KALMAN FILTER CALCULATION OF SAMPLING FREQUENCY WHEN DETERMINING ANNUAL MEAN SOLUTE CONCENTRATIONS

ABSTRACT: A linear filter (Kalman filter) technique was used with a Streamflow-concentration model the minimize surface water quality sampling frequencies when determining annual mean solute concentrations with a predetermined allowable error. The Kalman filter technique used the stream discharge interval as a replacement for the more commonly used time interval. Using filter computations, the measurement error variance was minimized within the sample size constraints. The Kalman filter application proposed here is applicable only under several conditions including: monitoring is solely to estimate annual mean concentration; discharge measurement errors are negligible; the Streamflow-concentration model is valid; and monthly samples reflect the total variance of the solute in question.     

PREDICTING MEASUREMENT ERROR OF AREAL MEAN PRECIPITATION DURING EXTREME EVENTS1

ABSTRACT: The areal mean precipitation (AMP) over a catchment is normally calculated using point measurements at rainfall gages. Error in AMP estimates occurs when an insufficient number of gages are used to sample precipitation which is highly variable in space. AMP error is investigated using historic, severe rainfalls with a set of hypothetical catchments and raingage networks. The potential magnitude of error is estimated for typical gage network densities and arrangements. Possible sources of error are evaluated, and a method is proposed for predicting the magnitude of error using data that are commonly available for severe, historic rainfall.     

涉及电动振动台选型的结构与技术的评价和分析

通过振动台系统组成部分（振动台体，磁场电源和功率放大器）涉及的结构与技术的分析，对振动台系统技术指标的先进性，结构设计的合理性及振动台用于振动试验的准确性和安全性的评价提供依据，可供选择振动台系统参考。     

OPEN CHANNEL INTERPOLATION OF CROSS SECTIONAL PROPERTIES1

ABSTRACT: This paper confirms the use of interpolated data to refine water surface profiles. Sources of error within these computations are due to truncation error, inaccuracies in geometric data, and improper modeling. Confirmation includes the development of an equation that models the effect of data measurement error on the computed water surface profile. A review of interpolation procedures includes a proposed method based upon geometric properties.     

烟气测试中流速计算误差分析

本文通过对烟气测试中流速计算公式的比较分析，结合实际监测数据处理，认为烟气流速计算中，使用通用公式与简化公式的误差，虽然与Ｒｓ和Ｂｓ有关，但主要误差来源于Ｂｓ。而Ｒｓ不必用精密仪器测出烟气中各组份后求算。只要用简易仪器测得烟气中的Ｘｏ２和Ｘｓｗ的百分含量，即可求出Ｒｓ近似值，用于烟气流速计算。     

安全等级特征量及其计算方法

指出了目前用模糊评价法确定系统的安全等级所存在的问题和不足之处。分别运用模糊随机变量理论和模糊集理论而提出了安全等级模糊随机特征量和安全等级模糊特征量的概念及其计算方法。安全等级特征量及安全等级变量,均为安全等级取值论域上的模糊子集,而并非是一个确定的点。还给出了安全等级的绝对可能性和相对可能性的计算方法。实例表明,笔者所提出的安全等级特征量及可能性的计算方法是科学的、合理的     

间歇式加煤锅炉的烟尘测试技术探讨

针对间歇式加煤锅炉在烟尘实际测试中,最终测试结果容易出现误差的问题,通过试验,分析造成误差的主要原因和规律,提出了消除和减小误差的相应对策     

Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm

ABSTRACT

Wind speed forecasting plays an important role in power grid dispatching management. This article proposes a short-term wind speed forecasting method based on random forest model combining ensemble empirical modal decomposition and improved harmony search algorithm. First, the initial wind speed data set is decomposed into several ensemble empirical mode functions by EEMD, then feature extraction of each sub-modal IMF is performed using fast Fourier transform to solve the cycle of each sub-modal IMF. Next, combining the high-performance parameter optimization ability of the improved harmony search algorithm, two optimal parameters of random forest model, number of decision trees, and number of split features are determined. Finally, the random forest model is used to forecast the processing results of each submodal IMF. The proposed model is applied to the simulation analysis of historical wind data of Chaoyang District, Liaoning Province from April 27, 2015 to May 22, 2015. To illustrate the suitability and superiority of the EEMD-RF-IHS model, three types of models are used for comparison: single models including ANN, SVM, RF; EMD combination models including EMD-ANN, EMD-SVM, EMD-RF; EEMD combination models including EEMD-ANN, EEMD-SVM, EEMD-RF. The analysis results of evaluation indicators show that the proposed model can effectively forecast short-term wind data with high stability and precision, providing a reference for forecasting application in other industry fields.     

二维相关地震动作用下结构的随机反应

假定两水平方向的地震动为平稳随机过程,基于地震动主轴模型的假设,讨论了二维地震动分量的空间相关性,在单分量平稳模型的基础上给出了二维水平地震动随机模型的相关函数矩阵。该相关函数模型可以为二维地震下结构随机反应分析提供地震动输入。利用状态空间方法和随机振动理论建立了线性多自由度体系在二维地震激励下的随机反应分析方法,导出了结构的位移反应相关函数和速度反应相关函数,可在时域内直接计算结构的二维随机地震反应的统计特征。最后,通过一个二层框架结构计算实例,说明了这种方法的运用,讨论了地震动强度以及地震动主轴方位角对结构反应的影响。该方法可以为结构抗震可靠性评估提供基础。     

火灾模拟结果误差分析的函数分析法

火灾试验结果和模拟预测结果常能表达成关于时间变化的曲线,为定量描述两种随时间变化曲线间相符合的程度,引入误差分析的函数分析法。采用适合于低Mach数流修正的N-S方程描述烟气的输运过程,使用大涡模拟和Smagorinsky亚格子模型,对封闭空间内的火灾过程进行数值模拟;对其计算结果的分析表明,函数分析法能定量对模拟预测曲线与试验曲线间的差别进行描述,模是两曲线值大小的相对误差的度量,余弦是两曲线形状相似程度的度量。