西藏南部吉隆盆地中新世—早更新世孢粉组合带及其地质意义

吉隆盆地为高喜马拉雅中新世晚期约10 Ma时期形成的一个南北向断陷盆地, 其东侧为同沉积正断层, 沃马剖面位于盆地沉降中心的东南部.在该剖面下部新发现一套中新世巨厚砾岩层(旦增竹康组).通过锆石和磷灰石裂变径迹年代学研究得出吉隆盆地控盆断裂早期活动时间为13.4±1.9 Ma, 源区12~11 Ma发生构造热事件, 据此推算出吉隆盆地初始裂陷后开始沉积的底界年龄约为10 Ma.综合前人在吉隆盆地得出的7.20~1.67 Ma古地磁测年值, 可得出吉隆盆地旦增竹康组年龄为10.0~7.4 Ma, 沃马组年龄为7.40~1.67 Ma.根据孢粉组合带和孢粉组合反映的植物类型和古环境变化, 沿剖面自下而上划分为3个孢粉组合带和9个孢粉组合及其对应的植被类型.吉隆地区古气候变化可划分为3个阶段: (1)组合带Ⅰ和孢粉组合1~2, 为温暖偏干环境的常绿与落叶针阔叶混交林, 地层对比时代为晚中新世(10.0~7.0 Ma); (2)组合带Ⅱ和孢粉组合3~7, 为寒冷干旱环境的落叶针叶林, 期间存在一次暖湿气候的波动, 地层对比时代为晚中新世晚期-早上新世(7.0~3.3 Ma); (3)组合带Ⅲ和孢粉组合8~9, 为温凉偏干的气候下生长暗针叶林和落叶阔叶林构成的针阔叶混交林, 地层对比时代为晚上新世(3.30~1.67 Ma).      

我国东部极端降水时空分布及其概率特征

利用我国105°E以东地区210个测站近50年(1953—2002年)逐日降水资料,在REOF客观分区的基础上,确定各分区的极端降水最佳采样期为1~2日。进而研究了日极端降水量的气候特征。采用具有优良特性的L-矩参数估计方法对我国东部极端降水拟合Gumbel分布。结果表明,L-矩参数估计方法的拟合优度比其它方法有进一步提高,近50年来,极端降水趋势虽无明显变化,但其时空差异较大。符合Gumbel分布的极端降水重现期的地理空间分布,大致特征是,东南大、西北小,两湖盆地、黄海海湾及辽东半岛也有高值区。     

Kriging法在区域滑坡危险性评价中的应用

区域滑坡危险性评价是进行区域滑坡风险性研究的基础.由于滑坡演变机制的复杂性,使得目前基于独立分析各因素对滑坡影响的“白箱”型评价模式具有一定风险性,同时这类评价方法要求对滑坡演变和研究区地质地理背景进行非常细致的监测和调查.为了克服这些问题,文章提出了一种基于Kriging插值理论的“黑箱”型评价方法.在利用该方法对历史滑坡点的规模进行评价的基础上,利用Kriging插值法获取研究区的滑坡危险性区划,并以四川省苍溪县为例,验证了运用该方法进行区域滑坡危险性评价的可行性.     

阜康凹陷东环带侏罗系成藏条件分析及有利区预测

阜康凹陷是准噶尔盆地重要的生烃凹陷之一,主要发育四套烃源岩,两套储盖组合。其东部周边的凸起上都发现有油气藏,凹陷与凸起之间的斜坡带,作为油气运移的必经之路,近几年也不断有所发现。斜坡背景、鼻状构造与多起断裂匹配发育,具备形成岩性圈闭条件。通过成藏分析,初步认为该区油气具有"断裂通源,优质砂体控藏,沿梁聚集"的特点;基于构造沉积、成藏整体分析,指出了下步有利勘探区带。     

1961-2010年黑龙江省水稻延迟型冷害时空变化特征

利用1961-2010年黑龙江省62个气象站资料,基于5-9月平均气温和水稻冷害等级行业标准,利用累积距平和小波分析等方法分析水稻延迟型轻度、中度和严重冷害的空间分布特征及时间变化规律,以期为水稻延迟型冷害的研究提供基础。结果表明：1961-2010年黑龙江省水稻延迟型冷害主要集中发生在黑河、齐齐哈尔、哈尔滨东部、牡丹江西部和三江平原东部地区。1961-2010年黑龙江省水稻延迟型冷害存在明显的阶段性变化,1994年后转入新的较少发生阶段,2000年后黑龙江省水稻延迟型冷害发生明显减少。黑龙江省水稻延迟型轻度冷害和中度冷害存在21 a和9 a左右的变化周期,水稻延迟型严重冷害存在21 a左右的周期变化。     

顾及城区机载LiDAR数据特征的配准算法

条带配准是点云数据处理的一个重要环节.文章介绍了经典ICP配准算法的基本原理;考虑到城区机载LiDAR数据中地物的组成、空间分布等特征,提出了一种ICP算法中对应点集的选择策略,并建立了城区机载LiDAR数据的自动配准流程.利用河南安阳试验场的真实点云数据进行配准实验,结果表明在不需要人工干预的情况下,可以很好地将条带数据拼接在一起,建立无缝点云数据.     

地表形变监测的改进相干目标法

如何从雷达干涉时间序列影像中获取更全面的相干目标集合,进行变形时间序列分析是当前研究的难点和热点。本文提出了改进的相干目标法,可获取更为全面且可信度高的相干目标集合,进而提高地表形变监测的时空分辨率和精度。根据雷达影像中同类型地物散射分布相近的特点,采用非参数同分布检验算法提取后向散射特性相近的同质点开展空间非局部滤波,提高干涉图的质量。与此同时,利用多尺度的极大似然条纹频率估计算法分离差分干涉图中的系统性相位,并基于同质点进行自适应相干性估计,获取相干性的平稳估计量,从而获取更多的相干点目标。利用20景TerraSAR-X条带模式时间序列影像,分别利用传统的及改进后的相干目标法对香港填海区域地表形变信息进行时序分析。对试验数据的分析结果表明,本文提出的改进方法在具有稀疏植被的填海区可有效增加相干目标点的提取,得到更为可信的沉降结果。     

基于BERN5．0软件计算的北京地区GPS可降水量研究

收集了2002-2007年6年期间的北京房山站（BJFS）连续观测数据,利用BERN高精度GPS数据处理软件计算出该站的对流层延迟,再利用该站的气象观测资料分离干延迟获得2mm精度的湿延迟,计算出BJFS站的可降水量（PWV）,组成长达6年的时间序列,初步探讨北京地区的季节性降水量变化,特别是第三季度的可降水量影响,通过数据走势,预测计算不同季度的降水概率。     

RESEARCH ON THE CHARACTERISTICS OF QUATERNARY ACTIVITIES OF SU-XI-CHANG FAULT

Running across the urban areas of Changzhou, Wuxi and Suzhou, the NW-trending Su-Xi-Chang Fault is an important buried fault in Yangtze River Delta. In the respect of structural geomorphology, hilly landform is developed along the southwest side of the Su-Xi-Chang Fault, and a series of lakes and relatively low-lying depressions are developed on its northeast side, which is an important landform and neotectonic boundary line. The fault controlled the Jurassic and Cretaceous stratigraphic sedimentary and Cenozoic volcanic activities, and also has obvious control effects on the modern geomorphology and Quaternary stratigraphic distribution. Su-Xi-Chang Fault is one of the target faults of the project "Urban active fault exploration and seismic risk assessment in Changzhou City" and "Urban active fault exploration and seismic risk assessment in Suzhou City". Hidden in the ground with thick cover layer, few researches have been done on this fault in the past. The study on the activity characteristics and the latest activity era of the Su-Xi-Chang Fault is of great significance for the prevention and reduction of earthquake disaster losses caused by the destructive earthquakes to the cities of Changzhou, Wuxi and Suzhou. Based on shallow seismic exploration and drilling joint profiling method, Quaternary activities and distribution characteristics of the Su-Xi-Chang Fault are analyzed systematically. Shallow seismic exploration results show that the south branch of the Su-Xi-Chang Fault in Suzhou area is dominated by normal faulting, dipping to the north-east, with a dip angle of about 60° and a displacement of 3~5m on the bedrock surface. The north branch of the Su-Xi-Chang Fault in Changzhou area is dominated by normal faulting, dipping to the south, with a dip angle of about 55°~70° and a displacement of 4~12m on the bedrock surface. All breakpoints of Su-Xi-Chang Fault on the seismic exploration profiles show that only the bedrock surface was dislocated, not the interior strata of the Quaternary. On the drilling joint profile in the Dongqiao site of Suzhou, the latest activity of the south branch of Su-Xi-Chang Fault is manifested as reverse faulting, with maximum displacement of 2.9m in the upper part of Lower Pleistocene, and the Middle Pleistocene has not been dislocated by the fault. The fault acts as normal fault in the Pre-Quaternary strata, with a displacement of 3.7m in the Neogene stratum. On the drilling joint profile in the Chaoyang Road site of Changzhou, the latest activity of the north branch of Su-Xi-Chang Fault is manifested as reverse faulting too, with maximum displacement of 2.8m in the bottom layer of the Middle Pleistocene. The fault acts as normal fault in the Pre-Quaternary strata, with a displacement of 10.2m in the bedrock surface. Combining the above results, we conclude that the latest activity era of Su-Xi-Chang Fault is early Middle Pleistocene. The Su-Xi-Chang Fault was dominated by the sinistral normal faulting in the pre-Quaternary period, and turned into sinistral reverse faulting after the early Pleistocene, with displacement of about 3m in the Quaternary strata. The maximum magnitude of potential earthquake on the Su-Xi-Chang Fault is estimated to be 6.0.     

APPLYING 3D INVERSION OF SINGLE-PROFILE MAGNETOTELLURIC DATA TO IDENTIFY THE SHADE AND YUNONGXI FAULTS

Many synthetic model studies suggested that the best way to obtain good 3D interpretation results is to distribute the MT sites at a 2D grid array with regular site spacing over the target area. However, MT 3D inversion was very difficult about 10 years ago. A lot of MT data were collected along one profile and then interpreted with 2D inversion. How to apply the state-of-the-art 3D inversion technique to interpret the accumulated mass MT profiles data is an important topic. Some studies on 3D inversion of measured MT profile data suggested that 2D inversions usually had higher resolution for the subsurface than 3D inversions. Meanwhile, they often made their interpretation based on 2D inversion results, and 3D inversion results were only used to evaluate whether the overall resistivity structures were correct. Some researchers thought that 3D inversions could not resolute the local structure well, while 2D inversion results could agree with the surface geologic features much well and interpret the geologic structures easily. But in the present paper, we find that the result of 3D inversion is better than that of 2D inversion in identifying the location of the two local faults, the Shade Fault(SDF)and the Yunongxi Fault(YNXF), and the deep structures. In this paper, we first studied the electrical structure of SDF and YNXF based on a measured magnetotelluric(MT) profile data. Besides, from the point of identifying active faults, we compared the capacity of identifying deep existing faults between 2D inversion models and 3D models with different inversion parameters. The results show that both 2D and 3D inversion of the single-profile data could obtain reasonable and reliable electrical structures on a regional scale. Combining 2D and 3D models, and according to our present data, we find that both SDF and YNXF probably have cut completely the high resistivity layer in the upper crust and extended to the high conductivity layer in the middle crust. In terms of the deep geometry of the faults, at the profile's location, the SDF dips nearly vertically or dips southeast with high dip angle, and the YNXF dips southeast at depth. In addition, according to the results from our measured MT profile, we find that the 3D inversion of single-profile MT data has the capacity of identifying the location and deep geometry of local faults under present computing ability. Finally, this research suggests that appropriate cell size and reasonable smoothing parameters are important factors for the 3D inversion of single-profile MT data, more specifically, too coarse meshes or too large smoothing parameters on horizontal direction of 3D inversion may result in low resolution of 3D inversions that cannot identify the structure of faults. While, for vertical mesh size and data error thresholds, they have limited effect on identifying shallow tectonics as long as their changes are within a reasonable range. 3D inversion results also indicate that, to some extent, adding tippers to the 3D inversion of a MT profile can improve the model's constraint on the deep geometry of the outcropped faults.