近十年中国灰霾天气研究综述

基于2013年武汉市环境监测数据和气象要素资料, 分析该市空气质量状况与气象条件的关系。结果表明, 武汉市全年平均空气质量指数(AQI)为135, 良和轻度污染所占比例分别为35%和30%。雾天、霾天、晴天、雨天四种天气条件下, 6种污染物(SO₂、NO₂、CO、O₃、PM_2.5和PM₁₀)浓度值基本上为雾天最高、霾天次之、晴天再次之、雨天最低, 雾天00-08时污染物浓度明显高于其他天气条件; PM_2.5浓度与降水量的相关性较差, 中雨量级时, 降水对污染物的清除作用显著, PM_2.5浓度下降明显, 当日降水量小于1 mm时, PM_2.5浓度略有上升, 平均上升1.3 μg·m^-3左右, 这与微量降水的大气增湿作用有关; PM_2.5浓度变化与相对湿度(R_H)和风速的关系较明显, 其相关系数分别为0.87和-0.72, 当R_H>70%且每增加10%时, PM_2.5浓度增加10 μg·m^-3左右; 静风和风速很大时, 污染物浓度相对较高, 东南风影响下PM_2.5浓度在四季均较高, 而秋、冬季在西北风影响下PM_2.5浓度最高; PM_2.5浓度主要增长阶段以正变温、负变压为主。

     

1980-2003年京、津、冀地区大气能见度变化趋势研究

利用京、津、冀88个气象站1980—2003年能见度、相对湿度和天气现象等气象要素资料,剔除气象因素对能见度的影响,采用累积百分率和Ridit两种方法,分析了由于人为空气污染所造成的区域大气能见度变化趋势。结果表明,24年来京、津、冀大部分地区能见度呈下降趋势,其中沧州、廊坊、天津、衡水和邯郸五地区下降趋势最为明显。四个季节中,夏季下降趋势最显著。1995年以后,京、津、冀能见度低值主要出现在石家庄、邢台、邯郸、廊坊、天津和沧州地区,而北京市能见度出现明显上升趋势。2001—2003年大部分地区能见度仍呈下降趋势,夏季和冬季下降趋势最为明显,河北省西南部太行山地区能见度最差。将区域能见度趋势与同期能源消耗量和机动车趋势进行对比,结果表明,大气能见度趋势与能源消耗和机动车增长存在很好的相关性。     

太原雾天能见度预报

利用中尺度数值预报模式MM5对山西省2009年发生的几场典型雾个例进行数值模拟。结果表明：模拟2 m温度比观测值偏低约2 ℃,相对湿度模拟结果比观测值偏大约15 %,10 m的模拟风速比观测的偏大0-2 m·s^-1。山西省雾的预报指标为20 m液态水含量大于等于0.13 g·kg^-1而小于0.60g·kg^-1、20-1500 m高度大气层存在逆温层、地面风速小于4 m·s^-1。利用太原测站日平均能见度、日平均相对湿度以及空气污染指数进行拟合建立太原能见度预报模型,并利用实测资料订正MM5、CAPPS模式预报误差,给出订正后的能见度预报方程并以两次实例对区域及太原雾天能见度预报表明该能见度预报模型有一定的适用性。     

南京市大气能见度的变化趋势及特征

利用南京国家气候基准站1980—2008年能见度、相对湿度和天气现象等气象要素资料,剔除气象因素对能见度影响,采用百分位分析法、等级分析法和Ridit分析法,分析了由于空气污染造成南京地区大气能见度的变化趋势。结果表明,近30 a来,南京市年平均和四季大气能见度整体显著下降,但其中“较差”和“一般”能见度出现频率显著上升,“较好”能见度则明显下降;四季能见度及其分布均呈现春、夏季节变化不同,秋、冬季节变化显著的特点;能见度呈逐年代降低但降幅减缓;能见度季节差异也呈逐年代减小趋势;此外,冬季能见度早在1987年起变差;并且本世纪以来,冬季能见度以“较差”和“一般”为主,其余三季均是以“一般”为主。     

Particulate matter trends and quantification of the spring sand-dust contribution in Hohhot,Inner Mongolia,from 2013 to 2017

2013年9月国务院颁布了《大气污染防治行动计划》.研究其实施前后呼和浩特市大气污染物浓度变化及及原因;同时,分析了春季沙尘天气对于呼和浩特市大气环境颗粒物浓度的定量影响.结果表明:呼和浩特市大气环境质量持续改善,但大气污染物浓度仍然较高.PM2.5和PM10年均浓度分别超过国家二级标准22.9％和35.7％;2013...     

2013年1月华北平原重霾成因模拟分析

2013年1月华北平原出现了罕见的重污染天气过程,并引发连续多天大范围重霾现象。利用中华人民共和国环境保护部公布的空气污染指数日值数据和气象常规观测数据,结合区域空气质量模式系统RAMS-CMAQ的模拟结果,对1月10~15日污染过程的气象要素和关键气溶胶物种时空分布特征进行了详细分析,并对灰霾成因进行了探讨。结果表明,受本次污染过程影响的区域主要分布在北京-天津-唐山、河北省中南部和山东省大部。这些地区细颗粒物(即PM2.5)日均质量浓度超过120μg m–3,且基本被灰霾覆盖,日均能见度在5~8 km之间。其中在北京、天津、石家庄和济南市及周边地区细颗粒物日均质量浓度可达250~300μg m–3,部分市区可超过300μg m–3,而日均能见度则可下降至3 km以下,形成重度灰霾。此外,对气象场的分析显示,本次污染过程期间华北平原大部分地区水平风速较多年平均值偏小约20%,且有明显逆温层覆盖,北京-天津-唐山、河北省南部和山东省北部的相对湿度则较多年平均值偏高达10%~40%。这样的气象条件不仅造成污染物易于堆积,而且有利于吸湿性粒子消光效应的快速增长,使能见度明显下降,是引发灰霾的重要因素之一。在北京地区引发灰霾的主要气溶胶物种为硫酸盐、硝酸盐和铵盐,这3种无机盐对近地面的消光贡献比率达到50%以上。其中硝酸盐的消光贡献比率最高,可达总体效应的1/4,表明在这次污染过程中除相关工业源排放外,交通源排放也是北京地区主要的污染源之一。     

Heavy metals in aerosol samples from the Eastern Pamirs collected 2004–2006

This study measured the concentration of heavy metal elements in atmospheric aerosol samples collected between July 2004 and April 2006 at a remote site on Mt. Muztagata (38°17'N, 75°01'E, 4430 m), in the Eastern Pamirs. Inductively coupled plasma mass spectroscopy (ICP–MS) results show that the air at Muztagata contains low concentrations of As and heavy metal elements (Cr, Ni, Cu, Zn, Cd, Pb, and Bi), comparable with those in the Arctic — far lower than in heavily populated or industrialized areas. Observed enrichment factor (EF) values greater than 10 for those elements suggest partly anthropogenic sources. Seasonal variations in the concentrations of Zn, Cd, Pb, Bi, and As resemble those of crustal Al, with greater concentrations during the summer but lower ones in winter. Our results reveal that the background atmosphere in remote inner Asia is only weakly affected by anthropogenic pollution, and demonstrate that high heavy metal concentrations occur during summer but with greater EF values during the winter. The air mass back-trajectory analyses suggest that pollution from West Asia, Central Asia, and South Asia are the main possible source areas that contribute to the heavy metals in aerosols at Muztagata.     

Ozone in ambient air at a tropical megacity, Delhi: characteristics, trends and cumulative ozone exposure indices

Seven year data of hourly surface ozone concentration is analyzed to study diurnal cycle, trends, excess of ozone levels above threshold value and cumulative ozone exposure indices at a tropical megacity, Delhi. The ozone levels clearly exhibit a diurnal cycle, similar to what has been found in other urban places. A sharp increase in the ozone levels during forenoon and a sharp decrease in the early afternoon can be observed. The average rate of increase in ozone concentration between 09 and 12 h has been observed to be 7.1 ppb h⁻¹. We find that the daily maximum and daytime 8-h (10–17 h) ozone levels are increasing at a rate of about 1.7 (± 0.7) and 1.3 (± 0.56) ppb y⁻¹, respectively. The directives on ozone pollution in ambient air provided by United Nations Economic Commission for Europe and World Health Organization for vegetation (AOT40) and human health protection were used to assess the air quality. The present surface ozone levels in the city are high enough to exceed “Critical Levels” which are considered to be safe for human health, vegetation and forest. The human health threshold was exceeded for up to ~45 days per year. The AOT40 (Accumulated exposure Over a Threshold of 40 ppb) threshold was exceeded significantly during winter (D-J-F) and pre-monsoon (M-A-M) (Rabi crop growing season) season in India. Translating AOT40 exceedances during pre-monsoon into relative yield loss we estimate yield loss of 22.7%, 22.5%, 16.3% and 5.5% for wheat, cotton, soybean and rice, respectively.     

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.     

PLAM指数跟踪方法对中国沙尘天气过程及其波动变化特征的研究

采用1980-2011年气象台站地面气象要素观测资料、高空探空资料,时间和空间加密气象观测站资料,以及中国气象档案馆原始天气图表等资料,基于沙尘气溶胶浓度（PM₁₀）潜势源地贡献函数PSCF（Potential source contribution function）的沙尘系统追踪方法,发展空气质量气象条件PLAM（……）指数对沙尘天气过程的路径跟踪,给出1980-2011年东北亚沙尘天气过程特征分布;采用Spline趋势分析,讨论沙尘天气系统强度的年变化特征。结果表明：基于气溶胶浓度PSCF函数和气象条件PLAM指数追踪得出,中国和东亚地区沙尘天气过程年际强度变化并非单调减弱,具有历史持续性与转折突变性并存的波状变化趋势,出现准10 a的高低频活动特征。     

Measurements of gas and aerosol for two weeks in northern China during the winter–spring period of 2000, 2001 and 2002

Intensive measurements of gas and aerosol for 2 weeks were carried out at Qingdao (gas and aerosol in 2000, 2001 and 2002), Fenghuangshan (gas and aerosol in 2000 and 2001), and Dalian (aerosol in 2002) in the winter–spring period. High SO₂ episodes were observed on 18 January 2000 at both Qingdao and Fenghuangshan. According to back trajectory calculations and analysis of gaseous species, high SO₂ episodes were caused by local pollution and transport.Nitrate, sulfate and ammonium were the major species in PM_2.5. Mass fractions of NO₃⁻, nss-SO₄²⁻ and NH₄⁺ at Qingdao in 2002 were 10%, 12% and 5.5% for PM_2.5, respectively, which were higher than that of nss-Ca²⁺ (1%). Chemical compositions observed at Dalian and Fenghuangshan were similar to those at Qingdao. The mass ratio of nss-SO₄²⁻/SO₂ at Qingdao in winter was low (< 1.2), indicating that sulfate was probably produced by the slow oxidation of SO₂ in the gas phase and/or was transported from outside of Qingdao in winter. The equivalent ratio of NH₄⁺ to nss-SO₄²⁻ was 1.39, suggesting that ammonium sulfate was one of the major chemical compositions in PM_2.5. The NO₃⁻/SO₄²⁻ ratio at Qingdao was higher than that at remote places in East Asia. Gas and aerosol data obtained at Fenghuangshan were similar to data at Qingdao, suggesting that emissions from small cities may have a great influence on pollution in northern China.     

Atmospheric Environmental Capacity of SO2 in Winter over Lanzhou in China： A Case Study

The total emission control method based on atmospheric environmental capacity is the most effective in air pollution mitigation. The atmospheric environmental capacities of SO2 on representative days over Lanzhou are estimated using the numerical models RAMS, HYPACT and a linear programming model, according to the national ambient air quality standard of China （NAAQSCHN）. The results show that the fields of meteorological elements and SO2 simulated by the models agree reasonably well with observations. The atmospheric environmental capacity of SO2 over Lanzhou is around 111.7 × 10^3 kg d^-1, and in order to meet the air quality level Ⅱ of the NAAQSCHN, SO2 emissions need to be reduced by 20%.     

Trends in chemical composition of precipitation in Nanjing, China, during 1992–2003

In this study, variations of the chemical composition of precipitation in Nanjing, China, over a 12-year period (1992–2003) are presented. The average annual concentration of pH value was 5.15, ranging from 4.93 to 5.36, and there was no significant trend in the acidity of precipitation. SO₄²⁻, Cl⁻ and NO₃⁻ were the main anions, while Ca²⁺, NH₄⁺ and Mg²⁺ were the main cations. The concentrations of these main ions were very high compared to those reported in many other areas around the world. Most of the ions came from anthropogenic and crustal sources. High correlations were found among dust-derived cations Ca²⁺, Mg²⁺and K⁺, between Cl⁻ and SO₄²⁻, between Cl⁻ and NH₄⁺ and between acidic anions and dust-derived cations, such as SO₄²⁻ and Ca²⁺, SO₄²⁻ and K⁺, Cl⁻ and Ca²⁺, Cl⁻ and K⁺, F⁻ and Mg²⁺ and F⁻ and K⁺. A significant decreasing trend was observed in concentration of SO₄²⁻ because of the abatement strategies for SO₂ emissions and energy policy change, while a significant increasing trend was found in the contribution of NO₃⁻ to acidification due to the rapidly growing number of motor vehicles. A significant decreasing trend was found in dust-derived cation Ca²⁺ due to more stringent controls of industrial dust emissions and rapid urbanization reducing the amount of open land, while the contribution of NH₄⁺ to neutralization increased relatively.