Analysis and Study of a Mesoscale Inertia-Gravitational Wave in Upper Air

A mesoscale inertia-gravitational wave at 200 hPa is analysed. The reasons of this wave occurring are also discussed. It is indicated that the occurrence of this wave is due to inertia-gravitational instability, and closely related to horizontal and vertical shear of wind.

Characterization of Upper Air Way Tract in Snoring and Non-Snoring Patients: A CT Based Study

Snoring is part of the spectrum of sleep disordered breathing. The patients with snoring should be evaluated for nasal airway obstruction. In this study, the upper air way tract was characterized in snoring patients and compared with none snoring using a quantify method for the corresponding anatomic upper air way (UA) parameters examined by Computerized Tomography (CT). Two hundred Asian patients undergoing CT scanning for head and neck were included and were divided into two groups (snoring group [n = 127] and non-snoring group [n = 73]) (mean age: 44.8 ± 15.9 years and 26.2 ± 7.0). Total 8 parameters were measured on sagital reconstructed CT images for each subject. The differences in neck circumference (NC), linear distance between mandibular plane and hyoid bone (Mp-H), upper airway length (UAL), the maximum thickness of the soft palate (SP max), soft palate length (PNS-U), linear distance between anterior and posterior nasal spine (ANS-PNS), retroglosal width (RS), retroplatal width (RP) between the snoring and non-snoring groups were compared statistically using independent sample t-test. Results showed that the NC, UAL, and SP max were significantly higher in snoring group;however RP was found to be significantly lower. Inferior positioning of hyoid bone gives longer measurement for MP-H. In snoring group UAL was found to be significantly different at p ≤ 0.000 between the two genders. All the measured variables showed no significant differences in respect to age. UA CT quantitative features play an important role in the characterization of the anatomy and are compared between snoring patients and non-snoring subjects.

Missing Data Imputations for Upper Air Temperature at 24 Standard Pressure Levels over Pakistan Collected from Aqua Satellite

This research was an effort to select best imputation method for missing upper air temperature data over 24 standard pressure levels. We have implemented four imputation techniques like inverse distance weighting, Bilinear, Natural and Nearest interpolation for missing data imputations. Performance indicators for these techniques were the root mean square error (RMSE), absolute mean error (AME), correlation coefficient and coefficient of determination ( R2 ) adopted in this research. We randomly make 30% of total samples (total samples was 324) predictable from 70% remaining data. Although four interpolation methods seem good (producing <1 RMSE, AME) for imputations of air temperature data, but bilinear method was the most accurate with least errors for missing data imputations. RMSE for bilinear method remains <0.01 on all pressure levels except 1000 hPa where this value was 0.6. The low value of AME (<0.1) came at all pressure levels through bilinear imputations. Very strong correlation (>0.99) found between actual and predicted air temperature data through this method. The high value of the coefficient of determination (0.99) through bilinear interpolation method, tells us best fit to the surface. We have also found similar results for imputation with natural interpolation method in this research, but after investigating scatter plots over each month, imputations with this method seem to little obtuse in certain months than bilinear method.

Analysis of Temperature Trends and Variations in the Arabian Peninsula’s Upper Atmosphere

In this study, the trends of upper-air temperatures are analysed by utilising radiosonde observations for the barometric levels at 700, 500, 300, 200, 150, 100 and 50 hPa from five meteorological stations within the Arabian Peninsula from January 1986 to August 2015. The mean monthly variations of the temperatures at these levels are characterised and established. The magnitudes of the annual trends of the mean temperatures for each site for the selected barometric levels are studied and statistically tested using Mann-Kendall rank statistics at different significance levels. The temperature trends at different pressure levels show that the upper troposphere and lower stratosphere are warming, while the middle troposphere is cooling which is consistent with the findings of other studies. The variations in upper air temperature observed in this study can be attributed to a range of factors, including increasing greenhouse gas concentrations, changes in atmospheric circulation patterns, variations in solar activity, aerosols and volcanic eruptions, and land use and land cover change.

Impact of Mid-and Upper-Level Dry Air on Tropical Cyclone Genesis and Intensification:A Modeling Study of Durian(2001)

The impact of mid-and upper-level dry air,represented by low relative humidity(RH)values,on the genesis of tropical cyclone(TC)Durian(2001)in the South China Sea was investigated by a series of numerical experiments using the Weather Research and Forecasting model.The mid-level RH was lowered in different regions relative to TC Durian(2001)’s genesis location.Results suggest that the location of dry air was important to Durian(2001)’s genesis and intensification.The rapid development of the TC was accompanied by sustained near-saturated mid-and upper-level air,whereas low humidity decelerated its development.Water vapor budget analysis showed that moisture at mid and upper levels was mainly supplied by the vertical convergence of moisture flux and the divergence terms,and consumed by the condensation process.The horizontal convergence of moisture flux term supplied moisture in the air moistening process but consumed moisture in the air drying process.With a dryer mid-and upper-level environment,convective and stratiform precipitation were both inhibited.The upward mass fluxes and the diabatic heating rates associated with these two precipitation types were also suppressed.Generally,convection played the dominant role,since the impact of the stratiform process on vertical mass transportation and diabatic heating was much weaker.The vorticity budget showed that the negative vorticity convergence term,which was closely related to the inhibited convection,caused the vorticity to decrease above the lower troposphere in a dryer environment.The negative vorticity tendency is suggested to slow down the vertical coherence and the development rate of TCs.

Direct visualizations of air flow in the human upper airway using in-vitro models

A better understanding of airflow characteristics in the upper airway(UA) is crucial in investigating obstructive sleep apnea(OSA), particle sedimentation, drug delivery, and many biomedical problems. Direct visualization of air flow patterns in in-vitro models with realistic anatomical structures is a big challenge. In this study, we constructed unique half-side transparent physical models of normal UA based on realistic anatomical structures. A smoke-wire method was developed to visualize the air flow in UA models directly. The results revealed that the airflow through the pharynx was laminar but not turbulent under normal inspiration, which suggested that compared with turbulent models, a laminar model should be more suitable in numerical simulations. The flow predicted numerically using the laminar model was consistent with the observations in the physical models. The comparison of the velocity fields predicted numerically using the half-side and complete models confirmed that it was reasonable to investigate the flow behaviors in UA using the half-side model. Using the laminar model, we simulated the flow and evaluated the effects of UA narrowing caused by rostral fluid shift on pharyngeal resistance. The results suggested that fluid shift could play an important role in the formation of hypopnea or OSA during sleep.

A REGIONAL COUPLED AIR-SEA-WAVE MODEL: SIMULATION OF UPPER-OCEAN RESPONSES TO AN IDEALIZED TROPICAL CYCLONE

In this study a coupled air-sea-wave model system, containing the model components of GRAPES-TCM, ECOM-si and WAVEWATCH III, is established based on an air-sea coupled model. The changes of wave state and the effects of sea spray are both considered. Using the complex air-sea-wave model, a set of idealized simulations was applied to investigate the effects of air-sea-wave interaction in the upper ocean. Results show that air-wave coupling can strengthen tropical cyclones while air-sea coupling can weaken them; and air-sea-wave coupling is comparable to that of air-sea coupling, as the intensity is almost unchanged with the wave model coupled to the air-sea coupled model.The mixing by vertical advection is strengthened if the wave effect is considered, and causes much more obvious sea surface temperature(SST) decreases in the upper ocean in the air-sea coupled model. Air-wave coupling strengthens the air-sea heat exchange, while the thermodynamic coupling between the atmosphere and ocean weakens the air-sea heat exchange: the air-sea-wave coupling is the result of their balance. The wave field distribution characteristic is determined by the wind field. Experiments are also conducted to simulate ocean responses to different mixed layer depths.With increasing depth of the initial mixed layer, the decrease of SST weakens, but the temperature decrease of deeper layers is enhanced and the loss of heat in the upper ocean is increased. The significant wave height is larger when the initial mixed layer depth increases.

随机误差传递的高空气象秒级数据快速校验方法

【目的】为保证气象预报结果的准确性。【方法】提出了考虑随机误差传递的高空气象秒级数据快速校验方法。对高空气象秒级数据进行预处理,包括数据中心化处理、特征点提取。数据中心化的处理方式为实施各组数据的加权平均处理,获得新的数据组作为基准数据;特征点提取使用的处理方法为遍历法,需要遍历全部数据点。考虑数据获取过程中的随机误差传递情况,对预处理后的高空气象秒级数据实施空间一致性检查、内部一致性检查。应用集合经验模态分解EEMD(Ensemble Empirical Mode Decomposition)算法与对比源反演CSI(Contrast Source Inversion)算法构建基于CSI-EEMD的高空气象秒级数据快速校验模型,实施数据得到快速校验。【结果】测试结果表明,该方法能够实现4个气象站数据的快速校验,校验结果的均方根误差与平均绝对误差均低于0.1,实现了数据的质量控制。【结论】将该方法应用于气象站数据校验中,可以实现精准度的数据校验,具有一定的实用价值。

装药弹体高空跌落冲击动态响应研究

弹药意外跌落的冲击作用,可能引发事故甚至导致弹药出现早爆而造成灾难性后果。采用LSDYNA研究了分体式装药弹体从10~35 m范围内6个不同高度垂直撞击混凝土介质的冲击响应,获得了装药弹体从不同高度冲击混凝土介质时冲击过载峰值和脉宽的变化规律、装药内部应力波的传播规律,以及混凝土地面的开坑状况。冲击过载脉宽大约为5 ms,过载峰值最大约为1000 g,装药头部主要受到压缩作用,轴向应力呈近似半正弦规律变化,其最大值为43.9 MPa。开坑数值模拟结果与实验结果吻合较好,证明了数值模拟的合理性。

青藏高原地区大气红外探测器(AIRS)资料质量检验及揭示的上对流层水汽特征

上对流层水汽（UTWV）是大气中最重要的温室气体,对全球气候变暖有重要贡献;而青藏高原被认为是UTWV进入平流层的重要通道,在平流层-对流层水汽交换及平流层水汽变化中扮演着重要角色。首先利用高原探空站资料对大气红外探测器（AIRS）反演的水汽数据在高原地区的质量进行了检验,发现AIRS反演的水汽数据与探空实测数据是相当一致的。其中全年和夏半年AIRS的可信度较好,而冬半年,尤其是上对流层AIRS水汽可信度相对较低,但在缺乏高精密数据时仍部分可用。利用AIRS资料对青藏高原地区UTWV季节变化特征进行了分析,结果表明,高原冬季偏干,而夏季显著偏湿,并且空间分布具有明显的不均匀性。经验正交函数（EOF）分析显示,夏季高原UTWV主要存在三种空间分布型,即全区一致型,高原东西偶极型和南北带状偶极型。一致型分布具有明显的季节变化,而偶极型则以季节内振荡为主。在此基础上,重点研究夏半年高原地区UTWV季节内振荡特征,结果表明,UTWV季节内振荡的显著周期位于10～20天和30～60天。前者主要表现为纬向东传,并且可以越过高原进入我国江淮流域上空;而后者主要向南移动,基本表现为高原局地振荡。最后,进一步探讨了高原UTWV季节内振荡的可能机制,结果表明,高原地区UTWV的低频变化主要与高原热状况、南亚高压活动及其与二者相耦合的对流活动有关。

经编贾卡鞋面材料的孔隙特征与透气透湿性研究

为探究经编贾卡鞋面材料网孔组织设计、织物孔隙特征、鞋材透气透湿性能三者之间的关联规律,依据特定的贾卡意匠图设计,制备6种不同结构的鞋材样品进行测试,从表面孔隙率、体积质量与平均孔径描述织物孔隙特征,并对比分析对鞋材透气透湿性能的影响。结果表明:意匠设计中厚组织比例的增加会降低织物表面孔隙率并增加体积质量,进而降低鞋材的透气透湿性;网孔组织比例的增加会增加织物表面孔隙率,并降低体积质量,进而增强其透气透湿性;同等织物厚度下有网孔组织设计的鞋材透气透湿性显著优于无网孔组织设计,但同等网孔比例设计下平均孔径更大的鞋材透气透湿性能更优。

AIRS反演中国区域上对流层水汽分布特征研究

上对流层水汽分布对于全球能量和水循环具有非常重要的影响。利用美国Aqua卫星红外高光谱仪器(AIRS)反演的湿度廓线资料对中国上对流层水汽时空分布特征进行了分析。为了保证卫星反演湿度廓线产品精度可以满足气候特征分析的需求,首先利用JICA野外加密探空试验观测数据对卫星反演湿度廓线进行了真实性检验,分析表明,Aqua卫星搭载的AIRS反演的湿度廓线与探空加密观测数据总体具有较好的相关性,在200 hPa高度相对湿度偏差在5%以内,其精度可以用于上对流层水汽气候特征的分析。通过趋势分析以及EOF分解等方法,分析了2003年1月—2013年12月的中国区域上对流层水汽时空分布特征,结果表明,受夏季风影响,中国区域上对流层水汽具有明显的季节变化规律和年周期特征,中国大部分地区上对流层冬季偏干、夏季偏湿,夏季高湿区可以北移到35°N以北。而在新疆地区冬季偏湿、夏季偏干。总体来说,全年夏季水汽含量最高,秋季次之,冬季最小。2003年以来新疆地区及南部海域上对流层水汽呈显著增加趋势,华南、华北、内蒙古中西部水汽也有所增加,在高原地区及东北区域上对流层水汽稍有减少,但变化均不显著。上对流层水汽的增加,将有可能放大温室效应,在气候变化研究中应给予重视。

实现“人机共存”的上层空间紫外辐照系统的应用及研究进展

目前预防空气中病原体传播的重要性日益凸显,寻求有效的空气消杀技术变得至关重要。上层空间紫外辐照技术作为一种高效、经济且满足“人机共存”的空气消杀解决方案,已应用于针对预防结核传播中。随着固态紫外光源的发展,新型上层空间紫外辐照系统相较于传统系统,在光源升级、光束整形、结构设计等方面均有提升。光束整形的优化可使紫外线更精准地照射目标区域,提高消毒效果。本文综述了上层紫外线辐照系统的技术原理、研发现状、应用领域,并对未来发展趋势进行了展望。

间隔装药的殉爆起爆技术在露天矿山爆破中的应用

为了降低西沟露天石料厂的采石爆破成本,提高经济效益;应用空气袋间隔装药装置技术进行了150 mm炮孔和100 mm炮孔的爆破实验对比,同时进行了露天炮孔孔内反向和正向起爆殉爆试验对比。结果表明:采用炮孔中部空气袋间隔装置的露天矿台阶爆破,电子雷管起爆一端装药之后再利用其爆轰波殉爆起爆另一端装药,孔径大的炮孔比孔径小的炮孔殉爆起爆的爆破效果好;采用殉爆起爆技术后,做到了节能减排和提效;反向起爆爆破法与正向起爆爆破法相比,爆破效果更好。

晾制时间对上部叶烘烤过程生理特性和烟叶品质的影响

为探究晾制时间对上部叶烘烤过程生理特性和烤后烟叶品质的影响,以K326的上部叶为试验材料,通过先晾后烤的方法,以当地常规烘烤(无晾制)模式为对照(CK),设置了T_(1)(晾制24 h)、T_(2)(晾制36 h)2种晾制时间,探究了先晾后烤处理对烟叶烘烤工艺、烘烤过程烟叶的生理特性及烤后烟化学成分和香气成分的影响,得出最适宜的晾制时间和烘烤工艺。结果表明:与常规烘烤相比,T_(1)、T_(2)处理在烘烤前含水率分别下降了2.81、3.03个百分点;T_(2)处理烘烤总用时下降了22 h,均价提高了4.13%;与CK相比,T_(2)处理烤后烟叶烟碱和总氮含量分别显著降低了1.16、0.35个百分点;T_(1)、T_(2)处理棕色化反应产物、苯丙氨酸裂解产物、类胡萝卜素降解产物总量均增加,T_(2)处理的香气总量提升了6.40%。综上所述,南平地区K326上部叶经过先晾后烤处理后烘烤用时缩短、经济性状好、烤后烟叶总体质量符合上部叶增效提质要求,其中T_(2)处理的效果整体表现最优。

Machine learning to relate PM2.5 and PM10 concentrations to outpatient visits for upper respiratory tract infections in Taiwan:A nationwide analysis

AIM To examine the accuracy of machine learning to relate particulate matter(PM) 2.5 and PM10 concentrations to upper respiratory tract infections(URIs).METHODS Daily nationwide and regional outdoor PM2.5 and PM10 concentrations collected over 30 consecutive days obtained from the Taiwan Environment Protection Administration were the inputs for machine learning, using multilayer perceptron(MLP), to relate to the subsequent one-week outpatient visits for URIs. TheURI data were obtained from the Centers for Disease Control datasets in Taiwan between 2009 and 2016. The testing used the middle month dataset of each season(January, April, July and October), and the training used the other months' datasets. The weekly URI cases were classified by tertile as high, moderate, and low volumes.RESULTS Both PM concentrations and URI cases peak in winter and spring. In the nationwide data analysis, MLP machine learning can accurately relate the URI volumes of the elderly(89.05% and 88.32%, respectively) and the overall population(81.75% and 83.21%, respectively) with the PM2.5 and PM10 concentrations. In the regional data analyses, greater accuracy is found for PM2.5 than for PM10 for the elderly, particularly in the Central region(78.10% and 74.45%, respectively), whereas greater accuracy is found for PM10 than for PM2.5 for the overall population, particularly in the Northern region(73.19% and 63.04%, respectively).CONCLUSION Short-term PM2.5 and PM10 concentrations were accurately related to the subsequent occurrence of URIs by using machine learning. Our findings suggested that the effects of PM2.5 and PM10 on URI may differ by age, and the mechanism needs further evaluation.

Impact of sea spray on upper ocean temperature during typhoon passage:simulation with a 1-D turbulent model

At the interface between the lower atmosphere and sea surface,sea spray might significantly influence air-sea heat fluxes and subsequently,modulate upper ocean temperature during a typhoon passage. The effects of sea spray were introduced into the parameterization of sea surface roughness in a 1-D turbulent model,to investigate the effects of sea spray on upper ocean temperature in the Kuroshio Extension area,for the cases of two real typhoons from 2006,Yagi and Soulik. Model output was compared with data from the Kuroshio Extension Observatory(KEO),and Reynolds and AMSRE satellite remote sensing sea surface temperatures. The results indicate drag coefficients that include the spray effect are closer to observations than those without,and that sea spray can enhance the heat fluxes(especially latent heat flux) considerably during a typhoon passage. Consequently,the model results with heat fluxes enhanced by sea spray simulate better the cooling process of the SST and upper-layer temperature profiles. Additionally,results from the simulation of the passage of typhoon Soulik(that passed KEO quickly),which included the sea spray effect,were better than for the simulated passage of typhoon Yagi(that crossed KEO slowly). These promising 1-D results could provide insight into the application of sea spray in general circulation models for typhoon studies.

Contribution of surface wave-induced vertical mixing to heat content in global upper ocean

Compared with observations,the simulated upper ocean heat content(OHC)determined from climate models shows an underestimation bias.The simulation bias of the average annual water temperature in the upper 300 m is 0.2℃lower than the observational results.The results from our two numerical experiments,using a CMIP5 model,show that the non-breaking surface wave-induced vertical mixing can reduce this bias.The enhanced vertical mixing increases the OHC in the global upper ocean(65°S–65°N).Using non-breaking surface wave-induced vertical mixing reduced the disparity by 30%to 0.14℃.The heat content increase is not directly induced by air-sea heat fluxes during the simulation period,but is the legacy of temperature increases in the first 150 years.During this period,additional vertical mixing was initially included in the climate model.The non-breaking surface wave-induced vertical mixing improves the OHC by increasing the air-sea heat fluxes in the first 150 years.This increase in air-sea heat fluxes warms the upper ocean by 0.05–0.06℃.The results show that the incorporation of vertical mixing induced by nonbreaking surface waves in our experiments can improve the simulation of OHC in the global upper ocean.

云南2022年2月19—24日的极端冷事件分析

2022年2月19—24日受强冷空气影响,云南全省发生了一次极端冷事件,该事件降温强度大、影响范围广、持续时间长。利用云南124个站气象观测资料、NCEP/NCAR和ERA5大气环流再分析资料,分析了此次冷事件的极端性特征及其过程期间高低层大气环流异常的演变特征。结果表明:此次冷事件的极端性较强,是云南省近10年第二强的区域性寒潮天气过程,全省有69个站达到中等以上强度寒潮标准,有10个站日平均气温达到或突破2月最低纪录。过程期间雨雪天气突出,过程累计降水接近2月常年,单日降雪范围为近20年以来最大。影响此次冷事件的因子极其复杂,冷空气活动与乌拉尔山高压脊、东亚槽、亚洲高空西风急流、西伯利亚高压等大气环流系统的加强演变密切联系,并与起源于北大西洋地区的副热带异常波列的东传有关,该异常波列对于青藏高原地区波能量的向南频散和冷空气的南下有十分重要的引导作用,并对南支槽前的西南水汽输送加强有一定影响;同时,热带地区的对流活动也对东亚地区冷空气的加强南下有一定影响。过程期间,冷空气沿东北路径南下影响云南,云南区域冷暖空气的交汇作用十分显著,导致过程期间出现明显低温雨雪。

体育领域用交联改性超纤革基布的卫生性能研究

为分析体育领域常用的超纤革基布卫生性能,以鞣剂F-90为交联剂,对一种篮球鞋用超纤革基布进行胶原蛋白交联改性并分析其透气性、吸水性等。结果表明:以超纤革基布质量分数计,当胶原蛋白用量为15%,交联剂用量为6%,“交联+改性时间”为4 h,pH值为7时,这种超纤革基布材料的透气性、吸湿性最佳。