印度尼西亚苏门答腊岛Woyla金矿流体包裹体研究及矿床成因分析

印度尼西亚Woyla金矿床位于西苏门答腊地体北段,为一中型规模的金矿床。本文通过对含矿石英脉开展详细的流体包裹体显微测温、成分分析,结合石英的H-O同位素和黄铁矿的S同位素特征分析,结果如下：其中,流体包裹体研究结果表明,含金石英脉中的石英主要发育气液两相包裹体,包裹体均一温度变化范围为152～324℃,集中在200～280℃。盐度为(0.88～6.16)wt%NaCleqv,集中在(1.00～3.00)wt%NaCleqv,成矿流体密度为0.70～0.94g/cm3,平均为0.82g/cm3。成矿压力为9.63～25.84MPa,平均值为18.37 MPa。成矿深度为0.96～2.58km,平均为1.86km,以上显示Woyla矿床成矿流体具有中低温低盐度和浅成的特征。包裹体气、液相成分测定显示气相成分以H2、N2、CO 、CO2、CH4和H2O为主;液相成分中阳离子以Na+、K+和Ca2+为主,阴离子以富SO42-和Cl-为特征,成矿流体属Cl--SO42--Ca2+-K+型。氢氧同位素测定显示成矿流体δ18DV-SMOW=-78.3‰～-92.4‰,δ18OH2O=-3.0‰～-5.5‰,主要来自大气降水,可能有少量岩浆水参与。黄铁矿硫同位素组成为-0.21‰～1.22‰,平均值为0.34‰,说明成矿物质的S具有深源岩浆硫的特征。结合矿床地质特征和成矿流体研究,首次提出Woyla金矿床属典型的低硫型浅成低温热液型金矿床。     

季节性低温胁迫下陇东黄土高原油污土壤环境因子对耐冷混合菌场地生态修复的响应

为了揭示季节性低温胁迫下陇东黄土高原油污土壤环境因子对耐冷混合菌场地生态修复的响应机制,利用自主筛选构建的耐冷石油降解混合菌在甘肃省庆阳市庆城县马岭镇长庆油田陇东油泥处理站开展了为期7个月的场地修复实验,采用常规方法测定了不同季节土壤理化特性、酶活性和微生物群落特性等环境指标。结果表明：（1）在季节性低温胁迫下（9-11月）M2组（耐冷混合菌处理组）月平均降解率明显增加（P<0.01）,JZJ+M1组（金盏菊联合常温混合菌处理组）和M2组累计TPH降解率分别为15.37%±3.51%和28.64%±4.12%。（2）M2组土壤脱氢酶和多酚氧化酶在低温季节（LT）活性最高,且温度和处理存在显著交互作用（P<0.01）。在土壤营养元素方面,无论何种处理方式（JZJ+M1和M2）二者含量均为RT（常温季节）高于LT（P<0.05）,同时明显高于CK组（P<0.05）。（3）M2组土壤微生物群落Shannon-Wiener指数和均匀度指数在LT高于RT（P<0.05）。（4）NMDS和Pearson相关性分析结果显示,M2组在低温季节具有较高TPH降解率主要与土壤多酚氧化酶、脱氢酶、单月TPH降解率（μ2）和Shannon-Wiener指数有关,且均呈极显著正相关关系。通过分析环境因子的季节响应,优化场地修复在低温环境的降解条件、加速低温期石油烃降解速率,以期为陇东地区低温耐冷混合菌场地生态修复技术的推广应用提供参考和基础数据资料。     

2017年九寨沟7.0级地震序列震源机制解和构造应力场特征

九寨沟余震序列的震源机制和构造应力场有助于认识本次地震的发震构造和孕震机理。本文基于四川区域地震台网的波形资料, 采用波形拟合(CAP)方法和P波初动+振幅比(HASH)方法反演得到2017年8月8日九寨沟7.0级地震序列中59次ML≥3.0地震的震源机制解, 并基于该结果采用阻尼线性逆推法(DRSSI), 计算研究区域的平均构造应力场, 给出该区域的应力场特征。结果显示, 利用CAP方法反演得到的本次主震的最佳双力偶机制解节面I: 走向248°/倾角86°/滑动角–169°, 节面II: 走向157°/倾角79°/滑动角–4°, 矩震级为Mw6.31, 矩心深度5 km, 属走滑型地震事件; 大部分余震的震源机制解错动类型与主震一致, 矩心深度集中在3~10 km; 应力场反演结果显示, 该区域周边的应力性质为走滑型, 最大主应力方向呈NWW–SEE向, 与该区域的应力场方向一致, 表明本次地震主要受区域应力的控制。结合该区域的地震地质构造等已有研究成果, 分析认为此次地震的发震断层为走向NW–SE、倾向SW的左旋走滑断裂——树正断裂, 巴颜喀拉块体向E-SE向的水平运动受到华南块体的强烈阻挡导致此次地震的发生, 汶川地震的发生对本次地震具有一定的促进作用。     

沟岸侧蚀对泥石流不稳定动力过程的影响

泥石流作为非牛顿体,屈服应力大,运动过程通常不稳定。前人建立了许多模型来研究沟床揭底和堰塞体溃决对泥石流不稳定动力过程的影响,沟岸侧蚀对泥石流不稳定动力过程的影响研究较少。通过侧蚀为主的模型和完全底蚀的模型两种水槽实验的对比,针对泥石流的动力过程展开研究。实验发现两种工况条件下泥石流正应力和孔隙水压力随着龙头高度沿程波动性的增长而相应地波动性增大,但侧蚀作用使得这种波动特征更加明显。通过力学分析,证明侧蚀作用导致泥石流龙头的阻力更大,但是龙身颗粒和龙头颗粒的速度差更大,使得龙头附加坡降更大,因此,侧蚀作用使得泥石流龙头的平均速度更快。泥石流龙头浓度和容重的不断增大,使得阻力不断增大,阻力和动力的动态平衡关系是泥石流不稳定运动的原因之一。     

内蒙古翁公敖包航磁异常的推断与解释

文章对内蒙古四子王旗—土默特右旗中北部近年发现的翁公敖包航磁异常进行推断与解释,在对找矿有望的航磁异常进行筛选后,对翁公敖包航磁异常进行了野外地质-地球物理查证,确定异常为铁矿所致;采用向上延拓、垂向导数、斜导数及小波变换等方法对航磁异常进行数据转换处理,以获取铁矿体的横向及纵向分布信息,取得了较好的效果。     

Spatio-temporal Distribution of Three Kinds of Flash Droughts over Agricultural Land in China from 1983 to 2015

At present, flash drought occurs globally and regionally and causes a lot of socio-economic loss in a very short time. Therefore, flash drought has been regarded as one of the hottest issues in drought research. However, flash drought monitoring, prediction and decision-making have encountered a lot of challenges due to its multiple driven factors and complex spatio-temporal process. Aiming at this problem, this paper focused on the agricultural land in China, and analyzed the spatio-temporal distribution of three kinds of flash droughts (i.e., precipitation-deficit, high-temperature, and composite flash droughts) from 1983 to 2015. We studied the occurrences, duration, spatial distribution, temporal distribution, and trend of all three kinds of flash droughts. Our results demonstrated that, the occurrences of flash drought agricultural land in China increased year by year, among which high-temperature flash drought increased dramatically; duration of flash droughts had different trends, but the variations were relatively smooth; Northeast China was identified as a vulnerable area of flash drought, indicating more flash drought events and longer duration; flash droughts in China were found to concentrate in spring (high-temperature drought) and summer seasons (precipitation-deficit drought). This study is helpful for building new flash drought monitoring method and system, and it is also valuable for flash drought preparedness on regional scale.     

A location-aware GIServices quality prediction model via collaborative filtering

The quality of GIServices (QoGIS) is an important consideration for services sharing and interoperation. However, QoGIS is a complex concept and difficult to be evaluated reasonably. Most of the current studies have focused on static and non-scalable evaluation methods but have ignored location sensitivity subsequently resulting in the inaccurate QoGIS values. For intensive geodata and computation, GIServices are more sensitive to the location factor than general services. This paper proposes a location-aware GIServices quality prediction model via collaborative filtering (LAGCF). The model uses a mixed CF method based on time zone feature from the perspectives of both user and GIServices. Time zone is taken as the location factor and mapped into the prediction process. A time zone-adjusted Pearson correlation coefficient algorithm was designed to measure the similarity between the GIServices and the target, helping to identify highly similar GIServices. By adopting a coefficient of confidence in the final generation phase, the value of the QoGIS most similar to the target services will play a dominant role in the comprehensive result. Two series of experiments on large-scale QoGIS data were implemented to verify the effectivity of LAGCF. The results showed that LAGCF can improve the accuracy of QoGIS prediction significantly.     

Mapping hourly dynamics of urban population using trajectories reconstructed from mobile phone records

Understanding the spatiotemporal dynamics of urban population is crucial for addressing a wide range of urban planning and management issues. Aggregated geospatial big data have been widely used to quantitatively estimate population distribution at fine spatial scales over a given time period. However, it is still a challenge to estimate population density at a fine temporal resolution over a large geographical space, mainly due to the temporal asynchrony of population movement and the challenges to acquiring a complete individual movement record. In this article, we propose a method to estimate hourly population density by examining the time‐series individual trajectories, which were reconstructed from call detail records using BP neural networks. We first used BP neural networks to predict the positions of mobile phone users at an hourly interval and then estimated the hourly population density using log‐linear regression at the cell tower level. The estimated population density is linearly correlated with population census data at the sub‐district level. Trajectory clustering results show five distinct diurnal dynamic patterns of population movement in the study area, revealing spatially explicit characteristics of the diurnal commuting flows, though the driving forces of the flows need further investigation.     

外缺圆圆心检测

圆心检测中,圆的边缘缺损会影响圆心检测的精度。霍夫圆圆心检测具有良好的稳定性,但是精度稍低;最小二乘圆拟合,具有较高的精度,但是易受噪声点的干扰。针对这种情况,本文提出了一种基于霍夫圆的亚像素缺损圆圆心检测方法。先利用霍夫圆检测出粗略圆心坐标及半径,再利用轮廓检测技术提取出所有轮廓点的坐标,并根据霍夫圆检测出圆心及半径对轮廓坐标进行筛选,保留在圆上的轮廓坐标,并利用这些轮廓点坐标进行最小二乘圆拟合求出圆心。实验结果表明,该方法适用性较广,简单可靠,精度高。