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.     

利用彭曼公式计算潜在蒸发的高度订正方法

英国学者H.L.彭曼推导的计算潜在蒸发公式,具有较可靠的物理基础和较精确的计算等优点,被国内、外学者广泛应用。 彭曼公式     

卫星观测的我国近海海域闪电分布特征

利用星载闪电探测仪OTD（optical transient detecter）和LIS(lightning imaging sensor)所获取的1995年6月—2006年4月的卫星闪电资料,结合NOAA Optimum Interpolation SST 海温资料,分析我国近海海域的闪电分布时空特征以及闪电活动与该海域海温之间的相关性。结果表明：我国近海闪电密度平均值为3.39 fl·km-2·a-1,其中,南海和渤海的闪电活动相对频繁,随着与海岸线间距离以及纬度的增加,该海域闪电密度逐渐下降;在春季和冬季,黑潮主干海域的海温值相对较高,该处闪电活动也明显强于同纬度的东海近海和太平洋海域,表明黑潮海域是强闪电活动区;在季节变化上,我国近海海域闪电活动与同海域海温呈明显正相关,相关系数达0.797,闪电活动与海温变化体现出了一致的变化趋势;而在年际变化上,我国近海海域闪电活动与该海域海温的线性相关不显著,说明我国近海海域海温的年际变化并不是引起该海域闪电活动年际变化的主要原因。     

Big spatial data for urban and environmental sustainability

ABSTRACT

Eighty percent of big data are associated with spatial information, and thus are Big Spatial Data (BSD). BSD provides new and great opportunities to rework problems in urban and environmental sustainability with advanced BSD analytics. To fully leverage the advantages of BSD, it is integrated with conventional data (e.g. remote sensing images) and improved methods are developed. This paper introduces four case studies: (1) Detection of polycentric urban structures; (2) Evaluation of urban vibrancy; (3) Estimation of population exposure to PM2.5; and (4) Urban land-use classification via deep learning. The results provide evidence that integrated methods can harness the advantages of both traditional data and BSD. Meanwhile, they can also improve the effectiveness of big data itself. Finally, this study makes three key recommendations for the development of BSD with regards to data fusion, data and predicting analytics, and theoretical modeling.     

The Weakening of the Asian Monsoon Circulation after the End of 1970＇s

The transition of the global atmospheric circulation in the end of 1970＇s can clearly be detected in the atmospheric temperature, wind velocity, and so on. Wavelet analysis reveals that the temporal scale of this change is larger than 20 years. Studies in this work indicate that the trend of the transition over the mid-latitude Asia is opposite to that of global average for some variables at the middle troposphere. Another finding of this research is that the African-Asian monsoon circulation is weaker and the trade wind over the tropical eastern Pacific is weaker as well after this transition. Such a signal may be found in the summer precipitation over China as well.     

辽河盆地东部凹陷热历史及构造—热演化特征

根据辽河盆地东部凹陷大地热流测量和镜质体反射率数据,恢复了该区的热历史,结果表明:东部凹陷热流呈现古热流高现今热流低的变化特征,沙河街组三段沉积期到东营组沉积期(距今43～25Ma)盆地热流为66～82mWm2,现今热流值为47～70mWm2。构造沉降史分析显示,盆地经历了早期的裂谷阶段(距今43～25Ma)和后期的热沉降阶段,裂谷阶段包含了两个裂谷亚旋回。盆地现今较低的大地热流和较高的古热流及典型的裂谷型构造沉降样式为东部凹陷的构造—热演化提供了重要认识。     

Determination of kolmogorov entropy of chaotic attractor included in one—dimensional time series of meteorological data

The 1970-1985 day to day averaged pressure dataset of Shanghai and the extension method in phase space are used to calculate the correlation dimension D and the second-order Renyi entropy K2 of the approximation of Kolmogorov’s entropy, the fractional dimension D = 7.7~7.9 and the positive value K2 ≈ 0.1 are obtained. This shows that the attractor for the short-term weather evolution in the monsoon region of China exhibits a chaotic mo-tion. The estimate of K2 yields a predictable time scale of about ten days. This result is in agreement with that ob-tained earlier by the dynamic-statistical approach.The effects of the lag time τ on the estimate of D and K2 are investigated. The results show that D and K2 are convergent with respect to τ. The day to day averaged pressure series used in this paper are treated for the extensive phase space with τ = 5, the coordinate components are independent of each other; therefore, the dynamical character quantities of the system are stable and reliable.     

利用Windows 2000构造上海市地震局虚拟专用网

利用Windows2000中的Point—to—Point Tunneling Protocol(PPTP)协议和Microsoft ISA Server防火墙实现上海市地震局局内财务小网与局域网之间的安全互联、局中心与各区县地震办公室以及远程移动用户之间的可靠VNP连接。     

基于空三模型实现非接触式实测地质剖面解决方案研究

本文提出的"基于空三模型实现非接触式实测地质剖面解决方案",是通过导出空间三维模型剖面多段线三维坐标,使用自主开发的辅助软件,在AutoCAD中快捷生成剖面图。通过实践,该方案能快速完成无需人工到实地进行实测的实测剖面工作,尤其危岩体勘查中能精确反映高陡崖区微地貌起伏形态和结构面特征,解决了人工实测无法完成的工作。     

JOPENS数据库的平滑迁移

由于现使用的测震软件JOPENS系统是建立在MySQL数据库上的,MySQL数据库是面对中小型企业的开源数据库,其性能与稳定性都不及现在主流Oracle。阐述了在MetaMatrix的基础上,实现JOPENS数据库从MySQL到Oracle的平滑迁移。