地洼盆地砂岩铜矿床的 构造－流体－成矿体系及演化

我国南方地洼盆地构造演化、流体演化和砂岩铜矿成矿作用三者之间具有密切的关系,处于一个统一的系统之中。盆地早中期的裂陷、坳陷作用及热构造活动导致了富铜矿源层的形成、大气降水的深循环和水/岩相互作用、并形成中高温、压、高盐度的热卤水含铜流体。在构造－流体－砂岩铜矿成矿体系的演化中,构造演化制约了含铜流体的演化和砂岩铜矿的成矿作用,而主要发生于盆地演化的晚期。     

Primary production processes in the Taiwan Strait——Spatial and temporal variations of phytoplankton biomass and productivity

INTRODUCTIONAsthefundamentalbasisofthewholebiogeOChemicalcyclingofcarbon,primaryproduction.TIsWOrkwassupportedbyfUndsfmtheStateEducation~ssboandFujianaudienceFOUndstion.processesswitchontheflowofmaterialsandenergyintheoceanicecosystem,supportlargeamountoffisheryproductiononwhichourhumanbeingsrelyonfacesupply.Althoughconsistingonly8%oftheglobaloceanarea,coastalregionssupply26%oftheglobaloceanicbiologicalproductsand2/3--3/4oftotalfisheryresources.Therefore,theinvestigationsonphytoplank…     

Change detection from aerial images acquired in different durations

Because of quick development of cities, the update of urban GIS data is very important. Change detection is the base of automatic or semi-automatic data update. One way of change detections in urban area is based on old and new aerial images acquired in different durations. The corresponding theory and experiments are introduced and analyzed in this paper. The main procedure includes four stages. The new and old images have to be registered firstly. Then image matching, based on the maximum correlation coefficient, is performed between registered images after the low contrast areas have been removed. The regions with low matching quality are extracted as candidate changed areas. Thirdly, the Gaussian-Laplacian operator is used to detect edges in candidate changed areas on both the registered images, and the straight lines are detected by Hough transformation. Finally, the changed houses and roads can be detected on the basis of straight line matching in candidate changed areas between registered images.     

NUMERICAL SIMULATION STUDY OF HAIL CLOUD-PART Ⅰ:THE NUMERICAL MODEL

In order to study mechanisms of hailstone formation and hail suppression with seeding and to obtain optimum seeding technique for hail cloud,a 3-D compressive numerical seeding model for hail cloud is developed.The water substance in hail cloud is divided into 8 categories,i.e.,water vapor,cloud droplet,raindrop,ice crystal,snow.graupel,frozen drop and hail,and the detailed microphysical processes are described in a spectrum with two variable parameters and more reasonable particle number/size distributions.Then,the model is able to predict concentration and water content of various particles.Especially.it can calculate the number of hailstones whose cores are graupel or frozen drop and apply to study mechanism of hailstone formation.Additionally,a conservative equation of AgI as seeding or glacigenous agent is found and nucleation by condensation of artificial nucleus,and nucleation by freezing of cloud droplet or rain drop which contact with AgI particle are considered.The dynamic energy flux of hail shooting on ground is used to verify seeding effect.Therefore the model is also used to study mechanism of hail suppression with seeding and the seeding technique.     

福氏拟菱形藻(Pseudo-nitzschia fukuyoi)——中国产毒拟菱形藻的新记录

为了提高对我国海域拟菱形藻属(Pseudo-nitzschia)物种多样性的认识,并明确其是否能够产生多莫酸(domoic acid,DA)。本文从中国沿海分离和建立了拟菱形藻的单克隆培养株系,结合光学显微镜下的群体特征、透射电镜下的超微形态学特征、基于核糖体转录间隔区(internal transcribed spacer,ITS)的分子系统学数据,以及基于ITS2转录RNA的二级结构分析,鉴定到我国拟菱形藻属的1个新记录种:福氏拟菱形藻(P.fukuyoi Lim,Teng,LeawLim)。本文对其形态学特征进行描述,与相似物种进行了对比分析;对其ITS2-RNA序列进行了分析;利用高效液相色谱-串联质谱联用法(liquid chromatography tandem mass spectrometry,LC-MS/MS)对培养藻株的产毒特征进行了分析,多个株系中均检测到DA,单细胞产毒水平为0.02—0.23pg,这是我国报道的第二种产毒拟菱形藻。利用卤虫(Artemia salina)和褶皱臂尾轮虫(Brachionus plicatilis)对福氏拟菱形藻的产毒水平进行了诱导,发现浮游动物能够提高福氏拟菱形藻的DA含量,增强幅度在4.7—28.5倍之间。本文提高了对我国拟菱形藻属物种多样性的认识,明确了福氏拟菱形藻的产毒特征和水平,为后续深入研究提供了基础数据。     

Improved lakeshore sediment microenvironment and enhanced denitrification efficiency by natural solid carbon sources

At present, the high level of nitrate in tailwater of wastewater treatment plants(WWTPs) has continued to cause serious environmental problems. In current study, wood chips and bark, serving as natural solid carbon source(NSCS), were applied to enhance the denitrification capacity of lakeshore sediment to remove superabundant nitrate in tailwater. The results show that NSCS had a positive effect on denitrification process for lakeshore sediment and increased the total phosphorus removal capacity...     

Measurement of the current and spectral analysis on the continental shelf in the East China Sea

Direct measurements of current velocity and water temperature were undertaken at the mooring Sta. M (125°29.38' N, 31°49.70' E) on the continental shelf area in the East China Sea in June 1999 by R/V Xiangyanghong 14. The relationship between various time series of oceanic fluctuations is calculated by spectral analysis. The major results are as follows: (1) an average (u,v) of (6.9,-3.0 cm/s) at the 30 m depth is obtained during the 9-day observation, and that at the 45 m depth is (3.7,-1.1 cm/s), i. e., the mean flows are southeastward at both the 30 and 45 m depths;the currents become stronger gradually during the observation period; this may be mainly attributed to the transition of the tidal currents from neap to spring; (2)semidiurnal fluctuation is the most dominant in the current fluctuations, and rotates mainly clockwise; in the next place, there is also diurnal fluctuation;the local inertial period is close to the period of diurnal fluctuation, and an inertial motion is clockwise; thus, loca     

三峡库区秭归县张家湾滑坡群基本特征及形成机制探讨

在前人资料、勘探和工程地质测绘的基础上,通过对原始资料以及原斜坡地质环境的定性分析判断,指出张家湾滑坡是一个由6个单体滑坡组成的滑坡群体,阐述了各单体滑坡的基本特征、形成次序和相互关系,并对各单体滑坡的影响因素、形成机制和稳定性进行了评述。     

Twenty years of ocean observations with China Argo

The international Argo program, a global observational array of nearly 4 000 autonomous profiling floats initiated in the late 1990s, which measures the water temperature and salinity of the upper 2 000 m of the global ocean, has revolutionized oceanography. It has been recognized one of the most successful ocean observation systems in the world. Today, the proposed decade action “OneArgo” for building an integrated global, full-depth, and multidisciplinary ocean observing array for beyond 2020 ...     

基于机器学习和台阵相关性的水力压裂微地震事件自动识别及到时拾取

利用密集台阵对水力压裂微地震进行监测将有助于优化储层压裂、揭示断层活化.为满足密集台阵海量采集数据的处理需求,本文建立了一种综合运用多种机器学习方法和台阵相关性的、无需人工干预的自动处理流程,从而能够快速得到高质量的密集台阵震相到时目录.该综合策略包括：(1)利用迁移学习在连续波形中快速检测地震事件;(2)利用U型神经网络PhaseNet自动拾取P波、S波震相;(3)利用三重线性剔除法,结合密集台阵到时相关性剔除异常到时数据和地震事件;(4)利用K-means和SVM两类机器学习算法,进一步区分发震时刻接近的多个地震事件,减小事件漏拾率.通过将该流程应用于四川盆地长宁—昭通页岩气开发区微地震监测数据,并将自动处理结果与人工拾取结果进行比对发现,二者在震级测定、定位以及走时成像结果等方面具有很好的一致性,表明本文处理流程结果精度可达到手动处理精度.本文结果为密集台阵地震监测数据的高效、高精度处理提供了新思路.