环境因子和火干扰因子对喀纳斯泰加林柳兰分布的影响

喀纳斯泰加林植被的生长和分布受火干扰和环境因子的共同作用,为了解喀纳斯泰加林林下柳兰分布与生态因子的关系,促进种群扩繁,共设置了35个样地进行调查和分析。建立柳兰重要值与生态因子矩阵,利用CCA分析法对不同火烧林分中柳兰的生长分布状况与林火烈度、火后时间、海拔、坡度、坡向、郁闭度、土壤pH值、速效钾、土壤有机质、灌木层盖度、草本层盖度和草本层物种多样性指数等20个生态因子的关系进行了分析。结果显示,第一轴主要反映林火烈度、海拔、坡向,灌木层盖度、pH值、有机质、全钾和速效钾的变化;第二轴主要反映林火烈度、火后时间、草本层盖度、坡向、坡位、土壤容重、电导率、有机质、有效磷和全氮的变化。对柳兰分布有显著影响的生态因子是林火烈度、有机质、海拔、坡向、灌木层盖度、土壤容重、全钾和速效钾,前两轴的累计贡献率为72.48%。柳兰适合在土壤呈弱酸性、海拔低、阳坡、土壤容重小、土壤有机质、全钾和速效钾含量高的环境中生长。柳兰是阳性植物,是火烧后的先锋植物。对影响柳兰分布的生态因子进行定量分离,结果发现环境因子和火干扰因子对柳兰样地物种分布的解释能力为88.2%,显示出较好的排序效果。喀纳斯泰加林受人为干扰较少,柳兰所在植物群落与环境保持了良好的对应关系,生态因子与物种分布呈显著相关(P=0.003),表明CCA排序结果可以解释生态因子对物种分布的影响程度。     

初始扰动对CO2抑制瓦斯爆炸特性研究*

为了预防实际生产过程中发生的瓦斯爆炸事故,利用20 L球形爆炸装置,通过改变粉尘仓充压压力产生不同的扰动,研究9.5%CH4浓度下不同扰动条件对CO2抑爆特性的影响。通过对所得参数进行分析,得到CO2抑爆特性与初始扰动的关系。研究结果表明:相较于均匀静置状态,初始扰动的存在均能提高CH4的爆炸强度,当引发初始扰动的粉尘仓压力为1.5 MPa时,最大爆炸压力达到0.78 MPa;随CO2浓度增大,爆炸强度整体下降,呈二次下降趋势、最大爆炸压力时间呈上升趋势,且各初始扰动压力间爆炸强度均大于均匀静置状态、最大爆炸压力时间小于均匀静置状态;同时利用CHEMKIN软件得到绝热平衡压力,计算热损失参数发现,同一气体混合比例工况下,初始扰动状态的热损失及热损失分数明显低于均匀静置状态的,且当CO2浓度为15%时,差距最大,不同初始扰动间热损失及热损失分数最小值分别为0.013 19 kJ/m2,17.9%,远小于静置状态下0.036 29 kJ/m2,46.4%,说明初始扰动对于CO2抑爆效果存在削弱作用。     

Simulating dynamic and mixed-severity fire regimes: A process-based fire extension for LANDIS-II

Fire regimes result from reciprocal interactions between vegetation and fire that may be further affected by other disturbances, including climate, landform, and terrain. In this paper, we describe fire and fuel extensions for the forest landscape simulation model, LANDIS-II, that allow dynamic interactions among fire, vegetation, climate, and landscape structure, and incorporate realistic fire characteristics (shapes, distributions, and effects) that can vary within and between fire events. We demonstrate the capabilities of the new extensions using two case study examples with very different ecosystem characteristics: a boreal forest system from central Labrador, Canada, and a mixed conifer system from the Sierra Nevada Mountains (California, USA). In Labrador, comparison between the more complex dynamic fire extension and a classic fire simulator based on a simple fire size distribution showed little difference in terms of mean fire rotation and potential severity, but cumulative burn patterns created by the dynamic fire extension were more heterogeneous due to feedback between fuel types and fire behavior. Simulations in the Sierra Nevada indicated that burn patterns were responsive to topographic features, fuel types, and an extreme weather scenario, although the magnitude of responses depended on elevation. In both study areas, simulated fire size and resulting fire rotation intervals were moderately sensitive to parameters controlling the curvilinear response between fire spread and weather, as well as to the assumptions underlying the correlation between weather conditions and fire duration. Potential fire severity was more variable within the Sierra Nevada landscape and also was more sensitive to the correlation between weather conditions and fire duration. The fire modeling approach described here should be applicable to questions related to climate change and disturbance interactions, particularly within locations characterized by steep topography, where temporally or spatially dynamic vegetation significantly influences spread rates, where fire severity is variable, and where multiple disturbance types of varying severities are common.     

Spatial and seasonal variations in bacterial communities of the Yellow Sea by T-RFLP analysis

Four typical coastal sites (rocky shore, sandy shore, mud flat shore, and artificial harbor) at the Yellow Sea were chosen to investigate the spatial and seasonal variations in bacterial communities. This was accomplished by using terminal restriction fragment length polymorphism (T-RFLP) analysis of PCR amplified 16S rDNA fragments. Two kinds of tetrameric restriction enzymes, HhaI and MspI, were used in the experiment to depict the bacterial community diversity in different marine environments. It was found that the community compositions digested by the two enzymes separately were different. However, the results of bacterial community diversity derived from them were similar. The MDA analysis results of T-RFLP profiles coming from HhaI and MspI both exhibited a significant seasonal community shift for bacteria and a relatively low spatial variation among the four locations. With HhaI as the sample, the pair wise T-tests also revealed that variations were minor between each pair of marine environments, with R ranging from 0.198 to 0.349. However, the bacterial community structure in the mud flat site depicted a larger difference than each of the other three sites (R ranging from 0.282 to 0.349).     

考虑开挖扰动和基质吸力影响的基坑边坡安全性研究

在传统的边坡安全性分析中 ,人们都不考虑开挖扰动和基质吸力的影响。笔者通过试验 ,研究了开挖扰动对土体工程性质的影响 ,并且建立了考虑开挖扰动和基质吸力影响的基坑边坡安全性分析模型 ,还给出了计算实例。研究结果表明 ,开挖扰动和基质吸力对边坡安全系数有较大的影响。     

高压脉冲放电降解水中苯乙酮的研究

进行了高压脉冲放电降解水中苯乙酮的实验,2.1×10^-3M苯乙酮溶液放电处理30min,苯乙酮的最高降解率达92％,另外还探讨了苯乙酮降解途径及气体的存在对放电效果和苯乙酮降解率的影响．研究表明,用高压脉冲放电处理有机废水是可行的．     

岷江上游大沟流域驱动植被退化的人为干扰体研究

研究了岷江上游大沟流域内的人为干扰体,分析了干扰的类型、强度、频率及其时空变化特征,揭示了不同干扰类型及其特性对植被退化的作用、干扰体与人口增长、植被退化等的关系．结果表明：大沟流域人为干扰类型多达８种,但优势的干扰类型是砍伐薪材和牲畜放牧．从近３０ａ的干扰强度变化看,以８０年代初的干扰强度最大,并在近２０ａ内保持很高的干扰强度水平;干扰强度的年内变化表现为春末、夏、秋大而冬、早春小．近４０ａ来的干扰频率愈趋增高,年内表现为春秋季干扰频率最高,夏季中等,而冬季最小．人为干扰的空间差异十分明显,反映出人为干扰的现状及其对植被的破坏强度差异,即由村寨向沟尾和高海拔区、由近及远、由低到高,形成“钟形”干扰格局．认为大沟流域植被的严重退化是所有人为干扰长期共同驱动的结果,与该区人口及其需求迅速增长密切相关．结果还表明,不同性质的干扰对植被的影响作用具协同性,同一干扰体长期连续对植被的影响具累加和放大的作用     

等离子体分解SO2实验

介绍了在低温常压条件下,应用等离子体分解有害气体ＳＯ２的实验结果,通过实验总结出ＳＯ２浓度,气体流量以及烟气温度ＳＯ２分解率的影响规律,比较了脉冲叠加正、负直流电压产生的等离子体分解ＳＯ２的能耗和分解量。实验结果表明,该项技术耗能低,ＳＯ２分解率高。每消耗１ｋＷ·ｈ电能可分解１．６１－１．９７ｋｇＳＯ２气体,分解率达８０％以上。     

土壤种子库研究的几个热点问题

土壤种子库是指存在于土壤表层凋落物和土壤中全部活性种子的总和。土壤中有活性的种子是植物群落的一部分,是新植株的来源。土壤种子库可以分为瞬时土壤种子库和持久土壤种子库。随着群落生态学的发展,土壤种子库的研究已经成为植物生态学重要的一部分,研究内容主要包括:(1)土壤种子库的组成和分布;(2)土壤种子库的动态;(3)地上植被与土壤种子库的关系;(4)干扰对土壤种子库的作用;(5)土壤种子库在生态恢复中的作用。文章在对目前土壤种子库的研究方法、主要研究内容方面总结的基础上,认为土壤种子库在合适的干扰作用下对退化生态系统的恢复以及植被更新发挥重要的作用,同时需进一步加强对这一过程中种子萌发、幼苗建立限制因素的研究。     

AlN覆铜板盐雾环境下的退化行为研究

目的 研究AlN覆铜板在盐雾环境下的性能退化及其微观机制。方法 采用交替喷雾和干燥方法对AlN覆铜板进行15周期的中性盐雾试验,并在第1、3、6、10、15周期时检测其相关性能。主要通过击穿电压测试、介电性能测试和导热性能测试等方法,分别评价AlN覆铜板的电绝缘特性、介电损耗及导热系数,并通过扫描电镜和能谱测试对试样表面/截面微观形貌和元素变化进行分析。结果 AlN覆铜板导热系数和击穿电压随盐雾试验周期的增长而逐渐退化,最大退化率分别为13.2%和73.8%。介电损耗明显增加,盐雾试验15周期后,在低频区域的最大值约为1.3。Cu电极发生明显腐蚀,生成大量绿色腐蚀产物,导致表面Ni-P镀层脱落失效。H₂O分子扩散进入AlN陶瓷内部,在局部区域造成陶瓷水解,逐渐形成微裂纹。结论 盐雾试验过程中,Ni-P镀层逐渐开裂剥落,Cu电极表面最终形成大面积疏松多孔的腐蚀产物层。H₂O、Cl^–、Na⁺等逐渐溶解扩散进入AlN陶瓷,导致陶瓷中空位、裂纹、杂质缺陷浓度增加,二者都会增强导热过程中的声子-缺陷散...