太湖氮磷大气干湿沉降时空特征

为了探索太湖氮磷营养盐干湿沉降特征及对太湖营养盐输入的贡献,于2011年不同季节采集太湖不同位点的大气干湿沉降样品,分析干湿沉降中氮（N）和磷（P）的形态和沉降量。研究结果表明,输入太湖的磷以干沉降为主,而氮以湿沉降为主。在太湖干沉降中总无机氮（TIN）占总氮（TN）的77.1%,溶解性磷（DIP）占总磷（TP）的77.9%。干沉降中TIN主要以NH+4-N为主。西太湖是TN与TP通过大气干湿沉降输入太湖的最高湖区。太湖全年大气TN沉降总量为20 978 t,TP沉降总量为1 268 t,因此,氮磷大气干湿沉降是太湖营养盐输入的重要来源之一。     

大气磷干沉降采样方法对比分析

以四川农业大学成都校区为监测点,采用大气主动采样法(AA)、大气干表面法(ADS)及大气湿表面法(AWS)3种常用干沉降采集方法做大气磷干沉降通量对比试验。结果表明,3种采样方法获得的大气磷干沉降通量间具有显著的差异性及相关性(P0.05),三者间可以进行换算统一;AA法适用于较短采样周期的连续性监测研究,ADS法适用于较长采样周期(5 d)的监测研究,而AWS法更适用于在长采样周期(月)内选取一段时间作为干沉降监测的研究。     

冶炼厂周边区域夏季大气Cu和Cd沉降特征

为了解贵溪冶炼厂周边农田区域夏季大气重金属沉降状况,于2012年6—8月及2013年6—8月(夏季),设置8个监测点,共收集大气干湿混合样品48个,采用原子吸收分光光度法分析了Cu、Cd。结果发现,冶炼厂周边区域2012年夏季Cu、Cd沉降通量分别为42.5~421、1.01~5.06 mg/m2,平均值149、2.02 mg/m2;2013年夏季Cu、Cd沉降通量分别为40.6~94.3、0.12~0.44 mg/m2,平均值59.4、0.26 mg/m2。同1月份不同监测点Cu、Cd沉降量存在一定差异性,风向为造成该差异性的主要气象因素;不同监测点Cu、Cd月沉降通量与风向频率均具有显著相关性(r均大于0.60)。降雨量影响Cu、Cd月沉降量,Cu、Cd平均月沉降量与降雨量均呈显著相关关系(r=0.91、r=0.87,P0.05)。     

太湖大气氮、磷干湿沉降特征

于2018年1—12月,采集太湖湖滨及湖面共计9个点位600多个干湿沉降样品,估算了N、P干、湿沉降率以及全太湖2018年N、P干、湿沉降通量。结果表明,2018年太湖TN和TP月湿沉降率均值分别为161. 2和7. 1 kg/(km~2·月),TN和TP月干沉降率均值分别为103. 6和4. 5 kg/(km~2·月)。TN和TP年干沉降率空间分布规律为:湖面之上开阔水域处的TN和TP年干沉降率大于其他湖滨点位,TN和TP总沉降通量为7 702和333 t/a。2018年相比于2002—2003年,TN和TP总沉降通量分别降低了22. 6%和53. 8%。     

欧盟空气质量综合模型体系及相关研究

1　前言空气污染对欧洲所造成的损害是严重的 ,这些损害是由于许多化学物质浓度太高 ,并沉降到地面引起的。其中最主要的是酸性物质 (如含硫和含氮化合物 )、光化学产物 (包括臭氧 )、颗粒物和有毒物质 (如重金属、有机物 )。这些污染物的大气浓度和沉降量依赖于以下几个因素 :( 1 )污染物排放进入大气的总量和时空分布 ;( 2 )污染物在大气中的输送及化学变化过程 ;( 3)干湿沉降过程。排放消减策略的评价必须考虑以上 3个因素。由于这些问题比较复杂 ,因此要求使用大气模式。此外 ,生态系统对于污染和沉降的平均暴露量的计算、排放消减方案…     

伊犁河谷大气酸沉降变化趋势

对2007—2014年伊犁河谷大气降水监测结果进行分析,结合伊犁河谷流域相对湿润、封闭的地形地貌和逆温气候资源特征与煤化工、煤电发展态势,类比预测了酸雨前体物的增加对伊犁河谷大气降水p H值变化趋势的影响。研究结果表明:目前伊犁河谷大气降水尚处于本底水平,城市人类活动对伊犁河谷大气降水酸雨前体物SO2、NOx的贡献高于郊区。伊犁河谷酸雨前体物SO2、NOx排放强度与大气降水硫酸盐和硝酸盐实际监测浓度相存在正相关性。类比同处于新疆干旱区乌鲁木齐市出现酸雨年度的情况,"十三五"期间,伊犁河谷大规模煤电、煤化工基地的建设,酸雨前体物排放量大幅增加,将会造成酸雨发生的风险。     

北京市大气颗粒物的浓度水平和离子物种的化学形态

用离子色谱法测定了 1 998年 1 1月至 1 999年 2月期间的 2 4个总悬浮颗粒物 (TSP)样品中 NH+ 4、NO- 3、SO2 - 4和Na+ 质量浓度。研究结果表明 ,北京市冬季大气颗粒物中离子物种的化学形态可以分为三种情况 :污染严重时 ,离子物种以 H2 SO4 、NH4 HSO4 、Na NO3为主要存在形态 ,气溶胶酸性强 ;污染轻时 ,离子物种以 (NH4 ) 2 SO4 、Na NO3为主要存在形态 ,气溶胶呈弱酸性 ;中等污染时 ,离子物种以 (NH4 ) 2 SO4 、NH4 HSO4 、Na NO3几种化学形态存在 ,气溶胶呈中等酸性     

鞍山市大气尘和金属元素沉降通量及污染特征

通过采集鞍山市11个点位的降尘样品以及土壤样品,用ICP-MS分析了Cu、Mn、Zn、Pb等元素含量,并计算其沉降通量。结果表明,鞍山地区大气降尘的沉降通量为2.92～59.8g/(m2.month),其中鞍钢厂区沉降通量均值为31.6g/(m2.month),分别是周边地区和对照地区的4.72倍和10.5倍。重金属As、Cr、Pb和Cd的沉降通量分别为3.78、45.5、42.8、0.457g/(hm2.month)。降尘中各元素的富集系数为0.29～190,其中Cu、Fe、Zn、Mo、Cd、Pb和Se的富集系数大于10,说明这些元素主要来自于人为源。鞍钢厂区土壤中Cu、Pb、Mn、Zn、Mo、Cd、Ca、Fe和Se的含量较辽宁省土壤背景值高,说明其土壤环境已经受到了人类活动的影响。     

南京市冬季PM2.5中水溶性离子污染特征研究

基于城市超级站对2018年12月—2019年2月南京市在线水溶性离子污染特征进行研究。结果表明：监测期间水溶性无机离子(WSIs)质量浓度均值为45.7μg/m3,占PM2.5的67.8%,各离子排序为NO3-＞ SO42-＞NH4+＞Cl-＞K+＞Ca2+＞Na+＞Mg2+。二次离子（SNA）是PM2.5主要组分,大气气溶胶呈中性。各离子日变化存在差异,SNA变化趋势和WSIs基本一致。南京市冬季存在明显SO2和NO2向SO42-和NO3-二次转化;NO3-/SO42-均值为1.96,移动源增量大于固定源。通过相关性和三相聚类分析可知,SNA主要结合方式为(NH4)2SO4和NH4NO3。主成分分析表明,南京市冬季PM2.5中水溶性离子主要来源是二次转化,燃煤、生物质燃烧和土壤建筑扬尘也有贡献。     

大气中NH3的光学监测技术研究进展

NH3是大气中含量仅次于NO和N2的含氮化合物,也是大气中重要的碱性气体,作为酸性污染物的中和剂,NH3越来越受到人们的重视。文章介绍了大气NH3的主要农业和非农业排放来源,并详细介绍了近年来大气NH3的光谱测量技术(光声光谱技术,量子级联激光吸收光谱技术,傅里叶红外分析技术,可调谐半导体激光器吸收光谱技术以及紫外差分吸收光谱技术)及其进展,总结并分析了这些技术的技术要点、应用领域以及在最近10年对大气NH3的测量结果和研究热点。     

Contemporary estimates of atmospheric nitrogen deposition to the watersheds of New York State, USA

Atmospheric inputs of reactive nitrogen (N) to ecosystems are a particular concern in the northeastern USA, including New York State, where rates of atmospheric N deposition are among the highest in the nation. We calculate the seasonal and annual spatial variations of contemporary inorganic atmospheric N deposition loading to multi-scale watersheds across New York State using numerous monitoring datasets of precipitation and ambient atmospheric N concentrations. Our models build upon and refine previous efforts estimating the spatial distribution of N deposition. Estimates of total inorganic wet deposition (NH4-N + NO3-N) across New York ranged from 4.7 to 10.5 kg ha(-1) yr(-1) under contemporary conditions (averaged 2002-2004), and both seasonal and annual predicted rates of inorganic N deposition (NH4-N, NO3-N, and total) fit relatively well with that of observed measurements. Our results suggest that "hot spots" of N deposition are, for the most part, spatially distributed according to geographic positions (i.e., relative location from sources and the Great Lakes system) and elevation. We also detect seasonal variations in deposition, showing that total wet atmospheric inorganic N deposition inputs to watersheds (extracted from the four-digit HUC calculations) are highest during the spring (mean = 2.4 kg ha(-1), stddev = 0.29) and lowest during the winter months (mean = 1.4 kg ha(-1), stddev = 0.23). Results also suggest that wet NO3(-) consistently comprises a slightly higher proportion of wet N deposition than wet NH4+ throughout watersheds of New York, ranging from 2.5 to 6.1 kg NO3-N ha(-1) yr(-1) compared to NH4+, which ranges from 2.2 to 4.4 kg NH4-N ha(-1) yr(-1).     

Atmospheric NO2 and NH3 deposition into a typical agro-ecosystem in Southeast China

The dry deposition of atmospheric nitrogen (including NO(2) and NH(3)) into a typical agro-ecosystem in Southeast China during 2006-2007 was estimated. Results indicated that the dry deposition velocities of NO(2) and NH(3) ranged from 0.04-0.24 cm s(-1) and 0.09-0.47 cm s(-1), respectively. The higher values appeared in the non-crop growing period. Concentrations of atmospheric NO(2) and NH(3) ranged from 24.64-104.10 μgN m(-3) and 14.40-389.6 μgN m(-3), respectively. Variation of the NH(3) mixing ratio showed a clear double-peak. NO(2) and NH(3) deposition fluxes were 74.68-80.75 kgN ha(-1), which was equivalent to 162.4 and 175.5 kg ha(-1) of urea applied in 2006-2007. The N deposition fluxes were 13.91-40.38 and 5.33-22.73 kgN ha(-1) in peanut and rice growing periods, accounting for 8.18%-40.38% and 2.13%-23.06% of N fertilizer usages, respectively. NO(2) and NH(3) deposition were significant for the red soil farmland.     

Atmospheric inorganic nitrogen deposition to a typical red soil forestland in southeastern China

A 2-year monitoring study was conducted to estimate nitrogen deposition to a typical red soil forestland in southeastern China. The dry deposition velocities (V(d)) were estimated using big leaf resistance analogy model. Atmospheric nitrogen dry deposition was estimated by combing V(d) and nitrogen compounds concentrations, and the wet deposition was calculated via rainfall and nitrogen concentrations in rainwater. The total inorganic nitrogen deposition was 83.7 kg ha(-1) a(-1) in 2004 and 81.3 kg ha(-1) a(-1) in 2005, respectively. The dry deposition contributed 78.6% to total nitrogen deposition, in which ammonia was the predominant contributor that accounted for 86.1%. Reduced nitrogen compounds were the predominant contributors, accounting for 78.3% of total nitrogen deposition. The results suggested that atmospheric inorganic nitrogen could be attributed to intensive agricultural practices such as excessive nitrogen fertilization and livestock production. Therefore, impacts of atmospheric nitrogen originated from agriculture practices on nearby forest ecosystems should be evaluated.     

Deposition Monitoring in Europe

A monitoring station for atmospheric deposition was designed and constructed. Three such stations were applied in a pilot project for a year on three sites (Speulder forest in The Netherlands, Auchencorth in Scotland and Melpitz in Germany) in different regions in Europe to estimate local inputs and to validate deposition models which are currently used or developed to estimate ecosystem specific deposition in Europe. Fluxes at Auchencorth Moss are lowest for all components, except for those much influenced by the sea as a source. As Melpitz is located far away from seas, these components are lowest at this site. Wet deposition is the dominant source of input at Auchencorth, whereas at Speulder forest, through its roughness and pollution climate, dry deposition is dominant. At this site dry deposition velocities are highest. Melpitz is a polluted site. Particularly sulphur deposition is high. It is recommended to equip several locations in Europe with intensive deposition monitoring methods. Such a network will be an extension of existing monitoring programmes on air pollution, such as that run by Eurepean Monitoring and Evaluation Programme for the long-range transmission of air pollutants in Europe (EMEP). The intensive monitoring locations should be selected based on pollution climates and type of vegetation, common in Europe.     

Long-term relationships between SO2 and NOx emissions and SO4(2-) and NO3- concentration in bulk deposition at the Hubbard Brook Experimental Forest, NH

A highly significant second-order polynomial relation between SO(2) emissions and SO(4)(2-) concentrations during 1970-2000 (r(2)= 0.80, p= <0.001), and a linear relation between NO(x) and NO(3)(-) concentrations during 1991-2000 (r(2)= 0.67, p= 0.004) in bulk precipitation were found for the Hubbard Brook Experimental Forest, NH based on emissions from a 24 h, back-trajectory determined source area. Earlier periods (1965-1980) for SO(2)ratio SO(4)(2-) and longer periods (1965-2000) for NO(x)ratio NO(3)(-) had poorer linear relations, r(2)= 0.03, p= 0.51 and r(2)= 0.22, p= 0.004, respectively. Methodology by the US Environmental Protection Agency for calculating emissions data during this period has changed significantly and frequently, making trend analysis difficult. Given the large potential for errors in estimating emissions and to a lesser extent, deposition, the robust relations between SO(2) emissions and SO(4)(2-) concentrations in bulk precipitation at the Hubbard Brook Experimental Forest show that careful, long-term measurements from a single monitoring site can provide sound and reasonable data on trends in air pollution.     

Changes in precipitation chemistry in Lithuania for 1981-2004

This paper considers the spatial and temporal variability in concentrations of the potentially acidifying ions in precipitation in Lithuania during the 1981-2004 period. Chemical analysis of precipitation included measurements of pH, conductivity, sulfate (SO4(2-)), nitrate (NO3-), chloride (Cl-), ammonium (NH4+), sodium (Na+), potassium (K+), and calcium (Ca2+). Temporal trends in the potentially acidifying ion concentrations in precipitation and wet deposition were evaluated using the non-parametric Mann-Kendall test and Sen's slope estimator. A statistically significant decline was observed in non-sea salt sulfate (nssSO4(2-)) and hydrogen (H+) ions concentrations (82% and 79%, respectively) and wet depositions (88% and 74%, respectively). Temporal trends both in concentration and wet deposition of nitrate and ammonium were not as pronounced as trends in sulfate concentration. Analysis of air mass backward trajectories was applied to reveal the influence of air mass originating in different regions on wet deposition of acidifying species in Lithuania. Sector analysis clearly showed that wet deposition of sulfur and nitrogen in Lithuania is to a large extent anthropogenic and the main source regions of acidifying species contributing to wet deposition in Lithuania are in South and Central Europe.     

A Global Overview of Atmospheric Acid Deposition Fluxes

This paper presents a summary of globalacid deposition flux data taken from a globalassessment report on acid deposition prepared forUNEP/WMO (Whelpdale and Kaiser, 1996). There is a largevariation in the spacial coverage and reliability ofmonitoring around the world. Many more stationsmeasure wet deposition than collect appropriate datafor estimating dry deposition. The widespread regionswith highest precipitation concentrations anddeposition fluxes of sulphate and nitrate coincideclosely with the regions of highest density ofSO₂ and NO_x precursor emissions occurringprimarily in the mid-latitude, northern hemispherebelt where a large fraction of the worlds fossilfuels is consumed. Organic acids in precipitation makea minor contribution to acidity (<20%) inindustrial regions, but in the rest of the world theyare of same order, or even exceed, inorganic acids.Less is known about dry deposition, but it appears topredominate near strong emission sources with wetdeposition predominating farther downwind. The molarratio of the N/S contribution to acidic deposition isclose to 1.0 over large areas of Europe and NorthAmerica, but is highly variable elsewhere, beinghighest in equatorial regions due to biomass burningand lowest near smelters and other large sources of SO₂.     

Enhanced Wet Deposition Estimates using Modeled Precipitation Inputs

Effective assessments of linkages between atmospheric deposition and sensitive aquatic and terrestrial ecosystems require a knowledge of spatial patterns in deposition of greater resolution than currently available using point estimates and two-dimensional surface algorithms. A high resolution wet deposition model was developed for the Eastern U.S.A. by incorporating daily precipitation measurements from National Oceanic and Atmospheric Administration (NOAA) monitoring sites located within the Eastern U.S.A.; topographic variables, including elevation, slope, and aspect that affect the amount and distribution of precipitation across the region; and precipitation chemistry data from National Atmospheric Deposition Program (NADP) sites within and adjacent to the region. Model performance, which was tested against independent measurements from three physiographic regions of the eastern U.S.A., revealed a statistically significant reduction in interpolation error compared to traditional two-dimensional surface algorithms.     

石家庄市大气颗粒物中水溶性无机离子污染特征研究

用超声萃取－离子色谱法分析了石家庄市大气颗粒物中8种水溶性无机离子。结果表明,NO3－、SO2－4、NH4＋及 Ca2＋为主要组分;各个离子的质量浓度均有季节及空间变化差异;不同粒径颗粒物中 SO2－4和 NO3－相关性均很好,NH4＋与 SO2－4、NO3－在细颗粒物中具有良好的相关性,Ca2＋在粗粒子中与 NO3－和 SO2－4的相关性也较好。SO2－4／NO3－质量比季节变化表明,春、夏季固定源与流动源对大气颗粒物贡献相当,秋季流动源贡献较大,冬季固定源贡献较大。PM2．5中SO2与SO2－4、NO2与 NO3－转化率表明,SO2－4、NO3－主要是由二次转化而来。