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1.
文章利用2013—2017年呼和浩特市冬季空气污染数据及同期气象观测数据,分析空气污染特征及各类气象条件下污染日数分布特征,结果表明:近5a来呼和浩特市冬季平均空气质量指数呈下降趋势,空气污染程度有所减缓。空气质量未达标日数呈减少趋势,特别是轻度和中度污染日数下降趋势最显著;首要污染物以PM10为主;冬季风速、气温、相对湿度与空气质量指数显著相关,降水量对空气质量的影响较小;S和SSW风向时污染日数出现概率较高,易出现中到重度空气污染。  相似文献   

2.
天文台选址前期必须考虑气象条件的影响。根据1961—2018青海省柴达木盆地冷湖、茫崖和大柴旦3个气象观测站的月数据进行气象条件特征分析,得到冷湖地区云量、气温、风速、水汽压、相对湿度等天文相关气象要素的年、月际变化特征。结果表明:冷湖地区水汽压年平均不超过3 hPa,相对湿度为32%,多年平均风速<4 m/s,平均气温常年偏低且较为稳定。相对湿度、风速、大风日数、浮尘日数以及扬沙日数呈减少趋势,且大风、浮尘日数的减少速度较快。冷湖地区大气整层可降水量也明显低于其他地区,1991—2015年平均大气整层可降水量为0.29 mm,柴达木盆地冷湖地区云量较少、平均风速小、气候较为干燥,与其他天文观测台址的气象条件相比,柴达木盆地冷湖地区有明显优于其他天文观测台址的气象条件,适宜开展天文观测研究。  相似文献   

3.
北京奥运会期间极端天气的气候统计分析   总被引:2,自引:0,他引:2  
丁德平  王春华  李迅  刘燕  刘一芬  谢庄 《气象》2008,34(7):61-67
利用1971-2007年观象台、海淀、丰台、朝阳和顺义的气象要素资料,对北京奥运期间8月8-24日的极端天气事件进行了统计分析,结果表明:观象台极端最高气温为37.3℃,年Tmax>36.0℃的出现概率为5%,呈明显的上升趋势,上升率为 0.69℃/10年,目前处在偏高期.城郊5站Tmax≥33℃的平均日数为2.8天,变化趋势基本一致,目前处在日数偏多期,每年平均高温闷热(Tmax≥32℃且平均相对湿度≥55%)天气日数为4.7天.观象台日最大降雨量中出现雨量≥25mm*d-1的概率高达68%,城郊5站雨量≥25mm的平均降雨日为1.1天,观象台日最大降雨强度的最大值为156.2mm*d-1.城郊5站平均雷暴日数为3.7天,上述三要素均处在低值期.10分钟平均风速≥7m*s-1以上的大风日数城郊5站为1.2天,目前处在风速较小期.城郊5站平均大雾日数为0.7天,观象台低能见度≤2000m的日数从1990年代平均3.9天降到2000-2007年的1.5天,目前处在日数较少期.  相似文献   

4.
利用1961-2013年广西90个地面观测站资料,分析了近年广西轻雾日数的时空变化特征。结果表明:广西常年轻雾日数为125d,呈东多西少分布特征,四季轻雾日数基本持平;1961—2013年广西雾日变化呈显著的增加趋势,平均每年增加3.1d,且在1985年发生了增加的突变;轻雾最多的时间出现在21世纪初。轻雾气候变化发生的原因与广西气温升高、相对湿度和风速减小有密切关系,城镇化发展和人类活动导致排放污染物增加也是可能原因之一。  相似文献   

5.
文章利用图里河测站1961-2006年的气温、降水量、大风日数、无霜期、日照时数、相对湿度等地面观测资料,分析了图里河近46年的气候变化趋势。结果显示:46年来,图里河年平均气温呈波动上升趋势,平均上升0.39%/10a,且上升幅度为春季〉冬季〉夏季〉秋季;年降水量变化趋势不明显,80年代最多,2001--2006年平均降水量最少:相对湿度和大风日数呈波动下降趋势;无霜期日数呈增加趋势;日照时数没有明显的升降趋势;年蒸发量总的趋势是微量上升,尤其是1990年以后。  相似文献   

6.
基于上海崇明气象站气温、降水、日照、风速等数据和主要天气现象记录资料,利用气候统计诊断方法研究了崇明生态岛主要气候要素和天气现象的变化特征及其生态影响。结果表明,1961—2016年期间,崇明气温显著上升,高温日数和极端最高气温增加;降水量显著增多,暴雨日数增加,小雨、中雨和大雨对全年总降水量的贡献下降,而暴雨和大暴雨的贡献增加;风速显著减小,大风日数和极端最大风速减少;日照时数和相对湿度明显减少,雾日数增加。在气候变化影响下,崇明作物无霜期初日提前,终日推后,无霜期日数增加,有效积温增多,人体舒适度日数增加。但气候变化会导致当地风能资源减少,大气环境条件不利于污染物的扩散和稀释。研究结果可为绿色、平安崇明建设和世界级生态岛的可持续发展布局提供借鉴。  相似文献   

7.
利用南极长城站1985—2014年所获取的地面常规气象观测资料,对其气温、风和降水变化特征进行分析,结果表明:长城站年平均气温为-2.2℃,气候变化趋势率为0.079℃/10a,近30a长城站气温升高了0.24℃,秋季气温增速最大。年平均风速为7.3m/s,最多风向为ESE;大风天气多,年平均大风日数为133d,冬季大风日数(13d)较其它季节多,春季平均风速(7.9m/s)较其它季节大,大风主要风向集中出现在N—W、S—E两个方向区间。降水主要以雪和雨夹雪为主;月平均降水量45.5mm,降水日数为25d,降水日数无显著的季节性变化;夏季降水量呈减少趋势,其它三季降水量呈增多趋势;年降水量为546.5mm,年降水日数为296d,降水量变化趋势与以往结论相左,近30a长城站的降水量呈增多趋势,气候变化趋势率为41.8mm/10a。  相似文献   

8.
采用15个常规气象站1961-2010年逐日降水数据资料,分析了北京地区降水量、降水日数和降水强度的变化趋势,包括年和各季节的总降水量和降水日数,不同降水级别降水量、降水日数和降水强度变化趋势的时空特征。结果表明:在近50年内,北京地区平均年降水量和年降水日数、年降水强度均呈下降趋势;各季节中,夏季的降水量呈明显下降趋势,春季降水日数略有增加,夏季略有减少;降水强度在春季增大和夏季减小趋势明显;小雨雨量变化不明显,中雨雨量呈增加趋势,大雨和暴雨雨量呈明显降低趋势;小雨降雨日数略呈减小趋势,中雨降水日数呈显著增加趋势,大雨和暴雨降水日数呈较明显降低趋势;小雨降水强度略呈上升趋势,而大雨和暴雨的降水强度呈明显的降低趋势。  相似文献   

9.
北京地区大气能见度变化规律及影响因子统计分析   总被引:60,自引:10,他引:60       下载免费PDF全文
1990~ 2 0 0 0年北京地区大气能见度的统计分析表明 ,大气能见度有明显的年际变化、季节变化和日变化特征。冬、春、秋三季及全年日平均年际变化表现为 2 0世纪 90年代中期能见度较好 ,前期和末期能见度较差 ,2 0 0 0年能见度迅速好转 ;夏季能见度年际变化在 1997年以前与其他季节相反 ,1995年能见度最差。大气能见度与同期地面气象条件和主要污染物浓度的相关性比较表明 ,春、夏、秋三季以空气湿度、PM10 和风速为主要影响因子 ,冬季以PM10 、SO2 、空气湿度和风速为主要影响因子。能见度与相对湿度和空气污染物浓度呈反相关 ,与风速的相关性较为复杂 (有时呈正相关 ,有时呈反相关 ) ;高湿度 (相对湿度 f≥ 80 % )、小风速 (地面风速u≤ 2m·s-1)和雾是造成低能见度的主要气象条件 ;污染物浓度对能见度的影响以冬季最为明显 ,秋季次之 ,夏季最差  相似文献   

10.
丁国香  刘安平  杨彬  姚叶青 《气象科技》2018,46(6):1287-1290
利用2004—2016年黄山气象站逐日、逐时地面气象观测资料分析了雾凇的时间分布特征及气象条件。结果表明:(1)黄山年平均雾凇日61.6d,年份之间差异明显;雾凇初日主要在11月,终日主要在3—4月;连续雾凇日数多在3~4d,占40%,各年均出现了连续雾凇日数≥10d的情况。(2)雾凇出现在10月至次年4月,其中12月至次年3月雾凇日数占89.8%;月平均雾凇日数与月平均气温呈显著负相关。雾凇还存在一定的日变化,08:00—09:00最多,18:00最少。(3)逐日资料统计表明,适宜雾凇出现的气象条件是雾日且日平均气温在-8~2℃之间、平均相对湿度≥80%、平均风速2~9m/s。(4)逐时资料统计表明,雾凇的形成主要受气温影响,雾凇形成前需7h以上的累计低温(≤0℃),适宜雾凇形成的气象条件是有雾且气温在-6~1℃之间,湿度≥95%,风速2~11m/s,较好地反映了雾凇形成的临界气象条件。  相似文献   

11.
Using the International Comprehensive Ocean-Atmosphere Data Set(ICOADS) and ERA-Interim data, spatial distributions of air-sea temperature difference(ASTD) in the South China Sea(SCS) for the past 35 years are compared,and variations of spatial and temporal distributions of ASTD in this region are addressed using empirical orthogonal function decomposition and wavelet analysis methods. The results indicate that both ICOADS and ERA-Interim data can reflect actual distribution characteristics of ASTD in the SCS, but values of ASTD from the ERA-Interim data are smaller than those of the ICOADS data in the same region. In addition, the ASTD characteristics from the ERA-Interim data are not obvious inshore. A seesaw-type, north-south distribution of ASTD is dominant in the SCS; i.e., a positive peak in the south is associated with a negative peak in the north in November, and a negative peak in the south is accompanied by a positive peak in the north during April and May. Interannual ASTD variations in summer or autumn are decreasing. There is a seesaw-type distribution of ASTD between Beibu Bay and most of the SCS in summer, and the center of large values is in the Nansha Islands area in autumn. The ASTD in the SCS has a strong quasi-3a oscillation period in all seasons, and a quasi-11 a period in winter and spring. The ASTD is positively correlated with the Nio3.4 index in summer and autumn but negatively correlated in spring and winter.  相似文献   

12.
The spatial and temporal variations of daily maximum temperature(Tmax), daily minimum temperature(Tmin), daily maximum precipitation(Pmax) and daily maximum wind speed(WSmax) were examined in China using Mann-Kendall test and linear regression method. The results indicated that for China as a whole, Tmax, Tmin and Pmax had significant increasing trends at rates of 0.15℃ per decade, 0.45℃ per decade and 0.58 mm per decade,respectively, while WSmax had decreased significantly at 1.18 m·s~(-1) per decade during 1959—2014. In all regions of China, Tmin increased and WSmax decreased significantly. Spatially, Tmax increased significantly at most of the stations in South China(SC), northwestern North China(NC), northeastern Northeast China(NEC), eastern Northwest China(NWC) and eastern Southwest China(SWC), and the increasing trends were significant in NC, SC, NWC and SWC on the regional average. Tmin increased significantly at most of the stations in China, with notable increase in NEC, northern and southeastern NC and northwestern and eastern NWC. Pmax showed no significant trend at most of the stations in China, and on the regional average it decreased significantly in NC but increased in SC, NWC and the mid-lower Yangtze River valley(YR). WSmax decreased significantly at the vast majority of stations in China, with remarkable decrease in northern NC, northern and central YR, central and southern SC and in parts of central NEC and western NWC. With global climate change and rapidly economic development, China has become more vulnerable to climatic extremes and meteorological disasters, so more strategies of mitigation and/or adaptation of climatic extremes,such as environmentally-friendly and low-cost energy production systems and the enhancement of engineering defense measures are necessary for government and social publics.  相似文献   

13.
Various features of the atmospheric environment affect the number of migratory insects, besides their initial population. However, little is known about the impact of atmospheric low-frequency oscillation(10 to 90 days) on insect migration. A case study was conducted to ascertain the influence of low-frequency atmospheric oscillation on the immigration of brown planthopper, Nilaparvata lugens(Stl), in Hunan and Jiangxi provinces. The results showed the following:(1) The number of immigrating N. lugens from April to June of 2007 through 2016 mainly exhibited a periodic oscillation of 10 to 20 days.(2) The 10-20 d low-frequency number of immigrating N. lugens was significantly correlated with a low-frequency wind field and a geopotential height field at 850 h Pa.(3) During the peak phase of immigration, southwest or south winds served as a driving force and carried N. lugens populations northward, and when in the back of the trough and the front of the ridge, the downward airflow created a favorable condition for N. lugens to land in the study area. In conclusion, the northward migration of N. lugens was influenced by a low-frequency atmospheric circulation based on the analysis of dynamics. This study was the first research connecting atmospheric low-frequency oscillation to insect migration.  相似文献   

14.
The atmospheric and oceanic conditions before the onset of EP El Ni?o and CP El Ni?o in nearly 30 years are compared and analyzed by using 850 hPa wind, 20℃ isotherm depth, sea surface temperature and the Wheeler and Hendon index. The results are as follows: In the western equatorial Pacific, the occurrence of the anomalously strong westerly winds of the EP El Ni?o is earlier than that of the CP El Ni?o. Its intensity is far stronger than that of the CP El Ni?o. Two months before the El Ni?o, the anomaly westerly winds of the EP El Ni?o have extended to the eastern Pacific region, while the westerly wind anomaly of the CP El Ni?o can only extend to the west of the dateline three months before the El Ni?o and later stay there. Unlike the EP El Ni?o, the CP El Ni?o is always associated with easterly wind anomaly in the eastern equatorial Pacific before its onset. The thermocline depth anomaly of the EP El Ni?o can significantly move eastward and deepen. In addition, we also find that the evolution of thermocline is ahead of the development of the sea surface temperature for the EP El Ni?o. The strong MJO activity of the EP El Ni?o in the western and central Pacific is earlier than that of the CP El Ni?o. Measured by the standard deviation of the zonal wind square, the intensity of MJO activity of the EP El Ni?o is significantly greater than that of the CP El Ni?o before the onset of El Ni?o.  相似文献   

15.
Storms that occur at the Bay of Bengal (BoB) are of a bimodal pattern, which is different from that of the other sea areas. By using the NCEP, SST and JTWC data, the causes of the bimodal pattern storm activity of the BoB are diagnosed and analyzed in this paper. The result shows that the seasonal variation of general atmosphere circulation in East Asia has a regulating and controlling impact on the BoB storm activity, and the “bimodal period” of the storm activity corresponds exactly to the seasonal conversion period of atmospheric circulation. The minor wind speed of shear spring and autumn contributed to the storm, which was a crucial factor for the generation and occurrence of the “bimodal pattern” storm activity in the BoB. The analysis on sea surface temperature (SST) shows that the SSTs of all the year around in the BoB area meet the conditions required for the generation of tropical cyclones (TCs). However, the SSTs in the central area of the bay are higher than that of the surrounding areas in spring and autumn, which facilitates the occurrence of a “two-peak” storm activity pattern. The genesis potential index (GPI) quantifies and reflects the environmental conditions for the generation of the BoB storms. For GPI, the intense low-level vortex disturbance in the troposphere and high-humidity atmosphere are the sufficient conditions for storms, while large maximum wind velocity of the ground vortex radius and small vertical wind shear are the necessary conditions of storms.  相似文献   

16.
Observed daily precipitation data from the National Meteorological Observatory in Hainan province and daily data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis-2 dataset from 1981 to 2014 are used to analyze the relationship between Hainan extreme heavy rainfall processes in autumn (referred to as EHRPs) and 10–30 d low-frequency circulation. Based on the key low-frequency signals and the NCEP Climate Forecast System Version 2 (CFSv2) model forecasting products, a dynamical-statistical method is established for the extended-range forecast of EHRPs. The results suggest that EHRPs have a close relationship with the 10–30 d low-frequency oscillation of 850 hPa zonal wind over Hainan Island and to its north, and that they basically occur during the trough phase of the low-frequency oscillation of zonal wind. The latitudinal propagation of the low-frequency wave train in the middle-high latitudes and the meridional propagation of the low-frequency wave train along the coast of East Asia contribute to the ‘north high (cold), south low (warm)’ pattern near Hainan Island, which results in the zonal wind over Hainan Island and to its north reaching its trough, consequently leading to EHRPs. Considering the link between low-frequency circulation and EHRPs, a low-frequency wave train index (LWTI) is defined and adopted to forecast EHRPs by using NCEP CFSv2 forecasting products. EHRPs are predicted to occur during peak phases of LWTI with value larger than 1 for three or more consecutive forecast days. Hindcast experiments for EHRPs in 2015–2016 indicate that EHRPs can be predicted 8–24 d in advance, with an average period of validity of 16.7 d.  相似文献   

17.
Based on the measurements obtained at 64 national meteorological stations in the Beijing–Tianjin–Hebei (BTH) region between 1970 and 2013, the potential evapotranspiration (ET0) in this region was estimated using the Penman–Monteith equation and its sensitivity to maximum temperature (Tmax), minimum temperature (Tmin), wind speed (Vw), net radiation (Rn) and water vapor pressure (Pwv) was analyzed, respectively. The results are shown as follows. (1) The climatic elements in the BTH region underwent significant changes in the study period. Vw and Rn decreased significantly, whereas Tmin, Tmax and Pwv increased considerably. (2) In the BTH region, ET0 also exhibited a significant decreasing trend, and the sensitivity of ET0 to the climatic elements exhibited seasonal characteristics. Of all the climatic elements, ET0 was most sensitive to Pwv in the fall and winter and Rn in the spring and summer. On the annual scale, ET0 was most sensitive to Pwv, followed by Rn, Vw, Tmax and Tmin. In addition, the sensitivity coefficient of ET0 with respect to Pwv had a negative value for all the areas, indicating that increases in Pwv can prevent ET0 from increasing. (3) The sensitivity of ET0 to Tmin and Tmax was significantly lower than its sensitivity to other climatic elements. However, increases in temperature can lead to changes in Pwv and Rn. The temperature should be considered the key intrinsic climatic element that has caused the "evaporation paradox" phenomenon in the BTH region.  相似文献   

18.
正The Taal Volcano in Luzon is one of the most active and dangerous volcanoes of the Philippines. A recent eruption occurred on 12 January 2020(Fig. 1a), and this volcano is still active with the occurrence of volcanic earthquakes. The eruption has become a deep concern worldwide, not only for its damage on local society, but also for potential hazardous consequences on the Earth's climate and environment.  相似文献   

19.
The moving-window correlation analysis was applied to investigate the relationship between autumn Indian Ocean Dipole (IOD) events and the synchronous autumn precipitation in Huaxi region, based on the daily precipitation, sea surface temperature (SST) and atmospheric circulation data from 1960 to 2012. The correlation curves of IOD and the early modulation of Huaxi region’s autumn precipitation indicated a mutational site appeared in the 1970s. During 1960 to 1979, when the IOD was in positive phase in autumn, the circulations changed from a “W” shape to an ”M” shape at 500 hPa in Asia middle-high latitude region. Cold flux got into the Sichuan province with Northwest flow, the positive anomaly of the water vapor flux transported from Western Pacific to Huaxi region strengthened, caused precipitation increase in east Huaxi region. During 1980 to 1999, when the IOD in autumn was positive phase, the atmospheric circulation presented a “W” shape at 500 hPa, the positive anomaly of the water vapor flux transported from Bay of Bengal to Huaxi region strengthened, caused precipitation ascend in west Huaxi region. In summary, the Indian Ocean changed from cold phase to warm phase since the 1970s, caused the instability of the inter-annual relationship between the IOD and the autumn rainfall in Huaxi region.  相似文献   

20.
正While China’s Air Pollution Prevention and Control Action Plan on particulate matter since 2013 has reduced sulfate significantly, aerosol ammonium nitrate remains high in East China. As the high nitrate abundances are strongly linked with ammonia, reducing ammonia emissions is becoming increasingly important to improve the air quality of China. Although satellite data provide evidence of substantial increases in atmospheric ammonia concentrations over major agricultural regions, long-term surface observation of ammonia concentrations are sparse. In addition, there is still no consensus on  相似文献   

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