一种基于离心机试验辨识惯导平台误差系数的方法

针对离心机试验中惯导平台误差系数辨识问题,提出了一种基于谐波分析辨识误差系数的方法。首先,根据惯性器件误差模型推导了离心机试验下陀螺和加速度计的输出方程,其输出由各阶谐波分量构成。然后通过傅里叶分析得到各项谐波的幅值。最后根据谐波幅值与各项误差系数之间的关系反解得到各项误差系数。仿真结果验证了方法的有效性。     

吸水性还原性材料对煤自燃影响的实验研究

为了解决吸水性盐和还原性材料仅依靠其单一特性抑制煤自燃而抑制效果并不理想的问题,提出了利用羟甲基磺酸钠的吸水性和还原性来抑制煤自燃。将原煤-20%羟甲基磺酸钠通过对比原煤、原煤-20%MgCl2和原煤-20%VC,利用程序升温实验和FTIR测试来研究其抑制煤自燃的效果。研究结果表明:3种溶液处理煤均在一定程度上抑制了煤自燃,其中,20%羟甲基磺酸钠溶液对抑制煤低温氧化的效果最好,经过其处理的煤样表观活化能最大,同时,依靠其还原性很好地保护了煤中的亚甲基和羟基不被破坏,抑制煤自燃效果明显优于20%MgCl2溶液和20%VC溶液。     

鲤体内芳香烃受体的分离纯化及其与葸的相互作用

从暴露于污染物蒽的鲤肝脏中提取出芳香烃受体,并采用紫外可见分光光度计进行最大吸收波长扫描,再通过离子交换层析法分离纯化鲤体内的芳香烃受体,并采用聚丙烯酰胺凝胶电泳对受体进行鉴定,最后通过傅里叶变换红外光谱探讨芳香烃受体与蒽结合后的结构变化.结果表明,提取的芳香烃受体在280 nm处有特征吸收峰,测得质量浓度为27.3 mg/mL.通过离子交换层析法纯化了单一组分的受体蛋白质,其相对分子质量约为110 kD.测定了芳香烃受体的红外光谱,与蒽结合后其在一定波段的谱峰发生了明显位移,表明污染物配体蒽能与芳香烃受体结合,并对其蛋白二级结构产生明显影响.     

Effects of climatic data low-pass filtering on the ICBM temperature- and moisture-based soil biological activity factors in a cool and humid climate

The air temperature (T_air), total precipitation (TP) and potential evapotranspiration (PET) are standard input data for soil carbon dynamic models, i.e., for calculating temperature and moisture effects on soil biological activity. The resolution needed depends on objectives, the complexity of models and inbuilt pedotransfer functions. The Introductory Carbon Balance Model (ICBM) soil climate front end model calculates a multiplicative soil-temperature (r_{e_temp}) and -moisture (r_{e_wat}) factor with a daily time-step to estimate soil biological activity, i.e., r_{e_crop} = r_{e_temp} × r_{e_wat}. Our objective was to determine how much r_{e_temp}, r_{e_wat} and r_{e_crop} are affected by low-pass filtering of the climatic input data for a cool, humid temperate region. To achieve this we conducted spectral analysis on T_air, TP, PET and r_{e_crop} in the frequency domain. Thereafter we applied Fourier low-pass filters of 5, 15, 30, 60 and 180 days on T_air, TP, PET and tracked their effects through the soil climate model's state variables and outputs. This was done using a sandy and a heavy clay soil and an 89-year daily time-series from a meteorological station in Quebec (Canada). The Fourier spectra showed that the variance for T_air, PET and r_{e_crop} was dominated by an annual cycle, as could be expected. There was no yearly cycle for TP. The variation in r_{e_temp} explained most of the variance in r_{e_crop}. The soil climate module outputs were not sensitive to low-pass filtering of PET. A daily time-step was needed to avoid overestimating r_{e_crop} for the sandy soil. Using a weekly time-step for TP and T_air allowed us to explain about 80% of the variance in r_{e_crop} for the heavy clay soil. This study also indicates that the standard leaf (and green) area index functions for calculating transpiration should receive more attention, since they have significant effects on the state and output variables.     

AIR-WATER TEMPERATURE RELATIONSHIP IN ILLINOIS RIVER1

Application of harmonic analysis to daily mean air, water temperature records for a location indicates that the first harmonic accounts for a major portion of the total variance in the records. Water temperature residuals are well correlated with air temperature residuals. Parametric values of the mathematical model for predicting water temperatures from air temperature records are stable from year to year. The air-water temperature relationship appears to be a stationary linear process. Consequently, it is possible to predict water temperatures at a location from the ambient temperature records provided both air and water temperature records are available for another similarly situated water body.     

ESTIMATING ANNUAL FLOOD PROBABILITIES USING FOURIER SERIES METHOD1

ABSTRACT: The Fourier series method is proposed as a feasible non-parametric approach for the estimation of the density and distribution functions of annual floods. Clearly, the goodness of fit to empirical data improves as higher Fourier terms are incorporated, and the choice of a higher term depends on whether the inclusion of this term will reduce the fitting error to within a specified tolerance level. This method was applied to the flood data from eight rivers, and to data simulated from known distributions. The results are clearly better than other parametric methods, just like other non-parametric techniques currently used to estimate annual flood probabilities.     

FOURIER INFERENCE: SOME METHODS FOR THE ANALYSIS OF ARRAY AND NONGAUSSIAN SERIES DATA1

Fourier inference is a collection of analytic techniques and philosophic attitudes, for the analysis of data, wherein essential use is made of empirical Fourier transforms. This paper sets down some basic results concerning the finite Fourier transforms of stationary process data and then, to illustrate the approach, uses those results to develop procedures for: 1) estimating cloud and storm motion, 2) passive sonar and 3) fitting finite parameter models to nonGaussian time series via bispectral fitting. This last procedure is illustrated by an analysis of a stretch of Mississippi River runoff data. Examples 1), 2) refer to data having the form Y(x_j, y_j, t) for j = 1, …, J and t = 0, …, T-l say, and view that data as part of a realization of a spatial-temporal process. Such data has become common in geophysics generally and in hydrology particularly. The goal of this paper is to present some new statistical procedures pertinent to problems in the water sciences, equally it is to illustrate the genesis of those procedures and how their properties may be approximated.     

便携式傅立叶红外快速检测环境中气态污染物

用Calmet软件,建立了便携式傅立叶红外快速检测气态污染物的方法。该方法适用于突发性环境污染事故的应急监测。     

海啸波近岸共振响应的数值模拟及分析

应用有限差分方法求解非线性浅水长波方程,建立了海啸波产生和传播的二维数值模型;对太平洋地震引起的夏威夷群岛海啸波进行模拟,并将模拟结果和测站实测值进行比较,验证了模型的正确性。利用快速傅里叶变换对数值模拟结果进行谱分析,得到整个计算区域的能量谱分布,并给出了发生能量聚集的位置及相应的谱峰周期。讨论了海啸波传播到近岸时可能产生的共振响应现象,发现海啸波和近岸的共振响应不仅与近岸复杂地形有关,还与海啸波传播到近岸时的波浪入射方向有关。     

治理滇池草海水环境的成套技术

草海是滇池的一部分,大量污水排入使草海水体污染日益严重,水体已达重富营养化水平,生态平衡遭受严重破坏,水功能基本丧失。为了保护滇池,必须彻底根治草海,对草海的根治拟采取如下综合成套技术:①改造城市排水系统;②对重点工业废水中的有毒有害污染物进行治理;③城市面源治理;④草海底泥疏挖;⑤污染物现场清除技术;⑥大型水生植物恢复技术;⑦水资源的合理调整。制定了草海及滇池治理的三期规划,实施总投资约３０亿人民币。