珠三角一次重空气污染过程特征分析及数值模拟

以珠江三角州地区(珠三角)2009年11月23─29日一次重空气污染过程为例,利用常规观测资料及中尺度气象模式(MM5)、污染源排放模式(SMOKE)和空气质量模式(CMAQ)的模拟,研究此次重空气污染过程的特征. 结果表明,造成此次重污染的主要原因有:①前期高压脊带来的稳定层结和静小风条件使得大气污染物逐日累积,难以扩散;②西太平洋台风向南海附近发展移动时,其外围下沉气流导致珠三角大气污染物向低层输送并积累. 珠三角区域污染分布特征表明,广州和佛山的本地贡献明显,而肇庆等地受外地源输送的影响更为显著.      

沈阳地区霾的环境特征研究

利用沈阳市1961—2009年的气象资料,分析了霾天气出现的年季特征及其天气形势特征。利用边界层气象资料与污染物质量浓度资料对特定的霾过程从边界层到污染物质量浓度条件进行了分析。结果表明：沈阳地区霾的出现呈现逐年上升的趋势,近5 a平均每年为120 d左右,目前霾天数已经占到了全年的30%~40%。冬秋季节出现霾天气较多,秋冬两季霾日数占全年霾日总数的75%。凌晨到上午是霾出现的高发期,02—08时霾出现频率占总霾数的44.5%。霾的出现主要发生在冬秋季节冷空气势力不强,大气扩散能力较弱,边界层出现逆温时刻。接地逆温层厚度常常稳定在200~300 m高度左右,PM10质量浓度与能见度（霾）呈负相关,相关系数-0.402 7。风速与能见度（霾）呈正相关,相关系数为0.886 4。     

混合层深度对藻类生长的影响研究

三峡水库蓄水后,支流库湾频繁暴发水华.为研究水华暴发关键因子,以临界层理论为指导,于2012年初冬季,在香溪河野外观测站建立围隔实验系统,研究水体混合对藻类生长的影响机制.围隔水下深度按梯度布设,表底掺混均匀,并注入由浮游动物网过滤的低Chl-a浓度的香溪河河水.结果表明,Zeu/Zmix(真光层深度与混合层深度之比)>1的围隔藻类生长迅速并暴发水华,Chl-a浓度最高达到90 mg·m-3,反之生长缓慢.临界层理论适用于本实验,Zeu/Zmix也存在一个临界值,低于临界值浮游植物生长会受光限制而不易暴发水华;在临界层理论的基础上,分析得藻类净初级生产力与Zmix存在负相关关系,即Zmix越小藻类净初级生产力越大.     

极地冻土低温力学特性及井眼坍塌风险分析*

为解决极地冻土区油气资源储量极大但其力学特性和钻井井壁失稳机理尚不清晰的问题,对冻土岩样开展低温三轴力学特性实验,并基于此开展钻井井壁坍塌失稳相关数值模拟分析。结果表明:冻土的极限强度会随温度的降低和围压的增大而逐渐提高;冻土弹性模量尽管会随温度的降低而增加,但受围压影响较小,而泊松比基本不受温度及围压的影响;冻土内聚力会随实验温度的降低得到较大幅度提升,但不同实验温度范围内温度对冻土内聚力的影响程度存在差异,实验温度高于-12.5 ℃时温度对冻土内聚力的影响较强;极地冻土储层钻井过程近井地带冰的分解会随钻井作业的进行而逐渐变慢,冰的最终分解前缘位置为0.079 6 m,井眼扩大率达到63.51%。研究结果可为极地冻土层油气资源钻井作业设计提供参考与指导。     

车载激光雷达对北京地区边界层污染监测研究

介绍了自行研制的车载差分激光雷达AML-2探测原理及技术参数,于2006-08、2006-09在不同天气因素条件下对北京西南郊榆垡地区大气边界层污染物O3、NO2、SO2进行了实时监测,对比分析了3种污染物浓度垂直分布及日变化特征.结果表明,无外来污染输送时,3种污染物在阴雨天气总体浓度较小,O3和NO2浓度随高度升高而减小,SO2浓度垂直分布少见此特征,但在近地面0.6 km左右有较强SO2污染层.南部气流输送对北京地区大气环境影响明显,2006-08-23～2006-08-25这次强污染气流输送高度约1～1.5 km,3种污染物浓度垂直分布及日变化特征受到干扰,北京榆垡地区边界层O3、NO2、SO2总体浓度明显上升.     

静电除尘器的粉尘非稳态收集过程

为了全面揭示电除尘器粉尘非稳态收集过程,建立完整的非稳态静电收尘理论,根据静电学基本原理,研究了极板粉尘层电荷导人、积累、释放的过程,推导出随粉尘层厚度增长而改变的动态收尘电场强度计算公式,进而得到荷电粒子动态驱进速度公式,最终形成静电除尘非稳态收集理论.研究结果表明,在静电收尘过程中,粒子驱进速度与粉尘比电阻、工作电压、粉尘层厚度等多种因素有关;随粉尘比电阻的升高,收尘效率下降,当供电电压为最佳工作电压时收尘效率最高.针对不同比电阻粉尘进行了多项实验研究,实验结果与理论研究结果吻合.非稳态静电收尘理论成功地解释了实际静电收尘过程中与传统静电收尘理论相矛盾的地方,为静电除尘器的设计及其运行参数的选取提供了更为科学的理论基础.     

Sudden high concentration of TSP affected by atmospheric boundary layer in Seoul metropolitan area during duststorm period

Hourly concentrations of TSP, PM(10), PM(2.5) near the surface at Seoul city were examined from March 20 to March 25, 2001 (duststorm event) in order to investigate the effect of a duststorm generated in China on the local aerosol concentration in Korea, The ratios of fine to coarse particles such as TSP to PM(10), TSP to PM(2.5) and PM(10)-PM(2.5) to PM(2.5) showed that a great amount of dust transported from the origin of the duststorm was remarkable with a maximum ratio of 9.77 between TSP and PM(2.5). Back trajectories every 6 h showed the movement of dust particles in the lower atmosphere near 500 m to 1500 m (atmospheric boundary layer), which implied transport from Baotou in inner Mongolia of northern China to the direction of Seoul city in Korea and then the back trajectories passed near the southern border of Mongolia and Baotou through Zengzhou in the midlevels (3000 m) and low levels (500 m) of China, finally reaching Seoul city. So, the TSP concentration at Seoul city was partially influenced by the duststorm, under the prevailing westerly wind and the transported aerosols could influence high concentrations of pollutants of TSP, PM(10) and PM(2.5) in Seoul. The sudden high concentrations of TSP and PM(10) were found for a few hours, especially at 1500 to 1800 LST, March 22. At 1200 LST, before the passage of a cold front through the Korean peninsula, the convective boundary layer (CBL) near Seoul was not shallow, but at 1500 LST, under the frontal passage, the CBL was remarkably thinner (less than 300 m), due to the compression of the boundary layer by the intrusion of cold air. This resulted in the increase of the TSP concentration, even though the mixed layer above maintained almost the same depth. At 1800 LST shortly after the frontal passage, that is, near sunset, the nocturnal cooling of the ground caused air parcels to cool, thereby enhancing the shallower nocturnal surface inversion layer and producing the maximum concentration of TSP of 1388 microg/m(3) near Seoul city.     

A quantitative estimate of potential aluminium recovery from incineration bottom ashes

The recovery of ferrous and non ferrous metals from the bottom ashes is a common practice in the most part of Europe, both for the environmental advantages of their recycle and to avoid problems of swelling and expansion that metals can cause when bottom ashes are reused in concrete production or in road construction. This paper focuses on metal recovery from bottom ashes produced in Municipal Solid Waste (MSW) incinerators, with a particular focus on aluminium. A forecasting model was developed in order to evaluate the quantity of aluminium scraps recoverable from the bottom ashes. The model was applied to the Italian situation but its validity can be extended to other countries. Focusing on Italy, by applying conventional technologies for the separation of non-ferrous metals, the amount of aluminium potentially recoverable from bottom ashes is estimated in the range from 16,500 to 21,000 tonnes at the year 2015, and from 19,000 to 28,500 tonnes at 2020.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

厚煤层分层综采工作面的瓦斯治理

结合矿井瓦斯管理的实际,介绍了高瓦斯厚煤层分层综采工作面瓦斯治理的技术经验,具有很强的针对性和可操作性,实现了矿井在特殊阶段的安全生产.