Ionic composition of TSP and PM2.5 during dust storms and air pollution episodes at Xi'an,China

TSP and PM_2.5 samples were collected at Xi'an, China during dust storms (DSs) and several types of pollution events, including haze, biomass burning, and firework displays. Aerosol mass concentrations were up to 2 times higher during the particulate matter (PM) events than on normal days (NDs), and all types of PM led to decreased visibility. Water-soluble ions (Na⁺, NH₄⁺, K⁺, Mg²⁺, Ca²⁺, F^?, Cl^?, NO₃^?, and SO₄^2?). were major aerosol components during the pollution episodes, but their concentrations were lower during DSs. NH₄⁺, K⁺, F^?, Cl^?, NO₃^?, and SO₄^2? were more abundant in PM_2.5 than TSP but the opposite was true for Mg²⁺ and Ca²⁺. PM collected on hazy days was enriched with secondary species (NH₄⁺, NO₃^?, and SO₄²) while PM from straw combustion showed high K⁺ and Cl^?. Firework displays caused increases in K⁺ and also enrichments of NO₃^? relative to SO₄^2?. During DSs, the concentrations of secondary aerosol components were low, but Ca²⁺ was abundant. Ion balance calculations indicate that PM from haze and straw combustion was acidic while the DSs samples were alkaline and the fireworks' PM was close to neutral. Ion ratios (SO₄^2?/K⁺, NO₃^?/SO₄^2?, and Cl^?/K⁺) proved effective as indicators for different pollution episodes.     

Concentrations,seasonal variations,and transport of carbonaceous aerosols at a remote Mountainous region in western China

Carbonaceous aerosol concentrations were determined for total suspended particle samples collected from Muztagh Ata Mountain in western China from December 2003 to February 2006. Elemental carbon (EC) varied from 0.004 to 0.174 μg m^?3 (average = 0.055 μg m^?3) while organic carbon (OC) ranged from 0.12 to 2.17 μg m^?3 and carbonate carbon (CC) from below detection to 3.57 μg m^?3. Overall, EC was the least abundant fraction of carbonaceous species, and the EC concentrations approached those in some remote polar areas, possibly representing a regional background. Low EC and OC concentrations occurred in winter and spring while high CC in spring and summer was presumably due to dust from the Taklimakan desert, China. OC/EC ratios averaged 10.0, and strong correlations between OC and EC in spring–winter suggest their cycles are coupled, but lower correlations in summer–autumn suggest influences from biogenic OC emissions and secondary OC formation. Trajectory analyses indicate that air transported from outside of China brings ～0.05 μg m^?3 EC, ～0.42 μg m^?3 OC, and ～0.10 μg m^?3 CC to the site, with higher levels coming from inside China. The observed EC was within the range of loadings estimated from a glacial ice core, and implications of EC-induced warming for regional climate and glacial ice dynamics are discussed.     

Optimal temporal scale for the correlation of AOD and ground measurements of PM2.5 in a real-time air quality estimation system

Aerosol optical depth (AOD), an indirect estimate of particulate matter using satellite observations, has shown great promise in improving estimates of PM_2.5 (particulate matter with aerodynamic diameter less than or equal to 2.5 μm) surface. Currently, few studies have been conducted to explore the optimal way to apply AOD data to improve the model accuracy of PM_2.5 in a real-time air quality system. We believe that two major aspects may be worthy of consideration in that area: 1) an approach that integrates satellite measurements with ground measurements in the estimates of pollutants and 2) identification of an optimal temporal scale to calculate the correlation of AOD and ground measurements. This paper is focused on the second aspect, identifying the optimal temporal scale to correlate AOD with PM_2.5. Five following different temporal scales were chosen to evaluate their impact on the model performance: 1) within the last 3 days, 2) within the last 10 days, 3) within the last 30 days, 4) within the last 90 days, and 5) the time period with the highest correlation in a year. The model performance is evaluated for its accuracy, bias, and errors based on the following selected statistics: the Mean Bias, the Normalized Mean Bias, the Root Mean Square Error, Normalized Mean Error, and the Index of Agreement. This research shows that the model with the temporal scale: within the last 30 days, displays the best model performance in a southern multi-state area centered in Mississippi using 2004 and 2005 data sets.     

ABR反应器的两种快速启动方法对比

ABR反应器的启动是ABR反应器能否高效稳定运行的关键,其影响因素很多。为了更好地实现ABR反应器的启动,提出了通过2种不同启动方法的对比,即1^#反应器采用好氧预挂膜的方法,2^#反应器采用低负荷启动法,得出的结论为,好氧预挂膜启动法的启动时间短,COD去除率高,出水pH稳定,颗粒状污泥生长情况较好,是一种可推广的启动方法。     

微生物絮凝剂改善城市污水厂浓缩污泥脱水性能的研究

采用酱油曲霉(Aspergillus sojae)产生的微生物絮凝剂(MBF)作为污泥絮凝脱水剂,对城市污水处理厂浓缩污泥进行调理,确定该絮凝剂对浓缩污泥脱水的处理工艺参数为：微生物絮凝液最佳投加体积为6%～8%（体积比）,发挥絮凝作用的最适污泥温度为28～32℃,最适pH为6～7。经微生物絮凝剂调理的污泥在3 000 r/min离心9 min,污泥脱水率高达82.7%,滤饼含水率降低至77.3%,污泥脱水后体积减至原来的1/5左右。     

脉冲电晕反应器结构对乙硫醇消除效果的影响

研究了脉冲电晕等离子体反应器结构的变化对乙硫醇消除效果的影响规律。结果表明,在反应器内设置折流板,可以增加气流的湍动程度,有利于活性粒子与污染物的充分接触,从而提高消除率。高压电极间距对电晕区范围及消毒效果有较大影响,间距较小将导致各电极产生的电场相互干扰明显,消除率减小;而电极间距过大,虽然电极间电场分布相互干扰小,但是反应器内可排布的电极数减少,总电晕区减少,消除率也减小。根据实验结果,电极间距设置为50 mm比较合理。另外,在相同的电场强度和脉冲频率下,毛刺形高压电极比线电极结构能耗低,能量利用率高。     

硝酸盐对反硝化除磷过程的影响分析

在厌氧/缺氧间歇反应器内考察了硝酸盐进水浓度及进水方式对反硝化除磷过程的影响。结果表明：在缺氧阶段,反硝化除磷菌(DPBs)可将硝酸盐转化为亚硝酸盐,当硝酸盐浓度较低时,DPBs以亚硝酸盐为电子受体吸磷。进水COD浓度为220 mg/L,正磷浓度为6.8 mg/L,硝酸盐初始浓度为26 mg/L时,系统达到最佳脱氮除磷效果,期间亚硝酸盐浓度积累至10.71 mg/L。采用连续流投加硝酸盐的方式更利于氮磷的高效去除。     

1，4-二氯苯降解菌的分离及其降解特性研究

从某污水处理曝气池的活性污泥中分离出一株能够以1,4-二氯苯为唯一碳源和能源生长的菌株DEB-1,通过形态特征和生理生化试验初步鉴定为黄杆菌属（Flavobacterium sp.）。实验结果表明,该菌株最适降解温度为32℃、最适降解pH为7.8,24 h对100 mg/L的1,4-二氯苯的降解率达94.5%。菌株DEB-1的降解谱较广,对5种氯苯类物质具有较高的降解率。并进一步研究了DEB-1的1,4-二氯苯降解酶粗酶液的性质,其最适反应温度和pH分别为30℃和8.5。对处理含氯代芳香化合物的有机废水具有一定的意义。     

超声波辅助提取杜仲籽油的工艺优化

以杜仲籽为原料,应用超声波辅助法提取杜仲籽油.在单因素试验的基础上,通过正交试验确定了超声波辅助提取杜仲籽油的较佳工艺条件.结果表明,杜仲籽油的较佳提取工艺条件为料液比12ml/g,提取温度50℃,提取时间15min,超声波功率225W,在该条件下杜仲籽油得率27.24%.     

黑龙江省土地生态安全评价

土地是我们人类赖以生存和发展的物质基础,土地生态安全关系到我们人类的生存和发展.以黑龙江省为例,探讨土地生态安全评价方法.针对黑龙江省土地利用现状特点从经济、社会、生态环境三个方面构建土地生态安全评价指标体系.鉴于土地生态安全评价的模糊性和不确定性,将熵值理论和物元理论相结合构建土地生态安全评价模型,并根据此模型从宏观上对2000-2006年黑龙江省土地生态安全程度进行评价.结果表明:①2000-2006年黑龙江省土地生态均处于较安全水平;②2000-200:3年黑龙江土地生态安全水平为负值,2004-2006年为正值,说明其土地生态安全水平不断提高,土地生态安全环境不断改善;③同时存在水土流失治理率、耕地有效灌溉率、第三产业占GDP比重偏低及万元GDP能耗和城镇登记失业率偏高等不安全因素,威胁土地生态安全.