青岛市区春夏季大气能见度与颗粒物的关系

利用青岛市灰霾综合观测站2012年3月2日-2012年6月7日期间的监测数据,分析了青岛市区大气能见度与不同粒径颗粒物质量浓度的日变化特征,比较了各级别大气能见度下不同粒径颗粒物质量浓度及所占比例的相关性,研究了相对湿度对大气能见度和颗粒物质量浓度相关性的影响.结果表明,监测时段大气能见度与颗粒物质量浓度呈现较好的负相关,每天大气能见度最低值出现在早晨07:00--09:00;剔除相对湿度高于90％的前提下,PM2.5是影响大气能见度的主要因子,随着其在PM1o中所占比例上升,大气能见度级别不断下降,相关系数为-0.84;不同相对湿度区间下,PM2.5对大气能见度的影响最明显,其中,相对湿度为60％ ～ 70％,大气能见度与颗粒物质量浓度之间的相关性最好.     

青藏高原东北部近十年臭氧总量变化研究

利用青藏高原东北部青海瓦里关站1997年3月—2009年11月十多年的臭氧总量地基观测资料,对臭氧总量的年际变化、季节变化、频数分布、低值频率等特征进行分析。结果表明,近十多年来青藏高原东北部大气臭氧总量略有下降,臭氧损耗减缓;各年的频数分布呈左偏态分布,且夏秋季节（6—10月）的臭氧低值频率与同期臭氧总量平均值呈现极好的负相关,这可能是引起其年均值较低的原因之一;该地区臭氧总量具有明显的季节变化,夏秋季的臭氧低值频率远远高于冬春季,冬春季节臭氧总量平均约为300 DU,夏秋季节平均约为270 DU,最大值出现在3月份,最小值出现在9月份。臭氧总量的连续观测与分析对青藏高原的生态环境与气候能够起到预警作用。     

珠三角秋冬季节长时间灰霾污染特性与成因

利用珠三角大气超级站2012年10月与2013年1月能见度、不同粒径颗粒物与BC质量浓度、气溶胶光散射系数、O3、相对湿度等在线监测数据,分析秋冬季节2次持续时间超过10 d的长时间灰霾过程污染特性与成因。结果表明,冬季灰霾过程中气溶胶吸光系数和光散射系数对大气总消光系数的贡献分别为13%和67%;PM2.5、PM1占PM10质量浓度分别为66%和39%;较高的PM2.5与BC日均浓度相关系数(R2=0.88)体现了一次排放对颗粒物质量浓度及能见度的显著影响。秋季灰霾过程中气溶胶吸光系数和光散射系数对大气总消光系数的贡献分别为11%和69%,由BC导致的吸光效应较冬季下降了约20%;PM2.5和PM1占PM10质量浓度比例分别为68%和45%,均高于冬季;O3浓度日最大小时值的平均值接近冬季的2倍;二次来源对PM2.5浓度升高和能见度下降起主导作用。来自不同方向的2种气团在珠三角僵持,大气扩散条件差是导致这2次灰霾过程的重要外在条件,应成为灰霾预报预警的重点关注对象。     

成都市大气能见度变化特征及影响因子研究

利用MICAPS 2008—2011年地面观测资料,分析了成都市区大气能见度的变化特征。以2009年成都地区一次低能见度天气过程为例,分析大气能见度与各气象要素的变化关系,讨论影响成都市大气能见度变化的主要因素。结果表明:近年来伴随着霾天数的逐年下降,成都市区年平均大气能见度呈上升趋势,夏季平均值最高,春季次之,冬季最低。高湿和低风速是造成成都市低能见度现象的主要气象条件。PM2.5的浓度与成都市大气能见度呈显著负相关,PM2.5浓度的快速增长是造成大气能见度急剧降低的重要原因。有效降低PM2.5浓度,减少大气污染物排放,是改善成都市区大气能见度的有效途径。     

Summer time haze characteristics of the urban atmosphere of Gwangju and the rural atmosphere of Anmyon, Korea

An extensive visibility monitoring was carried out simultaneously in the urban area of Gwangju and the rural area of Anmyon, Korea. This study examines patterns of visibility impairment and haze-forming pollutant concentrations on both sites resulting from natural and anthropogenic sources of gases and particles. Optical visibility measurements by a transmissometer, a nephelometer and an aethalometer provide aerosol light extinction, scattering, and absorption coefficients for both sites. In order to investigate the physico-chemical characteristics of atmospheric aerosols, aerosol samples were collected by various aerosol samplers at GJVMS (Gwangju Visibility Monitoring Station) and at KGAWO (Korea Global Atmosphere Watch Observatory), respectively. In addition, haze characteristics causing visibility impairment at those two sites were analyzed to obtain source contributions by regionally transported aerosols using grid analysis and display system (GrADS) from NECP reanalysis data. During the intensive monitoring period, ammonium sulfate was dominantly responsible for the fine particle mass loading at GJVMS, whereas organic carbon was the largest contributor at KGAWO. Light scattering by particles accounted for 52.8 to 81.3% of the range at the urban site, GJVMS and for 72.1 to 94.2% of the range at the rural site, KGAWO. Light absorption by the EC and NO₂ was between 14.5 and 34.8% at GJVMS, which was higher than the observed 1.1 ∼ 6.8% at KGAWO, respectively. Light scattering by aerosol was higher in the rural area than in the urban area. And organic carbon concentration was observed to be significantly higher than the concentration of elemental carbon at KGAWO. These haze-forming carbonaceous particles originate from anthropogenic pollutants at the urban atmosphere but they can be produced by natural environments such as marine and forest at the rural atmosphere.     

Mathematical models for accurate prediction of atmospheric visibility with particular reference to the seasonal and environmental patterns in Hong Kong

Atmospheric visibility impairment has gained increasing concern as it is associated with the existence of a number of aerosols as well as common air pollutants and produces unfavorable conditions for observation, dispersion, and transportation. This study analyzed the atmospheric visibility data measured in urban and suburban Hong Kong (two selected stations) with respect to time-matched mass concentrations of common air pollutants including nitrogen dioxide (NO(2)), nitrogen monoxide (NO), respirable suspended particulates (PM(10)), sulfur dioxide (SO(2)), carbon monoxide (CO), and meteorological parameters including air temperature, relative humidity, and wind speed. No significant difference in atmospheric visibility was reported between the two measurement locations (p > or = 0.6, t test); and good atmospheric visibility was observed more frequently in summer and autumn than in winter and spring (p < 0.01, t test). It was also found that atmospheric visibility increased with temperature but decreased with the concentrations of SO(2), CO, PM(10), NO, and NO(2). The results showed that atmospheric visibility was season dependent and would have significant correlations with temperature, the mass concentrations of PM(10) and NO(2), and the air pollution index API (correlation coefficients mid R: R mid R: > or = 0.7, p < or = 0.0001, t test). Mathematical expressions catering to the seasonal variations of atmospheric visibility were thus proposed. By comparison, the proposed visibility prediction models were more accurate than some existing regional models. In addition to improving visibility prediction accuracy, this study would be useful for understanding the context of low atmospheric visibility, exploring possible remedial measures, and evaluating the impact of air pollution and atmospheric visibility impairment in this region.     

Temperature inversion characteristics in relation to synoptic circulation above Athens,Greece

In this paper, the characteristic properties of inversions formed inside the lower boundary layer over Athens, Greece, were studied using 35-year radiosonde measurements of temperature, humidity, and atmospheric pressure. The analysis revealed that the inversion parameters demonstrate considerable seasonal variation. Specifically, inversions associated with weak anticyclonic conditions are more frequent during the winter and summer months, while during spring, weak lows are more probable to produce inversions. Some theoretically expected associations between synoptic circulation patterns and certain inversion parameters were also identified.     

基于自动站资料的深圳灰霾特征对比分析

利用深圳自动气象站的气象要素和深圳大气成分监测系统采集的大气成分数据，分析了深圳城区和郊区灰霾季节变化、日变化差异和不同风向下污染物浓度差异，结果表明，城区由于人类活动频繁导致灰霾日比郊区多，以轻微灰霾偏多为主。秋、冬季城区冷空气活动频繁、能源消耗大，灰霾出现频率是郊区的1~2倍；春季冷空气和海上暖湿气流容易形成对峙，沿海颗粒物更容易吸湿增长，郊区灰霾频率反而比城区高25%；夏季对流强、降水频密，城郊差异最小。城区灰霾频率受早晚交通高峰期影响，日变化呈双峰型。而郊区受太阳辐射和光化学反应影响大，呈单峰型。偏北风条件下污染物浓度明显升高，偏南风带来的清洁空气使得颗粒物浓度降幅明显。     

太湖流域近地表主要温室气体本底浓度特征

根据2003年1月-2005年6月太湖流域近地表大气中主要温室气体CO2、CH4和N2O本底浓度的监测资料,研究了该流域近地表大气主要温室气体浓度的变化特征.结果表明,在观测时段内,该流域近地表大气CO2浓度呈上升趋势;CH4浓度呈逐年递减趋势;N2O浓度呈先减后增趋势.3种气体主要与人类活动、工农业生产和交通运输业发展有关,CO2浓度的季节变化明显,冬春季高,夏秋季低,最高值在12月,最低值在8月;CH4浓度由春至夏升高,由夏至秋至冬递减,最高值在7月,最低值在2月;N2O浓度没有明显的季节变化,它们主要受源汇强度变化影响.CO2浓度的日变化基本呈双峰态,是源汇强度变化和边界层稳定程度相互作用的原因,CH4浓度无明显日变化规律,N2O浓度日变化中的最高值总体呈现是夏、秋、春至冬逐渐延迟的状态.     

青藏高原典型高寒森林地带CH4浓度特征分析

基于波长扫描光腔衰荡光谱线监测系统在海螺沟国家大气背景站(以下简称海螺沟站)开展甲烷(CH_4)连续自动监测,通过局部近似回归法进行背景值筛分分析。结果表明:2016、2017年海螺沟站CH_4年均体积分数和筛分的背景体积分数接近,两者浓度水平与北半球中纬度地区全球本底站CH_4浓度水平相当;海螺沟站CH_4能够代表背景区域浓度水平。海螺沟站CH_4体积分数呈春、夏季低,秋、冬季高特征,季节变化主要受到特定的地理环境和大气环流的影响,大气环流占主导影响。夏季CH_4体积分数最低但日振幅最大,与高原高海拔背景下森林地带的辐射对流引起局地扩散作用有关。采用逐步逼近回归筛分CH_4监测数据,海螺沟站CH_4背景季浓度变化和北半球中高纬度地区其他背景站大气CH_4的季节变化特征以及CH_4季体积分数振幅基本一致。背景站四季的CH_4载荷贡献在16个风向分布结果表明,在春、夏季存在西风带下南亚方向污染物气团的远距离输送;青藏高原东部近地面在冬季处于反气旋冷高压控制下,而SSW方向风向能够短暂打破这种稳定的气象条件,污染物得到迅速扩散,SSW为负贡献。