Two different periods of high dust weather frequency in northern China

This study reveals that, during the period 1966-2014, dust weather frequency （DWF） in northern China （north of 30°N） features two high-DWF periods, in 1966-1979 （PI） and 2000-2014 （P2）, when the linear trend of DWF is removed during the study period. Here, DWF denotes the number of days of dust weather events in the spring season （March-April-May）, including dust haze, blowing dust, and dust storms, which occurred in northern China. The results show that the DWF is much higher in PI than in P2, with increased DWF distributed over southern Xinjiang, the central part of northern China. The main cause is the SST difference in the Atlantic and Pacific between the two periods. It is also found that a meridional teleconnection over East Asia in PI and a zonal wave-like pattern over Eurasia in P2 at 200 hPa play a significant role in the interannual variability in the two periods, respectively. SST over the subtropical North Atlantic （extratropical SST between the Norwegian and Barents seas） may partly contribute to the upper-level meridional （zonal） teleconnection in PI （P2）.

Relationship between East Asian Monsoon and Dust Weather Frequency over Beijing

The relationship between dust weather frequency （DWF）, which denotes the number of days of dust weather events, over Beijing and the East Asian Monsoon （EAM） was studied using DWF data for Beijing during the period 1951-2006. Results show that, during this period, the blowing-dust weather frequency （BDWF）, as well as the indices of East Asian winter monsoon （EAWM） and East Asian summer monsoon （EASM）, all decreased considerably, with a t-test confidence level of 99%. The correlation coeffcients between the chosen EAWM index and BDWF over Beijing in winter and the following spring were 0.34 and 0.33, respectively, with significance levels of 0.01 and 0.02, respectively. For the chosen EASM index and BDWF, these correlation coeffcients were 0.51 and 0.45, respectively, with both at a confidence level exceeding 99.9%. With the linear trends removed, the values （in the same order as above） were 0.14, 0.14, -0.12, and -0.09, all not significant at the 95% confidence level. Clearly, the EAM relates mainly to DWF over long timescales. To a certain extent, the EAM might have some impact on DWF by affecting the associated surface air temperature and precipitation during the corresponding time period in sand-dust source regions at the interannual scale. A stronger （weaker） EAWM might advance （suppress） the occurrence of DWF, and the opposite for the EASM.

Influence of Dust Weather on Air Quality in Lanzhou City

[Objective] The study aimed to discuss the effects of dust weather on air quality in Lanzhou City. [Met]hod] Under the influence of a strong sandstorm during March 8 -15, 2013 on air quality in Gansu Province, the changes of wind speed, atmospheric visibility and PM10 concentra- tion as well as air pollution in Lanzhou were analyzed. [ Result] The dust weather during March 8 -15, 2013 affected Lanzhou City for the longest time in recent 10 years, and the city suffered medium pollution on March 8 and heavy pollution during March 9 -15 under the influence of the dust weather, while PM10 was the pdmary pollutant. [ Condusion] The research could provide the corresponding technical support for the prevention and control of environmental pollution in Lanzhou City.

New Characteristics of the Dust Weather in Northern Shaanxi in Recent 10 Years

[Objective] The research aimed to study new characteristics of the dust weather in northern Shaanxi in recent 10 years and correlation between dust weather and meteorological factor. [ Method] Based on observation data of 3 national basic meteorological stations （Yuyang District, Dingbian and Yan＇an） during 2001 -2010, the newest fact characteristics of temporal-spatial evolution for sand storm, sand blowing and floating dust in northern Shaanxi during 2001 -2010 were illustrated. Correlation between dust weather and meteorological factor （gale, precipitation and temperature） was analyzed. [Result] Compared with the 1990s, dust days in northern Shaanxi during 2001 -2010 still continued to decrease. There was no sand storm in Yan＇an. Sand storm days in northem region of north Shaanxi in most years was 1.0 -2.0 d. Sand blowing was main characteristics of the dust weather in northern Shaanxi, and proportion of the sand blowing days to dust days was 80% -90%. Dust days in Dingbi- an had good correlation with gale days, but gale days was smaller than dust days. That is to say, smaller wind force could induce dust weather. Decrease of the dust days presented inverse correlations with precipitaion and temperature. Precipitation increase and temperature rise could inhibit occurrence of the dust weather. Although total dust days decreased, sand storm in Yuyang District had increase tendency. [ Conclusion] The research had scientific, objective and practical significance for prediction of the climate change tendency in northern Shaanxi.

Relationship between sand-dust weather and water dynamics of desert areas in the middle reaches of Heihe River

Sand-dust weather has become an international social-environmental issue of common concern, and constitutes a serious threat to human lives and economic development. In order to explore the responses of natural desert sand and dust to the dynamics of water in desertification, we extracted long-term monitoring data related to precipitation, soil water, groundwater, and sand-dust weather. These data originated from the test stations for desertification control in desert areas of the middle reaches of the Heihe River. We used an algorithm of characteristic parameters, correlations, and multiple regression analysis to establish a regression model for the duration of sand-dust weather. The response char-acteristics of the natural desert sand and dust and changes of the water inter-annual and annual variance were also examined. Our results showed： （1） From 2006 to 2014 the frequency, duration, and volatility trends of sand-dust weather obviously increased, but the change amplitudes of precipitation, soil water, and groundwater level grew smaller. （2） In the vegetative growth seasons from March to November, the annual variance rates of the soil moisture content in each of four studied layers of soil samples were similar, and the changes in the frequency and duration of sand-dust weather were similar. （3） Our new regression equation for the duration of sand-dust weather passed the R test, F test, and t test. By this regression model we could predict the duration of sand-dust weather with an accuracy of 42.9%. This study can thus provide technological support and reference data for water resource management and re-search regarding sand-dust weather mechanisms.

Meteorological Characteristics of a Typical Dust Weather Process in the Eastern Qinghai-Tibet Plateau

Based on the comprehensive ground observation and the remote sensing data of Fengyun-4 satellite of a typical sand-dust weather process in the eastern part of the Qinghai-Tibet Plateau from November 26 to 27,2018,the weather situation,air mass trajectory,meteorological conditions,and pollution characteristics of this process were analyzed.The results show that the floating dust process was caused by the transmission of the northwest cold air flow in the Tarim Desert area,which caused dust and sand mixed with the Qaidam Desert particles to be transported to Xining.The wind field change caused by the difference of ground heat in the eastern plateau was a potential factor for dust transmission,and tropospheric subsidence,temperature inversion conditions,and the decrease in wind speed over Xining Station were the direct factors leading to the daily change of pollutant concentration in this process.

Comparison between the Causes and Transmission Characteristics of Two Sand and Dust Weather Processes with Heavy Pollution in Ulanqab City

The actual situation of two sand and dust weather processes with heavy pollution in Ulanqab City in 2021 was analyzed from the aspects of air quality,visibility,PM_(2.5)and PM_(10),and the causes of the sand and dust weather with heavy pollution were discussed.The differences between the two processes in transport characteristics of sand and dust were studied,and the roles of high-and low-altitude weather systems and their impact on sand and dust transport were explored.

Analysis of Dust Weather Process in Most Areas of China from January 11 to 16, 2021

The DERF2.0 model of China National Climate Center and NCEP (National Centers for Environmental Prediction) data were used in this paper. Using the knowledge of synoptic principles, the process of dust weather in most parts of China from January 11 to 16, 2021 was analyzed. The results show that: 1) Compared with previous years, this process has a large impact scope and appears earlier. 2) The continuous cold air caused the dust weather process. 3) The surface cold front is conducive to the development of dust. 4) Surface cyclone is conducive to the transport and diffusion of dust.

Impact of Dust Weather on Air Quality and Solar Radiation

Based on the observation data of PM 10 mass concentration, ground meteorological elements and solar radiation in Dunhuang and Jiuquan , the changing trends of PM 10 mass concentration and solar total radiation in the west of the Hexi Corridor in the spring of 2014 (from March to May) were studied, and the relationship between solar total radiation and net radiation in different pollution situations was analyzed. Moreover, the changes of solar radiation and PM 10 mass concentration in a typical dust process in April 2014, as well as the responses of ground meteorological elements were also analyzed. The results showed that in the west of the Hexi Corridor, solar total radiation and PM 10 mass concentration showed an increasing trend with fluctuation, and there was inverse correlation between them. The correlation was particularly obvious in dust days. The dust weather led to the increase of PM 10 mass concentration, so that the total radiation decreased. The net radiation declined in the daytime and rose at night. Dust weather is a major factor affecting air quality and total radiation.

Seasonal Prediction of Spring Dust Weather Frequency in Beijing

In this paper, seasonal prediction of spring dust weather frequency （DWF） in Beijing during 1982–2008 has been performed. First, correlation analyses are conducted to identify antecedent climate signals during last winter that are statistically significantly related to spring DWF in Beijing. Then, a seasonal prediction model of spring DWF in Beijing is established through multivariate linear regression analysis, in which the systematic error between the result of original prediction model and the observation, averaged over the last 10 years, is corrected. In addition, it is found that climate signals occurring synchronously with spring dust weather, particularly meridional wind at 850 hPa over western Mongolian Plateau, are also linked closely to spring DWF in Beijing. As such, statistical and dynamic prediction approaches should be combined to include these synchronous predictors into the prediction model in the real-time operational prediction, so as to further improve the prediction accuracy of spring DWF in Beijing, even over North China. However, realizing such a prediction idea in practice depends essentially on the ability of climate models in predicting key climate signals associated with spring DWF in Beijing.

Prediction model for spring dust weather frequency in North China

It is of great social and scientific importance and also very difficult to make reliable prediction for dust weather frequency (DWF) in North China. In this paper, the correlation between spring DWF in Beijing and Tianjin observation stations, taken as examples in North China, and seasonally averaged surface air temperature, precipitation, Arctic Oscillation, Antarctic Oscillation, South Oscillation, near surface meridional wind and Eurasian westerly index is respectively calculated so as to construct a prediction model for spring DWF in North China by using these climatic factors. Two prediction models, i.e. model-I and model-II, are then set up respectively based on observed climate data and the 32-year (1970 -2001) extra-seasonal hindcast experiment data as reproduced by the nine-level Atmospheric General Circulation Model developed at the Institute of Atmospheric Physics (IAP9L-AGCM). It is indicated that the correlation coefficient between the observed and predicted DWF reaches 0.933 in the model-I, suggesting a high prediction skill one season ahead. The corresponding value is high up to 0.948 for the subsequent model-II, which involves synchronous spring climate data reproduced by the IAP9L-AGCM relative to the model-I. The model-II can not only make more precise prediction but also can bring forward the lead time of real-time prediction from the model-I’s one season to half year. At last, the real-time predictability of the two models is evaluated. It follows that both the models display high prediction skill for both the interannual variation and linear trend of spring DWF in North China, and each is also featured by different advantages. As for the model-II, the prediction skill is much higher than that of original approach by use of the IAP9L-AGCM alone. Therefore, the prediction idea put forward here should be popularized in other regions in China where dust weather occurs frequently.

The Variation Characteristics of Wind Speed Profile and PM_(10) during Typical Sand Weather in Inner Mongolia,China

Based on the data of the wind speed from 20 m meteorological tower and PM10 mass concentration in Zhurihe region from January of 2005 to April of 2006,the evolution characteristics of wind speed profile in near surface layer and PM10 in three representative dust weather processes (dust storm,blowing sand and floating dust) were analyzed.The results showed that wind speed was higher during dust storm and blowing sand with remarkable vertical gradient.The speed in floating dust was relatively lower and increased during the whole process.In general,wind speed after dust weather was smaller with respect to that before the event.The average mass concentrations of PM10 in the processes of dust storm,blowing sand and floating dust were in the ranges of 5 436.38-10 000,1 799.49-4 006.06 and 1 765.53 μg/m3,respectively.

一种基于K-means聚类算法的沙尘天气客观识别方法

鉴于以往基于污染物浓度时间序列进行分析的沙尘天气识别方法在判断标准上存在一定的主观性,本文提出一种基于K-means聚类算法的沙尘天气客观识别方法。本方法利用环境监测总站的PM2.5和PM10小时浓度资料进行聚类,首先选取最优的分类数目K进行聚类,其次对聚类结果中离散程度较高的类别进行再次聚类,直到无需分类。将本方法应用于西安市2018年2~4月沙尘天气的识别中,结果表明,本方法可有效识别主要沙尘天气。此外,利用本方法可得到沙尘天气典型特征:PM2.5占PM10浓度的比例小于43.5%、PM10浓度高于228μg/m^(3,)符合沙尘天气期间PM10浓度较高且以粗颗粒物为主的物理特征。总体上看,本方法物理基础清晰,可操行性强,适用于大规模数据处理,具有较好的实用价值和应用前景。

基于复杂网络模型的沙尘天气空间交互影响研究--以雅鲁藏布江中游为例

利用2017-2020年冬春季(10月-次年4月)雅鲁藏布江中游的15个气象站逐小时最低能见度数据,采用转移熵方法构建区域沙尘传输矩阵,基于复杂网络理论分析沙尘天气的空间传输及交互影响特征。结果表明:(1)雅鲁藏布江中游沙尘天气系统是一个稳健性网络,站点之间的沙尘天气互相影响,说明沙尘可以跨区域输送。(2)申扎、南木林和尼木处于沙尘天气空间关联网络的核心,这三个地区是研究区的主要沙尘分布区;拉萨和墨竹工卡沙尘天气受其他站点影响程度最小。(3)研究区沙尘天气影响时间短。沙尘持续时间以1 h为主,说明以局地起沙为主;3 h持续时间次之,说明各站点之间相互传输;6 h持续时间最少,说明沙尘不能长时间输送。雅鲁藏布江中游沙尘天气既有局地供应,又有区域传输,各站点之间相互影响,形成复杂的空间交互网络。为了减少研究区沙尘灾害的影响,应该立足于全面协调协作进行治理。

Vertical distribution characteristics of dust aerosol mass concentration in the Taklimakan Desert hinterland

The different height mass concentrations of dust aerosol data from the atmosphere environment observation station （Ta- zhong Station） was continuously observed by instruments of Grimm 1.108, Thermo RP 1400a and TSP from January of 2009 to February of 2010 in the Taklimakan Desert hinterland. Results show that： （1） The mass concentration value of 80 m PMl0 was higher, but PM2.5 and PM1.0 concentrations at 80 m was obviously lower than 4 m PMl0, and the value of 80 m PM1.0 mass concentration was the lowest. （2） The PM mass concentrations gradually decreased from night to sunrise, with the lowest concentration at 08：00, with the mass concentration gradually increased, up to the highest concentration around 18：00, and then decreased again. It was exactly the same with the changes of wind speed. （3） The high monthly average mass concentration of TSP mainly appeared from March to September, and the highest concentration was in April and May, subsequently gradually decreased. Also, March-September was a period with high value area of PM monthly average mass concentration, with the highest monthly average mass concentration of 846.0 p.g/m3 for 4 m PM^0 appeared in May. The concentration of PM10 was much higher than those of PM2.5 and PM1.0 at 80 m. There is a small difference between the concentration of PM2.5 and PM~ 0. Dust weather was the main factor which influenced the concentration content of the different diameter dust aerosol, and the more dust weather days, the higher content of coarse particle, conversely, fine particle was more. （4） The mass concentration of different diameter aerosols had the following sequence during dust weather： clear day 〈 blowing dust 〈 floating and blowing dust 〈 sandstorm. In different dust weather, the value of PM^o/TSP in fine weather was higher than that in floating weather, and much higher than those in blowing dust and sandstorm weather. （5） During the dust weather process, dust aerosol concentration gradually decreased with particle size decreasing. The dust aerosol mass concentration at different heights and diameter would have a peak value area every 3-4 days according to the strengthening process of dust weather.

塔克拉玛干沙漠北缘地区微生物气溶胶的多样性

为了探究塔克拉玛干沙漠北缘地区微生物气溶胶的多样性以及对人体健康的影响,采用FKC-1型浮游空气尘菌采样器,在塔克拉玛干沙漠腹中地区进行采样,对细菌、真菌浓度以及种类进行了分析并且进行对比。结果表明:在沙尘天气,细菌菌种种类远高于真菌,而真菌数量高于细菌,在最高水平门水平,细菌在总共分为5个门,真菌分为4个门,其中真菌总数量约为细菌总数量的2.4倍。在各个等级中,细菌种类增长过快,其分配给各个菌种的数量减少,真菌数量总是高于细菌数量。

2021年宁夏两次持续沙尘重污染天气对比分析

为探究气象条件变化对宁夏沙尘重污染天气过程的影响特征,利用常规气象观测数据、NCEP再分析资料及环境空气质量数据,选取2021年1月11-14日和2021年3月14-19日两次沙尘重污染天气(分别简称“0113”过程和“0315”过程)为研究对象,基于天气形势、后向轨迹模拟及物理量场诊断等方法,对比两次过程影响系统及传输轨迹,探讨形成和维持机制.结果表明:①“0113”过程主要影响宁夏北部四市,“0315”过程影响整个宁夏,两次沙尘过程中重度及以上污染平均持续时间分别为35.0和105.2h,沙尘污染暴发阶段PM_(10)浓度平均值分别为1735和5265μg/m3.②“0113”过程为一次强度一般的锋面过境引起的沙尘重污染天气,稳定少动的青藏高压与其北侧蒙古热低压之间形成显著的气压梯度带,高空脊前多股强西北气流引起动量下传,使宁夏及上游地区大风将沙尘输送至宁夏造成重污染;“0315”过程为一次较强的典型锋面过境及蒙古气旋造成的持续沙尘重污染天气,蒙古冷高压受强盛蒙古气旋和青藏高原热低压夹击稳定少动,其西南、东南及东部与两个热低压形成气压梯度带,加之受地面冷锋过境影响,宁夏及周边地区多方向大风将沙尘向宁夏上空输送造成“0315”过程较“0113”过程污染更严重.③两次过程中沙尘均为境外和境内同时输送,“0113”过程为西北和偏西路径,传输距离长且高度较低;“0315”过程为西北、偏北和偏东路径,传输距离短且高度较高.④“0315”过程中蒙古国及我国新疆-甘肃一带负水平螺旋度中心值为“0113”过程的1.75倍,较强的辐合上升运动和西风气流将沙尘持续向宁夏上空输送并与本地沙尘叠加,上升和下沉运动交替使沙尘长时间悬浮于空中,而“0113”过程受多股强下沉气流造成沙尘迅速沉降至地面,污染快速减弱.研究显示:冷锋和蒙古气旋是宁夏沙尘重污染天气的主要影响系统,当有只冷锋过境时,上游沙尘传输高度低,到达宁夏上空沙尘粒子相对少,使宁夏沙尘重污染天气持续时间短且强度相对较弱;当伴有蒙古气旋活动时,沙尘传输高度高,到达宁夏上空沙尘粒子多,使宁夏沙尘重污染天气持续时间长、影响范围广且强度较强.

中国西北城市沙尘天气变化特征——以兰州为例

近年来,众多学者对我国西北地区沙尘暴的研究主要集中于大尺度、区域性,对城市沙尘暴研究较少。为了解城市沙尘暴的变化特征,本文以兰州为例,分析城市沙尘天气变化特征。结果表明:(1)兰州2009—2023年浮尘、扬沙、沙尘暴日数在时间序列水平上呈多段波动变化趋势,沙尘天气总日数在时间序列水平上整体呈0.66 d·a^(-1)微弱递减趋势。(2)兰州沙尘天气集中发生在春季,在3月断崖式上升后逐月递减,主要以浮尘为主,其次为扬沙、沙尘暴。(3) 2009—2023年兰州年均沙尘天气发生频次与风速呈正相关,是影响沙尘天气的主要气象因子,与相对湿度呈微弱负相关,与其余气象因素无明显相关关系。(4)浮尘日数存在2~3 a、4~7 a、8~23 a 3种时间周期尺度,呈多段不显著波动趋势,其中,8~23 a对应两个峰值,振幅最强,是浮尘波动的主周期。

西北干旱区荒漠戈壁两次极端沙尘事件的对比研究

为深入理解极端沙尘暴事件的演变过程和驱动因子,结合多源卫星遥感及再分析数据,挑选2007年3月31日(“3·31”事件)和2021年3月14日(“3·14”事件)爆发于西北干旱区荒漠戈壁的两次沙尘暴事件,对比分析了其时空演变、高低空环流配置、近地面气象要素的变化。结果表明:(1)两次极端事件分别爆发于塔克拉玛干沙漠及戈壁荒漠,均受高低层天气系统影响。其中,“3·31”事件受地面冷锋和高空脊控制,脊前西北冷空气与地面冷锋引起的垂直运动配合,将沙尘往下游输送;而“3·14”事件则受蒙古气旋和高空槽影响,气旋后的偏北风和气旋引发的垂直运动将沙尘卷起至高层大气,并通过槽后西北风将其往下游输送;(2)两次极端沙尘事件均有持续时间长的特点,区别在于“3·31”事件主要受高压脊、均压场和周边地形影响,大气层结稳定,沙尘不易沉降和输送,而“3·14”事件则因中国北部持续性高压导致的偏南风和偏东风阻止了沙尘向下游扩散;(3)两次极端沙尘事件爆发前,塔克拉玛干和戈壁荒漠均出现了高温、降水减少及土壤水分枯竭现象,即强风和干燥土壤。为极端沙尘事件的爆发创造了有利的动力条件和物质基础。

宝鸡市及县区近三年沙尘天气污染特征及影响分析

目的通过研究宝鸡市及县区近三年(2021-2023年)沙尘天气污染特征及其影响因素,探讨沙尘期间大气中PM_(10)的质量浓度变化及沙尘对其影响。方法以近三年出现的典型沙尘天气为例,依据宝鸡市区及各县区空气质量自动监测站点实时PM_(10)质量浓度、同期气象要素及雷达监测等实时数据,从空间分布、环流方式和变化规律等方面进行研究,并结合典型案例分析其成因及影响。结果宝鸡受内蒙古、新疆等地西北路沙尘影响最大;在东风加持下因特殊地形构成狭管效应,使沙尘回流、滞留时间加长,导致宝鸡地区多次出现扬沙浮尘天气,近年来呈现先减少后增加的沙尘天气趋势。结论根据宝鸡市地形地貌、气候及沙尘来源特点,提出了有效预防沙尘天气或者降低沙尘影响的科学建议,为改善宝鸡市空气质量提供科学依据。