Experience in quantitative analysis of floristic structure and diversity in Samarskaya Luka

Quantitative methods have been applied to the study of floristic structure and diversity in Samarskaya Luka. The results show that Samarskaya Luka is a floristically heterogeneous area in which six elementary floras can be distinguished. This area has been assessed as a floristically autonomous formation, and its floristic representativeness was estimated.     

雨水管道沉积物中典型无机氮的干期粒径分布

以南京江北新区分流制雨水管道沉积物为研究对象,考察不同粒径沉积物中铵态氮（NH₃-N）和硝态氮（NO₃^--N）干期分布特征,分析其随干期长度的变化关系,并探讨沉积物理化性质及微生物菌群结构对NH₃-N和NO₃^--N干期分布的影响.结果表明：粒径≤0.075mm的沉积物中NH₃-N占比最高（交通区30.8%,商业区36.7%）;交通区粒径≤0.075mm的沉积物中NO₃^--N占比最高（33.0%）,而商业区粒径0.075~0.15mm沉积物中NO₃^--N占比最高（34.4%）;干期长度与交通区0.075~0.15mm粒径段的沉积物中NO₃^--N含量及商业区粒径≥0.3mm的沉积物中NH₃-N含量之间的相关性均最显著;雨水管道沉积物中NH₃-N和NO₃^--N的干期分布与O-H和N-H等官能团、表面极性和亲水性、微观形貌等有一定关联;交通区雨水管道沉积物中Gemmobacter等反硝化优势菌种（相对丰度总和为20.15%）对NO₃^--N干期分布影响更显著.     

Relationship between PM10 and PM2.5 levels in high-traffic area determined using path analysis and linear regression

The objective of this study was to determine the relationship between PM_(10) and PM_(2.5) levels as related to meteorological conditions and traffic flow using both a linear regression analysis and a path analysis. The Particulate matter(PM) samples were collected from Sukhumvit road, Bangkok, Thailand, at both open(104 samples) and covered(92 samples)areas along the road. Fifteen percent of all samples were separated before the statistical models were run and used for model validation. The results from the path analysis were more elaborate than those from the linear regression, thus indicating that meteorological conditions had a direct effect on the particulate levels and that the effects of traffic flow were more variable in open areas. The model also indicated that meteorological conditions had an indirect effect and that traffic flow had a direct effect on particulate levels in covered areas. The model validation results indicated that for open areas, the R~2 values were not very different between the path analysis and the linear regression model, but that the path analysis was more accurate than the linear regression model at very low PM concentrations. At high PM concentrations, the path analysis model also had a better fit than did the linear regression, so the predictions from the path analysis model were more accurate than those from the linear regression.     

Study on the effect of porous fence on air quality and traffic noise level around a double-decked road structure

Fence for traffic noise control sometimes causes adverse effect on air pollution. Thus in this study, performance of porous fence as a tool for control of both air pollution and noise pollution was evaluated. A two-dimensional numerical model for flow and pollutant concentration and an analytical model for traffic noise were utilized in the analysis of a double-decked road structure with fences only at ground (Case 1) and at both ground and upper deck (Case 2). Porous fences were assumed only at the ground level since the solid fences at the upper deck usually leads to desirable result on air pollution. Effects of the variable porosity on air quality and noise level near road were evaluated. Obtained results showed: (1) flow pattern in leeward of fence was drastically changed at 40–50% porosity in Case 1 and 50% in Case 2. The porosity larger than 40% excluded presence of a circulation behind the fence. (2) Effect of porous fence on air pollution was different in Cases 1 and 2. In Case 1, the porous fence generally resulted in the reduction of air pollution at the ground level; on the other hand, in Case 2, it rather led to increase of the concentration. (3) Traffic noise level was also largely changed by the porosity of the fence; an example of simultaneous evaluation of the effects of porous fence on both air and noise pollution in Case 1 showed that the fence of 60% porosity leads to reduction of air pollution by 20% compared with solid fence case, and reduction of noise pollution by 4–6% in dB compared with no fence case, at l m high and 10 m from the road.     

喀喇昆仑山-昆仑山植物区系的一般特征及植物资源的保护与开发利用

本文根据1987—1988年两年考察的结果,初步讨论了喀喇昆仑—昆仑山地区植物区系的一般特征:1.植物种类比较贫乏高等植物仅243属约700种;2.北温带分布型属占绝对优势;3.以桑株河谷为界,昆仑山西段与东段的植物区系有很大差异;4.无严格的特有属,但种的分化强烈,种群数量大。本区由于极端干旱,自然生态系统十分脆弱,而森林和各类天然植被在维护本区自然生态系统平衡方面,起着十分重大的作用。在严格保护使森林和各类自然植被不致破坏的前提下,提出本区最有可能开发利用的植物资源是药用植物资源,除许多著名的中药外,应着重开发利用红景天属(Rhodiola)、风毛菊属(Saussurea)、葱属(Allium)的药用植物,并对当地的民族药物矮膜苞芹(Hymnolaena nana)等,进行深入研究。     

钱塘地区早石炭世地层和植物群

本文主要论述钱塘地区早石炭世地层和植物群。将早石炭世地层中产的植物化石分为三个组合:1.Lepidodendropsis hirmeri,Bothrodendron fuyangense组合.时代为晚泥盆世至早石炭世早期,笔者认为它是Lept ophloeum rhombicum Sublepi-dodendron mirabile组合与Lepidodendron gaolishanense Eolepidodeudraou spp.Sublepidodendron mirnbile组合之间一个过渡型组合。2.Anisopteris cf.transitionis- Archaeocalamites scrobieulatus组合。它与湘中测水组植物群为代表的韦宪中期Cardiopteridium spet sbergense-Triphyllopteris collombicum组合或C.spet sber-gense-Adiantitea gothanii组合对比。时代为早石炭世韦宪期或我国的大塘阶。3.Neuropteris schlehani f.rectinervis-Mariopteris acuta f.obtusa组合。它与江西梓山群佛岭组、广东测水组上段和忠信组中段的Archaeopteridium-Sphenopterisobtusiloba组合相当,时代为早石炭世韦宪晚期。     

黄荆自然保护区植物区系的初步研究

黄荆自然保护区地处四川盆地与云贵高原的过渡地带,地带性植被为亚热带偏湿性常绿阔叶林,有种子植物165科745属1521种,其中裸子植物9科19属24种,被子植物156科726属1497种.该区特殊的自然条件和复杂的地质构造,使其成为多种植物地理成分的汇集地,并成为我国乃至全世界亚热带(同纬度)地区保存较好的常绿阔叶林植被群落,具有极高的研究价值和生态价值.根据近年来的科学考察,认为黄荆自然保护区植物区系的种类丰富、珍稀特有植物较多、起源古老、区系成分复杂,显示出多方植物交汇的特点.     

道路路障对街道峡谷内污染物扩散的影响

采用数值模拟,研究不同风向角α (α=0°、45°、90°)及道路屏障位置(中间单路障和两侧双路障)对街道峡谷内机动车尾气污染物扩散的影响。数值模拟采用标准 k-ε 湍流模型且Sct选择0.3时,计算结果与风洞实验结果较好吻合。结果表明,2种路障布置方式可有效降低人行道内污染物浓度,特别是,当α=45°时,污染物浓度最多可降低46.23%。同时,风向角α对街道峡谷内污染物扩散影响较大。当 α=90°时,空气流通不良使得污染程度最为严重,且污染集中在背风侧近地面。单路障比双路障布置对污染物扩散影响更大,前者使污染物主要集中在街道中心背风侧,其他位置浓度明显降低;双路障时仅在一定范围内改善人行道内空气品质,但对街道整体污染物分布影响不大。     

柴油降解菌的筛选、菌群构建及其对柴油和十五烷的降解机理

针对柴油污染土壤生物修复技术效率低的问题,通过构建高效降解菌群修复柴油污染的土壤,采用组合优化和正交实验构建最佳组合与接种比例的菌群,并研究其柴油降解特性。结果表明,通过筛选、鉴定并命名的4株柴油降解菌为Bacillus sp. VOC18-L1、Enterococcus faecalis-L2、Lysinibacillus-L3、Rhodococcus equi-L4;当4株菌接种比例为3∶1∶3∶4,pH = 7.0,30 ℃,转速150 r·min⁻¹时,柴油降解的效果最佳,14 d对7.0 mL·L⁻¹的柴油降解率达到89.0%。通过气相色谱质谱联用仪(GC-MS)检测柴油降解产物,发现该混合菌株能将柴油中的烷烃降解为短链烷烃,最终转化为小分子物质。同时利用KEGG数据库获得代谢丰度图并初步预测每种菌的功能,根据微生物多样性测试结果,进一步证明了混合菌对柴油完全降解的效果优于单种菌种。通过人工构建的微生物菌群可以有效地应用于柴油污染土壤的修复。