太湖湖滨带春季悬浮物沉降特征与水体营养盐响应

为研究湖滨带悬浮物沉降过程中水体营养盐时空分布状况,在太湖西岸湖滨带典型区域进行原位沉降实验,计算了沉降量和沉降通量,并对沉降过程中TP、TN、NH+4-N、NO-3-N测定分析.结果表明,太湖西岸湖滨带沉降通量表现为人工芦苇区近岸无植被区自然芦苇区远岸无植被区,平均沉降通量分别为(1 383.40±925.60)、(1 208.67±743.50)、(278.72±142.53)、(245.58±154.25)g·(m2·d)-1,沉降第6 d以后沉降量稳定上升,沉降速率大于分解速率;经过持续15 d野外沉降实验观测,沉降过程中近岸带的TP含量是远岸带的2~3倍,且沉积物捕获器内NH+4-N和NO-3-N含量出现显著的差异(P0.01);沉降量与水体TN和NH+4-N含量呈显著相关(P0.01,n=42),表明沉降量的增加会导致上覆水体TN与NH+4-N含量增加;TN与NH+4-N相关系数为0.84,显示沉降量的增加可能加速氮素不同形态间相互转化,这一现象在当前太湖湖泛治理中应当予以重视.     

闽江口互花米草入侵过程对短叶茳芏沼泽沉积物硝化-反硝化作用的影响

2014年4、7、10月和2015年1月在闽江口鳝鱼滩湿地选择未被入侵的短叶茳芏(Cyperus malaccensis)群落(A)、互花米草入侵斑块边缘(B)以及互花米草(Spartina alterniflora)入侵斑块中央(C)为研究对象,基于时空互代研究方法,探讨互花米草入侵序列下湿地沉积物硝化-反硝化变化规律.结果表明:在互花米草入侵序列中,湿地沉积物硝化速率为0.19~1.66μmol·m~(-2)·h~(-1),反硝化速率为12.41~27.19μmol·m~(-2)·h~(-1).沉积物硝化-反硝化作用存在明显的季节变化,硝化速率表现为夏季春季秋季冬季,反硝化速率表现为夏季秋季冬季春季;入侵不同状态下,沉积物硝化速率表现为BCA,反硝化速率表现为CBA.互花米草入侵提高了沉积物-水界面N_2O交换通量.互花米草入侵引起的沉积物pH、NH_4~+-N、含水量、容重和电导率等理化性质的改变是导致不同入侵阶段沉积物硝化-反硝化速率以及N_2O释放差异的重要原因.     

Visible leaf injury in young trees of Fagus sylvatica L. and Quercus robur L. in relation to ozone uptake and ozone exposure. An Open-Top Chambers experiment in South Alpine environmental conditions

An Open-Top Chambers experiment on Fagus sylvatica and Quercus robur seedlings was conducted in order to compare the performance of an exposure-based (AOT40) and a flux-based approaches in predicting the appearance of ozone visible injuries on leaves. Three different ozone treatments (charcoal-filtered; non-filtered; and open plots) and two soil moisture treatments (watered and non-watered plots) were performed. A Jarvisian stomatal conductance model was drawn up and parameterised for both species and typical South Alpine environmental conditions, thus allowing the calculation of ozone stomatal fluxes for every treatment. A critical ozone flux level for the onset of leaf visible injury in beech was clearly identified between 32.6 and 33.6 mmolO3 m(-2). In contrast, it was not possible to identify an exposure critical level using the AOT40 index. Water stress delayed the onset of the leaf visible injuries, but the flux-based approach was able to take it into account accurately.     

Seasonal and particle size-dependent variations in gas/particle partitioning of PCDD/Fs

This study monitored particle size-dependent variations in atmospheric polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs). Two gas/particle partitioning models, the subcooled liquid vapor pressure (P(L)(0)) and the octanol-air partition coefficient (K(OA)) model, were applied to each particle sizes. The regression coefficients of each fraction against the gas/particle partition coefficient (K(P)) were similar for separated particles within the same sample set but differed for particles collected during different periods. Gas/particle partitioning calculated from the integral of fractions was similar to that of size-segregated particles and previously measured bulk values. Despite the different behaviors and production mechanisms of atmospheric particles of different sizes, PCDD/F partitioning of each size range was controlled by meteorological conditions such as atmospheric temperature, O(3) and UV, which reflects no source related with certain particle size ranges but mixed urban sources within this city. Our observations emphasize that when assessing environmental and health effects, the movement of PCDD/Fs in air should be considered in conjunction with particle size in addition to the bulk aerosol.     

Implementation of a windblown dust parameterization into MODELS-3/CMAQ: Application to episodic PM events in the US/Mexico border

Windblown dust is known to impede visibility, deteriorate air quality and modify the radiation budget. Arid and semiarid areas with unpaved and unvegetated land cover are particularly prone to windblown dust, which is often attributed to high particulate matter (PM) pollution in such areas. Yet, windblown dust is poorly represented in existing regulatory air quality models. In a study by the authors on modeling episodic high PM events along the US/Mexico border using the state-of-the-art CMAQ/MM5/SMOKE air quality modeling system [Choi, Y.-J., Hyde, P., Fernando, H.J.S., 2006. Modeling of episodic particulate matter events using a 3D air quality model with fine grid: applications to a pair of cities in the US/Mexico border. Atmospheric Environment 40, 5181–5201], some of the observed PM₁₀ NAAQS exceedances were inferred as due to windblown dust, but the modeling system was incapable of dealing with time-dependent episodic dust entrainment during high wind periods. In this paper, a time-dependent entrainment parameterization for windblown dust is implemented in the CMAQ/MM5/SMOKE modeling system with the hope of improving PM predictions. An approach for realizing windblown dust emission flux for each grid cell over the study domain on an hourly basis, which accounts for the influence of factors such as soil moisture content, atmospheric stability and wind speed, is presented in detail. Comparison of model predictions with observational data taken at a pair of US/Mexico border towns shows a clear improvement of model performance upon implementation of the dust emission flux parameterization.     

Particle fluxes above forests: observations, methodological considerations and method comparisons

This paper reports a study designed to test, evaluate and compare micro-meteorological methods for determining the particle number flux above forest canopies. Half-hour average particle number fluxes above a representative broad-leaved forest in Denmark derived using eddy covariance range from -7x10(7) m(-2) s(-1) (1st percentile) to 5x10(7) m(-2) s(-1) (99th percentile), and have a median value of -1.6x10(6) m(-2) s(-1). The statistical uncertainties associated with the particle number flux estimates are larger than those for momentum fluxes and imply that in this data set approximately half of the particle number fluxes are not statistically different to zero. Particle number fluxes from relaxed eddy accumulation (REA) and eddy covariance are highly correlated and of almost identical magnitude. Flux estimates from the co-spectral and dissipation methods are also correlated with those from eddy covariance but exhibit higher absolute magnitude of fluxes.     

Sensitivity analysis of a parameterization of the stomatal component of the DO3SE model for Quercus ilex to estimate ozone fluxes

A sensitivity analysis of a proposed parameterization of the stomatal conductance (g(s)) module of the European ozone deposition model (DO(3)SE) for Quercus ilex was performed. The performance of the model was tested against measured g(s) in the field at three sites in Spain. The best fit of the model was found for those sites, or during those periods, facing no or mild stress conditions, but a worse performance was found under severe drought or temperature stress, mostly occurring at continental sites. The best performance was obtained when both f(phen) and f(SWP) were included. A local parameterization accounting for the lower temperatures recorded in winter and the higher water shortage at the continental sites resulted in a better performance of the model. The overall results indicate that two different parameterizations of the model are needed, one for marine-influenced sites and another one for continental sites.     

有机物对UF膜过滤通量的影响

采用截留分子量为30000的聚醚砜超滤膜进行膜过滤试验,研究有机物的特性,如亲疏水性以及相对分子质量对超滤膜通量的影响.试验结果表明,过滤亲水性组分时膜通量明显高于过滤疏水性组分.对2种不同水源的试验表明,尽管有机物含量相同,但由于亲疏水性的比例不同,造成的膜通量下降不同.疏水性越大的原水,其膜通量下降也越大.因此,疏水性组分是造成通量下降的主要因素.试验还表明,相对分子质量较大的有机物并非通量下降的主要因素,有机物的分散性可能是影响通量的主要因素.     

屋顶形状对街道峡谷内污染物扩散的影响

采用Spalart-Allmaras湍流模型,通过求解二维连续性方程,Navier-Stokes方程及污染物输运方程,模拟了具有不同屋顶形状的街道峡谷的流场及交通污染物浓度场.计算结果与风洞试验结果总体趋势一致.由于屋顶形状的不同,峡谷内的流场会形成顺时针或逆时针方向的旋涡,从而影响建筑物迎风面与背风面污染物浓度分布.在各种屋顶形状的街道峡谷中,壁面污染物浓度的相对大小与其附近的速度分布有直接关系.通过对街道峡谷建筑屋顶高度处垂直方向污染物通量的计算和比较,说明了不同屋顶形状的街道峡谷平均流扩散和湍流扩散的强弱,污染物湍流扩散通量值有可能为正或为负;同时,峡谷内剩余污染物浓度的大小表明了屋顶形状对污染物扩散出街道峡谷难易的影响.      

湖泊沉积物中磷化氢的释放动力学初探

采用柱状芯样模拟法,研究了太湖沉积物-水界面磷化氢的释放动力学.结果表明:当沉积物-水界面磷化氢的释放达到动态平衡时,水界面中磷化氢的浓度基本不再增大,大约在0.34 pg·l-1左右,此时磷化氢的释放通量约为0.008 pg·dm-2·h-1.根据室内模拟结果,太湖沉积物每年的磷化氢释放量在13.81-49.62 g之间,从而使磷化氢在湖水中的平均浓度达到0.16 pmol·l-1.