2016—2017年武汉市城区大气PM2.5污染特征及来源解析

利用2016年1月至2017年9月湖北省环境监测中心站大气复合污染自动监测站的在线监测数据，对武汉市城区PM_2.5的污染特征及主要来源进行解析。结果表明，武汉市城区PM_2.5质量浓度呈现出明显的季节差异，季节变化规律为冬季>春季>秋季>夏季。水溶性离子的主要成分SO₄^2-、NO₃^-和NH₄⁺占总离子质量浓度的82.0%。PM_2.5中阴离子相对阳离子较为亏损，颗粒整体呈碱性。夏季气态污染物的氧化程度较高且SO₂较NO₂氧化程度高。后向轨迹分析结果表明，区域传输是武汉市PM_2.5的一个重要来源，在4个典型重污染阶段，武汉市分别受到局地、东北、西北及西南方向气团传输的影响。PMF模型解析出武汉市PM_2.5五大主要来源及平均贡献率：扬尘22.0%、机动车排放27.7%、二次气溶胶21.6%、重油燃烧14.9%和生物质燃烧13.8%。     

基于贝叶斯网络气化炉供料系统风险分析

为解决当前气化炉供料系统风险分析不完善的状况，提出1种基于贝叶斯网络和HAZOP的风险分析模型。以某单日投煤量3 000 t级气化炉煤化工企业实际运行情况为研究对象，应用HAZOP法对其进行风险分析，并将HAZOP分析结果中各偏差产生原因转化为贝叶斯网络节点；考虑到先验知识的缺乏问题，引入Leaky Noisy OR模型，通过文献资料和相关领域专家经验知识获得先验概率，并利用贝叶斯网络进行风险分析，找出系统运行的薄弱环节。结果表明:未知因素影响会使各节点的后验概率值差异性降低，更加贴合实际；在引入未知因素影响后，系统运行薄弱环节并未发生改变。     

Direct N2O decomposition over La2NiO4-based perovskite-type oxides

Direct decomposition of N₂O by perovskite-structure catalysts including La₂NiO₄, LaSrNiO₄, and La_0.7Ce_0.3SrNiO₄ was investigated. The catalysts were prepared by the Pechini method and characterized by x-ray diffraction (XRD), BET, scanning electron microscopy (SEM), and O₂-TPD. Experimental results indicate that the properties of La₂NiO₄ are significantly improved by partially substituting La with Sr and Ce. N₂O decomposition efficiencies achieved with LaSrNiO₄ and La_0.7Ce_0.3SrNiO₄ are 44 and 36%, respectively, at 400ºC. As the temperature was increased to 600ºC, N₂O decomposition efficiency achieved with LaSrNiO₄ and La_0.7Ce_0.3SrNiO₄ reached 100% at an inlet N₂O concentration of 1,000 ppm, while the space velocity was fixed at 8,000 hr^?1. In addition, effects of various parameters including oxygen, water vapor, and space velocity were also explored. The results indicate that N₂O decomposition efficiencies achieved with LaSrNiO₄ and La_0.7Ce_0.3SrNiO₄ are not significantly affected as space velocity is increased from 8,000 to 20,000 hr^?1, while La_0.7Ce_0.3SrNiO₄ shows better tolerance for O₂ and H₂O_(g). On the other hand, N₂ yield with LaSrNiO₄ as catalyst can be significantly improved by doping Ce. At a gas hour space velocity of 8,000 hr^?1, and a temperature of 600ºC, high N₂O decomposition efficiency and N₂ yield were maintained throughout the durability test of 60 hr, indicating the long-term stability of La_0.7Ce_0.3SrNiO₄ for N₂O decomposition.

Implications:Nitrous oxide (N₂O) not only has a high global warming potential (GWP₁₀₀ = 310), but also potentially destroys ozone in the stratosphere. Pervoskite-type catalysts including La₂NiO₄, LaSrNiO₄, and La_0.7Ce_0.3SrNiO₄ are applied for direct N₂O decomposition. The results show that N₂O decomposition can be enhanced as Sr and Ce are doped into La₂NiO₄. At 600ºC, N₂O decomposition efficiencies achieved with LaSrNiO₄ and La_0.7Ce_0.3SrNiO₄ reach 100%, demonstrating high activity and good potential for direct N₂O decomposition. Effects of O₂ and H₂O_(g) contents on catalytic activities are also evaluated and discussed.     

1990~2013年来洞庭湖区鸟类生物多样性热点区时空动态及变动机理

评估与确定生物多样性分布格局与热点区是建立保护区、制定生物保护决策的基础。洞庭湖地区位处长江中游，是我国重要的淡水湖泊湿地生态系统，为中国乃至亚洲较大的鸟类越冬地之一。以洞庭湖地区14种Ⅰ、Ⅱ级重点保护鸟类为指示物种，基于1990~2013年间的多期遥感影像，运用物种生境分布MAXENT模型，选取地形、水系、植被、气候及人类干扰等共35个影响因子，对其进行生境适宜性评价及生物多样性热点区的筛选与制图，并对热点区时空动态特征进行分析。结果表明：（1）鸟类生物多样性热点区的分布范围呈现出组团状特征，1990~2013年来，热点区面积呈下降趋势；（2）鸟类栖息生境景观格局总体上趋于破碎，生境形状向简单且扁平化形态转变，生境格局呈复杂化；（3）经济与社会发展因素对研究区的鸟类生物多样性热点区变化影响显著，而自然因素产生的影响不明显。研究结果在制定区域生物多样性保护规划方案中可体现较好应用价值。     

苦草(Vallisneriaspiralis)对城市缓流河道黑臭底泥理化性质的影响

以苦草(Vallisneria spiralis)和城市缓流河道黑臭底泥为研究对象采用模拟实验方法,探讨了苦草对城市缓流河道黑臭底泥理化性质的影响.结果表明,苦草可以显著改善城市缓流污染河道底泥氧化还原环境.实验期间表层底泥Eh从-70 mV升高至90 mV;减少致黑物质亚铁的含量,实验组表层底泥降低25%,而对照却升高38%;促进铁、硫的自然循环,防止亚铁、H2S的累积;明显改善底泥黑臭现象,实验组表层底泥第7 d出现约3 mm厚灰黄色氧化层,氧化层随时间推移逐渐增厚,第28 d厚度为11 mm.该氧化层无明显恶臭气味.对照则在实验第14 d出现1 mm氧化层并维持至实验结束,期间恶臭气味未消减;种植苦草可显著提高沉积物致密程度,降低底泥含水率,有效改善表层底泥流动状态,且在段头浜、河湾、人工湿地景观等处不影响防汛等功能,对减少河道底泥冲刷迁移和抑制黑臭物质悬浮具有积极的生态学意义.     

太湖两种水生植物群落对沉积物中氮素的影响

2012年6月对太湖贡湖湾、南部湖区以及东西山之间水域的两种水生植物——马来眼子菜(Potamogeton malaianus)和荇菜(Limnanthemun nymphoides)群落内外的沉积物进行样品采集,调查了沉积物中的氮素分布现状.结果表明:①草藻过渡型湖区(贡湖湾)马来眼子菜群落内部0~25 cm的沉积物中Org-N和TN的含量分别比群落外部高38.06%和25.65%.②草型湖区新生植物群落的形成可以促进沉积物(0~25 cm)中各形态氮含量的降低,其中马来眼子菜群落内沉积物(0~25 cm)中TN、Org-N、NH+4-N和NO-3-N的含量较群落外平均降低了43.29%,50.78%,7.09%和10.86%;荇菜群落内部比外部分别降低了4.65%,4.63%,5.01%和2.76%,可以发现马来眼子菜群落的促进作用比荇菜群落明显.③植物群落的存在可以影响沉积物的理化性质.相关性分析显示,植物群落外沉积物的pH与TN显著正相关(P<0.05,n=24),植物群落内部沉积物中pH与沉积物中NH+4-N呈显著负相关(P<0.05,n=24),与硝态氮呈显著正相关(P<0.05,n=24);植物群落内部和外部沉积物的Eh均与TN显著正相关(GMN,P<0.01,R=0.922 8**;NMN,P<0.01,R=0.827 7**;GMW,P<0.05,R=0.748 9*;NMW,P<0.05,R=0.663 7*),但较群落外部而言内部的相关性更强.     

Anaerobic degradation of microcrystalline cellulose: kinetics and micro-scale structure evolution

The degradation kinetics and micro-scale structure change of microcrystalline cellulose during anaerobic biodegradation were investigated. A modified Logistic model was established to properly describe the kinetics, which showed good fitness and wide applicability for cellulose degradation. A maximum degradation rate of 0.14 g L⁻¹ h⁻¹ was achieved after cultivating for 51.5 h. This result was in good agreement with the scanning electron microscope and X-ray diffraction analysis. Channels of 400-500 nm size started to occur on the crystalline surface of cellulose at around the inflexion time. Accordingly, the crystallinity significantly decreased at this point, indicating a degradation of the crystalline structure zones by anaerobic bacteria. This study offers direct morphological evidence and quantitative analysis of the biodegradation process of cellulose, and is beneficial to a better understanding of the cellulose degradation mechanism.     

曝气和pH对城市污染河道底泥氮形态的影响

以城市重污染河道表层沉积物为研究对象,采用模拟实验方法,探讨了不同曝气方式(水曝气和泥曝气)、上覆水初始pH(自然状态pH=7和pH=11)对城市污染河道底泥氮形态的影响。结果表明:采用水曝气+pH11方式对城市重污染河道上覆水、间隙水中总氮去除率分别为70.03%和44.66%;泥曝气+pH7方式对上覆水、间隙水、底泥中氨氮去除率分别为94.31%、84.07%和68.29%;底泥pH与上覆水总氮浓度呈正相关(p<0.05);泥曝气+pH11方式使底泥含水率、烧失率明显升高,继而影响各形态氮在泥水系统中的赋存,其中底泥吸附态氨氮含量与底泥含水率呈显著负相关(p<0.01),间隙水可溶态氨氮浓度与底泥烧失率显著正相关(p<0.01)。     

基于间隔偏最小二乘法短程硝化反硝化中无机盐氮的近红外光谱

采用序批式活性污泥反应器(SBR)研究短程硝化反硝化系统中稳定条件下无机盐氮的变化规律,利用小波去噪法对无机盐氮的近红外光谱进行预处理,并用间隔偏最小二乘法(iPLS)建立无机盐氮含量的校正模型(iPLS模型).结果表明:小波去噪法对原始光谱中的部分噪声进行滤除,从而提高了模型的精度.采用最小二乘法对预处理后的光谱进行建模,优选出最佳波长区间并将光谱划分为20个子区间,优选出的氨氮特征波数为8243~8663cm-1,亚硝酸盐氮特征波数为4000~4420cm-1.所建模型对氨氮、亚硝酸盐氮校正时的相关系数(rc)分别达到0.9582、0.9544,校正均方根误差(RMSECV)分别为0.0321、0.0406;预测时的相关系数(rp)分别为0.9184、0.8816,预测均方根误差(RMSEP)分别为0.0790、0.0451.采用实际污水为原水时校正模型对氨氮、亚硝酸盐氮预测的相关系数(rp￠)分别为0.9190、0.8739,预测均方根误差(RMSEP′)分别为0.0578、0.0229.模型对氨氮和亚硝酸盐氮的预测总体效果较好.用小波去噪和最小二乘法建立模型不仅能有效减少建模所需变量数、缩短运算时间,而且模型预测精度较高,为无机盐氮的快速测定提供了一种可行的分析技术.