EAR70、CLDAS和ERA Interim表层土壤温度在中国地区的评估

本文利用2010—2015年2400多国家气象站逐小时观测数据对覆盖中国的EAR70、CLDAS和ERA Interim 3种表层土壤温度进行了评估和对比。结果表明：空间上CLDAS表层土壤温度精度最高（平均误差为-0.5 ℃，均方根误差为3.0 ℃，相关系数为0.96），受益于CLDAS高精度的陆面初始场，EAR70平均误差得到了改善；时间上ERA Interim再分析表层土壤温度在6:00和夏、秋季精度会明显下降，再分析表层土壤温度在数值较高时段表现出冷偏差，原因是模拟的土壤温度数值上升速度慢，对应的参数化方案有待改进。再分析表层土壤温度在东北地区冬季存在冷偏差，可能和积雪覆盖有关，陆面参数化方案也有待提高。在地形复杂的青藏高原地区，融合地面观测的CLDAS提高了大气驱动的质量进而改进了土壤的模拟。ERA Interim分辨率较粗不适合在青藏高原或者沿海地区使用，结合了CLDAS的EAR70在青藏高原精度提高。土壤表层温度的精度随着高精度的土壤状态初始场进入模式中时间延长会显著下降。因此，CLDAS的实时同化方式，能够有效提高在分析数据的精度。     

我国风云极轨气象卫星及应用进展

我国风云极轨气象卫星数据,目前已经被应用在天气预报、气候预测、自然灾害、环境监测、科学研究等多个重要领域,为我国国民经济建设、国防建设、防灾减灾和全球许多国家的经济发展做出了重要贡献。本文介绍了我国风云极轨气象卫星的发展历程,重点阐述了目前风云极轨气象卫星在卫星数据预处理、定量产品反演、卫星资料同化等方面的应用研究进展,并展示了第二代风云极轨气象卫星在全球业务观测、大气三维探测、海洋环境监测、数值预报应用等相关典型应用。在国家创新战略发展框架下,根据“国家级气象现代化总体方案”确定的2020年气象卫星及应用发展目标,第二代极轨气象卫星风云三号03批卫星系统工程必将进一步发挥重大支撑作用。     

祁连山南部地区三叠纪弧后前陆盆地——基于沉积填充与大地构造的证据

本文通过对祁连山南部地区三叠纪沉积充填特征的研究,建立了盆地形成过程中沉积充填与区域构造演化的关联。依据沉积充填特征、构造接触关系及区域地质背景,认为祁连山南部地区三叠纪盆地具有弧后前陆盆地的构造属性;综合分析年代学、沉积物性和盆地内部填充单元的差异划分出与柴达木岛弧带和祁连山南部弧后前陆盆地相关的区域大地构造单元。认为早三叠世-中三叠世中期,南部遭受俯冲作用持续向北挤压推覆导致盆地挠曲沉降;中三叠世中期-晚三叠世中期发生弧(东昆仑-柴北缘)-陆(巴颜喀拉地块)碰撞,祁连山南部盆地挠曲沉降增大,其间形成区域性断裂和不整合等盆地记录的地质事件;晚三叠世晚期祁连山南部盆地发生过补偿陆相填充,弧后前陆盆地消亡。     

河流相沉积的河型转换特征与控制因素及其油气地质意义 ——以南苏丹Melut盆地Ruman地区坳陷期Jimidi组为例

河流相砂体是陆相含油气盆地的重要储层类型，其河型的时空转换不仅是研究盆地演化的直接证据，更是精准评价与预测油气储层的核心内容，已成为近年来国内外沉积研究的热点之一。以Melut盆地Ruman地区坳陷期Jimidi组为例，通过开展层序划分、岩相类型与岩相组合分析、高分辨率储层反演、以及砂体平面展布分析，结果表明:1）坳陷期Jimidi组河流相研究层段发育3个中期基准面旋回，可识别出垂向加积型、侧向加积型、充填型、充填—废弃型、漫溢型等5类典型岩相组合。2）揭示出Jimidi组由下至上具有“曲—辫—曲”河型转换规律，明确了构造作用所造就的古地貌背景和长期基准面上升的总体趋势是控制河型转换的主要因素。3）河型转换的新认识有效指导了研究区曲流河型层段内连续分布的相对低孔封隔带的发现，推动了Jimidi组首口岩性油藏风险探井的部署与勘探突破。     

秦岭南缘勉略带构造属性及晚古生代地质背景:来自碎屑锆石U-Pb年代学的制约

勉略构造带作为秦岭造山带内重要的构造边界,关于其构造属性及晚古生代以来的地质背景,一直是学术界争论的焦点。碎屑锆石U-Pb年代学在限定地层单元的最大沉积年龄、研究区域构造岩浆事件及约束构造地质背景等方面行之有效。基于此,通过对勉略带内五郎坪北侧两河口变沉积地层和侵入其中的变形花岗岩脉体进行LA-ICP-MS锆石U-Pb年代学研究。获得2件变形花岗岩脉的结晶年龄均为406±1Ma。碎屑锆石主年龄谱分别为422～456Ma和558～826Ma,峰值年龄为441Ma和771Ma、813Ma,次级年龄谱分别为942～1495Ma和1658～2981Ma,峰值年龄不明显。依据最小一组碎屑锆石的峰值年龄(441Ma),和侵入其中的变形花岗岩脉(406±0.6Ma),限定该变沉积地层形成时代为406～441Ma(S_1-D_1)。碎屑锆石年龄谱显示该套变沉积地层物质来源较为复杂,其中秦岭造山带及扬子板块北缘早古生代、新元古代岩浆岩为其提供了74%±的物源,古老变质基底为其提供了26%±的物源。通过与区域上已有资料对比,认为勉略构造带内晚古生代沉积地层形成环境与邻区大致相同,且本次所获得的变沉积岩碎屑锆石年龄谱也与邻区泥盆系相似。综合认为,勉略构造带与邻区在晚古生代应属同一构造环境,晚古生代"勉略海盆"应当包括整个南秦岭。     

On the spatial characteristic of the short term and imminent anomalies of underground water behaviors before strong earthquake

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几种地质图件的数据存贮与处理

本文主要叙述了在开发煤矿地质信息系统(CMGIS)中的几种主要地质图件的数据存贮与处理技术。地质图件作为一种专业图件,有它特有的属性,如岩性花纹符号的大量出现,各种构造、地物等特殊线条的出现,地质曲线与文字标注的大量出现等。实践表明,采用商品化通用软件包(Auto CAD)已满足不了用户的要求,因为它缺乏地质上所需要的特殊性线型。用它编辑后的图形数据难以二次利用,图素的地质含义不再表现在图形数据库中,况且,如果图形编辑量过大,还必须考虑是否要对原始数据进行调整或增加辅助数据,为此,用户必须在不同的软件环境下运行不同的软件和数据,造成用户学习掌握和使用上的困难。     

Oil-generation kinetics for organic facies with Type-II and -IIS kerogen in the Menilite Shales of the Polish Carpathians

The Menilite Shales (Oligocene) of the Polish Carpathians are the source of low-sulfur oils in the thrust belt and some high-sulfur oils in the Carpathian Foredeep. These oil occurrences indicate that the high-sulfur oils in the Foredeep were generated and expelled before major thrusting and the low-sulfur oils in the thrust belt were generated and expelled during or after major thrusting. Two distinct organic facies have been observed in the Menilite Shales. One organic facies has a high clastic sediment input and contains Type-II kerogen. The other organic facies has a lower clastic sediment input and contains Type-IIS kerogen. Representative samples of both organic facies were used to determine kinetic parameters for immiscible oil generation by isothermal hydrous pyrolysis and S₂ generation by non-isothermal open-system pyrolysis. The derived kinetic parameters showed that timing of S₂ generation was not as different between the Type-IIS and -II kerogen based on open-system pyrolysis as compared with immiscible oil generation based on hydrous pyrolysis. Applying these kinetic parameters to a burial history in the Skole unit showed that some expelled oil would have been generated from the organic facies with Type-IIS kerogen before major thrusting with the hydrous-pyrolysis kinetic parameters but not with the open-system pyrolysis kinetic parameters. The inability of open-system pyrolysis to determine earlier petroleum generation from Type-IIS kerogen is attributed to the large polar-rich bitumen component in S₂ generation, rapid loss of sulfur free-radical initiators in the open system, and diminished radical selectivity and rate constant differences at higher temperatures. Hydrous-pyrolysis kinetic parameters are determined in the presence of water at lower temperatures in a closed system, which allows differentiation of bitumen and oil generation, interaction of free-radical initiators, greater radical selectivity, and more distinguishable rate constants as would occur during natural maturation. Kinetic parameters derived from hydrous pyrolysis show good correlations with one another (compensation effect) and kerogen organic-sulfur contents. These correlations allow for indirect determination of hydrous-pyrolysis kinetic parameters on the basis of the organic-sulfur mole fraction of an immature Type-II or -IIS kerogen.     

SPATIAL DISTRIBUTION OF NUTRIENTS OF SHALLOW LAKE IN THE ZHALONG WETLAND

1 INTRODUCTIONNitrogen and phosphorus in the water are the nu-trients limited in natural wetlands,which seriously in-fluence on the ecosystem production and the biodiver-sity(Mitsch,Grosselin,2000).Nitrogen and phos-phorus recycles have been interrupted b…     

T -distributed Random Fields: A Parametric Model for Heavy-tailedWell-log Data1

Histograms of observations from spatial phenomena are often found to be more heavy-tailed than Gaussian distributions, which makes the Gaussian random field model unsuited. A T-distributed random field model with heavy-tailed marginal probability density functions is defined. The model is a generalization of the familiar Student-T distribution, and it may be given a Bayesian interpretation. The increased variability appears cross-realizations, contrary to in-realizations, since all realizations are Gaussian-like with varying variance between realizations. The T-distributed random field model is analytically tractable and the conditional model is developed, which provides algorithms for conditional simulation and prediction, so-called T-kriging. The model compares favourably with most previously defined random field models. The Gaussian random field model appears as a special, limiting case of the T-distributed random field model. The model is particularly useful whenever multiple, sparsely sampled realizations of the random field are available, and is clearly favourable to the Gaussian model in this case. The properties of the T-distributed random field model is demonstrated on well log observations from the Gullfaks field in the North Sea. The predictions correspond to traditional kriging predictions, while the associated prediction variances are more representative, as they are layer specific and include uncertainty caused by using variance estimates.