基于职业特性驱动的旅游劳工转移比较研究

以九华山旅游劳工为实证研究对象,通过与西方学者在匈牙利和英国Somerset和Cov-entry的比较研究探讨了职业特性驱动的旅游劳工转移模式和转移动机。研究发现旅游劳工转移产业分布十分均衡宽广,产业转移模式与区域经济背景、劳工市场结构、职业地位及收益的差异密切相关。他们对从业感知评价都十分积极,三十种动机变量排序和因子分析表明,旅游劳工转移存在5种动机方向,增收机会和旅游职业积极特性是主要动力因子。九华山与匈牙利、英国Somerset和Coventry虽然经济社会背景相差较大,但旅游劳工在转移模式、感知评价、转移动机上表现出来许多共性特征,揭示了旅游职业的诸多特性。     

波形识别在层位对比中的应用

从波形识别入手,详细讨论了波形在时间域和频率域特征,给出其提取算法,以及波形识别的ＢＰ神经网络结构,然后提出了一种较简便、实用的波形组识别算法并将它应用于断层两侧层位的对比,取得了令人满意的实际效果     

东亚季风边缘区气候代用指标的分形比较及其意义

利用R/S分析东亚季风边缘区祁连山教德冰心、树木车轮、黄土磁化率、CaCO3含量曲线,得到其分维值分别为1．29、1．30、1．19和1．15,证实近百万年来东亚率风演变的特征是长期持续的,即季风边缘区具有干净化趋势,且旱化趋势的成分更为明显。其中,冰心δ18O比率、年轮指数的分维数与乌鞘岭年平均温度记录的分维值1．25接近,黄土磁化率和CaCO3含量的分维数与年降水量记录的分维值1．19一致。虽然这些气候指标是用不同物理单位测量并在不同时间尺度记录的,但分形分析可对它们进行数学比较,从而揭示出不同信息源所包含的气候意义。     

近岸区不规则波成长模型的研究──Ⅱ.模型的数值求解和验证

在建立近岸区不规则波成长模型的基础上,研究了波浪射线计算、传播能量守恒计算以及成长与衰减能量平衡计算的方法和格式处理,讨论了波数场、风场、水位和流场的确定方法。应用该模型计算了大亚湾的二维波谱场。与该海湾956波浪仪实测资料对比,表明该模型的计算结果与实测资料相符良好。特别指出的是,在该模型的计算结果中周期随波浪的传播而变化。     

罗布泊盐湖过去2000a气候变化曲线的全球对比

根据近年来对过去2000a气候变化研究成果,通过遥感方法将罗布泊盐湖近2000a 气候变化记录与不同地区、不同类型的气候变化曲线进行对比分析,探索了现代盐湖对气候事件的响应机制,并证明了罗布泊盐湖沉积物的气候变化曲线具有明确的古气候意义。研究表明在公元1300～ 1500a 区间,罗布泊盐湖气候记录与北半球千年来地面空气温度变化的相关性大于0. 8;千年尺度变化与古利雅冰芯曲线较一致,气候变化趋势是缓慢上升; 600a 以来,与北京石花洞石笋微层记录曲线有较好的相关性;相对于北半球区域气候,在公元13世纪前后出现过滞后现象。      

COMPARATIVE EXPERIMENTS OF DYNAMICAL FORECAST AND STATISTICAL FORECAST

After analyzing the advantages and disadvantages of dynamical system and statistical system.some simple models with the equations of Lorenz system and auto-regresslon model have beenrespectively set up,and comparative experiments conducted.The result of the research demonstratesthat in chaotic parametric domain,the accuracy of statistical forecast is higher than that of dynamicalforecast,while in non-chaotic parametric domain,dynamical forecast is more accurate than statisticalforecast.     

国土调查与地理国情数据对比分析方法研究

地理国情监测和国土调查都属于不同角度的国情国力调查,对两者数据进行挖掘具有积极的意义.通过对两者的分类、数据等方面进行分析,基于分类语义的异同性,提出了覆盖两者全部数据分类的对比分析方法,对数据差异性分析方法及主要原因进行了介绍,并建立了操作流程.通过该对比分析方法形成的数据及分析结果可为进一步挖掘及应用数据提供可靠的...     

Marine Ingressive Events Recorded in Epicontinental Sequences:Example from the Cretaceous Songliao Basin of NE China in Comparison with the Triassic Central Europe Basin of SW Germany

Songliao Basin is filled predominantly with continental facies sediments including alluvial fan, fluvial plain, fan delta, lacustrine delta, shore - shallow lacustrine, beach salty flat, semi - deep to deep lacustrine, subaqueous gravity flow,lacustrine swamp and pyroclastic sediments. However, some event units were formed during lake - marine linking periods of the Mid - Cretaceous in the basin, which include black shales with high values for salinity (Sr/Ba) , alkalinity ( Ca + Mg)/(Si + Al) , reducibility (Ni + Zn)/Ga and sulfide sulfur as well as heavy isotopes. The Breitenholz -section to be represented for facies comparison with the Cretaceous evaporitic series in Northeast China is localized in Southwest Germany. Stratigraphically it belongs to the Crabfeld Formation of Keuper of the Germanic Triassic corresponding to Ladinian - Carnian of the international reference scale, and is generally called Lower Gipskeuper. The Germanic Triassic was deposited in the epicontinental (cratonic) central Europe Basin. It covered the area in between Great Britain, North Sea, Poland and Southern Germany. It is composed of cyclic deposits of multicolored mudstones, gypsum/anhydrite, and dolomite beds. The two cases of marine ingression - influenced sequences share some common features.     

用于守时工作的时间间隔计数法与双混频时差测量比对法的比较

为了比较用于守时工作的时间间隔计数法和双混频时差测量法,分析了国家授时中心时频基准实验室的两种测量比对设备(SR620时间间隔计数器和PCOMP多通道相位比较仪)对同一组原子钟进行测量时所得到的结果(钟的速率、RMS、测量精度和稳定度)。分析所得的主要结论是:双混频时差测量法具有更高的比对精度,更适用于氢原子钟短期(τ≤5 d)稳定度的测量。     

A randomization test for the comparison of ordered sequences

Several algorithms, based on dynamic programming techniques, for comparing, matching, or cross-correlating two ordered sequences of observations now exist. All such algorithms produce one or more optimal matchings, no matter what data are used. This paper presents an empirical method, based on a randomization test, for assessing how well the given sequences are matched or slotted together. The randomization test is designed to test the assumption, implicit in most cross-correlation algorithms, that both sequences comprise observations, at unknown but ordered times, from the same underlying yet unknown function of time. The test is intuitively appealing, easy to implement, works well on both artificial and real data, and requires no complicated parametric modelling.