TS-InSAR analysis for monitoring ground deformation in Lanzhou New District,the loess Plateau of China,from 2017 to 2019

Large-scale land creation projects involving the cutting of mountains to infill gullies for construction have been carried out in Lanzhou New District (LZND). However, there is an urgent need for comprehensive and detailed research on the spatiotemporal evolution of ground deformation in LZND. Based on Sentinel-1A SAR data, combined with the urban geological background, the ground deformation in LZND from 2017 to 2019 was analysed. Two independent, multi-temporal techniques, persistent scatterers interferometry (PS-InSAR) and the small baseline subset (SBAS-InSAR), were used to calculate the deformation time series, and the results were cross-verified. The time series-monitoring results of the SBAS and PS calculations exhibited strong consistency in LZND and verified the high reliability of the experimental results. The results showed the whole surface of the LZND from March 2017 to October 2019 maintained stability, and the deformation rate was primarily in the range of ?10 to 10 mm/year. However, ground deformation in the Xicha area was evident. The maximum annual deformation rates monitored by SBAS-InSAR and PS-InSAR were ?52.48 mm/year and ?56.35 mm/year, respectively. The most typical deformation areas include the built-up area and the land creation area. The surface subsidence area was concentrated in the filling area. The ground deformation range of LZND kept expanding and accelerating from 2017 to 2019. Land creation, urban construction, geology and precipitation were the primary factors contributing to local severe ground deformation. The results of this study provide reference for the regional urban planning in LZND.     

Possible evidence for small-scale wave seeding of equatorial plasma bubbles

The small-scale wave-like structure (SSWS) of F region bottomside plasma density was proposed to be an important seeding for equatorial plasma bubble (EPB) generation, and employed in theoretical simulations of EPBs in recent years. The seeding role of SSWS, however, is waiting to be demonstrated by observation. Here we present two cases of SSWS and EPB observed by the Fuke all-sky airglow imager (19.3°N, 109.1°E; dip latitude 14.3°N). For each case, the results show that two large-scale wave-like structures (LSWSs) initially appeared around sunset in the longitude regions separated by 3–4°, but EPB irregularities were only generated in one of the LSWSs where SSWSs were seen riding on LSWS. For the other LSWS, no SSWS and EPB irregularities were seen. Considering that the two LSWSs were situated closely in longitude where the amplitude of pre-reversal enhancement of background eastward electric field should be similar, the observation that EPB was only generated in the longitude with simultaneous LSWS and SSWS could provide supporting evidence for SSWS seeding of EPB.     

PIV 技术测量振荡射流流场

利用以大功率双脉冲激光器为光源的ＰＩＶ技术，测定了由扁平射流和尖劈组成的二维振荡射流流场。实验结果表明，射流喷嘴与尖劈之间存在交错的、旋转方向相反的涡街，从而在尖劈两侧形成压力扰动。这种压力扰动波与不稳定射流的相互作用是整个系统产生流体振荡的原因。此外，还分析了射流喷嘴与尖劈之间的距离对流场的影响规律。     

影响聚四氟乙烯材料加工表面粗糙度因素的研究

在现代航空发动机的产品中,保护圈、密封件等零件广泛使用聚四氟乙烯材料制造.在加工中多采用车削加工,粗糙度一般为Ra1.6,本文通过选用不同车床、刀具、加工参数的方法,提高该类材料加工后的表面粗糙度,为后续加工提供经验和数据.     

实时数据处理结果动态选优方法研究

针对传统的实时数据处理结果按方案优先级选优输出方法存在的缺陷,提出一种结合实时数据处理结果的精度进行实时动态选优的方法。该方法在每个数据处理周期将所有的数据结果与数据融合处理结果相比较,按照误差值大小对处理结果进行排序,若当前选择输出结果的误差值大于其他结果的误差值,可采用人机交互方式进行动态切换,选择其他精度高的结果输出。实际应用证明,该方法能有效避免当测量方案优先级高的数据处理结果精度差时其结果被选优输出的问题,提高了实时数据处理结果的精度。     

氨—空气混合物高浓度气体吸收中的数据回归

本文论述了回归分析在数据处理中的应用，通过氨－空气混合物高浓度气体吸收中的数据处理这一实例，介绍如何将非线性问题转化为线性问题的处理过程，给出建立经验公式为检验所建公式可用性的方法。     

空心长轴深孔加工工艺研究

以某发动机空心长轴零件深孔加工为研究对象,设计了长径比为15,长度超过1米的整体硬质合金刀杆,在某加工项目试验中,应用这种超长整体硬质合金刀杆,在细长比大于10的空心长轴的深孔镗削加工中,改变了传统的深孔加工工艺,满足了空心长轴深孔加工中严格的壁厚差要求,取得了明显的效果.     

应用计算机进行噪声数据处理

论述了如何利用计算机处理大批的噪声数据。并以环境噪声为例，给出了环境噪声数据计算程序。     

PREPROCESSING AND POSTPROCESSING SYSTEM FOR FINITE ELEMENT COMPUTATION

研究了有限元计算中的单元自动划分、曲线处理、节点疏密处理、载荷自动分布、与优化设计的衔接和等应力线绘制等方面的技术问题，阐述了有限元平面八节点单元前后置处理软件的设计过程。     

REMOTE SENSING IMAGE CODING METHOD COMBINING WAVELET TRANSFORM WITH CLASSIFIED VECTOR QUANTIZATION

A new remote sensing image coding scheme based on the wavelet transform and classified vector quantization (CVQ) is proposed. The original image is first decomposed into a hierarchy of 3 layers including 10 subimages by DWT. The lowest frequency subimage is compressed by scalar quantization and ADPCM. The high frequency subimages are compressed by CVQ to utilize the similarity among different resolutions while improving the edge quality and reducing computational complexity. The experimental results show that the proposed scheme has a better performance than JPEG, and a PSNR of reconstructed image is 31～33 dB with a rate of 0.2 bpp.