The biogeochemical cycles of phosphorus: A review of local and global consequences of the atmospheric input

P‐input from the atmosphere is, in many oligotrophic ecosystems, substantial for the biomass production; in some regions biomass formation may depend fully or partially on the phosphorus input from the atmosphere. As a consequence, phosphorus must be considered as an element participating in cycles involving the atmosphere, like sulfur and nitrogen. Dust and aerosols containing phosphorus are transported worldwide, linking even distant regions. Human activities enhance the amounts of P distributed. Since the concentrations of P in the atmospheric dry and wet input are usually very low, special care in sampling and analysis is a prerequisite to obtain reproducible data. Some values in the literature may be questionable.     

长江中下游地区空气质量的数值模拟研究

根据2002年在ACE-Asia和TRACE-P试验中获得的亚洲区域的污染源排放资料,利用美国EPA最新发展的空气质量模式Models-3,分别模拟研究生物源和人为源排放于2002年7月2日08时至7月3日07时在长江中下游地区引起的O3、SO2、CO以及NOx浓度的变化规律和特征.结果显示,模式对污染物具有很好的模拟能力,无论是污染物浓度的日变化还是PBL层内垂直分布情况,都与已有结论和观测结果一致.     

珠江三角洲大气排放源清单与时空分配模型建立

收集整理2012年珠江三角洲地区(简称“珠江三角洲”)各种大气人为源及天然源基础活动数据,以排放因子法“自下而上”为主计算多污染物排放量,并建立本地化污染物空间分配方案及基于行业排污特征的时间分配谱,构建了具备时空分布属性的区域性网格化大气源排放清单.清单结果显示,2012年珠江三角洲SO2、NOx、CO、PM10、PM2.5、VOCs和NH3排放总量分别为55.2万t、102.9万t、349.2万t、95.2万t、38.5万t、153.9万t和17.7万t. 固定燃烧源是珠江三角洲SO2和NOx的最大排放贡献源,其中电厂和锅炉分别贡献了35.0%和41.8%的SO2排放,以及28.2%和16.2%的NOx排放;VOCs的最大贡献源是过程源,其中家具制造、石油精炼、油气码头排放量总和占比为52.4%;扬尘源是颗粒物的主要来源之一,对PM2.5的排放贡献达42.3%;NH3的主要排放源为畜禽养殖和化肥施用源,两者排放量占比分别为50.7%和26.8%.珠江三角洲大气污染物空间与时间分布结果显示,高排放污染源主要集中于“东莞-广州-佛山”一带,呈半环带状结构分布;白天时段(9:00~20:00)的排放强度明显高于夜晚时段(21:00~次日8:00);夏秋季节(4~10月)的排放强度略高于冬春季节(11月~次年3月).     

Formation of secondary inorganic aerosols by power plant emissions exhausted through cooling towers in Saxony

Background, aim, and scope  The fraction of ambient PM₁₀ that is due to the formation of secondary inorganic particulate sulfate and nitrate from the emissions of two large, brown-coal-fired power stations in Saxony (East Germany) is examined. The power stations are equipped with natural-draft cooling towers. The flue gases are directly piped into the cooling towers, thereby receiving an additionally intensified uplift. The exhausted gas-steam mixture contains the gases CO, CO₂, NO, NO₂, and SO₂, the directly emitted primary particles, and additionally, an excess of ‘free’ sulfate ions in water solution, which, after the desulfurization steps, remain non-neutralized by cations. The precursor gases NO₂ and SO₂ are capable of forming nitric and sulfuric acid by several pathways. The acids can be neutralized by ammonia and generate secondary particulate matter by heterogeneous condensation on preexisting particles. Materials and methods  The simulations are performed by a nested and multi-scale application of the online-coupled model system LM-MUSCAT. The Local Model (LM; recently renamed as COSMO) of the German Weather Service performs the meteorological processes, while the Multi-scale Atmospheric Transport Model (MUSCAT) includes the transport, the gas phase chemistry, as well as the aerosol chemistry (thermodynamic ammonium–sulfate–nitrate–water system). The highest horizontal resolution in the inner region of Saxony is 0.7 km. One summer and one winter episode, each realizing 5 weeks of the year 2002, are simulated twice, with the cooling tower emissions switched on and off, respectively. This procedure serves to identify the direct and indirect influences of the single plumes on the formation and distribution of the secondary inorganic aerosols. Results and conclusions  Surface traces of the individual tower plumes can be located and distinguished, especially in the well-mixed boundary layer in daytime. At night, the plumes are decoupled from the surface. In no case does the resulting contribution of the cooling tower emissions to PM₁₀ significantly exceed 15 μgm⁻³ at the surface. These extreme values are obtained in narrow plumes on intensive summer conditions, whereas different situations with lower turbulence (night, winter) remain below this value. About 90% of the PM₁₀ concentrations in the plumes are secondarily formed sulfate, mainly ammonium sulfate, and about 10% originate from the primarily emitted particles. Under the assumptions made, ammonium nitrate plays a rather marginal role. Recommendations and perspectives  The analyzed results depend on the specific emission data of power plants with flue gas emissions piped through the cooling towers. The emitted fraction of ‘free’ sulfate ions remaining in excess after the desulfurization steps plays an important role at the formation of secondary aerosols and therefore has to be measured carefully.     

Methane Fluxes in West Siberia: 3-D Regional Model Simulation

The West Siberian region is one of the main contributors of theatmospheric greenhouse gas methane due to the large areas ofwetlands, rivers, lakes and numerous gas deposits situated there.But there are no reliable estimations of integral methane flux fromthis area into the atmosphere. For assessment of methane fluxes inWest Siberia the specially constructed 3-D regional chemicaltransport model was applied. The 3-D distribution of methane iscalculated on the basis of the current meteorological data fields(wind, temperature, geopotential) updated 4 times a day. The methaneconcentrations measured near the main gas fields of West Siberia inthe summer season of 1999, were used for correction of methane fluxintensity estimates obtained previously by comparison ofmeasurements carried out in summer 1993 and 1996 with modelledmethane mixing ratio distribution. This set of field and modelexperiments confirmed the preliminary conclusion about low leakageintensity: anthropogenic methane flux does not exceed 5–15% oftotal summer methane flux, estimated as 11–12 Mt CH₄ in summer from this region, in spite of the large areas of gas deposits located there.     

不同酸性气体及相对湿度对海盐氯损耗过程的影响

使用在广州南村站、深圳竹子林站及西涌站的MARGA仪器实测资料,分析了不同酸性气体及相对湿度对海盐氯损耗过程的影响.在分析深圳竹子林站、西涌站的海盐氯损耗中发现,竹子林站氯损耗平均为48.0％,西涌站海盐氯损耗平均为56.9％,氯损耗的峰值一般出现于下午14时.西涌站、竹子林站和广州南村站酸性气体和碱性气体均以HNO2、SO2、NH3为主,但各站点的比例分布不同,西涌站以HNO2最多(42％),SO2(32％)次之;竹子林站以NH3与SO2为主,百分比分别为36％和34％;广州南村站以SO2为主(58％),NH3次之(20％);而三站HNO3所占比例很小,均为7％.另外,分析了HCl的来源,主要关注了海盐粒子中的NaCl与HNO3反应、NH4Cl的挥发及H2SO4与NaCl的反应这3个来源,发现西涌站与竹子林站HCl和HNO3之间的线性关系较好(R2西涌=0.689,R2竹子林=0.594),说明西涌站与竹子林站的HCl主要来源于NaCl与HNO3反应过程中Cl被HNO3置换而成;而广州南村站二者线性关系较差(R2南村=0.295),说明还存在其他的损耗机制.在研究相对湿度对氯损耗的影响中发现,相对湿度低时氯损耗更容易发生.     

德兴地区土壤重金属人为污染的地球化学评价

在系统采集德兴地区表层土壤样品的基础上,采用标准化方法确定了该区Cu、Pb、Zn、Cr、Cd、Hg、As的地球化学基线值,并采用富集因子对表层土壤的人为污染进行了地球化学评价.结果表明:1)土壤中7种重金属元素的基线值较江西省土壤背景值高;2)土壤中As、Hg、Cd、Cr、Pb、Zn的人为污染以轻微污染为主,Cu的人为污染为轻微污染和中度污染,人为污染的区域主要分布在德兴铜矿及其周边地区;3)土壤重金属污染源判别表明,Pb、Zn、Cd具有相似的来源,其污染与铅锌矿的采矿及冶炼活动有关,Cu的来源与德兴铜矿的采矿活动有关,其他重金属来源差异较大.     

城市污水处理厂生成的微生物气溶胶的污染特性

为探明城市污水厂生成的微生物气溶胶的污染特性,于2011年6～7月利用Andersen六级撞击式采样器对西安市第三污水处理厂不同污水处理单元的微生物气溶胶进行现场采样,利用平皿培养和菌落计数法检测分析了细菌、真菌和放线菌这3类微生物气溶胶的浓度、粒径分布和中值直径.结果表明,污水处理厂污泥脱水车间的细菌和放线菌气溶胶浓度最高,分别为7 866 CFU.m-3±960 CFU.m-3和2 139 CFU.m-3±227 CFU.m-3,而真菌气溶胶浓度最高出现在氧化沟,为2 156 CFU.m-3±119 CFU.m-3.细菌、真菌和放线菌气溶胶粒径分布均呈偏态型,其中细菌和真菌的粒径分布峰值出现在2.1～3.3μm范围,而放线菌气溶胶粒径分布峰值出现在1.1～2.1μm范围.总体上,污水厂中细菌气溶胶中值直径>真菌气溶胶中值直径>放线菌气溶胶中值直径.另外,微生物气溶胶的空间变化特征表现为粒径大的微生物气溶胶浓度减少率大.3类微生物气溶胶浓度减少率的变化程度从大到小依次为细菌>真菌>放线菌.     

冠状病毒气溶胶传播及环境影响因素

当前,新型冠状病毒肺炎正在全球大范围流行,严重影响了人类健康和生产生活.目前已明确的新型冠状病毒的传播途径包括飞沫传播和接触传播,一些传播感染事件的研究间接证明新型冠状病毒可以通过空气传播,然而对于新型冠状病毒通过气溶胶传播机制的认识仍然不足,其对疾病传播的相对贡献等还在研究和论证中.本文分析了引起重症急性呼吸综合征、中东呼吸综合征和新型冠状病毒肺炎的不同冠状病毒通过气溶胶传播的研究结果,评述了病毒气溶胶的产生机制、病毒气溶胶的空气动力学特征、冠状病毒在气溶胶中的存活规律及环境因素的影响、以及冠状病毒在室内外环境气溶胶中的赋存和传播情况,探讨了当前对于明确新型冠状病毒的气溶胶传播研究的不足以及跨学科研究的展望.