合肥盆地三尖铺组^40Ar—^39Ar同位素年代地层学研究

合肥盆地南缘中生代红层层序及时代,由于缺乏可靠的化石依据,曾几经变动人为因素很大。根据三尖铺组红层中泥炭在沉积或成岩作用条件下形成的伊利石之＾４０Ａｒ－＾３９Ａｒ定年,其坪年龄为１５７．７￣１５９．９５Ｍａ,等时线年龄为１５７．２￣１５９．９Ｍａ,并用Ｋ－Ａｒ法测年进行对比和验证,其值为１５１．８￣１５５．８Ｍａ,故确定其时代下限应为中株罗世晚期（卡洛维期）,上限可能达晚侏罗世早期（牛津期）。＾４     

冀北赤城红旗营子群中变质橄榄岩的岩石学与地球化学特征

冀北赤城红旗营子群中变质橄榄岩呈透镜状或团块状产于黑云斜长片麻岩之中,通过对其进行详细的岩石学和地球化学研究.结果显示:岩石类型为强烈蛇纹石化的方辉橄榄岩,具粒状变晶结构或鬣刺结构,变质橄榄岩富ω(MgO)(37.49%～38.91%),贫ω(CaO)(0.12%～1.17%),ω(Al2O3)(0.54%～1.54%)和ω(FeO*)(5.51%～9.06%),ω(TiO2)介于0.01%～0.04%之间,REE含量低于原始地幔,过渡金属元素表现为不对称的"W"型配分型式,在Ti和Cu处形成明显的负异常"谷".上述特征表明变质橄榄岩相当于SSZ型地幔橄榄岩,可能来自于消减带之下的上地幔,属于部分熔融程度很高的亏损地幔岩,因构造侵位而分布于红旗营子群之中,部分岩块则经历了俯冲-消减作用而形成鬣刺结构.     

Variational Bayesian independent component analysis for spectral unmixing in remote sensing image

Spectral unmixing is a key technology of optical remote sensing image analysis; it not only influences the accuracy of the extraction of land cover information and automatic classification of topographical objects, but also greatly hinders the development of quantitative remote sensing. Independent component analysis (ICA) is a statistical method which is recently developed to extract the independent linear components, and which can realize the extraction of endmembers as well as fractional abundances with little a priori knowledge. However, ICA still cannot process the correlations among the various components. To overcome this problem, variational Bayesian independent component analysis (VBICA) has been proposed to process optical remote sensing images. In the Bayesian framework, the separation of independent components of remote sensing image has finally been achieved with conditional independence standards of Bayesian network and approximate variational algorithm. In the simulative image and real AVIRIS hyperspectral remote sensing image, the VBICA algorithm demonstrates its better performance. The experiment’s results indicate that the proposed VBICA algorithm is feasible, which has obvious advantages and a good application prospect. The reason is that it can effectively overcome the correlations between the various components in remote sensing images and break through the limitations of traditional remote sensing images analysis. Last but not least, the VBICA algorithm is applied in the classification of the TM multispectral remote sensing images. Compared to basic maximum likelihood classification, principal component analysis and FastICA algorithms, VBICA improves the classification accuracy of remote sensing images, and contributes to the further extension of the application of ICA in remote sensing image analysis.     

Reconstruction of palaeosalinity using carbon isotopes and benthic associations: a comparison

Carbon and oxygen isotopes were determined on 40 recrystallized shells of Late Jurassic bivalves from the Lusitanian Basin of Portugal. In contrast with the oxygen isotopes, which exhibited considerable diagenetic distortion, the carbon isotopes are thought to preserve a record of the salinity of the Jurassic marginal marine seas in which these bivalves lived. The reconstructed palaeosalinities range from 35%o (euhaline) to 5% (oligohaline). Comparing these values with the palaeosalinity reconstructed from a palaeoecological analysis of 17 stratigraphic levels within the basin, the independently derived values agree in most cases. Strongly differing values are explained as being due to biotic factors and to diagenetic distortion of the isotopic signal; they are less likely to be due to smallscale time-averaging or insufficient microstratigraphic sampling. On the whole, the carbon isotope analyses are thought to produce reasonable palaeosalinity values, although data from infaunal, originally aragonitic bivalves appear to be less reliable than those from epifaunal bivalves with a predominantly or exclusively calcitic shell. As diagenetic alteration of the carbon isotope signal is, however, unpredictable and biotic effects on the isotopic composition are insufficiently known, palaeosalinity reconstructions based on stable isotope data should be supported by palaeoecological data.     

江苏夏季气温异常的时空变化特征

利用中国160气象观测站1951-2005 年和江苏省59气象观测站1961-2004年的月平均气温资料, 在分析江苏气温变化的季节-年际变化特征的基础上, 重点分析了江苏夏季气温的年际、年代际变化的时间和空间特征.发现:江苏夏季气温1970s到1990s前期基本上处在一个偏凉期,1960s及1990s中后期以后基本上处在一个偏热期;江苏夏季气温异常存在显著的准6 a、准9 a的年际周期和以16 a为中心的年代际周期;江苏夏季气温趋势自西北向东南呈现正负正的位相分布特点,即江苏西北部和东南部地区夏季气温呈现升高的趋势,其它地区呈现降低的趋势.     

复杂条件下煤田三维地震勘探应用实例

勘探区地处毛乌素沙漠西南边缘,表层多为干燥疏松的沙丘和黄土;浅层为沙土、卵石、砾石层,大部分地段不含水,均为松散沉积物。区内断层和褶皱发育,煤层埋藏深度与产状变化较大。针对该区表、浅层和深层复杂的地震地质条件,通过不断优化三维地震勘探设计,最终确定了野外数据采集观测系统及激发与接收参数,并在数据处理中,选择了合适的处理技术、处理参数及处理流程,获得了信噪比与分辨率较高的三维数据体,较好的完成了地质勘探任务。     

Atmospheric Water Vapor Pressure over Land Surfaces: A Generic Algorithm with Data Input Limited to Air Temperature, Precipitation and Geographic Location

Summary A lack of information for surface water vapor pressure (WVP) represents a major impediment to model-assisted ecosystem analysis for understanding plant-environment interactions or for projecting biospheric responses to global climate change. This paper reports on a generic algorithm that captures global variation in monthly WVP. The algorithm solves WVP in terms of reduction from saturation WVP as a negative exponential function of potential evapotranspiration; the reduction rate per unit potential evapotranspiration in turn varies with monthly precipitation and a series of variables that distinguish local climate regimes. Data input to the algorithm is limited to monthly air temperature and precipitation, plus latitude, longitude and elevation. The algorithm is specified through regression fitting to monthly climate normal data from 852 stations around the world. It accounts for 96% of the variance in the WVP data, with a root mean square error of 0.17 kPa, or 12% of the data mean. The algorithm closely reproduces five-year sequential monthly WVP data for each of five selected United States locations representitative of diverse climate regimes: the average error generally falls within ±12% of the data mean, and the absolute error within ±0.2 kPa. Its projections also compare favorably against the WVP output from the General Circulation Models for temperature and precipitation conditions under the scenario of a doubled atmospheric carbon-dioxide concentration: the two fall within ±10% of each other for 75% of a total 264 data cases, or within ±20% for 94% of the cases. These statistics suggest that the spatially-based algorithm is useful for projecting temporal variation in WVP, and for extrapolative applications beyond the fluctuation range of present climate. Received March 4, 1999     

小白洋淀水-沉积物系统多环芳烃的分布、来源与生态风险

以端村小白洋淀为研究对象,利用GC-MS测定了6个样点水、悬浮物和沉积物中15种优控多环芳烃(PAHs)的含量,分析了其组成与来源特征,探讨了不同多环芳烃单体的生态风险,结果表明:(1)15种优控多环芳烃的总含量(PAH15),水相为40.1-74.0ng/L,算术均值51.0ng/L;悬浮物为2438.0-5927.0ng/g,算术均值4528ng/g;沉积物为466.9-1366.4ng/g,算术均值为755.6ng/g;与国内外有关研究相比,污染较轻,(2)三相中均以2、3环PAHs为主,其比例均高于80%;并且,从水相、悬浮物相到沉积物相,2环PAHs依次降低,3环、4环依次升高,高环检出率和含量也依次升高,(3)沉积物中多环芳烃的来源以生物质燃料(秸秆、薪材)和煤的燃烧为主,以液体化石燃料(汽油、柴油和原油)的燃烧为辅,(4)沉积物中的芴(FLO)、菲(PHE)含量在潜在生态风险效应区间低值(ERL)与中值(ERM)之间,其生态风险几率介于10%-50%之间;其他PAHs单体的含量均低于ERL,其生态风险几率均低于10%.     

A Case study of a snowstorm at the Great Wall Station,Antarctica

A case of a snowstorm at the Great Wall Station was studied using data of NCEP (National Centers for Environmental Prediction) analysis, in situ observations and surface weather charts. The storm occurred on August 29th,2006, and brought high winds and poor horizontal visibility to the region.It was found that the storm occurred under the synoptic situation of a high in the south and a low in the north. A low-level easterly jet from the Antarctic continent significantly decreased the air temperature and humidity.Warm air advection at high level brought sufficient vapor from lower latitudes for the snowstorm to develop.The dynamic factors relating to strong snowfall and even the developmentof a snowstorm were deep cyclonic vorticity at middle and low levels,the configuration of divergence at high level and convergence at low level, and strong verticaluplift. There was an inversion layer in the low-level atmosphere during the later phase of the storm.This vertical structure of cold air at low levels and warm air at high levels may have been important to the longevity of the snowstorm.