间甲酚对杂色云芝(Coriolus versicolor)生长及产漆酶能力的影响

分别进行了间甲酚浓度为0mg·L-1,166 7mg·L-1和275mg·L-13种情况下的杂色云芝实罐发酵试验,定时测定了3种情况下菌丝干重(DC)、淀粉消耗、间甲酚降解和酶活性随时间的变化.在无间甲酚时,菌丝干重在188h达到最大值2600mg·L-1;在120h开始出现酶活,228h达到最大值82 15U·mL-1后,呈现一个稳定态势,不因衰亡期的到来而有较大幅度的变化.在加入166 7mg·L-1间甲酚时,菌丝干重在204h方达到最大值(995mg·L-1),且较无间甲酚时低得多(降低61 73%);在180h开始出现酶活,204h达到最大值(118 36U·L-1),并高出前者44 1%,此后也呈现一个稳定的态势.在加入间甲酚浓度为275mg·L-1时,菌丝干重在372h方达到最大值(320mg·L-1),但仅是无间甲酚的12 31%,间甲酚浓度为166 7mg·L-1时的32 16%;在264h开始出现酶活,396h达到最大值(112 8U·L-1),其酶活水平与间甲酚为166 7mg·L-1情况下的水平相当,这说明间甲酚可以诱导杂色云芝达到较高的产酶水平.研究发现在上述条件下杂色云芝生长的时间统计模型3种情况下的动力学模型可以用Logistic方程来模拟,即间甲酚的加入,并不改变其生长动力学模型;杂色云芝产漆酶的动力学模型在3种情况下可以分别用一级反应动力学方程描述;3种情况下,淀粉消耗均可以用Logistic模型来描述,从3个方     

Effects of Amazonian flying rivers on frog biodiversity and populations in the Atlantic rainforest

Given the speed at which humans are changing the climate, species with high degrees of endemism may not have time to avoid extinction through adaptation. We investigated through teleconnection analysis the origin of rainfall that determines the phylogenetic diversity of rainforest frogs and the effects of microclimate differences in shaping the morphological traits of isolated populations (which contribute to greater phylogenetic diversity and speciation). We also investigated through teleconnection analysis how deforestation in Amazonia can affect ecosystem services that are fundamental to maintaining the climate of the Atlantic rainforest biodiversity hotspot. Seasonal winds known as flying rivers carry water vapor from Amazonia to the Atlantic Forest, and the breaking of this ecosystem service could lead Atlantic Forest species to population decline and extinction in the short term. Our results suggest that the selection of morphological traits that shape Atlantic Forest frog diversity and their population dynamics are influenced by the Amazonian flying rivers. Our results also suggest that the increases of temperature anomalies in the Atlantic Ocean due to global warming and in the Amazon forest due to deforestation are already breaking this cycle and threaten the biodiversity of the Atlantic Forest hotspot.     

Effect of ambient polycyclic aromatic hydrocarbons and nicotine on the structure of Aβ42 protein

● B[a]P, nicotine and phenanthrene molecules altered the secondary structure of Aβ₄₂. ● β-content of the peptide was significantly enhanced in the presence of the PAHs. ● Nicotine made stable cluster with Aβ₄₂ peptide via hydrogen bonds. ● Phenanthrene due to its small size, interfered with the Aβ₄₂ monomer more strongly. Recent studies have correlated the chronic impact of ambient environmental pollutants like polycyclic aromatic hydrocarbons (PAHs) with the progression of neurodegenerative disorders, either by using statistical data from various cities, or via tracking biomarkers during in-vivo experiments. Among different neurodegenerative disorders, PAHs are known to cause increased risk for Alzheimer’s disease, related to the development of amyloid beta (Aβ) peptide oligomers. However, the complex molecular interactions between peptide monomers and organic pollutants remains obscured. In this work, we performed an atomistic molecular dynamics study via GROMACS to investigate the structure of Aβ₄₂ peptide monomer in the presence of benzo[a]pyrene, nicotine, and phenanthrene. Interestingly the results revealed strong hydrophobic, and hydrogen-bond based interactions between Aβ peptides and these environmental pollutants that resulted in the formation of stable intermolecular clusters. The strong interactions affected the secondary structure of the Aβ₄₂ peptide in the presence of the organic pollutants, with almost 50 % decrease in the α-helix and 2 %–10 % increase in the β-sheets of the peptide. Overall, the undergoing changes in the secondary structure of the peptide monomer in the presence of the pollutants under the study indicates an enhanced formation of Aβ peptide oligomers, and consequent progression of Alzheimer’s disease.     

兰州市郊红砂种群数量动态与分布格局

对兰州市南北两山天然分布的红砂种群数量动态和空间分布格局进行研究。利用地径回归得到红砂种群年龄结构,编制静态生命表,进行生存分析及谱分析,计算红砂种群年龄结构动态指数,以揭示种群数量动态特征;采用扩散系数、负二项指数、平均拥挤度、聚块性指数、扩散型指数、丛生指数、Cassie指数和Green指数8个分布指标判断红砂种群时空尺度上的格局类型。结果表明,南北两山红砂种群密度、盖度适宜,动态指数均大于0,呈现增长型,并存在明显的周期性;种群以中幼龄植株为主体,各龄级的死亡率基本平稳,但在第Ⅱ过渡到第Ⅲ龄级时,出现死亡高峰,存活曲线趋于Deevey-Ⅲ型。种群时空异质性明显,阳坡的红砂种群呈现聚集分布,阴坡则多呈现均匀分布;不同发育阶段红砂种群分布格局呈现明显递变规律,幼龄阶段聚集度高,随着年龄增大,聚集性大幅减弱。     

3m直径煤油池火灾火焰特性的数值研究

为了预测油池火灾的火焰特性,采用CFD模拟技术开展静风状态下3 m直径煤油液池的火灾场景模拟,探讨火焰温度、火焰羽流速度、辐射热通量、燃烧产物质量分数等油池火焰特性参数随高度的变化关系;并结合火焰形态分布,提出一种4区域模型,即将湍流扩散火焰划分为油气混合燃烧区、燃烧火焰区、烟尘区和热烟气区来分析燃烧气流在不同高度的实际物理化学特性。此外,通过经验公式和CFD模拟2种方法分别计算出3 m直径煤油池火灾的火焰高度、火焰表面的辐射通量及热辐射破坏半径,并对计算结果进行比较分析,结果表明:2种方法可互相补充完善,有助于池火灾的热辐射危害性评估。     

煤矿安全管理的系统动力学仿真分析

从安全投入和安全产出的角度分析煤矿安全管理系统各要素之间错综复杂和相互依存的关系;运用系统动力学的相关理论和方法研究煤矿安全管理与控制问题;利用VENSIM建模软件做出各要素之间的因果关系图,建立煤矿安全管理的系统动力学流图模型。采用宁煤集团灵新煤矿的实际安全生产数据进行模拟分析,确立最优安全管理与控制方案,提升煤矿安全生产水平。     

爆破地震波作用下尾矿坝的有限元动力分析

为了了解某钼矿进行爆破采矿是否会对近距离的尾矿坝产生破坏作用,结合实际勘探资料,在二维静力非线性有限元分析的基础上,进行爆破地震波作用下坝体的动力反应分析,综合研究了动位移、动应力和加速度时程等关键物理量变化的规律性,并在此基础上进一步结合试验资料对坝体进行了液化判断及稳定性分析。分析结果表明,该钼矿在规定的爆心距、药量范围内进行爆破采矿时,相邻的尾矿坝是安全稳定的。本文的研究结果对爆破设计、现场采矿及尾矿坝体运行维护均具有一定的指导意义。     

Effects of site-selection bias on estimates of biodiversity change

Estimates of biodiversity change are essential for the management and conservation of ecosystems. Accurate estimates rely on selecting representative sites, but monitoring often focuses on sites of special interest. How such site-selection biases influence estimates of biodiversity change is largely unknown. Site-selection bias potentially occurs across four major sources of biodiversity data, decreasing in likelihood from citizen science, museums, national park monitoring, and academic research. We defined site-selection bias as a preference for sites that are either densely populated (i.e., abundance bias) or species rich (i.e., richness bias). We simulated biodiversity change in a virtual landscape and tracked the observed biodiversity at a sampled site. The site was selected either randomly or with a site-selection bias. We used a simple spatially resolved, individual-based model to predict the movement or dispersal of individuals in and out of the chosen sampling site. Site-selection bias exaggerated estimates of biodiversity loss in sites selected with a bias by on average 300–400% compared with randomly selected sites. Based on our simulations, site-selection bias resulted in positive trends being estimated as negative trends: richness increase was estimated as 0.1 in randomly selected sites, whereas sites selected with a bias showed a richness change of −0.1 to −0.2 on average. Thus, site-selection bias may falsely indicate decreases in biodiversity. We varied sampling design and characteristics of the species and found that site-selection biases were strongest in short time series, for small grains, organisms with low dispersal ability, large regional species pools, and strong spatial aggregation. Based on these findings, to minimize site-selection bias, we recommend use of systematic site-selection schemes; maximizing sampling area; calculating biodiversity measures cumulatively across plots; and use of biodiversity measures that are less sensitive to rare species, such as the effective number of species. Awareness of the potential impact of site-selection bias is needed for biodiversity monitoring, the design of new studies on biodiversity change, and the interpretation of existing data.     

流域污染负荷水质响应的时空数值源解析方法研究

以目前广泛应用的环境流体动力学模型EFDC为平台,构建时空数值源解析方法,理论上可以得到任意时刻任意空间点位污染物的来源构成.其原理是考虑水质模型的微分方程,直接对每个污染负荷再微分,从而将原来1个微分方程变为关于每个污染源的微分方程组,然后联立以EFDC的水动力模型求解,得到每个源对每个时空点的贡献.概化的抚仙湖模型作为数值案例用以验证方法.时空数值源解析的结果与传统扰动方法的结果几乎重合,验证了时空数值源解析方法的正确性.另一方面,数值案例中存在34个独立的污染源,扰动法则需要35次模拟,而时空数值源解析方法的结果通过单次模拟就可得到,说明时空数值源解析方法具有明显的计算效率优势.而通过对结果的进一步分析可以发现,时空数值源解析方法可以提供更精确的源贡献的动态描述.     

若尔盖泥炭地溶解有机碳季节变化特征及其影响因素

DOC(溶解有机碳)是泥炭地碳循环中最活跃、最敏感的指标. 以若尔盖木里苔草(Carex muliensis)泥炭地为研究对象,分析了2012年该泥炭地DOC季节变化特征及其影响因素,旨在揭示泥炭地碳循环特征及其对全球变化的潜在响应. 结果表明:若尔盖木里苔草泥炭地孔隙水中ρ(DOC)季节变化显著(P<0.001, n=12),总体呈先升后降趋势,8月和5月分别出现最高值(42.77mg/L)和最低值(26.27mg/L). DOC复合物组成结构季节变化明显,主要表现在:在整个生长季节,DOC复合物芳香组分〔A₂₅₄/ρ(DOC),其中A₂₅₄为波长254nm处的吸光度,余同〕及有色组分相对含量〔A₄₀₀/ρ(DOC)〕逐渐增加,变化范围分别为0.02~0.05和0.002~0.007;5—7月DOC复合物腐殖化程度(E4/E6,即A₄₅₀/A₆₅₀)迅速降低,8—10月又逐渐增强. 此外,土壤层温度、地表温度及相对湿度是泥炭地孔隙水ρ(DOC)季节变化的主要影响因素,三者的R2分别为0.522、0.486和0.369,降水量则对有色组分含量和腐殖化程度的季节动态有很大贡献(R分别为0.748、-0.604),同时腐殖化程度还受到土壤层和地表温度的影响(R分别为0.744、0.722). 该研究结果有利于从DOC复合物的组成结构方面进一步了解DOC季节特征及其变化的潜在机制.