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.     

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.     

淮河流域旱涝易发区农田的陆气相互作用——CO_2通量、能量交换和水汽输送的季节变化特征

利用淮河流域旱涝易发区的安徽省寿县农田下垫面陆气相互作用观测试验资料,重点分析观测期内CO2通量、能量交换和水汽输送的季节变化,并讨论了与此有关的辐射分量通量、下垫面反射率、波恩比、能量闭合守恒、土壤温度和土壤湿度的季节变化。结果表明:CO2通量、能量分配受地表农作物长势影响明显,其中,水稻灌浆、成熟期,被稻田吸收的CO2通量最大可超过2 mg.m-2.s-1,潜热通量达到正的极大值。稻田光合作用最旺盛时期吸收的CO2通量和释放的潜热通量均大于小麦田光合作用最旺盛时期的对应量。较大土壤热通量对应于较低的土壤水含量。试验观测期的下垫面平均反射率为0.14。作物生长期,稻田表面潜热是下垫面吸收能量的主要消费者,小麦田表面潜热和感热相当。能量闭合率ε的变化范围为0.4~1。     

珠江三角洲典型生态系统有机含硫气体地气交换通量比较

选取珠江三角洲森林、稻田和城市草地和菜地为研究对象,运用静态箱法,测量土壤COS、DMS、CS2和DMDS通量,并分析了环境因子对含硫气体交换速率的影响。结果表明,稻田和菜地交换速率最大,城市草地次之,森林土壤交换速率最小。森林土壤吸收COS,释放DMS,有凋落物土壤气体交换速率高于无凋落物土壤,CS2和DMDS源与汇存在很大不确定性。森林COS通量受温度、土壤含水量、土壤肥力、土壤微生物和土壤呼吸的共同影响;有水稻稻田吸收COS,无水稻稻田释放COS,有水稻稻田DMS释放速率显著高于无水稻稻田。干旱稻田土壤吸收COS,水淹土壤释放COS,但DMS、CS2和DMDS释放速率两者间无显著影响;城市草地吸收COS释放DMS,CS2和DMDS存在不确定性,有草土壤COS和DMS交换速率高于无草土壤,割草前后气体释放速率无显著变化;菜地释放VOSCs,其中DMDS占75%。     

油菜地CO2、N2O排放及其影响因素

2005年11月至2006年5月采用静态箱法对成都平原典型水稻 - 油菜轮作区油菜地CO2、N2O排放通量进行原位测定.结果表明,CO2排放通量为121.4～1 585.8 mg·m-2·h-1,平均656.8 mg·m-2·h-1;N2O排放通量为18.0～521.0 μg·m-2·h-1,平均168.0 μg·m-2·h-1.在整个油菜生长期内,地下5 cm土壤温度与CO2、N2O排放通量之间呈指数函数关系.3种不同处理油菜地CO2、N2O排放通量均为常规处理＞无氮处理＞裸地处理.土壤温度、施氮和植物生长是影响油菜地CO2、N2O排放的主要因素.     

种稻土壤CH4排放规律的研究

通过盆栽试验研究了水稻生长期CH4排放的规律。结果表明,CH4排放存在明显的日变化,最大值出现在下午4点左右,最小值出现在凌晨4点左右。土壤温度的变化是导致CH4排放日变化的主要因素。水稻生长期CH4排放的季节变化受前茬季节作物种植及稻草还田时间的显著影响。前茬季节种植紫云英及休闲且水稻移栽前施用稻草处理在水稻生长初期即有大量CH4排放,且在水稻生长的前期、中期和后期分别出现3个CH4排放峰;前茬季节种植小麦和休闲且在前茬季节前施用稻草处理的,直至水稻生长的中期才有少量CH4排放。烤田期间CH4的排放峰值出现在土壤呈微于松软状态时;烤田至土壤干裂时,CH4排放通量降至零。     

城市地表汞含量及释放通量影响因素分析

测定了长春市不同类型地表汞含量及其释放通量，分析了地表汞释放通量的影响因素。研究结果表明，不同地表土样的汞含量存在很大的差异；煤炭堆放地和沥青地地表汞含量较高，应引起足够的重视。地表汞释放通量受地表汞含量、地表类型、降水、太阳辐射等因素的影响。降水期间或降水后期地表汞释放通量明显增加。可见，地表汞释放是一个动态过程，随时间和空间而变化。     

植物对沼泽湿地生态系统N2O排放的影响

利用静态暗箱/气相色谱法连续3个生长季(2003-2005年)对三江平原小叶章草甸和毛果苔草沼泽N2O排放通量进行野外对比观测试验.结果表明,植物不同生长阶段对湿地生态系统N2O排放通量的影响不尽相同.植物的参与促进了湿地生态系统N2O的排放,2003-2005年生长季小叶章草甸土壤-植物系统N2O排放通量分别是土壤表观N2O排放通量的1.58倍、2.09倍和2.34倍,同期毛果苔草沼泽土壤-植物系统N2O排放通量分别是土壤表观N2O排放通量的1.86倍、1.50倍和1.33倍.3个生长季小叶章草甸N2O排放通量均大于毛果苔草沼泽,这主要是由土壤理化性质的空间变异性以及水文情况的差异造成的.     

内蒙古典型草原土壤不同剖面深度CO_2通量格局及其驱动因子

土壤CO2的释放能够显著增加大气牛CO2的浓度,增强温室效应,从而对全球气候和环境变化产生重要影响.但是,不同的土壤层对CO2通量的贡献量有很大的差异.文章通过挖坑法结合红外气体分析法研究了内蒙古草原典犁针茅(Stipa krylovii)群落和羊草(Leymus chinensis)群落不同剖面深度土壤CO2通量格局以及影响CO2通量的驱动因素.结果表明,表层土壤移走后,土壤CO2通量的变化可分为瞬时、短期、长期三种格局.新剖面上最初的0～21 min内释放的CO2通量最均大于初始土壤表层CO2通量,而且两者比值随土壤深度增加而增大,也随土壤CO2生产能力增强而增大.2～4 d后,新剖面CO2通量持续下降至低于初始土壤表层CO2通量的水平.形成短期稳定状态.更长时间后,新剖面则逐渐表现出与初始土壤剖面表层相近的CO2通量特征.我们认为,(1)在新剖面形成时的CO2通量瞬时和短期格局主要受土壤中存留的原始CO2的浓度及其扩散过程控制,(2)长期格局则由资源水平和环境条件共同决定的土壤CO2生产能力主导.文章进一步揭示了建立包含垂直分层的SOC分解和CO2扩散过程的生态系统模型的必要性.