新疆东昆仑西段库拉甫河岩组火山岩地球化学特征及锆石U-Pb年龄

对东昆仑西段库拉甫河岩组火山岩地球化学进行研究,结果显示,主量元素MgO、FeO含量较高,TiO_2和K_2O含量分别为1.12%、0.63%,与岛弧拉斑玄武岩(0.84%、0.43%)接近;微量元素具有Sr富集,高场强元素Nb、Ta略亏损,P无明显分馏或未分馏的特征,稀土元素球粒陨石标准化配分曲线显示良好的同源性(配分曲线变化规律近似一致),且与富集型洋脊玄武岩配分趋势一致。结合构造环境判别,认为其形成于岛弧环境,具有岛弧拉斑玄武岩的特征,来源于与岛弧相关的富集地幔。利用锆石U-Pb测年获得2组年龄,其中一组年龄为688.7±5.1Ma,代表捕获晶年龄,另一组年龄483.4±3.3Ma为结晶年龄,代表玄武岩的形成年龄,属于早奥陶世。结合其构造环境、岩石地球化学特征和年龄数据,认为其是原特提斯洋俯冲消减环境下的产物,且原特提斯洋俯冲至少持续到早奥陶世。     

双流冬草莓低温冻害天气特征及防冻措施探讨

双流县作为我国最大的冬草莓生产基地,低温冻害是冬季生产关键期的主要气象灾害。本文对2005年初低温冻害进行了分析,归纳出了双流县冬草莓低温冻害的发生规律及冻害临界温度指标,并提出了具体的防冻措施。     

近似核线影像的轻量级多阶多尺度特征准稠密匹配

针对近似核线影像,设计了轻量级的线状多尺度三角塔结构,通过多尺度下复合特征的极值检测,得到大量稳定特征点,进行特征点尺度和位置的拟合以提高算法对影像变形和核线几何计算误差的适应性,然后对特征点进行复合分量的综合描述,并采用属性特征和数值特征相结合的方法在预测区间进行快速匹配,最后采用微分纠正法提高同名点定位精度。实验表明,本算法能够快速得到分布均匀、密度较大的可靠同名点精度约0.1像素级。     

南海北部陆缘合浦盆地烃源岩特征与低熟油气及生物气勘探前景

南海北部陆缘广西合浦盆地油气勘探迄今尚未取得突破,其根本原因是对该区基本油气地质条件及油气地质规律认识尚不够深入。合浦盆地主要烃源岩与百色盆地一样,均属成熟度偏低的始新统中深湖相暗色泥质岩系,其低熟烃源岩与低熟油气特征及其成藏地质条件亦基本一致。在深入分析研究合浦盆地低熟烃源岩有机质丰度、生源母质类型及热演化特征的基础上,重点对其低熟油气及生物气的地球化学特征与百色盆地进行了类比,指出合浦盆地古近系具备低熟油气/生物气的基本地质条件,其油气勘探方向及勘探策略,应借鉴百色盆地的成功经验,重点勘探寻找低熟油气及生物气资源。     

祁连山及邻区第四纪地层区划与沉积序列

在前人资料和野外勘查的基础上对祁连山及邻区贵德盆地、循化—化隆盆地、同仁盆地、西宁盆地、门源盆地、临夏盆地、兰州盆地、定西盆地、天水盆地、肃北盆地、酒泉盆地、玉门盆地、张掖盆地、武威盆地、哈拉湖盆地、苏里盆地、木里盆地、民和盆地、共和盆地、青海湖盆地及柴达木等20余个盆地的第四纪地层进行了研究。以祁连山第四纪构造地貌演化、盆地沉积序列、古生物及古气候特征为地层分区依据,对祁连山及邻区第四纪地层进行了地层分区,并对部分地层名称做了厘定或统一。祁连山及邻区第四纪沉积特征总体为东部(主要为陇中地区)黄土分布广泛,堆积了世界上最厚的黄土地层;北部(河西走廊地区)冲洪积扇堆积及风沙发育;南部(柴北盆地)以冲洪积-湖积为主,晚更新世以来发育风成沙及黄土;共和盆地由湖泊转向冲积扇和风沙沉积;青海湖盆延续至今;中西部高山及山间盆地冰碛、冰水堆积以及河流阶地堆积发育。根据上述特征及划分原则,将祁连山及邻区第四纪地层区划分为:兰州—西宁地层区,贵德地层区,酒泉—张掖地层区,柴北地层区,共和地层区,青海湖地层区及肃北—门源地层区。     

频率-波数域递推计算海底多分量地震记录中的反射系数

在频率-波数域中采用解析法,解出多层条件下海底实测的多分量地震数据分解成上行和下行P波和S波的算法,导出海底各层地震反射系数随入射角变化(简称RVA)的递推计算公式,为海底多波多分量AVO弹性参数的反演及流体因子预测提供基础数据.合成数据的计算结果表明,本文给出的算法能较可靠地从海底多波多分量记录中提取RVA信息.     

Multiple Volcanic Episodes of Flood Basalts Caused by Underplating

Most Large igneous provinces (LIPs) are emplaced within <10 Ma, with a main pulse of the magmatism in<1 Ma[1]. For example, the Siberian Traps [2] and the Deccan Traps [3] were probably erupted within one million years. Many events, such as the Columbia River event, feature a single pulse of magmatism, followed by a protrac-ted period of magmatism at a much lower rate that is linked to a plume tail[4].     

贵州晴隆锑矿稀土元素特征与成因探讨

对晴隆锑矿含矿层及围岩的稀土元素地球化学特征研究表明,其ΣREE变化较大,但REE配分模式较固定,以明显的负Ce异常、Eu正异常、分配曲线相对平缓为特征。对比该区玄武岩的稀土配分模式图后发现,两者差异较大。结合镜下岩(矿)石的结构和矿物组合特征以及野外实际资料,认为锑等矿质元素是盆地流体通过花鱼井、雷钵硐等NE向的深大断裂运移,由于氧化还原、温度和压力等物理化学条件的改变,沉积赋存于大厂层中。     

Identification of Suitable Hydrologic Response Unit Thresholds for Soil and Water Assessment Tool Streamflow Modelling

Use of a non-zero hydrologic response unit(HRU) threshold is an effective way of reducing unmanageable HRU numbers and simplifying computational cost in the Soil and Water Assessment Tool(SWAT) hydrologic modelling. However, being less representative of watershed heterogeneity and increasing the level of model output uncertainty are inevitable when minor HRU combinations are disproportionately eliminated. This study examined 20 scenarios by running the model with various HRU threshold settings to understand the mechanism of HRU threshold effects on watershed representation as well as streamflow predictions and identify the appropriate HRU thresholds. Findings show that HRU numbers decrease sharply with increasing HRU thresholds. Among different HRU threshold scenarios, the composition of land-use, soil, and slope all contribute to notable variations which are directly related to the model input parameters and consequently affect the streamflow predictions. Results indicate that saturated hydraulic conductivity, average slope of the HRU, and curve number are the three key factors affecting stream discharge when changing the HRU thresholds. It is also found that HRU thresholds have little effect on monthly model performance, while evaluation statistics for daily discharges are more sensitive than monthly results. For daily streamflow predictions, thresholds of 5%/5%/5%(land-use/soil/slope) are the optimum HRU threshold level for the watershed to allow full consideration of model accuracy and efficiency in the present work. Besides, the results provide strategies for selecting appropriate HRU thresholds based on the modelling goal.