DAMAGE EVALUATION BASED ON POINT-AREA INTEGRATED INFORMATION IN FLOOD DIVERSION BASIN

1 INTRODUCTION In recent years, the increased human activities in river basins have resulted in severe soil erosion and subsequent river sedimentation. Higher water levels for the same flow discharge imply that the flood risk has increased, as has the possibility of using flood diversion basins (FDB抯). To reduce the potential flood damage, rapid flood risk prediction and efficient flood damage evaluation are needed. The flood risk prediction is closely related to hydraulic information s…     

Comparative study of flood quantiles estimation by nonparametric models

There are two basic approaches for estimating flood quantiles: a parametric and a nonparametric method. In this study, the comparisons of parametric and nonparametric models for annual maximum flood data of Goan gauging station in Korea were performed based on Monte Carlo simulation. In order to consider uncertainties that can arise from model and data errors, kernel density estimation for fitting the sampling distributions was chosen to determine safety factors (SFs) that depend on the probability model used to fit the real data. The relative biases of Sheater and Jones plug-in (SJ) are the smallest in most cases among seven bandwidth selectors applied. The relative root mean square errors (RRMSEs) of the Gumbel (GUM) are smaller than those of any other models regardless of parent models considered. When the Weibull-2 is assumed as a parent model, the RRMSEs of kernel density estimation are relatively small, while those of kernel density estimation are much bigger than those of parametric methods for other parent models. However, the RRMSEs of kernel density estimation within interpolation range are much smaller than those for extrapolation range in comparison with those of parametric methods. Among the applied distributions, the GUM model has the smallest SFs for all parent models, and the general extreme value model has the largest values for all parent models considered.     

浅谈龙岩市地震安全性评价工作

本文主要对我市近年来在依法实施地震安全性评价管理工作中所采取的措施、方法以及取得的成效和存在的问题等作一简单论述。     

燃气锅炉房的安全管理

燃气锅炉因具有自动化程度高、劳动强度低、使用清洁燃料、环保效果好等特点，得到广泛的推广使用。但是，燃气锅炉若使用或管理不当，其负面影响范围和严重程度将远远大于燃煤锅炉。本文根据国家法规和规程，结合工作体会，对如何正确使用和安全管理燃气锅炉等问题，提出解决的办法。     

边坡稳定性二元指标体系与应用研究

边坡稳定性影响因素如:强度参数、降雨、地下水、人类工程活动等都具有很高的离散性、变异性、相关性,对安全系数的影响不是确定不变的,而是服从一定统计规律的概率分布。在每个影响因素的置信区间内,取对称的几个值作为不同水平,如三水平取值等,组合不同因素和水平,计算得到系列的安全系数值。取影响因素的平均值,计算得到传统的安全系数(中值安全系数),同时由安全系数的变异性,求出安全系数的可靠性。选择典型的安全系数及相对应的可靠性,基于工程经验丰富的安全系数,初步建立传统安全系数与可靠性耦合的边坡稳定性二元指标体系,由安全系数和可靠性共同度量边坡系统的稳定性。传统安全系数与可靠性耦合的边坡稳定二元体系的初步建立,可有效地考虑边坡系统内实际存在的不确定性和相关性,使边坡的稳定性评价更加客观精确,为边坡安全和滑坡灾害的风险性管理提供理论和方法。论述了边坡稳定性二元指标体系研究意义、研究内容、研究方法和研究趋势。     

关于省局域网远程访问的探讨

随着人们对信息技术“灵活性”的要求,远程访问技术广为应用,为了外出工作人员的工作便利和节约经费,远程访问技术在山西省地震局的实施也迫在眉睫.在远程同步、安全维护和设备软件的管理等问题上,结合山西省地震局的实际情况,探讨了使用点对点协议PPP,远程访问服务器RAS,拨号安全服务器与调制解调器组合,拨号连接实现远程访问功能,防火墙、网关保护、病毒软件及网管软件等维护数据安全的可能性.     

山门银矿床石英含矿性的谱学找矿标志

石英是原生银矿床银的主要载体矿物。通过对山门银矿床石英的红外光谱、热释发光，Ｘ射线衍射、原子吸收光谱及电镜能谱能谱等分析测定，研究了石英的含银性与包裹体ＣＯ２和Ｈ２Ｏ的相对吸光度漳，含银性与石英热光曲线、晶胞参数及杂持含量间关系，给出了石英含矿性的谱学找矿标志。     

呷村矿床的微量元素特征及其找矿方向

呷村含金富银多金属矿床属海相火山喷流-沉积矿床。本文从区域、矿田、矿床微量元素地球化学特征及异常模式研究入手,总结出本类矿床的最佳指示元素,建立了矿致异常元素的垂向分带和水平分带序列,指示了矿床的找矿远景和找矿方向。     

哈密大南湖煤田含煤岩系煤层特征

以大量钻孔资料为基础,通过分析研究,对含煤岩系的含煤性作出评价,划分了3大含煤段,利用有效的对比方法和依据,对可采煤层进行全区对比分析,最后对全区煤层进行统一编号,为该区开矿及外围勘探提供宝贵的资料.     

Absolute Tilt from a Laser Guide Star: A First Experiment

Absolute tip–tilt recovery using a tilt signal measured on a Laser Guide Star is a central problem in the framework of the development of Adaptive Optics Systems reaching full sky coverage down to visible wavelengths. In the past few years, various techniques aimed at solving this problemhave been proposed. However only a couple of these has been recentlytested in practice.We report about an experiment aimed at evaluating the performance of one of these techniques called the Elongation Perspective technique. Our experiment has been performed using the ALFA system inCalar-Alto (Spain) and involves the simultaneous operation of the 3.6 m and the 2.2 m telescopes at the Observatory.This article describes the telescope configuration used, as well as the datareduction process carried out in order to estimate the scientific objecttilt. The technique performances are discussed in terms of the residualtilt error variance and related correlation coefficient. The analysisshows that, despite the low SNR of our measurements, the atmospheric tiltvariance is reduced to 80% of its initial value corresponding to acorrelation coefficient of about 0.6. To get a betterestimate of the performance achievable using this technique,the tilt error variance due to photon noise in the laser measurementis estimated and removed from the obtained tilt error variance.When this correction is done, thisvariance is reduced to about 50% of its initial value, showingthat the use of this technique can give rise to a significant reduction of the scientific object image motion.