旋挖钻进工艺在海相沉积地层中的应用

以潮州电厂基础桩施工为例,对其钻孔设备的特点和施工工艺作了介绍,阐述了旋挖钻机在海相沉积地层中施工灌注桩的工艺方法及其质量控制措施。     

Effects of copper pollution on the activity of soil invertase and urease in loquat orchards

Dealt with in this paper is the relationship between Cu contents of soil and activity parameters for soil invertase and urease from the Changtai loquat orchards in Fujian Province. The soil invertase activity and maximum reaction velocity (enzyme kinetic parameters: Vmax and Vmax/Km) have no remarkable negative correlation with Cu concentrations, but Cu concentrations have an obvious positive effect on invertase Kin, indicating a reversible com-petitive restraint on the reaction between Cu and invertase. The soil urease activity and maximum reaction velocity (Vmax,Vmax/Km) have a remarkable negative correlation with Cu concentrations, and in this aspect, they can be used as ecological indices of the soil polluted by Cu. A slightly variable Km indicates the non-reversible competitive restraint level.     

基于自适应参数估计的多时相遥感图像变化检测

提出一种基于自适应参数估计实现多时相遥感图像的变化检测算法.首先应用分层Markov随机场模型建立多时相差分图像的统计模型;然后通过非监督的迭代自适应参数估计实现差分图像的分类,从而检测出变化的像元.在每次参数估计过程中,先将上次估计出的参数用于最大后验估计实现差分图像的分类,然后根据分类结果再对参数进行修正,并将修正后的参数用于下一次迭代分类,如此循环迭代,能够自适应地完成差分图像的参数估计与分类.     

Introducing scale parameters for adjusting area objects in GIS based on least squares and variance component estimation

In this paper, a least‐squares based cadastral parcel area adjustment in geographic information systems (GIS) is developed based on (1) both the areas and coordinates being treated as observations with errors; and (2) scale parameters being introduced to take the systematic effect into account in the process of cadastral map digitization. The area condition equation for cadastral parcel considerations of scale parameters and geometric constraints is first constructed. The effects of the scale error on area adjustment results are then derived, and statistical hypothesis testing is presented to determine the significance of the scale error. Afterwards, Helmert's variance component estimation based on least‐squares adjustment using the condition equation with additional parameters is proposed to determine the weight between the coordinate and area measurements of the parcel. Practical tests are conducted to illustrate the implementation of the proposed methods. Four schemes for solving the inconsistencies between the registered areas and the digitized areas of the parcels are studied. The analysis of the results demonstrates that in the case of significant systematic errors in cadastral map digitization, the accuracies of the adjusted coordinates and areas are improved by introducing scale parameters to reduce the systematic error influence in the parcel area adjustment. Meanwhile, Helmert's variance component estimation method determines more accurate weights of the digitized coordinates and parcel areas, and the least‐squares adjustment solves the inconsistencies between the registered areas and the digitized areas of the parcels.     

阿克苏中心地震台数字化前兆仪器运行质量分析

通过对阿克苏中心地震台前兆仪器故障进行相关检查和分析处理,判断产生的各类干扰因素,并提出处理方法,为仪器运行、数据处理及使用奠定基础,保证观测资料的连续、完整和可靠.     

LN-3A数字地震水位仪故障分析与解决

分析了LN-3A数字地震水位仪在安装及运行过程中,传感器、数据采集器、数据通讯及观测数据曲线出现的各种故障及异常,针对故障及异常进行分析并查找原因,提出了解决办法.为一线台站人员能够在第一时间处理仪器故障、找出观测数据曲线异常原因提供借鉴,为仪器的安全稳定运行和观测资料的连续、准确、可靠打下良好基础.     

Comparison of adaptive structural damage identification techniques in nonlinear hysteretic vibration isolation systems

Early structural damage identification to obtain an accurate condition assessment can assist in the reprioritization of structural retrofitting schedules in order to guarantee structural safety. Nowadays, seismic isolation technology has been applied in a wide variety of infrastructure, such as buildings, bridges, etc., and the health conditions of these nonlinear hysteretic vibration isolation systems have received considerable attention. To effectively detect structural damage in vibration isolation systems based on vibration data, three time-domain analysis techniques, referred to as the adaptive extended Kalman filter （AEKF）, adaptive sequential nonlinear least-square estimation （ASNLSE） and adaptive quadratic sum-sqnares error （AQSSE）, have been investigated. In this research, these analysis techniques are compared in terms of accuracy, convergence and efficiency, for structural damage detection using experimental data obtained through a series of laboratory tests based on a base-isolated structural model subjected to E1 Centro and Kobe earthquake excitations. The capability of the AEKF, ASNLSE and AQSSE approaches in tracking structural damage is demonstrated and compared.     

Review of the Kalman-type hydrological data assimilation

ABSTRACT

There is great potential in Data Assimilation (DA) for the purposes of uncertainty identification, reduction and real-time correction of hydrological models. This paper reviews the latest developments in Kalman filters (KFs), particularly the Extended KF (EKF) and the Ensemble KF (EnKF) in hydrological DA. The hydrological DA targets, methodologies and their applicability are examined. The recent applications of the EKF and EnKF in hydrological DA are summarized and assessed critically. Furthermore, this review highlights the existing challenges in the implementation of the EKF and EnKF, especially error determination and joint parameter estimation. A detailed review of these issues would benefit not only the Kalman-type DA but also provide an important reference to other hydrological DA types.

Editor D. Koutsoyiannis; Associate editor F. Pappenberger     

Generalized LSG models with spatially varying Coriolis parameter

In this paper, we derive and study approximate balance models for nearly geostrophic shallow water flow where the Coriolis parameter is permitted to vary across the domain as long as it remains nondegenerate. This situation includes, for example, the β-plane approximation to the shallow water equations at mid-latitudes. Our approach is based on changing configuration space coordinates in the underlying variational principle in such a way that consistent asymptotics in the transformed Lagrangian leads to a degenerate Lagrangian structure. In this paper, we restrict our attention to first-order models. We show that the resulting models can be formulated in terms of an advected potential vorticity with a nonlinear vorticity inversion relation. We study the associated solvability conditions and identify a subfamily of models for which these conditions are satisfied without additional restrictions on the data. Finally, we provide the link between our framework and the theory of constrained Hamiltonian systems.     

Trimmed L-moments (1,0) for the generalized Pareto distribution

Abstract

Statistical analysis of extremes is often used for predicting the higher return-period events. In this paper, the trimmed L-moments with one smallest value trimmed—TL-moments (1,0)—are introduced as an alternative way to estimate floods for high return periods. The TL-moments (1,0) have an ability to reduce the undesirable influence that a small value in the statistical sample might have on a large return period. The main objective of this study is to derive the TL-moments (1,0) for the generalized Pareto (GPA) distribution. The performance of the TL-moments (1,0) was compared with L-moments through Monte Carlo simulation based on the streamflow data of northern Peninsular Malaysia. The result shows that, for some cases, the use of TL-moments (1,0) is a better option as compared to L-moments in modelling those series.

Citation Ahmad, U.N., Shabri, A. & Zakaria, Z.A. (2011) Trimmed L-moments (1,0) for the generalized Pareto distribution. Hydrol.Sci. J. 56(6), 1053–1060.