基于EMD与神经网络的机械故障诊断技术

经验模式分解 (EMD)是分析非线性、非平稳信号的有力工具 ,它将信号分解为突出了原信号的不同时间尺度的局部特征信息的内在模函数 (IMF)分量。本文通过将各 IMF分量输入到 BP网络中进行训练学习和故障诊断 ,比直接输入原信号可以提高 BP网络对故障诊断的准确率 ,而且减少了训练时间。     

郑州国际会展中心展厅钢屋盖的动力特性分析

郑州国际会展中心展览厅钢屋盖采用了空间斜拉式索拱结构体系，为探讨该体系的动力特性，采用ANSYS有限元程序，分别建立钢屋盖与下部混凝土结构共同作用、钢屋盖单独作用以及无斜拉系统的钢屋盖单独作用时的3个空间计算模型，采用子空间迭代法计算其自振周期和振型，并加以比较。从而得出钢屋盖的动力特性，为进一步研究此类结构的受力特性奠定了基础。     

长江口斜压诊断模式三维流场数值模拟

建立了σ坐标系下长江口斜压诊断模式三维流场数学模型,采用k-kl二方程紊流闭合模型求解垂向涡粘系数,计算域内恒定、非均匀盐度场反映了计算域密度斜压效应。验证结果表明,斜压诊断模式的模拟成果较切合实际。模型成功复演了长江口水域由往复流向旋转流过渡的流场特性;潮波从四条汊道传入后在分汊口附近相遇形成多个会潮点,其位置随着径流的大小、潮汐的强弱、汊道的形态等因素而变化。     

古尔班通古特沙漠腹地土壤水分动态

采用土钻法对古尔班通古特沙漠腹地典型自然沙垄剖面土壤含水量进行长期监测.采取多重比较(LSD)、典型相关分析(MANOVA)、并在国内第一次采用季节交乘趋势等统计方法,对土壤水分与环境因子的关系进行分析,研究结果表明:土壤含水量时间变化规律分为补给期、失水期和冻结滞水期.土壤含水量均值为补给期>冻结滞水期>失水期,变异系数为补给期>冻结滞水期>失水期;土壤含水量空间变化规律表现为:阴阳坡间具有极显著差异(P<0.01,F=0.002 9).垄间分别与坡中、垄顶具有显著性差异(P<0.05).垂直变化分为活跃层、过渡层和稳定层,活跃层与其他土层间均有显著性差异(P<0.05),土壤含水量均值为阴坡>阳坡,垄顶>垄间>坡中.活跃层>过渡层和稳定层;变异系数为阴坡>阳坡,垄间>坡中>垄顶,活跃层>过渡层>稳定层;降雨量和温度是影响研究区土壤水分时间分布变化的重要影响因子,同时也是土壤含水量变化的决定性影响因子,与土壤含水量具有显著相关性(P<0.05,F=0.02).     

Spatial mapping of earthquake hazard parameters in the Hindukush–Pamir Himalaya and adjacent regions: Implication for future seismic hazard

The study deals spatial mapping of earthquake hazard parameters like annual and 100-years mode along with their 90% probability of not being exceeded (NBE) in the Hindukush–Pamir Himalaya and adjoining regions. For this purpose, we applied a straightforward and most robust method known as Gumbel’s third asymptotic distribution of extreme values (GIII). A homogeneous and complete earthquake catalogue during the period 1900–2010 with magnitude M_W ⩾ 4.0 is utilized to estimate these earthquake hazard parameters. An equal grid point mesh, of 1° longitude X 1° latitude, is chosen to produce detailed earthquake hazard maps. This performance allows analysis of the localized seismicity parameters and representation of their regional variations as contour maps. The estimated result of annual mode with 90% probability of NBE is expected to exceed the values of M_W 6.0 in the Sulaiman–Kirthar ranges of Pakistan and northwestern part of the Nepal and surroundings in the examined region. The 100-years mode with 90% probability of NBE is expected to exceed the value of M_W 8.0 in the Hindukush–Pamir Himalaya with Caucasus mountain belt, the Sulaiman–Kirthar ranges of Pakistan, northwestern part of the Nepal and surroundings, the Kangra–Himanchal Pradesh and Kashmir of India. The estimated high values of earthquake hazard parameters are mostly correlated with the main tectonic regimes of the examined region. The spatial variations of earthquake hazard parameters reveal that the examined region exhibits more complexity and has high crustal heterogeneity. The spatial maps provide a brief atlas of the earthquake hazard in the region.     

一次湖北暴雪天气的诊断与模拟

利用NCEP GFS资料分析了2007年1月15—16日鄂东南地区降雪过程,对造成暴雪过程的天气系统发生、发展背景场进行分析。并利用中尺度数值天气模式WRF模拟了这次暴雪过程,探讨了其发生发展的机制。天气系统的背景分析表明,这次暴雪过程主要是受700 hPa西南急流和地面冷空气的共同影响而产生的,降水过程与西南急流的变化密切联系。WRF模式较好地再现了此次暴雪的过程。模拟结果表明西南急流的减弱和移出,对应着降雪的开始和停止;在西南急流的左侧,由于低层涡度的增加,使低空辐合、高空辐散,在连续性原理和动力机制约束下导致上升运动的加强是该次暴雪的形成机制。模式结果说明,产生暴雪的上升运动要远小于产生暴雨的上升运动,且在暴雪过程中,中层为上升运动,近地层和高层伴随着下沉运动。     

Formation rates of Subantarctic mode water and Antarctic intermediate water within the South Pacific

The formation of Subantarctic Mode Water (SAMW) and Antarctic Intermediate Water (AAIW) significantly contributes to the total uptake and storage of anthropogenic gases, such as CO₂ and chlorofluorocarbons (CFCs), within the world's oceans. SAMW and AAIW formation rates in the South Pacific are quantified based on CFC-12 inventories using hydrographic data from WOCE, CLIVAR, and data collected in the austral winter of 2005. This study documents the first wintertime observations of CFC-11 and CFC-12 saturations with respect to the 2005 atmosphere in the formation region of the southeast Pacific for SAMW and AAIW. SAMW is 94% and 95% saturated for CFC-11 and CFC-12, respectively, and AAIW is 60% saturated for both CFC-11 and CFC-12. SAMW is defined from the Subantarctic Front to the equator between potential densities 26.80-27.06 kg m⁻³, and AAIW is defined from the Polar Front to 20°N between potential densities 27.06-27.40 kg m⁻³. CFC-12 inventories are 16.0×10⁶ moles for SAMW and 8.7×10⁶ moles for AAIW, corresponding to formation rates of 7.3±2.1 Sv for SAMW and 5.8±1.7 Sv for AAIW circulating within the South Pacific. Inter-ocean transports of SAMW from the South Pacific to the South Atlantic are estimated to be 4.4±0.6 Sv. Thus, the total formation of SAMW in the South Pacific is approximately 11.7±2.2 Sv. These formation rates represent the average formation rates over the major period of CFC input, from 1970 to 2005. The CFC-12 inventory maps provide direct evidence for two areas of formation of SAMW, one in the southeast Pacific and one in the central Pacific. Furthermore, eddies in the central Pacific containing high CFC concentrations may contribute to SAMW and to a lesser extent AAIW formation. These CFC-derived rates provide a baseline with which to compare past and future formation rates of SAMW and AAIW.     

中国东海海平面长期变化与趋势研究

From the analyses of the satellite altimeter Maps of Sea Level Anomaly(MSLA) data, tidal gauge sea level data and historical sea level data, this paper investigates the long-term sea level variability in the East China Sea(ECS).Based on the correlation analysis, we calculate the correlation coefficient between tidal gauge and the closest MSLA grid point, then generate the map of correlation coefficient of the entire ECS. The results show that the satellite altimeter MSLA data is effective to observe coastal sea level variability. An important finding is that from map of correlation coefficient we can identify the Kuroshio. The existence of Kuroshio decreases the correlation between coastal and the Pacific sea level. Kurishio likes a barrier or a wall, which blocks the effect of the Pacific and the global change. Moreover, coastal sea level in the ECS is mainly associated with local systems rather than global change. In order to calculate the long-term sea level variability trend, the empirical mode decomposition(EMD) method is applied to derive the trend on each MSLA grid point in the entire ECS. According to the 2-D distribution of the trend and rising rate, the sea level on the right side of the axis of Kuroshio rise faster than in its left side. This result supports the barrier effect of Kuroshio in the ECS. For the entire ECS, the average sea level rose 45.0 mm between 1993 and 2010, with a rising rate of(2.5±0.4) mm/a which is slower than global average.The relatively slower sea level rising rate further proves that sea level rise in the ECS has less response to global change due to its own local system effect.     

Model of wind-generated ambient noise in stratified shallow water

In order to build a rapid ocean ambient noise model adapted for a stratified shallow water, a hybrid model of normal mode method (for far field) and ray method (for near field) is suggested which combines the advantages of both methods. Since the near field of wind-generated noise is not sensitive to the sound speed profile, the sound speed profile is regarded as a constant; which makes the model rapid and accurate. The simulation results are in agreement with those of the wave model.     

城市化对四川盆地夏季气温变化影响的观测和模拟研究

城市化引起的气温上升是土地覆盖变化影响区域气候的重要体现.本文采用"观测资料减去再分析"（Observation Minus Reanalysis,OMR）的方法估计四川盆地和周边地区下垫面城市化改变对夏季地面2 m气温变化趋势的影响.设计了不同城市化下垫面扩展变化的WRF模拟试验,对1998—2012年四川盆地及周边区域夏季逐日平均温度和日最高最低气温进行模拟.在检验模式模拟性能的基础上,利用OMR方法类似的思路定量探讨城市化下垫面对地面气温变化趋势的可能影响.结果显示,（1）基于站点观测资料的OMR分布表明成都、重庆地区的城市下垫面对夏季升温的影响可达0.1℃·a-1;（2）WRF试验模拟的结果与实际观测接近,能较合理刻画出该地区夏季温度的平均分布及时间变化特征,可以用于该地区城市化区域气候效应的研究;（3）不同城市化进程的模式模拟试验中气温变化趋势的差值与基于站点观测的OMR方法计算得到的结果类似,都证明了重庆和成都的城市下垫面对地面2 m温度的升高具有显著影响,其中在日内低温的表现尤为突出.