2015年石家庄市采暖期一次重污染过程细颗粒物在线来源解析

近年来,我国北方采暖期的大气污染问题备受关注.以2015年11月24日至12月4日石家庄地区一次重污染过程为例,采用大气细颗粒物实时在线源解析技术,对不同时段细颗粒物来源解析结果和各类源粒径分布、重污染期间各类源的质谱特征,结合气象条件进行综合分析.结果表明：重污染期间主要污染物来源为燃煤、工业工艺、机动车尾气和二次无机源;低压、静稳条件和低空传输共同作用下,以燃煤及工业工艺源排放颗粒物为主的细颗粒物严重累积,二次转化加剧,导致此次重污染的发生;来自燃煤源的颗粒物以混合碳为主,工业工艺源以金属为主,机动车尾气源以元素碳和金属锰为主,纯二次无机源以二次无机离子为主,来自扬尘源的颗粒物以铝、钙、铁和硅酸盐为主,生物质燃烧源以左旋葡聚糖LEV为主,餐饮源以有机酸为特征信号;与重污染前后不同,八类源于重污染发生期间在整个粒径段呈现均匀分布状态.     

SCAR处理城市生活污水的效能及其微生物群落动态分析

利用强化循环厌氧反应器(SCAR)处理模拟城市生活污水,研究不同负荷条件下的反应器运行特征、污泥特性及微生物种群结构.结果表明,水力停留时间(HRT)为6 h可以作为反应器高效运行的关键控制参数,该条件下污水化学需氧量(COD)去除率达到75%以上.随着反应器容积负荷的逐渐提高,颗粒污泥中辅酶F420和产甲烷活性(SMA)逐渐增加,胞外聚合物(EPS)含量也不断提高,其中紧密黏附EPS(TB-EPS)含量的增加尤其明显.厌氧颗粒污泥性状和反应器对污染物的去除效率同时受到污泥负荷和HRT的影响,微生物的群落结构及其在反应器中的空间分布也受到污泥负荷的影响,不同代谢特征微生物在反应器不同空间位置的相对丰度随着污泥负荷的调整而改变.     

利用3 nm~20 μm颗粒物粒径分布测量仪对南宁市大气颗粒物粒径分布特征进行研究

利用颗粒物粒径分布测量仪(particle size distribution system,PSD)对南宁市2016年11月15日—12月4日大气颗粒物进行实时监测,分析颗粒物数浓度、粒径分布特征及其与颗粒物质量浓度的关系.结果表明,南宁市3 nm~20μm颗粒物平均数浓度为3269个·cm-3,粒径呈双峰分布,主峰值出现在28 nm左右,次峰值出现在100 nm左右.颗粒物数浓度随时间变化呈现一定规律,即早上8:00—10:00和晚上18:00—20:00左右出现浓度高值,这与早晚高峰有关.新粒子一般在16:00~18:00左右开始生成,18:00—20:00左右逐渐长大,并在夜间至凌晨保持较高的浓度.南宁市监测期间新粒子生成与机动车尾气排放有关.颗粒物质量浓度越大对应的数浓度也相应较高,较大粒径颗粒物对质量浓度贡献较大.降雨和风速加大过程对颗粒物数浓度下降有影响;温度和湿度对颗粒物数浓度影响不明显.     

江西星子镇沙岭沙山顶部一处红色砂层的粒度分析及释光年代研究

鄱阳湖作为我国最大淡水湖,其周边分布若干沙山。此前研究多认为这些沙山为风成堆积的产物。选取星子镇沙岭沙山顶部（吴淞高程约58.3 m）一处红色砂层（含泥质团块）为研究对象,开展粒度分析和释光测年,以进一步揭示其形成环境和年代。粒度结果为：（1）以中粗砂为主;（2）粒度分选性差;（3）频率分布曲线显示该红色砂层包含多峰;（4）概率累积曲线显示该红色砂层包含1个推移组分、2个跃移组分和4个悬移组分;（5）萨胡判别公式值均>-2.74。之后,对红色砂层下伏泥层、红色砂层和红色砂层上覆黄色砂层开展石英单颗粒释光测年,其年代分别为：(24.7±2.1) ka、(24.0±2.4) ka和(22.4±3.9) ka。研究表明该红色砂层虽然形成于MIS2阶段,但其不是干旱环境下的风成沉积砂层。     

深部煤层钻屑粒度随钻进深度分布规律

为了研究煤层钻屑粒度随钻进深度分布规律,选取具有冲击危险性的平煤八矿己15煤作为研究对象,采取钻屑量测试和孔口瓦斯浓度监测,通过筛分实验煤样并应用Rosin Rammler分布模型,探究了钻屑粒度和钻屑量大小随孔深变化关系,分析不同点钻屑粒度分布特征。结果表明:小于0.075 mm钻屑粒度分布随孔深变化与钻屑量变化规律相吻合;不同钻孔随深度变化分别对应不同Rosin Rammler分布函数,随着应力过渡越平缓,粒径分布宽度系数n值越小,煤体应力越大粒径相关系数D越大;不同范围钻屑粒度占比大小也会影响钻屑量大小;在钻屑量较大时,孔口瓦斯体积分数会出现增高现象。通过对钻屑粒度分布规律分析,更好地了解深部煤体应力分布,有助于冲击危险的预警。     

Optimization of capture–recapture monitoring of elusive species illustrated with a threatened grasshopper

Information on population sizes and trends of threatened species is essential for their conservation, but obtaining reliable estimates can be challenging. We devised a method to improve the precision of estimates of population size obtained from capture–recapture studies for species with low capture and recapture probabilities and short seasonal activity, illustrated with population data of an elusive grasshopper (Prionotropis rhodanica). We used data from 5 capture–recapture studies to identify methodological and environmental factors affecting capture and recapture probabilities and estimates of population size. In a simulation, we used the population size and capture and recapture probability estimates obtained from the field studies to identify the minimum number of sampling occasions needed to obtain unbiased and robust estimates of population size. Based on these results we optimized the capture–recapture design, implemented it in 2 additional studies, and compared their precision with those of the nonoptimized studies. Additionally, we simulated scenarios based on thresholds of population size in criteria C and D of the International Union for Conservation of Nature (IUCN) Red List to investigate whether estimates of population size for elusive species can reliably inform red-list assessments. Identifying parameters that affect capture and recapture probabilities (for the grasshopper time since emergence of first adults) and optimizing field protocols based on this information reduced study effort (−6% to −27% sampling occasions) and provided more precise estimates of population size (reduced coefficient of variation) compared with nonoptimized studies. Estimates of population size from the scenarios based on the IUCN thresholds were mostly unbiased and robust (only the combination of very small populations and little study effort produced unreliable estimates), suggesting capture–recapture can be considered reliable for informing red-list assessments. Although capture–recapture remains difficult and costly for elusive species, our optimization procedure can help determine efficient protocols to increase data quality and minimize monitoring effort.     

粗枝云杉不同径级根系分解过程中4种养分元素的释放特征

植物根系分解是养分元素进入土壤的重要途径之一.为了解径级对根系分解过程中养分元素释放的潜在影响,以川西亚高山针叶林中的粗枝云杉(Picea asperata)为对象,采用原位分解试验,研究云杉3个径级(0-2 mm,2-5 mm和5-10 mm)根系分解过程中钾(K)、钠(Na)、钙(Ca)和镁(Mg)元素的浓度、残留...     

Can we gain precision by sampling with probabilities proportional to size in surveying recent landscape changes in the Netherlands?

Seventy-two squares of 100 ha were selected by stratified random sampling with probabilities proportional to size (pps) to survey landscape changes in the period 1996–2003. The area of the plots times the urbanization pressure was used as a size measure. The central question of this study is whether the sampling with probabilities proportional to size leads to gain in precision compared to equal probability sampling. On average 1.03 isolated buildings per 100 ha have been built, while 0.90 buildings per 100 ha have been removed, leading to a net change of 0.13 building per 100 ha. The area with unspoiled natural relief has been reduced by 2.3 ha per 100 ha, and the length of linear relicts by 137 m per 100 ha. On average 74 m of linear green elements have been planted per 100 ha, while 106 m have been removed, leading to a net change of −31 m per 100 ha. For the state variables ‘unspoiled natural relief', ‘ linear relicts', ‘removed linear green elements', and ‘new – removed linear green elements' there is a gain in precision due to the pps-sampling. For the remaining state variables there is no gain or even a loss of precision (`new buildings', ‘removed buildings', ‘new – removed buildings', ‘new linear green elements'). Therefore, if many state variables must be monitored or when interest is not only in the change but also in the current totals, we recommend to keep things simple, and to select plots with equal probability.     

好氧颗粒污泥膜生物反应器污泥性状研究

采用厌氧-好氧运行方式的颗粒污泥膜生物反应器（GMBR）,连续运行近120　d表现出良好的有机物去除及同步硝化反硝化能力.对GMBR中污泥粒径分布变化研究表明,GMBR中污泥浓度的增加主要是由于粒径0.18～0.45　mm的小颗粒污泥及小于0.18　mm的絮状污泥的增加造成的,粒径大于0.45　mm的颗粒污泥能够基本稳定维持其颗粒形态,反应器运行末期,GMBR中颗粒污泥（粒径大于0.18　mm的污泥）含量稳定在污泥总量的60％～65％以上.污泥表面电荷量随着污泥组成形态的变化电负性逐渐增加,80　d后稳定在-0.42～-0.80　meq·g^-1之间.污泥表面电荷的负电性增加主要是由小于0.45　mm的污泥造成的,其中小于0.18　mm的絮状污泥对其影响最大.并且,污泥粒径越大污泥表面负电荷量越少,两者具有较好的线性关系.另外,GMBR中SVI稳定在60～90 mL/g之间,并且随着污泥表面电荷负电性的增加污泥SVI值增加,两者之间具有一定的相关性.     

近地面大气颗粒物粒度与粒形特征

选择大气颗粒物污染代表性城市石家庄市,利用挂片法采集采暖期与非采暖期大气颗粒物样品,在CIS-50粒度粒形仪上进行视频通道测试,并利用扫描电镜对颗粒表面形态进行观察,得出颗粒物粒度分布、粒形参数及形貌特征.结果显示,大气颗粒物粒度分布为连续多峰曲线形态,粒径范围为0.8～120 μm,集中于10 μm以下,粒度均值变化为4.086 0～7.622 7 μm,标准差随粒度均值增大而增大;粒形参数中形状因子均值变化为0.718 3～0.899 3,分维度均值变化为1.041 1～1.072 0.上述数据均呈现在非采暖期间小于采暖期间的特征.扫描电镜观察表明大气颗粒物多为表面粗糙的块状形貌,粒度较大;团聚状次之,并呈粗、细2种团聚形态;球体颗粒粒度最小.分析认为,石家庄市近地面大气颗粒物粒度粒形变化受地面排放影响强烈,采暖期新增颗粒物粒度为5～8 μm,粒形为近圆形及圆形,呈聚合体形态;PM₅数量比与近方形及正方形颗粒数量比呈较好正相关,r 为0.945 8,与近圆形及圆形颗粒数量比呈负相关,r 为-0.972 6,PM₅在大气颗粒物粒度粒形变化中可能有重要影响.