白云凹陷恩平组南部物源研究及其油气地质意义

恩平组是珠江口盆地白云凹陷已经获得勘探证实的主要烃源层系。对其物源的清晰认识是潜力烃源和有利储层发育研究的重要基础。基于大量的三维地震解释和有限的钻井资料分析,提出白云凹陷恩平组时期不仅有来自北部盆外物源的输入,同时存在来自南部隆起的物源贡献。已钻井岩石学特征、古地貌分析、地震剖面特征和碎屑锆石年代学特征表明,白云凹陷西南部恩平组具有砂地比超过80%、粒度较粗、发育NE向大规模高角度“S”型前积地震相、具有物源通道的古地貌以及碎屑锆石以中生代岩浆锆石为主的特征,这与凹陷北部盆外具有NW向较平缓的“叠瓦状”前积地震相和较老的前寒武纪—古生代的碎屑锆石年龄的特征截然不同。综合分析认为,恩平组时期白云凹陷的南部隆起物源为白云凹陷西南部提供了充足的陆源物质供给,对白云西南部的优质陆源海相烃源岩的发育有重要作用;同时云开低凸起恩平组砂体埋深浅,粒度粗,是重要的潜在优质储层,具有重要的勘探意义。     

A fine-granularity scheduling algorithm for parallel XDraw viewshed analysis

Viewshed analysis is widely used in many terrain applications such as siting problem, path planning problem, and etc. But viewshed computation is very time-consuming, in particular for applications with large-scale terrain data. Parallel computing as a mainstream technique with the tremendous potential has been introduced to enhance the computation performance of viewshed analysis. This paper presents a revised parallel viewshed computation approach based on the existing serial XDraw algorithm in a distributed parallel computing environment. A layered data-dependent model for processing data dependency in the XDraw algorithm is built to explore scheduling strategy so that a fine-granularity scheduling strategy on the process-level and thread-level parallel computing model can be accepted to improve the efficiency of the viewshed computation. And a parallel computing algorithm, XDraw-L, is designed and implemented taken into account this scheduling strategy. The experimental results demonstrate a distinct improvement of computation performance of the XDraw-L algorithm in this paper compared with the coarse-partition algorithm, like XDraw-E which is presented by Song et al. (Earth Sci Inf 10(5):511–523, 2016), and XDraw-B that is the basic algorithm of serial XDraw. Our fine-granularity scheduling algorithm can greatly improve the scheduling performance of the grid cells between the layers within a triangle region.     

遥感技术在地质灾害调查及灾害规律研究中的应用——以辽宁省建昌县为例

地质灾害与地质环境条件、人类工程活动关系密切,严重威胁着人类生命财产安全,制约社会经济的可持续发展。运用遥感技术对辽宁省建昌县进行地质灾害调查,利用ENVI5.3软件对高分二号数据进行预处理,建立遥感解译标志并开展了野外验证,最终解译滑坡、崩塌、泥石流、地面塌陷等地质灾害点75个;同时,利用Arcgis10.4空间分析功能,对遥感解译地质灾害点与地貌、坡度、坡向、构造、水系及人类工程活动等因子进行叠加分析,基本查清了研究区地质灾害规模、空间分布特征和发育规律,为研究总结区域上地质灾规律及有效预防提供了详实可靠的基础资料。     

基于居民地不同烈度下的地震灾害评估系统设计与实现

现有地震灾害评估系统多以设定地震的方式进行震害评估,无法满足地震灾害风险评估中按照不同烈度对整个行政区域进行地震灾害评估的业务需求,本文以现有计算模型为框架、以ArcEngine 为GIS开发平台、采用C/S结构进行基于居民地的不同烈度下地震灾害评估系统设计。系统以居民地为评估单元,根据选择的评估区域,按照Ⅵ度、Ⅶ度、Ⅷ度、Ⅸ度、大于等于Ⅹ度5个级别分别进行地震灾害建筑物损坏情况和人员伤亡评估,结果可为各级政府及相关部门进行区域地震风险评估、地震灾害预评估提供技术支持。     

台风“巴蓬”对南海上层海洋水文特征与生态环境的影响

研究台风过境影响下海洋生态环境的变化是系统认识强天气过程下海洋响应问题的重要内容,对于防灾减灾、远洋运输等具有积极的意义。基于混合坐标海洋环流模式（Hybrid Coordinate Ocean Model, HYCOM）数据,结合Aqua卫星搭载的中分辨率成像光谱仪（MODIS）传感器数据,研究了慢速移动的台风“巴蓬”（1929号）过境对南海海表温度、叶绿素浓度以及水体垂向温盐结构和流场特征的影响。结果显示,台风“巴蓬”过境期间,波高由3 m增加至9 m,海表流速由0.3 m/s增加至0.7 m/s,台风周围最大流速甚至超过1.8 m/s;台风过境后,海表温度由原25.8 ℃下降至24.9 ℃。在台风影响下,水体垂向混合增加,混合层深度增加近15 m,从23 m到38 m。混合层内上部温度降低、盐度略微增加,下部温度升高、盐度降低;上层水体流速增加,方向偏转近90°,流速变化幅度由表及底逐渐减小。台风过境后3天内,由于温度降低、光照减弱,并且垂向混合增强补充的营养盐仍未被浮游植物充分利用,因此,叶绿素浓度并未快速升高,而是呈现短期内浓度微增的现象。     

西藏扎西康锌多金属矿床地质特征及银的赋存状态研究

扎西康锌多金属矿床位于西藏特提斯喜马拉雅板片的"金锑多金属"成矿带东段。研究显示,矿体主要呈脉状、透镜状产于近南北向的张性断裂中。热液成矿作用主要可划分为早、晚2个成矿阶段,7个成矿亚阶段,早期以铅锌矿化为主,晚期以锑(铅)矿化为主。岩矿石镜下鉴定和电子探针分析表明,扎西康矿床矿石种类繁多,矿物组合和成矿元素均呈现明显的分带现象,由深至浅(W→E)为含锡(铁)闪锌矿+铁锰碳酸盐+少量方铅矿+少量黄铜矿(深部)→(铁)闪锌矿+铁锰碳酸盐+少量方铅矿+黄铁矿+毒砂+少量银黝铜矿+少量石英(中深部)→方铅矿+闪锌矿+脆硫锑铅矿+铁锰碳酸盐+硫锑铅矿+少量银黝铜矿+石英(中部)→辉锑矿+方铅矿+少量闪锌矿+石英+少量铁锰碳酸盐(浅部),对应的元素分带为Zn(Pb+Ag+Cu+Sn)→Zn(Pb+Ag)→Zn+Pb(Sb+Ag)→Pb+Sb+Ag+Zn。矿区银矿化主要集中在Ⅴ号矿体ZK2703-ZK2302、ZK1502-ZK1105和ZK806三个区域,与铅锑矿化关系密切。矿石中银主要以类质同象的形式存在,独立银矿物相对较少。其中,类质同象银主要赋存在方铅矿中,少量赋存在硫锑铅矿、脆硫锑铅矿、毒砂、黄铁矿等金属硫化物中;独立银矿物有少量的银黝铜矿、硫锑铅银矿、银(含银)硫铜锑矿。成矿流体中铅、锌、锑、银的运移和富集沉淀是受体系中温度、压力、浓度、pH值等多种因素综合控制的结果。     

Changes of Biogenic Elements in Phragmites australis and Suaeda salsa from Salt Marshes in Yellow River Delta,China

Little information is available on biogenic elements(carbon, nitrogen, phosphorus and sulfur) and the ecological stoichiometric characteristics of plants in coastal wetlands. To investigate the contents of carbon, nitrogen, phosphorus and sulfur of plants, and their ecological stoichiometric characteristics in the Yellow(Huanghe) River Delta, plant samples were collected from two typical salt marshes(Suaeda salsa and Phragmites australis wetlands) during the period of from August to October in 2007, and the ratios of C/N, C/P, N/P, C/N/P and C/N/P/S were calculated. Results showed that during the studying period, plant C, N and P were lower than the global average values, and plant N and P were lower than the China's average values. Leaf C and S in Suaeda salsa were significantly lower than those in Phragmites australis(P 0.05), and leaf N and P in Suaeda salsa and Phragmites australis showed no significant differences(P 0.05). Average C/N ratios were 23.75 in leaf, 73.36 in stem, 65.67 in root of Suaeda salsa, and 33.77 in leaf, 121.68 in stem, 97.13 in root of Phragmites australis. Average C/N ratios of Suaeda salsa and Phragmites australis were all great than 25, indicating the salt marsh in the Yellow River Delta is an N limitation system. Average C/P ratios were 276.78 in leaf, 709.28 in stem and 1031.32 in root of Suaeda salsa, and 536.94 in leaf, 768.13 in stem and 875.22 in root of Phragmites australis. The average N/P ratios of Suaeda salsa were 12.92 in leaf, 10.77 in stem and 10.91 in root, and the average N/P ratios of Phragmites australis were 16.40 in leaf, 7.40 in stem and 6.92 in root, indicating the Suaeda salsa wetlands were N limited and Phragmites australis wetlands were N limited in August and P limited in October in 2007. The average C/N, C/P and C/N/P ratios in Suaeda salsa and Pragmites australis were higher than the global average values, indicating the lower quality of organic matter provided by wetland plants in the Yellow River delta.     

Spatial distribution of large-scale landslides induced by the 5.12 Wenchuan Earthquake

The 5.12 Wenchuan Earthquake in 2008 induced hundreds of large-scale landslides. This paper systematically analyzes 112 large-scale landslides (surface area > 50000 m2), which were identified by interpretation of remote sensing imagery and field investigations. The analysis suggests that the distribution of large-scale landslides is affected by the following four factors: (a) distance effect: 80% of studied large-scale landslides are located within a distance of 5 km from the seismic faults. The farther the distance to the faults, the lower the number of large-scale landslides; (b) locked segment effect: the large-scale landslides are mainly located in five concentration zones closely related with the crossing, staggering and transfer sections between one seismic fault section and the next one, as well as the end of the NE fault section. The zone with the highest concentration was the Hongbai-Chaping segment, where a great number of large-scale landslides including the two largest landslides were located. The second highest concentration of large-scale landslides was observed in the Nanba-Donghekou segment at the end of NE fault, where the Donghekou landslide and the Woqian landslide occurred; (c) Hanging wall effect: about 70% of the large-scale landslides occurred on the hanging wall of the seismic faults; and (d) direction effect: in valleys perpendicular to the seismic faults, the density of large-scale landslides on the slopes facing the seismic wave is obviously higher than that on the slopes dipping in the same direction as the direction of propagation of the seismic wave. Meanwhile, it is found that the sliding and moving directions of large-scale landslides are related to the staggering direction of the faults in each section. In Qingchuan County where the main fault activity was horizontal twisting and staggering, a considerable number of landslides showed the feature of sliding and moving in NE direction which coincides with the staggering direction of the seismic faults.     

基于遗传算法的瞬变电磁法线圈阵列优化设计

为解决瞬变电磁检测技术遇到地底干扰物时在探测精度方面的不足,从载流直导线出发,利用磁场矢量叠加原理,计算单个正三角形空间磁场分布,设计了一种正三角形发射线圈阵列。为得到更好的磁聚焦特性,利用遗传算法对线圈阵列的具体参数进行优化。仿真结果表明:87.5%及以上的磁场能量集中在半径0.113m的特定区域内。说明该线圈阵列在较小目标区域实现了聚焦,具有良好的聚焦性,可以应用在瞬变电磁检测技术发射回线中。