高层建筑火灾安全疏散研究述评

火灾条件下的高层建筑安全疏散研究已成为国内外研究的热点。介绍了高层建筑安全疏散设计及高层建筑人员疏散模拟两种主要研究方法在高层建筑安全疏散研究上的应用。首先说明了高层建筑安全疏散设计经历了一个从处方式安全疏散设计到性能化安全疏散设计的转变,分析了国内外在高层建筑性能化安全疏散设计上的发展,并列出了性能化安全疏散设计在实施中存在的问题;其次介绍了应用于高层建筑人员疏散的仿真模型,设想了高层建筑计算机模型的发展趋势;最后结合高层建筑火灾安全疏散目前存在的问题和不足,对高层建筑火灾安全疏散做出展望。     

Influence of grain size on species-habitat models

High resolution remote sensing data facilitate the use of small-scale habitat features such as trees or hedges in the analysis of species-habitat relationships. Such data potentially enable more accurate species-habitat mapping than lower resolution data. Here, for the first time, we systematically investigated this hypothesis by altering the spatial resolution from 1 m up to 1000 m grain size in species-habitat models of 13 bird species. The study area covered the Nidda river catchment in central Germany, a large heterogeneous landscape of 1620 km². A high resolution habitat map of the area was converted to coarser spatial and thematic resolutions in seven steps. We investigated how model performance responded to grain size, and we compared the differential effects of spatial resolution and thematic resolution on model performance. Explained deviance (D²) of the bird models generally decreased with coarser spatial resolution of the data, although it did not decrease monotonically in all species. On average across all species, model D² decreased from 41.5 at 1 m grain size to 15.9 at 1000 m grain size. Ten species were best modelled at 1 m, two species at 3 m and one species at 32 m grain size. Model performance degraded continuously with increasing grain size, both in habitat generalist and habitat specialist bird species, and was systematically lower in habitat generalists. The higher model performance observed at finer grain sizes was most likely caused by the combination of three factors: (1) high spatial accuracy of bird records and (2) a more precise location and delineation of habitat features and, (3) to a lesser degree, by more habitat types differentiated in maps of finer resolution. We conclude that higher spatial and thematic resolution data can be essential for deriving accurate predictions on bird distribution patterns from species-habitat models. Especially for bird species that are sensitive to specific land-use types or to small-scaled habitat features, a grain size of 1-3 m seems most promising.     

Modelling species distributions with penalised logistic regressions: A comparison with maximum entropy models

An important aspect of species distribution modelling is the choice of the modelling method because a suboptimal method may have poor predictive performance. Previous comparisons have found that novel methods, such as Maxent models, outperform well-established modelling methods, such as the standard logistic regression. These comparisons used training samples with small numbers of occurrences per estimated model parameter, and this limited sample size may have caused poorer predictive performance due to overfitting. Our hypothesis is that Maxent models would outperform a standard logistic regression because Maxent models avoid overfitting by using regularisation techniques and a standard logistic regression does not. Regularisation can be applied to logistic regression models using penalised maximum likelihood estimation. This estimation procedure shrinks the regression coefficients towards zero, causing biased predictions if applied to the training sample but improving the accuracy of new predictions. We used Maxent and logistic regression (standard and penalised) to analyse presence/pseudo-absence data for 13 tree species and evaluated the predictive performance (discrimination) using presence-absence data. The penalised logistic regression outperformed standard logistic regression and equalled the performance of Maxent. The penalised logistic regression may be considered one of the best methods to develop species distribution models trained with presence/pseudo-absence data, as it is comparable to Maxent. Our results encourage further use of the penalised logistic regression for species distribution modelling, especially in those cases in which a complex model must be fitted to a sample with a limited size.     

Stochastic gravity models for modeling lake invasions

Freshwater aquatic systems in North America are being invaded by many different species, ranging from fish, mollusks, cladocerans to various bacteria and viruses. These invasions have serious ecological and economic impacts. Human activities such as recreational boating are an important pathway for dispersal. Gravity models are used to quantify the dispersal effect of human activity. Gravity models currently used in ecology are deterministic. This paper proposes the use of stochastic gravity models in ecology, which provides new capabilities both in model building and in potential model applications. These models allow us to use standard statistical inference tools such as maximum likelihood estimation and model selection based on information criteria. To facilitate prediction, we use only those covariates that are easily available from common data sources and can be forecasted in future. This is important for forecasting the spread of invasive species in geographical and temporal domain. The proposed model is portable, that is it can be used for estimating relative boater traffic and hence relative propagule pressure for the lakes not covered by current boater surveys. This makes our results broadly applicable to various invasion prediction and management models.     

自动监测设备比对监测合格率统计方法的探讨

参照污染源达标率统计方法,得出自动监测设备比对监测的合格率统计方法,并具体介绍了企业单个项目合格率统计方法、区域单个项目合格率统计方法和区域综合合格率统计方法。     

Novel operations research methods for efficiently determining irreplaceable sites for conservation

We examine the irreplaceability of sites in the context of the species set covering problem and the maximal covering species problem. We show that a succession of 0-1 programming problems can be solved to quickly determine the set of irreplaceable sites. For the widely available Oregon data set, we find a general lack of trend in the number of irreplaceable sites with the number of sites available for selection used. Moreover, we observe that irreplaceability at one level of resource may not be a predictor of irreplaceability at a higher or a lower level of resource. Finally, we investigate the economic value of irreplaceable sites by trial removals of those sites. This paper is dedicated to the memory of Dr. Charles S. ReVelle.     

基于区域化过程的边缘地区发展模式——以南阳市为例

边缘地区的发展问题一直是区域研究中的重点和难点，研究其发展轨迹、机理对于促进经济相对滞后的边缘区域发展具有重要意义。以豫鄂两省交界地区的南阳地区为例，在实地调研基础上，对其处于“核心→边缘”中的区域化过程进行阐述，采用区位商和“三轴图”产业重心方〖JP2〗法对其边缘化过程进行分析，针对南阳地区实际发展状况，提出未来解决边缘化的主要发展模式：（1）“CI”区域形象设计，推行区域形象发展模式；（2）“特色农产品＋农户＋中介＋（市场）明星企业”的农业产业化模式、“特色资源+生态工业园”的工业发展模式；（3）以旅游和物流为主的交通驱动型第三产业发展模式，通过特色模式带动地区经济快速高效发展，以期为南阳地区及同类区域发展提供有益建议。     

A preliminary investigation on the use of organic ionic liquids as green solvents for acylation and oxidation reactions

Different organic ionic liquids (OILs) have been used as green solvents in Friedel–Crafts acylation and alcohol oxidation reactions. Specifically, three OILs were employed, 1-ethyl-3-methylimidazolium chloride, tetraethylammonium bromide, and 1-butyl-3-methylimidazolium chloride, and four reactions studied, acylation of toluene by acetyl chloride, acylation of benzene by propionyl chloride, oxidation of benzyl alcohol by N-methylmorpholine N-oxide, and oxidation of salicylic alcohol by o-iodoxybenzoic acid. The reactions were carried out, at room temperature, in a well-stirred lab-scale glass batch reactor, under inert atmosphere and for reaction times ranging from 5 to 90 min. Gas chromatography was employed to characterize the reaction products. First of all, the desired products yield as a function of the reaction time was investigated. Moreover, simple kinetic models were built for the interpretation of the experimental results. Additional tests were carried out to assess the possibility of recycling the OILs employed. The results of this preliminary study were satisfactory as the OILs investigated proved to be good media in which to carry out the reactions studied in this work (desired products yield greater than 90% were achieved). Moreover, the reaction rate expressions of the kinetic models were able to satisfactorily predict the experimental results. Finally, the possibility of recycling the OIL (in one of the reactions) was proved to be feasible and this suggests the use of recycled OIL together with a fresh make-up, to match high yield values with economical/ecological advantages.     

Identifying key issues in environmental wetland research using scaling and uncertainty analysis

Quantification of the response of wetlands to environmental change and of climate change to wetland processes, is a pressing, but complex, issue. Findings of widely diverse investigations have to be generalised to identify the key issues and the gaps in knowledge. Two tools for generalisation, scaling and uncertainty analysis, were applied here to two case studies and act as stepping stones for analysis of key issues. The first case study is on methane emissions from wetland rice fields and the second is on the restoration of wet dune slacks. The type of problems encountered depends on the scale at which a process is studied. At the biogeochemical processes scale, knowledge on some key parameters, but especially on interactions between key parameters is limiting. At the vegetation scale, feedbacks between processes become especially important, whereas at even larger scales increasingly stringent approximations of interactions have to be made. Accumulating uncertainties at the landscape scale need careful evaluation. Apart from uncertainties in the approximations and their interactions, those introduced by spatial and temporal variability as well as by different data sources highly influence the accuracy of response estimates, while these last sources of uncertainty are neglected in many studies. Only by explicitly accounting for scaling effects and their resulting uncertainties, the interactions between wetlands and environment can be understood.