缓变下垫面对浅水方程的动力学订正

讨论了当下垫面随时间缓慢变化时浅水方程的形式. 从控制大气运动的连续性方程和动量方程出发, 将下垫面的缓慢变化作为一个小量叠加到固有下垫面函数上, 利用大气的上下边界条件, 得到改进的浅水方程. 在改进的浅水方程中, 由缓变局部水平体积散度, 订正了局部水平体积散度和流体局部厚度变化之间的平衡, 在此基础上得到包含下垫面缓变的涡度方程.     

棉花冠层水分含量估算的高光谱指数研究

适宜的光谱指数对于地表参数高光谱诊断模型的估算精度具有决定性作用。通过不同棉花冠层水分含量表征参数冠层等效水厚度EWT_canopy, 植株含水量VWC及其对应的光谱数据分析,构建350～2 500 nm范围内所有波段两两组合的比值指数RVI和归一化指数NDVI,分析水分含量表征参数与所有指数之间的相关关系,筛选最大相关系数对应的指数作为最佳水分指数,利用新指数构建水分含量表征参数的估算模型,并与已知的各种水分指数估算精度进行比较。结果表明：新建比值指数R_{1 475}/R_{1 424}及其归一化指数(R_{1 475}-R_{1 424})/(R_{1 475}+R_{1 424})对EWT_canopy的估算效果最佳,由其得到的估算值与实测值之间的相关系数r值达到0.849;已知指数(R₈₃₅-R_{1 650})/(R₈₃₅+R_{1 650})对VWC的估算效果最佳,由其得到估算值与实测值之间的相关系数r值为0.805。     

非定常膨胀过程中水蒸汽凝结对流场影响的数值分析

采用数值目的对激波管非定常膨胀过程中,汽液相变与流场的相互作用进行了模拟.主要研究了含有水蒸汽的混合气体在激波管中的非平衡凝结过程以及其对流场的作用.结果表明由于水蒸气的凝结释放热量对流场局部进行加热,使流场参数发生扰动而产生凝结激波.经过与凝结激波的相互作用后,流场参数和结构将发生明显的变化.     

水反常热膨胀特性的简易实验

通过改变带细玻璃管的烧瓶中水的温度导致水位变化来粗略演示水的收缩情况.为较准确测定水最大密度时的温度,将2个温度计放在水下较浅处和较深处,分别测量当温度经由4℃升高时和由4℃降低时两温度计的示数,进而验证水的反常热膨胀特性.     

Radiometric observations of the 752.033-GHz rotational absorption line of H2O from a laboratory jet

The intensity and lineshape of the Doppler-broadened 752.033-GHz (2₁₁ 2₀₂) rotational transition of H₂O has been studied passively using a high-resolution two-stage heterodyne radiometer with single-sideband system noise temperature of 45,000 K. The purpose of the experiments was to demonstrate the observability at submillimeter wavelengths of a high-altitude rocket plume simulated by a laboratory H₂O jet in a vacuum chamber. First-stage mixing was accomplished by means of a GaAs Schottky diode with first local-oscillator power supplied by a CO₂-laser pumped formic-acid laser (761.61 GHz), generating and X-band IF signal. Second localoscillator power was provided by a tunable C-band source. One-MHz resolution capability was obtained by means of a 3-GHz waveguide cavity filter with only 9-dB insertion loss. In the H₂O jet experiments, the center frequency of the line was determined to within 1 MHz of the previously reported value. A rotational temperature 75 K, a linewidth 5 MHz, and a Doppler shift 3 MHz (from a 45-degree rotation of the flow direction) were measured with the line-of-sight intersecting the jet axis at a distance downstream of 30 nozzle diameters. These absorption data were ogtained against continuum background radiation sources at temperatures of 1175 and 300 K.     

Experimental study of bubble dynamics in the neighbourhood of a vertical incomplete boundary

The bubbles have been widely used in biomedical field, military and chemical industry. The liquid jet generated by the bubble collapse through an orifice is utilized in needle-free injections and inkjet printing. In this paper we devised synchronized triggering equipment, experimentally investigated the mechanism in the interaction of an electric-spark generated a single bubble and a vertical wall with an air-back opening. Detailed observations were recorded and described for bubble oscillation, migration, jetting, as well as the high-speed water spike penetrating through the opening. The results revealed that there was a critical value of the bubble-wall distance, below which the bubble was directed away from the incomplete boundary, while the bubble may tear from the middle for larger distance. As the distance varied, we studied the volume of the water that rushed through the opening, the velocity at the tip of the water spike, and the center of the bubble as well as the migration of the bubble boundary. This work reveals that the high-speed water spike caused by the bubble may be a potential threat to the structures, specifically for cases with a small opening size and short bubble-boundary distance.     

HL-2M 装置冷却水系统介绍

介绍了 HL-2M 装置冷却水系统的组成以及各子系统的循环流程、运行原理和运行参数。      

Assessment and Prediction of Water Resources Vulnerability Based on a NRS-RF Model: A Case Study of the Song-Liao River Basin,China

The vulnerability of water resources is an important criterion for evaluating the carrying capacity of water resources systems under the influence of climate change and human activities. Moreover, assessment and prediction of river basins’ water resources vulnerability are important means to assess the water resources security state of river basins and identify possible problems in future water resources systems. Based on the constructed indicator system of water resources vulnerability assessment in Song-Liao River Basin, this paper uses the neighborhood rough set (abbreviated as NRS) method to reduce the dimensionality of the original indicator system to remove redundant attributes. Then, assessment indicators’ standard values after dimensionality reduction are taken as the evaluation sample, and the random forest regression (abbreviated as RF) model is used to assess the water resources vulnerability of the river basin. Finally, based on data under three different future climate and socio-economic scenarios, scenario predictions are made on the vulnerability of future water resources. The results show that the overall water resources vulnerability of the Song-Liao River Basin has not improved significantly in the past 18 years, and the overall vulnerability of the Song-Liao River Basin is in the level V of moderate to high vulnerability. In the future scenario 1, the overall water resources vulnerability of the river basin will improve, and it is expected to achieve an improvement to the level III of moderate to low vulnerability. At the same time, the natural vulnerability and vulnerability of carrying capacity will increase significantly in the future, and the man-made vulnerability will increase slowly, which will deteriorate to the level V of moderate to high vulnerability under Scenario 3. Therefore, taking active measures can significantly reduce the vulnerability of nature and carrying capacity, but man-made vulnerability will become a bottleneck restricting the fragility of the overall water resources of the river basin in the future.     

How to Construct Polar Codes for Ring-LWE-Based Public Key Encryption

There exists a natural trade-off in public key encryption (PKE) schemes based on ring learning with errors (RLWE), namely: we would like a wider error distribution to increase the security, but it comes at the cost of an increased decryption failure rate (DFR). A straightforward solution to this problem is the error-correcting code, which is commonly used in communication systems and already appears in some RLWE-based proposals. However, applying error-correcting codes to those cryptographic schemes is far from simply installing an add-on. Firstly, the residue error term derived by decryption has correlated coefficients, whereas most prevalent error-correcting codes with remarkable error tolerance assume the channel noise to be independent and memoryless. This explains why only simple error-correcting methods are used in existing RLWE-based PKE schemes. Secondly, the residue error term has correlated coefficients leaving accurate DFR estimation challenging even for uncoded plaintext. It can be found in the literature that a tighter DFR estimation can effectively create a DFR margin. Thirdly, most error-correcting codes are not well designed for safety considerations, e.g., syndrome decoding has a nonconstant time nature. A code good at error correcting might be weak under a variety of attacks. In this work, we propose a polar coding scheme for RLWE-based PKE. A relaxed “independence” assumption is used to derive an uncorrelated residue noise term, and a wireless communication strategy, outage, is used to construct polar codes. Furthermore, some knowledge about the residue noise is exploited to improve the decoding performance. With the parameterization of NewHope Round 2, the proposed scheme creates a considerable DRF margin, which gives a competitive security improvement compared to state-of-the-art benchmarks. Specifically, the security is improved by 28.8%, while a DFR of 2−149 is achieved a for code rate pf 0.25, n=1024,q= 12,289, and binomial parameter k=55. Moreover, polar encoding and decoding have a quasilinear complexity O(Nlog2N) and intrinsically support constant-time implementations.     

基于IERT的非线性全光谱复杂水体定量分析算法研究

水是一种有限的资源,对农业、工业乃至人类的生存都是必不可少的,良好的水环境是可持续发展的重要保障。对水质信息的科学监测,是实现水资源优化配置与高效利用的基础。联合国环境署（UNEP）与世界卫生组织（WHO）指出,应当加强发展中国家的水质监测网络,包括数据质量的保证和分析能力的提高。光谱法作为一种新兴的水质分析方法,相比传统的化学水质监测方法,具有“响应速度快、多参数同步、绿色无污染”的特点。传统单波长、多波长的线性模型依赖于水体对特定波长的吸收特征,不适用于多组分混合溶液且普适性较差。因此,提出了一种基于IERT的非线性全光谱定量分析算法,建立适用于多组分混合溶液浓度预测模型,达到利用全光谱信息来预测浓度信息的目的。利用实验室配置的COD,BOD₅和TOC多组分混合溶液与NO₃-N、浊度、色度多组分混合溶液作为实验样本,使用光谱仪采集样本的光谱曲线,通过全光谱数据进行浓度预测实验,结果显示,对于COD,BOD₅和TOC多组分混合溶液,本算法对于三种组分的决定系数（R2）分别为0.999 3,0.991 4和0.999 3,均方根误差（RMSE）分别为0.024 4,0.057 7和0.000 4;对于NO₃-N、浊度、色度多组分混合溶液,决定系数（R2）分别为0.983 4,0.868 4和0.981 0,均方根误差（RMSE）分别为0.100 5,0.326 4和0.120 2。通过对比本算法与偏最小二乘（PLS）、支持向量机回归（SVR）、决策树（DT）、极端随机树（ERT）对于同一组数据的实验结果,表明：在两组多组分混合溶液的实验中,本算法对于其中各组分的决定系数（R2）均为最优,相比于其他对比算法均方根误差（RMSE）均有大幅减少。本算法可利用光谱信息对多组分混合溶液进行定量分析,在计算时间相当的情况下,可有效的提高浓度预测精度,减少定量分析的均方根误差,可为光谱法水质监测提供一种新的有效途径。