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21.
对帕里西-维拉海盆PV090102孔深海沉积物中碎屑组分进行了粒度分析。结果表明,沉积物碎屑组分的平均粒径为3.2μm,粒径总体变化范围在0.5~32μm,粒度频率分布呈双峰负偏态特征。利用Weibull分布函数对粒度数据进行拟合,分离出粗、细两个不同的端元组分。细粒端元的粒径分布范围较窄,大多在0.5~16μm,峰值较高,众数粒径约为2μm,其特征与北太平中部风尘一致,推测主要为来源于亚洲大陆的风尘,它的百分含量在60%~90%,是碎屑组分的主要物质来源。粗粒端元的粒径分布范围较宽,约为1.6~32μm,峰较扁平,粒径的众数在10μm左右,主要是来自于周围海脊和岛弧的火山物质。PV090102孔沉积物碎屑组分中不同粒度组分对近2 Ma以来亚洲大陆干旱和大气环流系统增强有很好的响应,同时还记录了0.5 Ma以来西太平洋火山活动增强。这些研究结果表明西北太平洋沉积物的粒度组成有助于重建第四纪以来东亚大陆干旱和大气环流历史。  相似文献   
22.
利用MODIS数据,结合具体实例,对比研究当前几种利用光谱特征定量判识沙尘暴的方法。从理论上剖析各方法的原理,分析其优劣,并提出一套新的算法的组合方式。研究结果表明,新的组合算法有不小的改进:①大大降低了单一算法在不同时间或地区图像中阈值取值不稳定的影响,减少了图像噪声造成的误判,增强了其通用性和稳定性;②明显减弱了太阳光、地表温度等条件的影响,准确排除沙漠对于判识的干扰;③简单实用,适合业务应用。  相似文献   
23.
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.  相似文献   
24.
Enhanced observational meteorological elements,energy fluxes,and the concentration of dust aerosols collected from the Semi-Arid Climate Observatory and Laboratory(SACOL) during a typical dust storm period in March 2010 at Lanzhou were used in this paper to investigate the impact of dust aerosols on near surface atmospheric variables and energy budgets.The results show that the entire dust storm event was associated with high wind velocities and decreasing air pressure,and the air changed from cold and wet to warm and dry and then recovered to its initial state.The response of energy fluxes occurred behind meteorological elements.At high dust concentration periods,the net radiation was significantly less in the daytime and higher at night,while the heat fluxes displayed the same trend,indicating the weakening of the land-atmosphere energy exchange.The results can be used to provide verification for numerical model results in semi-arid areas.  相似文献   
25.
利用MODIS数据,结合具体实例,对比研究当前几种利用光谱特征定量判识沙尘暴的方法。从理论上剖析各方法的原理,分析其优劣,并提出一套新的算法的组合方式。研究结果表明,新的组合算法有不小的改进:①大大降低了单一算法在不同时间或地区图像中阈值取值不稳定的影响,减少了图像噪声造成的误判,增强了其通用性和稳定性;②明显减弱了太...  相似文献   
26.
Snow chemistry on the glaciers of alpine regions is a good indicator of atmospheric environmental change.We examine snow chemistry in three snowpits at different altitudes on the Haxilegen Glacier No.51,in the Kuitun River source,Tian Shan,China,during July-September 2004 to 2007.We use correlation analysis,factor analysis and sea-salt tracing methods to examine the characteristics and sources of major ions and mineral dust particles in the snow.Results show that mineral dust particles and major ions in the snow pits vary seasonally.During the Asian dust period in springtime,the concentration of mineral dust particles and major ions deposited in snow is high,while the concentration is relatively low during the non-dust period of summer and autumn.This may be caused by dust storm activity in central Asia.The order of major ionic concentrations in the snow packs was determined to be Ca2+ > SO42-> NH4+ > NO3-> Cl-> Na+ > Mg2+ > K+.Ca2+ was the dominant cation;SO42- was the dominant anion.We find,with the exception of NO3-,that the variabilities of ionic concentrations are highly correlated.Results show that the glacier region was significantly affected by dust activity and anthropogenic source.The major ions,especially Na+,originate from dust sources of central Asia and from the Ocean,transported by the westerly winds.  相似文献   
27.
Although Lanzhou is one of the most heavily polluted cities in China, the composition of its air pollutants have not yet been studied in detail. The data of four months on the concentrations and compositions of ions from daily air-filter samples in the winter and spring during 2007–2008 were analyzed to investigate temporal trends and their possible causes. The results indicate that mean concentrations of almost all the aerosol components are greater in winter than in spring due to stronger emissions in winter and weaker localized dispersion. Spring dust storms are the major cause of the highest peak PM10 concentrations recorded during the study period; however, these elevated levels were transient. Ion concentrations related to coal combustion show the greatest reduction from winter to spring, while the concentrations of strong crustal components show a less-pronounced reduction. Strong cycles in the levels of particulate matter (PM) and all ions are also observed during the winter months due to meteorological conditions. Depending on the season, nine different ions accounted for 20%–50% of the PM concentration. The particle size of polluting ions was constant at times of increasing PM concentrations (particularly during winter), whereas the particle size of crustal ions increased dramatically during spring dust storms. Local meteorological conditions (especially wind speed) have a strong influence on the levels of pollutants. Four dust storms were noted, including one during winter. In summary, the regional transport of desert dust from the Gobi can significantly affect air quality and the chemical composition of aerosols in Lanzhou. The dust storms can strongly increase concentration of crustal ions, which are characteristics of deserts in northwestern China. This observation is in agreement with back-trajectories, which show reduced levels of pollutant ions during dust storms. Data on nitrate:sulfate ratios indicate that stationary point sources are the main source of ions rather than mobile sources.  相似文献   
28.
Based on the sand dust storms data and climatic data in 12 meteorological stations around sand dust storm originating areas of the Taklimakan Desert, we analyzed the trends of the number of dust storm days from 1960 to 2005 as well as their correlations with temperature, precipitation, wind speed and the number of days with mean wind speed 〉 5 m/s. The results show that the frequency of dust storm events in the Taklimakan region decreased with the elapse of time. Except Ruoqiang and Minfeng, in the other 10 meteorological stations, the frequency of dust storm events reduces, and in 4 meteorological stations of Kuqa, Korla, Kalpin and Hotan, the frequency of dust storm events distinctly decreases. The temperature has an increasing trend, while the average wind speed and the number of days with mean wind speed ≥ 5 m/s have decreasing trends. The correlation analysis between the number of days of dust storms and climatic parameters demonstrates that wind speed and the number of days with mean wind speed 〉 5 m/s have strong positive correlation with the number of days of dust storms, with the correlations coefficients being 0.743 and 0.720 (p〈0.01), respectively, which indicates that strong wind is the direct factor resulting in sand dust storms. Whereas precipitation has significant negative correlation with the number of days of dust storms (p〈0.01), and the prior annual precipitation has also negative correlation, which indicates that the prior precipitation restrains the occurrence of sand dust storms, but this restraining action is weaker than the same year's precipitation. Temperature has negative correlation with the number of dust storm days, with a correlations coefficient of -0.433 (p〈0.01), which means that temperature change also has impacts on the occurrence of dust storm events in the Taklimakan region.  相似文献   
29.
沙尘事件对兰州河谷大气环境PM10的影响   总被引:1,自引:0,他引:1  
贾晓鹏  陈开锋 《中国沙漠》2011,31(6):1573-1578
利用1999—2001年兰州河谷大气中空气污染物的监测数据,结合河西地区沙尘事件频次,分析了兰州河谷大气环境PM10含量的季节变化特征及其成因。结果表明,源于河西地区的沙尘暴对兰州市空气中PM10含量有重要影响,PM10浓度在冬春季较高,在夏季较低。1985—2001年16 a来河西走廊中东部沙尘事件年均约为37.6 d,兰州河谷年均沙尘事件约为24.4 d,两者表现出显著的相关性(R=0.67,P=0.003)。2001年兰州河谷1 h平均沙尘PM10浓度统计分析显示:PM10含量大于1.0 mg·m-3 的峰值,主要由河西地区沙尘暴过程引起,而PM10含量0.5~1.0 mg·m-3之间的峰值,主要由工业污染物SO2、NOx及颗粒物的排放引起。要长期有效地改善兰州市大气环境质量,不仅要科学地制定本地污染物的减排措施,还要考虑周围地区生态环境的建设。  相似文献   
30.
利用Thermo RP 1400a对塔克拉玛干沙漠腹地塔中及周边的哈密与和田进行了长达6 a多的沙尘气溶胶PM10连续观测,结合气象资料,分析了该区域沙尘气溶胶PM10的基本特征及影响因素。其结果是:①在哈密、塔中与和田,浮尘、扬沙日数呈上升趋势,沙尘暴日数变化不明显,沙尘天气出现的频率和强度是影响沙漠地区沙尘气溶胶PM10浓度的主要因素。②PM10质量浓度具有明显的区域分布特征,塔克拉玛干沙漠东缘的哈密最低,其次为沙漠南缘的和田,最高的为沙漠腹地的塔中。③每年3—9月是哈密PM10质量浓度的高值时段;塔中与和田PM10质量浓度高值时段分布在3—8月,平均浓度分别在500~1 000 μg·m-3之间变化。④哈密、塔中与和田PM10季节平均浓度变化特征,春季>夏季>秋季>冬季;PM10平均浓度最高的塔中,春季在1 000 μg·m-3左右变化,夏季在400~900 μg·m-3之间,秋冬两季浓度较低基本上在200~400 μg·m-3之间变化。⑤哈密、塔中与和田沙尘暴季节PM10浓度远高于非沙尘暴季节,沙尘暴季节浓度基本上为非沙尘暴季节浓度的两倍以上;塔中2004年和2008年沙尘暴季节平均浓度分别是非沙尘暴季节的6.2倍和3.6倍。⑥沙尘天气过程中PM10质量浓度变化具有以下规律,晴天<浮尘天气<浮尘、扬沙天气<沙尘暴天气。⑦风速大小直接影响大气中PM10浓度,风速越大浓度越高。气温、相对湿度和气压是影响沙尘暴强度的重要因素,也间接影响大气中PM10浓度的变化。  相似文献   
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