朱集矿13-1煤瓦斯参数规律研究

为了采取合理的瓦斯抽采技术,实现矿井安全高效开采,对朱集矿13-1煤瓦斯基本参数进行了现场和实验室测定,得出了瓦斯含量、瓦斯压力、放散初速度,透气性系数、坚固性系数等参数,并对测定结果进行了理论分析,得出了这些参数的基本规律.结果表明:随着开采深度的增加,在一定深度范围内,其瓦斯压力、瓦斯含量呈线性增长,瓦斯压力与瓦斯含量都比较大；煤层钻孔瓦斯衰减系数较大,该煤层的透气性系数较小,D、K值小于其临界值,可判断出该煤层为难抽煤层且有突出危险性.     

贵阳市城区大气颗粒物PM_(2.5)的污染特征与季节变化规律

于2013年6月至2014年5月在贵阳市城区设置采样点,利用国产武汉天虹智能采样器连续一年采集大气颗粒物(PM2.5)样品共357个,采用HOBO U30气象仪同步记录气象数据。气象数据分析表明贵阳市春、秋和冬季均为东北风,夏季多南风且风速较大,全年以东北风为主。结合气象数据分析了贵阳市市区PM2.5污染特征并初步讨论其来源。结果表明:PM2.5日浓度范围为4~193μg/m3,平均值为70±33μg/m3,日超标率为46%。以季节来看,夏季PM2.5浓度最低,冬季最高,秋、春季次之。PM2.5主要来源于工业排放与燃煤污染。与国内其它城市研究相比,处于轻度污染水平。     

西南技术工程研究所, 重庆 400039

目的建立敦煌地区温度、相对湿度和日温差的年极值拟合模型。方法根据当地气象站台温度和相对湿度日记时值数据,连续统计若干年的三要素年极值,采用极大似然法建立各要素年极值的Gumbel模型,同时讨论值域有界类气象因素极值再现期的定义域。结果给出了敦煌地区温度、相对湿度和日温差年极值的Gumbel模型参数。结论敦煌地区各气象因素Gumbel模型位置参数和尺度参数,温度极大值分别为35.193,1.072℃,温度极小值分别为-20.085,1.945℃,相对湿度极大值为95.254%,2.471%,相对湿度极小值为5.837%,1.505%,日温差极大值为20.676,0.777℃,日温差极小值为1.398,0.593℃;相对湿度极大值、相对湿度极小值和日温差极小值的再现期定义域分别为6.3,47和10年。     

实现地表水环境质量评价的一种方法--使用EXCEL自定义函数的新思路

介绍了在EXCEL环境下常用的评价地表水环境质量的方法,通过比较,“带引用参数的Ex-cel自定义函数”集合了多个功能基本相同的自定义函数于一身,不仅能够实现复杂的数据处理与分析,还能象EXCEL的内置函数一样使用方便,能进一步提高工作效率。     

升流式膨胀滤池的数学模型及设计参数

讨论了升流式膨胀滤池的反应过程，导出物料消耗，出水水质及反应时间等在有关理论公式，并根据物料流化理论确定了滤池几何尺寸及工艺提高参数的计算方法。     

A SELF-VERIFYING HYBRID COMPUTER MODEL OF RIVER-BASIN HYDROLOGY1

ABSTRACT. As demands upon available water supplies increase, there is an accompanying increase in the need to assess the downstream consequences resulting from changes at specific locations within a hydrologic system. The problem is approached in this study by hybrid computer simulation of the hydrologic system. Modeling concepts are based upon the development of basic relationships which describe the various hydrologic processes. Within a system these relationships are linked by the continuity-of-mass principle. Spatial resolution is achieved by considering the modeled areas as a series of subbasins. The time increment adopted for the model is one month, so that time varying quantities are expressed in terms of mean monthly values. The model is general in nature and is applied to a particular hydrologic system through a programmed verification procedure whereby model coefficients are evaluated for the particular system. In this study the model is applied to the Bear River basin of western Wyoming, southern Idaho, and northern Utah. Comparisons between observed and computed outflow hydrographs show good agreement. The utility of the model is demonstrated by predicting the effects of various possible water resource management alternatives. The verified hybrid computer program can be digitized for application to the digital computer.     

PARAMETER ESTIMATION IN HYDROLOGY: THE STATE OF THE ART1

ABSTRACT A detailed review of current methods and criteria used in parameter estimation in hydrology is presented. The effect of errors in the data set and the effect of interactions between methods of analysis, criteria, data set errors, and modeling assumptions are reviewed and discussed briefly. It is concluded that study of techniques, criteria, data set errors and particularly interactions between these, is essential to further progress in hydrologic modeling.     

涡流检波器建模研究及参数识别

笔者分析了涡流检波器的工作原理 :综合考虑了检波器磁路系统中 ,外壳、磁靴等部件的电磁感应对固定线圈感应电流的影响 ;建立了七参数的动力学模型。理论分析表明 :涡流检波器的外壳系统的附加耦合效应 ,影响了检波器的频率特性。在上述分析和研究的基础上 ,设计了检波器参数识别实验系统 ;验证了七参数动力学模型的合理性 ;研究的结论为检波器结构设计中改善和控制其特性参数、提高其工作安全可靠性等 ,提供了理论依据。     

KALMAN FILTER ESTIMATION AND PREDICTION OF DAILY STREAM FLOWS: I. REVIEW,ALGORITHM, AND SIMULATION EXPERIMENTS1

An important class of models, frequently used in hydrology for the forecasting of hydrologic variables one or more time periods ahead, or for the generation of synthetic data sequences, is the class of autoregressive(AR) models. As the AR models belong to the family of linear stochastic difference equations, they have both a deterministic and a stochastic component. The stochastic component is often assumed to have a Gaussian distribution. It is well known that hydrologic observations (e.g., stream flows) are heavily affected by noise. To account explicitly for the observation noise, the linear stochastic difference equation is expressed in state variable form and an observation model is introduced. The discrete Kalman filter algorithm can then be used to obtain estimates of the state variable vector. Typically, in hydrologic systems, model parameters, system noise statistics and measurement noise statistics are unknown, and have to be estimated. In this study an adaptive algorithm is discussed which estimates these quantities simultaneously with the state variables. The performance of the algorithm is evaluated by using simulated data.     

The personal CO2 calculator: A modeling tool for Participatory Integrated Assessment methods

Participatory Integrated Assessment (PIA) is an approach which aims at developing methods which allow to combine evaluations of experts and lay people in the field of Integrated Assessment. Thus, policy recommendations derived from PIA exercises are informed by scientific judgments and by valuations of “non-scientists”. For any PIA methodology the provision of insights, facts and figures about the policy problem at hand is crucial. In this paper we describe a PIA methodology which combines the social science research instrument “focus group” with a specific computer information tool, the “Personal CO₂ Calculator” (PCC). The tool supports citizens in discussing and recommending measures on climate change policy. Based on our experiences, we plead for information instruments that are tuned to and assist concrete target groups with their specific interests. This helps that policy recommendations derived from PIA exercises are based on both scientific knowledge as well as citizens' and stakeholders' policy preferences. This revised version was published online in July 2006 with corrections to the Cover Date.