中国沙尘暴天气的新特征及成因分析

2000～2002年,中国北方地区频频发生沙尘暴天气,给当地和广大下游地区工农业生产、交通运输、空气质量和人民的日常生活都带来了极大危害。沙尘暴天气呈现频次高、发生时间提前、发生期时间长、强度大、影响范围广等新特征。对气候变化和地理环境背景的分析研究表明,近年来中国北方沙尘暴频繁爆发的原因主要是:1)近两年处于反厄尔尼诺(拉尼娜)事件的高峰期,使东亚冬季风频繁,导致大风天气频繁发生;2)在沙尘暴发生季节,中国北方降水明显减少,气温回升迅速且温度偏高于往年,使解冻的地表土层疏松,为沙尘暴的发生提供了丰富的沙源;3)近年来中国北方干旱加剧、土地荒漠化严重,使原本广阔的戈壁沙漠面积更加扩大,有利于沙尘暴天气的发生,这与不合理的土地利用状况有关。     

利用遥感综合分析西风引导气流与地形对沙尘运移路径的影响

沙尘暴的发生受大气环流、地表状况、降雨的影响，还受到局部地区地形的影响。一次规模较大的沙尘暴过程，沙尘可以从蒙古国和我国西部沙源地输送到我国东部、韩国、日本乃至夏威夷、美国西海岸。中日亚洲沙尘暴ADEC项目对亚洲沙尘暴的起沙、传输和降落的运行机制已经作了深入的研究，并建立了亚洲沙尘暴的数值模拟系统。本文以影响北京地区的沙尘暴事件为例，利用遥感技术，综合DEM地形数据和地面实测数据分析西风引导气流和地形对沙尘运移路径影响，将MODIs影像数据和DEM地形数据以及地面观测站点实测数据相结合，进行综合分析，结果表明在一次沙尘暴过程中，沙尘在运移过程中的运移路径明显地受到西风引导气流、沙尘粒子自然沉降规律以及局部地形的影响，要预防(减少)北京地区的沙尘暴仅仅作好北京地区的生态环境建设是不够的，加强北京周边地区，尤其是张家口地区、官厅水库库区及库区周围地区的生态环境建设尤为重要。     

大气中一氧化碳浓度变化的模拟研究

应用全球二维大气化学模式,模拟了CO、CH4和OH自由基等成分自工业革命到2020年的长期变化.模拟的全球CO平均体积分数在1840年、1991年和2020年分别为27×10-6、76×10-6和105×10-6.从1840到1991年,OH自由基数浓度从7.17×105个分子/cm3下降到5.79×105个分子/cm3,降低了19%.模拟的CH4长期变化与冰芯资料相符.模拟的20世纪80年代CO体积分数年增长率为1.03%～1.06%.大气中CO在20世纪90年代前是增长的,而到90年代初观测到CO体积分数突然下降.应用二维大气化学模式对此原因进行了模拟研究,结果表明,CO排放源的减少是CO体积分数下降的主要因子,平流层臭氧减少是另一个重要因子.尽管CO排放源的减少对大气CH4增长率的变化有较大影响,而CH4排放源减少对CO体积分数变化却几乎没有影响.     

珠穆朗玛峰地区大气气溶胶元素成分的监测及分析

对珠穆朗玛峰地区大气气溶胶化学民分进行了观测和分析。初步分析结果表明，珠峰地区大气气溶胶以Al,Ca,Si,K,Fe等地壳元素为主，地壳元素占总元素浓度的82％以上。S,Pb等与人类活动影响有关的污染元素含量很低。元素S浓度为91．64ng.m^-3，元素Pb浓度仅为2．93ng.m^-3，接近于格陵兰地区的浓度，从气富集因子来看，来自地壳成分元素的富集因子要小于北京地区。而As,Pb等与人类活动有关的气溶胶元素的富集因子也比北京地区低得多。研究表明，人类活动对珠峰地区的影响很小。     

NUMERICAL SIMULATION OF ATMOSPHERIC METHANE TRENDS OVER THE LAST 150 YEARS

A global two-dimensional chemistry model is developed to study long-term trends of CH_4 sinceindustrial revolution.The sources of CH_4,CO and NO_x are parameterized as functions of latitudeand time.With two long-term emission scenarios,long-term trends of CH_4 are simulated.The resultshave a good agreement with observation from ice cores.The modeled CH_4 increased from 760 ppbvin 1840 to 1611.9 ppbv in 1991, while the modeled number concentration of tropospheric OHdecreased from 7.17×10~5 cm~(-3)in 1840 to 5.79×10~5 cm~(-3) in 1991.The increase of atmosphericCH_4 can be explained by the increase of emission of CH_4 and build-up because of decrease of OHradicals that remove CH_4 from the atmosphere.The model is also used to simulate the distribution of CH_4.Comparisons between the modelresults and observations show that the model can simulate both latitudinal distribution and seasonalvariation of CH_4 well.     

Evolution of aerosol vertical distribution during particulate pollution events in Shanghai

A set of micro pulse lidar(MPL)systems operating at 532 nm was used for ground-based observation of aerosols in Shanghai in 2011.Three typical particulate pollution events(e.g.,haze)were examined to determine the evolution of aerosol vertical distribution and the planetary boundary layer(PBL)during these pollution episodes.The aerosol vertical extinction coefficient(VEC)at any given measured altitude was prominently larger during haze periods than that before or after the associated event.Aerosols originating from various source regions exerted forcing to some extent on aerosol loading and vertical layering,leading to different aerosol vertical distribution structures.Aerosol VECs were always maximized near the surface owing to the potential influence of local pollutant emissions.Several peaks in aerosol VECs were found at altitudes above 1 km during the dust-and bioburning-influenced haze events.Aerosol VECs decreased with increasing altitude during the local-polluted haze event,with a single maximum in the surface atmosphere.PM2.5 increased slowly while PBL and visibility decreased gradually in the early stages of haze events;subsequently,PM2.5 accumulated and was exacerbated until serious pollution bursts occurred in the middle and later stages.The results reveal that aerosols from different sources impact aerosol vertical distributions in the atmosphere and that the relationship between PBL and pollutant loadings may play an important role in the formation of pollution.     

甘肃白银厂矿区及其外围铜矿床成矿特征与定量预测

北祁连地区是我国重要的海相火山成因铜多金属块状硫化物矿床成矿带,位于该区东段的白银矿田内产出有多个大型-特大型VMS矿床,具有较好的找矿前景.在该地区铜矿床成矿特征研究的基础上,利用GIS技术提取与成矿有关的地层、构造、岩浆岩、地球化学等多元找矿信息,构建了白银矿区及外围铜矿床的证据权重找矿模型,利用后验概率圈定出找矿远景区,按照各找矿远景区相对成矿可能性的大小和各找矿标志将远景区分为Ⅰ、Ⅱ、Ⅲ3级,各级找矿远景区各3个.     

北方地区日光温室气候适宜性区划方法

通过对我国北方地区影响日光温室生产的主要气候因素进行分析,从光、温、风、雪4个方面选取了冬季总辐射、日光温室生产季阴天日数、年极端最低气温、冬季平均气温、生产季月最大风速平均值、年最大积雪深度平均值6个因子作为气候适宜性区划指标,采用加权指数求和的评价方法建立综合气候适宜性区划指标模型,在利用层次分析法对区划指标进行量化分析确定其权重的基础上,借助GIS技术,得到北方地区日光温室发展的气候适宜性区划图。为了细化区划结果,将研究区域气候特征明显不同的典型区域分别进行进一步区划。结果表明:该方法不仅理论性较强,与实际相吻合的区划结果也说明该方法还具有良好的实用性。     

确定风廓线雷达功率谱噪声功率方法

风廓线雷达以测风为主要目的设计,没有充分考虑强度的定量测量。如果能够实现强度定量测量将大大扩展风廓线雷达的应用范围。首要的扩展应用就是可以获取雨滴谱分布、解决降水定量测量准确性问题。若实现强度定量测量,需要解决的一个关键技术问题是如何由其功率谱数据准确计算噪声功率。该文根据风廓线雷达功率谱估计方法、依据噪声频域统计特性,提出了一种计算风廓线雷达功率谱噪声功率的方法,并利用风廓线雷达实测功率谱数据进行检验。检验结果表明:即便在有降水或存在地物时,该方法仍可以准确、快速分辨出噪声功率谱, 且客观有效。     

Reconstructed light extinction coefficients using chemical compositions of PM<Subscript>2.5</Subscript> in winter in Urban Guangzhou,China

The objective of this study was to reconstruct light extinction coefficients (b ext ) according to chemical composition components of particulate matter up to 2.5 μm in size (PM 2.5 ). PM 2.5 samples were collected at the monitoring station of the South China of Institute of Environmental Science (SCIES, Guangzhou, China) during January 2010, and the online absorbing and scattering coefficients were obtained using an aethalometer and a nephelometer. The measured values of light absorption coefficient by particle (b ap ) and light scattering coefficient by particle (b sp ) significantly correlated (R 2 > 0.95) with values of b ap and b sp that were reconstructed using the Interagency Monitoring of Protected Visual Environments (IMPROVE) formula when RH was <70%. The measured b ext had a good correlation (R 2 > 0.83) with the calculated b ext under ambient RH conditions. The result of source apportionment of b ext showed that ammonium sulfate [(NH 4 ) 2 SO 4 ] was the largest contributor (35.0%) to b ext , followed by ammonium nitrate (NH 4 NO 3 , 22.9%), organic matter (16.1%), elemental carbon (11.8%), sea salt (4.7%), and nitrogen dioxide (NO 2 , 9.6%). To improve visibility in Guangzhou, the effective control of secondary particles like sulfates, nitrates, and ammonia should be given more attention in urban environmental management.