silicon levels in corresponding regions, so as to the silicon-limitation levels to the phytoplankton in these regions. Another dynamic model of river flow versus primary production was set up by which the phytoplankton primary production of 5.21–15.55 (mgC/m²·d)/(m³/s) were obtained in our case at unit river flow values via silicate concentration or primary production conversion rate. Similarly, the values of primary production of 121.98–195.33 (mgC/m²·d) were achieved at zero unit river flow condition. A primary production conversion rate reflects the sensitivity to silicon depletion so as to different phytoplankton primary production and silicon requirements by different phytoplankton assemblages in different marine areas. In addition, the authors differentiated two equations (Eqs. 1 and 2) in the models to obtain the river flow variation that determines the silicate concentration variation, and in turn, the variation of primary production. These results proved further that nutrient silicon is a limiting factor for phytoplankton growth. This study was funded by NSFC (No. 40036010), and the Director's Fund of the Beihai Sea Monitoring Center, the State Oceanic Administration.     

Preliminary Study on Applicability of Microsatellite DNA Primers from Parasite Protozoa Trypanosoma cruzi in Free-living Protozoa

1　Introduction　Generallyknownasacodominantgeneticmarker ,microsatellitehasbeenwidelyusedinstudiesonpopu lationgenetics,high resolutiongenotyping ,genemap ping ,evolution ,linkageanalysis ,conservationbiology ,behaviouralecology ,relationsbetweenparasite…     

东北地区大气污染物源排放时空特征：基于国内外清单的对比分析

基于国内外4类常用的污染源排放清单数据(EDGAR:全球大气研究排放数据库;CEDS:社区排放数据系统;MIX:亚洲排放清单;PKU-FUEL:全球燃料排放数据),对东北区域5类人为排放源(工业源、能源、交通运输源、生活民用源和农业源)的8种污染物(PM_2.5、PM₁₀、SO₂、NO_x、NMVOCs、NH₃、OC和BC)从排放总量、来源贡献和时空分布特征等方面进行对比分析。结果表明:东北污染物排放主要以SO₂、NO_x和NMVOCs为主,工业、能源和交通运输为主要贡献源;PM_2.5和PM₁₀主要来自生活民用源和工业源,贡献率前者大于后者。辽宁省污染物(除NH₃外)排放最大,其次为黑龙江省、吉林省和内蒙古东四盟市,冬季排放强度明显高于其他季节。NH₃主要来自农业源,排放峰值发生在5～7月;各清单间排放总量和来源贡献差异明显,EDGAR和PKU清单对NH...     

鄱阳湖沙地沉积物粒度特征及其影响因素北大核心CSCD

鄱阳湖沙地是亚热带湿润区典型风沙化土地,土地沙化问题严峻。鄱阳湖沙地研究多在小范围开展,研究意义有限,应在多处进行沙地粒度比对研究。选取庐山市、都昌县、永修县和南昌市新建区等沙地样品57个,分析其粒度特征。结果表明:(1)鄱阳湖沙地主要由中沙、细沙和粗沙组成,三者总含量超90%;Mz均值为1.79Φ,分选较差,呈正偏和尖锐分布;(2)鄱阳湖沙地不同土地类型沉积物表层(0-5 cm)与20-40 cm深度粒度特征存在一定差异,固定沙丘、半固定沙丘、流动沙丘和河滩表层比20-40 cm深度粒径大,但流动沙丘和湿地草滩表层分选优于20-40 cm深度;湿地草滩和河滩优势粒级含量和粒度参数有别于沙丘;(3)鄱阳湖沙地固定沙丘、半固定沙丘和流动沙丘为风成沉积;河滩以河流作用为主,风蚀为辅;湿地草滩是在风力和水动力共同作用下形成的。鄱阳湖沙地沿盛行风向从南到北S、SK、K依次减小,风沙运动多以两跳一悬式为主,以就地起沙为主,河滩湖滩作为补充。     

Recognition of Significant Surface Soil Geochemical Anomalies Via Weighted 3D Shortest-Distance Field of Subsurface Orebodies: A Case Study in the Hongtoushan Copper Mine,NE China

Natural Resources Research - Quantitative prediction of concealed mineralization is always confronted with difficulties in comprehensive analysis between 2D and 3D data and between qualitative and...     

Spatial distribution of large-scale landslides induced by the 5.12 Wenchuan Earthquake

The 5.12 Wenchuan Earthquake in 2008 induced hundreds of large-scale landslides. This paper systematically analyzes 112 large-scale landslides (surface area > 50000 m2), which were identified by interpretation of remote sensing imagery and field investigations. The analysis suggests that the distribution of large-scale landslides is affected by the following four factors: (a) distance effect: 80% of studied large-scale landslides are located within a distance of 5 km from the seismic faults. The farther the distance to the faults, the lower the number of large-scale landslides; (b) locked segment effect: the large-scale landslides are mainly located in five concentration zones closely related with the crossing, staggering and transfer sections between one seismic fault section and the next one, as well as the end of the NE fault section. The zone with the highest concentration was the Hongbai-Chaping segment, where a great number of large-scale landslides including the two largest landslides were located. The second highest concentration of large-scale landslides was observed in the Nanba-Donghekou segment at the end of NE fault, where the Donghekou landslide and the Woqian landslide occurred; (c) Hanging wall effect: about 70% of the large-scale landslides occurred on the hanging wall of the seismic faults; and (d) direction effect: in valleys perpendicular to the seismic faults, the density of large-scale landslides on the slopes facing the seismic wave is obviously higher than that on the slopes dipping in the same direction as the direction of propagation of the seismic wave. Meanwhile, it is found that the sliding and moving directions of large-scale landslides are related to the staggering direction of the faults in each section. In Qingchuan County where the main fault activity was horizontal twisting and staggering, a considerable number of landslides showed the feature of sliding and moving in NE direction which coincides with the staggering direction of the seismic faults.     

1960-2012年西藏林芝气温和降水变化

基于1960-2012年日平均气温和日降水量数据,利用小波分析和Mann-Kendall突变分析方法,分析了西藏林芝气温和降水的变化特征。结果表明：林芝年平均气温增长速率0.028℃·a^-1;年平均气温受3~4 a尺度波动的影响,无明显主周期;年平均气温序列有3个突变点,分别是1972-1973年、1975-1976年和1977-1978年。年降水量增长率1.218 mm·a^-1;年降水量受4 a、10 a和20 a尺度波动的影响;有两个主周期,分别为2 a、19 a;年降水量序列有4个突变点,分别为1960-1961年、1965-1966年、1977-1978年、1982-1983年。