对流边界层中的一个双高斯型PDF扩散模式

对流边界层（ＣＢＬ）中的污染扩散是非高斯型的。本文在下列三个假设下建立了双高斯型几率分布函数（ＰＤＦ）模式：１．对流边界层任一确定高度铅直速度Ｗ的几率分布函数ｐｗ由两个高斯分布迭加而成；２．从污染源释放的粒子具有源高的铅直速度几率分布，且其轨迹是线性的；３．粒子在地面的反射为全反射，在混合层高度Ｚｉ为全反射或有部分吸收。然后分析了三个高度上铅直速度Ｗ的一些统计特征量，比较了由ＰＤＦ模式计算的横风向积分浓度和Ｌａｍｂ的数值模拟［１－３］，Ｄｅａｒｄｏｒｆｆ的水槽模拟［４－６］结果，并用美国ＣＯＮＤＯＲＳ计划的外场试验资料［７］对ＰＤＦ模式进行了验证，结果均相当一致。     

华北地区大范围内中等地震活动平静的统计检验及其预测意义

以相邻２次地震的时间间隔作为统计量,对华北地区的地震活动异常平静进行了统计检验。统计结果表明,中小地震的时间间隔服从幂指数分布,对华北地区而言中强地震之前大范围内中小地震活动的异常平静现象是明显的,以９０％的置信概率主为,ＭＬ≥４．５地震持续１１０天以上的平静可判定为异常;约有７０％的平静出现之后,华北地区有ＭＳ≥５．０地震发生。     

基于概率加权估计的中国极端气温时空分布模拟试验

引入一种计算简便、有效性高,并可代替极大似然法的优良参数估计方法--概率加权法(PWM),利用Gumbel分布对中国极端气温时空变化特征作"当前"与"未来"气候的模拟试验.结果表明,这种方法具有较高的拟合优度.利用适应性较强的Weibull分布拟合中国逐日高(低)气温的原始分布,在此基础上,借助于蒙特卡洛随机模拟产生未来平均气候情景下的极端高(低)气温统计概率特征.模拟试验表明,在未来气候条件下,若平均气温升高1.0℃,中国各大区域极端高(低)气温的概率有一定的变动规律可寻.     

大连地区地震活动性分析及地震概率背景估计

根据统计计算大连地区１９９１年１１月至 １９９９年１月发生的２９９个ＭL≥２．０地震,得出目前该地区的地震活动规律,并对这期间的地震变化趋势进行了理论分析和概率背景估计,认为其间所发生的地震属于１９９３年３月１８日的大连满家滩南海ＭＬ４．３地震序列,从理论值和实测值的结果判断,该地震序列发生 ＭＬ≥５．０的可能性不大, 但不能排除该地震序列仍然存在着发生４．０≤ＭＬ＜５．０地震的概率背景．目前的地震平静期属于该地震序列活动期的尾声和下一地震活动期能量积累的初级阶段．     

A probability-weighted moment test to assess simple scaling

We present a statistically robust approach based on probability weighted moments to assess the presence of simple scaling in geophysical processes. The proposed approach is different from current approaches which rely on estimation of high order moments. High order moments of simple scaling processes (distributions) may not have theoretically defined values and consequently, their empirical estimates are highly variable and do not converge with increasing sample size. They are, therefore, not an appropriate tool for inference. On the other hand we show that the probability weighted moments of such processes (distributions) do exist and, hence, their empirical estimates are more robust. These moments, therefore, provide an appropriate tool for inferring the presence of scaling. We illustrate this using simulated Levystable processes and then draw inference on the nature of scaling in fluctuations of a spatial rainfall process.     

点带石斑鱼幼鱼配合饲料的适宜能量蛋白比

以鱼粉和酪蛋白为蛋白源,添加鱼油、豆油、α-马铃薯淀粉、纤维素以及适量的维生素和矿物质配制成实验饲料,蛋白质质量分数设置41%、47%、53%3个水平,能量设置12 561、14 655、16 748 kJ/kg 3个水平,饲养点带石斑鱼幼鱼59 d后,以增重率、蛋白质效率、饲料系数为评价指标,分析不同能量蛋白比的饲料对点带石斑鱼体内消化酶活性的影响。结果表明:当能量蛋白比分别为31.30、33.50、32.26 kJ/g时,点带石斑鱼增重率、蛋白质效率达到极大值,饲料系数达到极小值;能量蛋白比在31.62～35.54 kJ/g范围内,胃、肠道的蛋白酶、淀粉酶、脂肪酶活性较强。点带石斑鱼幼鱼配合饲料中合适的能量蛋白比为31.62～33.50 kJ/g。     

Characterization of the Si:As Blocked Impurity Band (BIB) Detector in Keck's Long Wavelength Spectrometer (LWS)

Keck's Long Wavelength Spectrometer (LWS), is the facility instrument used for imaging and spectroscopy in the wavelength range of 3–28 μm at the Keck Observatory. LWS uses an 128 × 128 Si:As blocked impurity band (BIB) array manufactured by the Boeing Corporation. This paper discusses the method used for optimizing the detector's operating parameters at a temperature of 8.5 K and bias voltage of 1.2 V. A process for characterizing detective quantum efficiency of BIB detectors is also presented. This revised version was published online in July 2006 with corrections to the Cover Date.     

地震分布非均匀性指标Kcv值及其在亚洲大地震预测中的应用研究

理论研究和实际预测表明地震空间分布非均匀性指标Cv值是一种有效的预测指标.但目前使用的Cv值在同一信度水平下,其置信区间大小与空间分布的事件样本数大小有关,不便于结果的分析比较.本文在Cv值基础上定义了一个新的预测指标Kcv,并基于强震时空概率增益预测模型及其单项预测方法预测效能检验的方法,依据亚洲地震重点研究区近20...     

Time independent seismic hazard analysis in Alborz and surrounding area

The Bayesian probability estimation seems to have efficiencies that make it suitable for calculating different parameters of seismicity. Generally this method is able to combine prior information on seismicity while at the same time including statistical uncertainty associated with the estimation of the parameters used to quantify seismicity, in addition to the probabilistic uncertainties associated with the inherent randomness of earthquake occurrence. In this article a time-independent Bayesian approach, which yields the probability that a certain cut-off magnitude will be exceeded at certain time intervals is examined for the region of Alborz, Iran, in order to consider the following consequences for the city of Tehran. This area is located within the Alpine-Himalayan active mountain belt. Many active faults affect the Alborz, most of which are parallel to the range and accommodate the present day oblique convergence across it. Tehran, the capital of Iran, with millions of inhabitants is located near the foothills of the southern Central Alborz. This region has been affected several times by historical and recent earthquakes that confirm the importance of seismic hazard assessment through it. As the first step in this study an updated earthquake catalog is compiled for the Alborz. Then, by assuming a Poisson distribution for the number of earthquakes which occur at a certain time interval, the probabilistic earthquake occurrence is computed by the Bayesian approach. The highest probabilities are found for zone AA and the lowest probabilities for zones KD and CA, meanwhile the overall probability is high.     

Hybridization of the probability perturbation method with gradient information

Geostatistically based history-matching methods make it possible to devise history-matching strategies that will honor geologic knowledge about the reservoir. However, the performance of these methods is known to be impeded by slow convergence rates resulting from the stochastic nature of the algorithm. It is the purpose of this paper to introduce a method that integrates qualitative gradient information into the probability perturbation method to improve convergence. The potential of the proposed method is demonstrated on a synthetic history-matching example. The results indicate that inclusion of qualitative gradient information improves the performance of the probability perturbation method.