Short-term statistics of waves measured off Ratnagiri,eastern Arabian Sea

The short-term wave characteristics are required for design and operation of industrial facilities within the coastal areas. Water surface displacement measured using waverider buoy moored at 13 m water depth in the eastern Arabian Sea off the west coast of India have been analyzed to study the short-term statistics of waves covering full one year period. The study indicates that the values of the observed maximum wave height as a function of duration are not consistent with the theoretical expected value. There is significant variation (1.29–2.19) in the ratio between highest 1% wave and significant wave height compared to the theoretical value of 1.67. The data recorded at 13 m water depth indicates that the significant wave height is ∼8% lower than that predicted by the conventional Rayleigh distribution. The theoretical bivariate log-normal distribution represents the joint distributions of wave heights and periods for the study area.     

Availability of offloading from an LNG barge

Long-term data sets are discussed for three locations – a southern North Sea location, where sea states are typically dominated by wind-sea conditions, a Northwest Shelf of Australia location, where sea states are often a mix of wind-sea and swell conditions, and a Guinea Gulf location offshore Nigeria, where sea states are dominated by swell. Various types of sea state statistics that have application to availability studies are presented; but databases of these type that also include wind and current data can also be used to estimate response parameters, which can give a more direct assessment of availability, and some example statistics of these are also given. Finally, the availability of offloading an FLNG barge to carrier is evaluated for each of the data sets, for specific operability criteria. Two types of operability criteria are used in the availability evaluations, and the results compared.     

1996—2013年上海虹桥机场低能见度及低跑道视程特征分析

利用1996—2013年上海虹桥机场逐时地面观测资料,对影响机场正常运行的主导能见度低于800 m（低能见度）和跑道视程（RVR）低于550 m（低RVR）时次的出现次数进行统计分析,得到以下结论：1996—2013年虹桥机场除2002年低RVR时次出现较多外,其余年份均为低能见度时次出现更多;低能见度及低RVR时次出现次数分别以57次/年和26次/年的速率减少;季节变化特征显示两者均在12月出现最多,9月出现最少,11月至次年2月是两者出现的高频季节,5—9月为低频季节;一天中低能见度及低RVR多集中出现于19:00—01:00（世界时）,其中23:00达各自峰值;进入夜间后低能见度时次的出现比率首先较大,后半夜开始低RVR影响逐渐凸显。虹桥机场低能见度时次出现次数随能见度数值的降低呈先减少后增多趋势,低RVR时次则在150~200 m及0~50 m两个区间出现次数较多。     

Environmental dependence of stellar mass and stellar velocity dispersion of CMASS galaxies

In this study, I attempt to apply for a new statistical method and investigate the environmental dependence of stellar mass and stellar velocity dispersion in the CMASS sample of the Sloan Digital Sky Survey Data Release 9 (SDSS DR9). I divide the CMASS sample with redshifts 0.44 ≤ z ≤ 0.59 into many subsamples with a redshift binning size of Δz = 0.01, and analyze the environmental dependence of stellar mass and stellar velocity dispersion of subsamples in each redshift bin. It is found that stellar mass and stellar velocity dispersions of CMASS galaxies are very weakly correlated with the local environment. (© 2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

基于扫描统计的甲型H1N1流感聚集性分析

扫描统计已被广泛应用于地域性疾病的聚集性检测,且可检测这种聚集的差异显著性。文中使用扫描统计的方法,通过对2009~2012年全国各省的甲型H1N1流感数据进行时空扫描以及逐年的空间扫描,生成高发病率地区和低发病率地区聚类,并通过叠置分析反映各个地区归入聚类的频次。利用专题地图和统计表分析甲型流感在2009~2012年中的爆发情况和趋势,并对结果进行客观的分析。     

定量与定性分析在2017年精河MS6.6地震中的应用

为准确提取震前异常信息,以2017年新疆精河M_S6.6地震为例,基于乌鲁木齐台站W-N(k)测段数据,利用离差统计分析方法与原始曲线分析方法分别从定量与定性两个角度研究了地震前后的数据异常特征。结果显示,震前测段数据的变差系数成倍增大,离差分布曲线偏离正态分布,原始曲线出现大幅转折,断层活动形式出现明显变化,震后异常特征消失。通过效果图可知,结合两种方法分析数据异常具有一定的可行性,能为震前异常识别提供参考。     

A Statistical Analysis of the Theoretical Yield of Ethanol from Corn Starch

  This paper analyzes the Illinois State Variety Test results for total and extractable starch content in 708 samples of 401 commercial varieties of corn. It is shown that the normally distributed extractable starch content has the mean of 66.2% and the standard deviation of 1.13%. The corresponding maximum theoretical yield of ethanol is 0.364 kg EtOH/kg dry corn, and the standard deviation is 0.007. In the ethanol industry units, this yield translates to 2.64 gal EtOH/nominal wet bushel, and the standard deviation is 0.05 gal/bu. The U.S. ethanol industry consistently has inflated its ethanol yields by counting 5 volume percent of # 14 gasoline denaturant (8% of energy content) as ethanol. Also, imports from Brazil and higher alcohols seem to have been counted as U.S. ethanol. The usually accepted USDA estimate of mean ethanol yield in the U.S., 2.682 gal EtOH/bu, is one standard deviation above the rigorous statistical estimate in this paper.

一种自动搜索水准环及计算闭合差的方法研究

本文采用深度优先搜索算法(Depth-First-Search)实现自动搜索水准闭合环,并结合ArcGIS的图形拓扑关系技术来获得最小水准环的信息;将此项技术应用于水准测量闭合环的闭合差计算,最终实现了自动计算水准闭合环的闭合差及精度统计。     

基于局部空间统计的产业集群空间分析——以北京市制造业集群为例

将集群识别与空间分析相结合,通过全国集群模板识别产业集群,进而利用局部空间统计方法,探测产业集群的空间布局特征。利用2008年北京市和全国经济普查数据,从产业联系的角度识别了北京市制造业集群,在此基础上进一步测度了北京市制造业集群的空间分布现状与布局特征。研究发现,北京市制造业集群主要分布在近郊区并向远郊区延伸,资源条件、政策环境、交通区位、历史因素等多种区位因子均对集群的区位选择产生影响。从总体分布来看,北京市制造业集群的空间布局存在分布比较分散、功能重叠或与区县功能定位不符等问题。未来在政策制定时,应进一步强化北京市制造业集群的空间集聚,发挥区域产业政策的引导作用,并不断依托产业园区优化集群发展环境,引导符合区县功能定位的制造业集群发展。