Characteristics and Origins of Suspended Pyrite in the Mixing Zone of the Yangtze Estuary

For a long time, most studies about pyrite have focused on sediments while only a few have focused on pyrite in water. In this study, a method that combines the scanning electron microscopy(SEM) and the energy dispersive X-ray spectrometry(EDS) was used to compare pyrite particles suspended in water to those in associated bottom sediments, both obtained from the mixing zone of the Yangtze Estuary. It was found that the pyrite particles in the two media have similar morphologies and size distributions. The particle morphology mainly includes two types, single crystal and aggregate, and the particle size mainly ranges from 0.5 to 2 μm. The pyrite particles in water exhibit an increase in relative content towards the sea, and their transport and deposit processes are mainly affected by hydrodynamic conditions. It is concluded that the pyrite particles in the suspended matter mainly derived from the resuspension of sediments, which are products of the early diagenesis. Precursor minerals may appear during the formation of pyrite, but are generally restricted by the diagenetic environment and local microenvironment.     

新疆精河M_W6.3地震产生的静态应力变化研究

利用精河M_W6.3地震有限断层破裂模型,计算了精河地震产生的位移场、应力场、周围主要断层上的静态库仑应力变化以及主震对余震的触发作用。结果表明:(1)精河地震产生的地表隆升最大值约为6.6cm,沉降最大值约为1.8cm;水平位移方向呈现震中南北侧向震中汇聚、震中东西侧向外"流出"的特点。(2)精河地震产生的水平面应力场展布南北侧物质主要受到指向震中的拉张力作用,东西两侧物质主要受到因震中过剩物质东西向排出而导致的东西向挤压力作用。(3)震中西侧距震中约20km的库松木契克山前断裂中段和震中东北部距震中约50km的四棵树-古尔图南断裂西段的库仑应力加载均大于0.01MPa,即2处为地震危险区。(4)在震源深度为8~12km的余震事件中,约有85.5%处于库仑应力加载区,即受到主震的的触发作用;在深度为4~8km的余震事件中,约有87%受到主震的应力触发作用。     

若干西边界潜流的气候态分布特征

"西边界潜流(WBUC)"是海洋环流中的重要现象,与表层环流相比,对次表层潜流的结构认识不足。本文利用SODA、OFES和ARGO资料,分析了北太平洋中的棉兰老潜流(MUC)和吕宋潜流(LUC)、南太平洋中的大堡礁潜流(GBRUC)和东澳大利亚潜流(EAUC)及南印度洋中的阿加勒斯潜流(AUC)的气候态空间分布特征,并且根据地转流反向的判据,分析WBUC的发生条件。     

A machine learning approach for predicting computational intensity and domain decomposition in parallel geoprocessing

ABSTRACT

High performance computing is required for fast geoprocessing of geospatial big data. Using spatial domains to represent computational intensity (CIT) and domain decomposition for parallelism are prominent strategies when designing parallel geoprocessing applications. Traditional domain decomposition is limited in evaluating the computational intensity, which often results in load imbalance and poor parallel performance. From the data science perspective, machine learning from Artificial Intelligence (AI) shows promise for better CIT evaluation. This paper proposes a machine learning approach for predicting computational intensity, followed by an optimized domain decomposition, which divides the spatial domain into balanced subdivisions based on the predicted CIT to achieve better parallel performance. The approach provides a reference framework on how various machine learning methods including feature selection and model training can be used in predicting computational intensity and optimizing parallel geoprocessing against different cases. Some comparative experiments between the approach and traditional methods were performed using the two cases, DEM generation from point clouds and spatial intersection on vector data. The results not only demonstrate the advantage of the approach, but also provide hints on how traditional GIS computation can be improved by the AI machine learning.     

淮河上游暴雨事件评估模型

暴雨灾害是我国面临的主要气象灾害之一,对其进行评估具有重要的理论和现实意义。该文以气象降水数据为基础建立数据集,采用统计分析的方法建立暴雨事件评估模型,对淮河流域上游的暴雨事件进行评估。该模型选取了4项描述暴雨事件的指标:区域平均日降水量、区域最大日降水量、覆盖范围和持续时间,通过对淮河上游16个站1961—2007年逐日降水量资料的统计分析,按概率分布划分出这4项指标的各等级标准,从而建立暴雨事件等级标准评估矩阵,而需要评估的暴雨事件等级则通过计算该暴雨事件各指标所组成的向量与等级标准评估矩阵中各等级所组成的列向量之间的欧式距离来确定。通过对历史资料及2008年4月—2010年7月发生的暴雨事件实况资料进行评估,发现评估结果与其所造成的实际影响对应较好,说明该模型对暴雨事件等级的划分较为合理。     

Geometric form of Haiyuan fault zone in the crustal interior and dynamics implications

The deep seismic reflection data on profile HY2 are reprocessed by the method of simultaneous inversion of velocity distribution and interface position. By the travel-time inversion with the data of the diving wave Pg and fault plane reflection wave, we determine the geometric form and velocity of Haiyuan fault zone interior and surrounding rock down to 10 km depth. The measured data show that the amplitudes have strong attenuation in the range of stake number 37–39 km, suggesting the fault zone has considerable width in the crustal interior. The results of this paper indicate that to the north of the fault zone the crystalline basement interface upheaves gradually from southwest to northeast and becomes shallow gradually towards northeast, and that to the south of the fault zone, within the basin between Xihua and Nanhua mountains, the folded basement becomes shallow gradually towards southwest. The obliquity of the fault zone is about 70° above the 3 km depth, about 60° in the range of the 3–10 km depths. From the results of this paper and other various citations, we believe that Haiyuan fault zone is in steep state from the Earth’s surface to the depth of 10 km. Foundation item: Joint Seismological Science Foundation of China (201001) and State Key Basic Research Development and Programming Project (95-13-02-02). Contribution No. RCEG200308, Exploration Geophysical Center, China Earthquake Administration.     

鄂尔多斯盆地延川南区块目的煤层含气性分析

为计算鄂尔多斯盆地延川南区块煤层气资源量、甄选有利区带及确定先导性试验井组的部署,对全区探井的煤层含气性进行综合分析。结果显示:区块内煤层气含量为5.54~19.56m3/t;兰氏体积为13.59~33.78m3/t,兰氏压力为2.06~3.72MPa,含气饱和度为41.48%~92.19%;临储压力比为19.18%~84.28%。区块整体含气性显示较好,开发较为有利,其中以包括Y3、Y6等井在内的万宝山构造带为煤层气开发的最有利区带。     

塔河油田巴楚组底部砂泥岩段沉积特征

塔河油田下石炭统巴楚组底部砂泥岩段岩性复杂,沉积相类型及分布规律不清楚。利用岩心观察、连井剖面对比、薄片分析、地震属性分析等方法,对巴楚组底部砂泥岩段沉积特征进行系统研究。结果表明:巴楚组底部砂泥岩段主要为冲积扇、潟湖、障壁型滨岸相沉积。冲积扇沉积发育于工区北部S85井附近,为北东-南西向展布的朵状体,岩性以大套细-中砾岩为主,物性差,不具储集能力;潟湖沉积分布于工区南部古鼻凸西南轴部,岩性主要为钙质泥岩、泥灰岩;障壁岛沉积位于工区南缘,沿北东东向平行于阿克库勒古鼻隆轴线分布;滨岸沉积位于工区西南部,主要发育临滨亚相,以细砂岩沉积为主。障壁沙坝和滨岸临滨砂岩的储集能力良好。     

北京稳定天气条件下城市边界层环流特征数值研究

采用科罗拉多大学和MRC／ASTER共同开发的区域大气模拟系统（RAMS）对北京地区稳定天气条件下的个例进行数值模拟,通过对数值模拟结果与观测事实的比较以及敏感性试验,分析了北京城市边界层环流特征和环流影响因子在环流发展过程中的作用。结果表明：①在山谷风环流和热岛环流相互作用下形成了北京城市边界层流场特有的局地环流。②热岛中心在决定边界层环流的辐合区位置上起相对较大的作用,边界层环流的强度和发展高度由山谷风强度和热岛强度共同决定。     

顾及噪声密度函数差异的自适应回归算法及其在人工标靶提取中的应用

仪器、周围环境和人为操作等往往会造成点云中包含大量的噪声,导致模型回归精度低等问题.RANSAC算法凭借其简单实现、稳健的优势广泛应用于解决模型回归的问题.但是,针对不同的场景,RANSAC算法需要不断地调整参数来估计最优模型解.本文考虑到RANSAC及其现有改进算法的不足,以及内群点与噪声之间往往存在密度分布差异性,...