煤矿瓦斯涌出时序预测的自组织数据挖掘方法

为分析煤矿瓦斯涌出复杂系统时间序列预测方法,提出自组织数据挖掘(SODM)与相空间重构(PSR)相结合的预测建模方法。首先应用C-C方法计算时间序列的最佳嵌入维数和延迟时间后进行PSR;然后以二元二次方程为传递函数,以嵌入维数变量为自变量,以延迟时间后的时间序列为因变量,通过内准则确定传递函数系数和外准则选择最优传递函数,并以最优传递函数的输出为下层迭代传递函数的输入,最后获得最优复杂度预测模型。算例结果表明:该方法对煤矿瓦斯涌出量预测的相对误差为-5.751 7% ~6.049 3%,平均相对误差2.145 7%,预测结果能满足煤矿安全生产实际工程应用要求。     

Analysis of the global warming dynamics from temperature time series

Global warming is the observed increase of the average temperature of the Earth. The primary cause of this phenomenon is the release of the greenhouse gases by burning of fossil fuels, land cleaning, agriculture, among others, leading to the increase of the so-called greenhouse effect. An approach to deal with this important problem is the time series analysis. In this regard, different techniques can be applied to evaluate the global warming dynamics. This kind of analysis allows one to make better predictions increasing our comprehension of the phenomenon. This article applies nonlinear tools to analyze temperature time series establishing state space reconstruction and prediction. Since noise contamination is unavoidable in data acquisition, it is important to employ robust techniques. The method of delay coordinates is employed for state space reconstruction and delay parameters are evaluated using the method of average mutual information and the method of false nearest neighbors. Afterwards, the simple nonlinear prediction method is employed to estimate temperatures of the future. Temperature time series from different places of the planet are used. Initially, the approach is verified considering known parts of the time series and afterwards, results are extrapolated for future values estimating temperature until 2028. Results show that these techniques are interesting to estimate temperature time history, presenting coherent estimations.     

Workaholism and daily recovery: A day reconstruction study of leisure activities

This study among 85 individuals used a day reconstruction approach to examine whether workaholism moderates the relationship between daily activities during non‐work time and daily well‐being in the evening (evening happiness, momentary vigor before bedtime, and momentary recovery before bedtime). Specifically, it was hypothesized that daily work‐related activities during the evening have a stronger negative relationship with daily well‐being for employees high (versus low) in workaholism and that daily physical and social activities have a stronger positive relationship with well‐being for employees high (versus low) in workaholism. The results of multilevel analyses largely supported the hypotheses for daily physical and work‐related activities but not for social activities during non‐work time. These findings imply that organizations should not encourage their employees and particularly those who score high on workaholism to work during non‐work time and instead promote physical exercise. Copyright © 2012 John Wiley & Sons, Ltd.     

Using Paleo Reconstructions to Improve Streamflow Forecast Lead Time in the Western United States

In water stressed regions, water managers are exploring new horizons that would help in long‐range streamflow forecasts. Oceanic‐atmospheric oscillations have been shown to influence streamflow variability. In this study, long‐lead time streamflow forecasts are made using a multiclass kernel‐based data‐driven support vector machine (SVM) model. The extended streamflow records based on tree ring reconstructions were used to provide a longer time series data. Reconstructed data were used from 1658 to 1952 and the instrumental record was used from 1953 to 2007. Reconstructions for oceanic‐atmospheric oscillations included the El Niño‐Southern Oscillation, Pacific Decadal Oscillation, Atlantic Multidecadal Oscillation, and North Atlantic Oscillation. Streamflow forecasts using all four oscillations were made with one‐year to five‐year lead times for 21 gages in the western United States. This is the first study that uses both instrumental and reconstructed data of oscillations in SVM model to improve streamflow forecast lead time. SVM model was able to provide “satisfactory” to “very good” forecasts with one‐ to five‐year lead time for the selected gages. The use of all the oscillation indices helped in achieving better predictability compared to using individual oscillations. The SVM modeling results are better when compared with multiple linear regression model forecasts. The findings are statistical in nature and are expected to be useful for long‐term water resources planning and management.     

装修改造对结构整体安全性影响分析

归纳了危害结构安全的主要装修改造行为,提出装修改造对结构安全性影响应以整体结构为研究对象,分析结构整体抗力的变化。以实际工程为例,对装修改造前后建筑结构进行设计复核,重点分析了建筑荷载增加、承重墙窗下墙拆除对结构安全性的影响。指出在各种装修因素综合作用下,结构承重体系发生改变,尤其是抗震薄弱构件的出现,使结构整体抗震能力大大降低。提出保证建筑结构安全性的合理化建议,对防止突发性灾害具有重要意义。     

车人碰撞事故再现技术研究进展

车人碰撞事故再现已成为国内外研究热点,提高结果可信性为事故再现的核心。根据事故再现所需痕迹将再现方法分为6类,即"行人抛距"、"车辆制动距离"、"行人损伤"、"车辆变形"、"其他"以及"仿真"。通过分析各类方法的优缺点,提出可综合利用这些方法获得客观、可信的事故再现结果。然后探讨提高车人碰撞事故再现结果可信性的新发展方向:开发国产、高精度的事故再现软件,研究事故再现结果的不确定性问题,以及研究痕迹间关系在事故再现中的应用。而其中仿真所得事故再现结果的不确定性问题、车人碰撞事故再现区间不确定优化方法以及事故现场痕迹间关系为值得期待的新研究内容。     

An integrated approach: managing resources for post-disaster reconstruction

A lack of resources for post-disaster housing reconstruction significantly limits the prospects for successful recovery. Following the earthquake in Wenchuan, China, in May 2008, housing reconstruction was not immune to resource shortages and price inflation. Difficulties in sourcing materials and labour considerably impeded recovery. This paper provides evidence of the resourcing bottlenecks inherent in the post-Wenchuan earthquake reconstruction process. Its aim is to present an integrated planning framework for managing resources for post-disaster housing rebuilding. The results are drawn from in-field surveys that highlight the areas where stakeholders need to concentrate effort, including revising legislation and policy, enhancing capacity for rebuilding in the construction industry, strengthening the transportation network, restructuring market mechanisms, and incorporating environmental considerations into overall planning. Although the case study presented here is country-specific, it is hoped that the findings provide a basis for future research to identify resourcing constraints and solutions in other disaster contexts.     

Tsunami survivors' perspectives on vulnerability and vulnerability reduction: evidence from Koh Phi Phi Don and Khao Lak, Thailand

This paper presents the results of primary research with 40 survivors of the 2004 Indian Ocean tsunami in two communities: Khao Lak (n=20) and Koh Phi Phi Don (n=20), Thailand. It traces tsunami survivors' perceptions of vulnerability, determines whether residents felt that the tsunami affected different communities differently, identifies the populations and sub-community groups that survivors distinguished as being more vulnerable than others, highlights community-generated ideas about vulnerability reduction, and pinpoints a range of additional vulnerability reduction actions. Tsunami survivors most consistently identified the 'most vulnerable' community sub-populations as women, children, the elderly, foreigners, and the poor. In Khao Lak, however, respondents added 'Burmese migrants' to this list, whereas in Koh Phi Phi Don, they added 'Thai Muslims'. Results suggest that the two case study communities, both small, coastal, tourism-dominated communities no more than 100 kilometres apart, have differing vulnerable sub-groups and environmental vulnerabilities, requiring different post-disaster vulnerability reduction efforts.     

湿润亚热带山地表土植硅体指示的垂直植被变化——以福建戴云山为例

表土植硅体组合与其上覆植被类型之间的关系研究是利用植硅体进行古气候和古植被重建的基础.选取位于湿润亚热带地区的戴云山作为研究对象,沿海拔梯度以50?—?100 m为间隔共采集21个表土样品,以探讨该地区表土植硅体组合对山地植被的指示意义.结果表明:戴云山表土植硅体含量丰富,类型多样,主要以禾本科类植硅体占优势;此外,随着海拔的升高,表土植硅体组合中哑铃型和短鞍型百分含量快速增加,而扇型和长鞍型,特别是木本类植硅体的百分含量则逐渐减少,指示了山地植被从温性针叶林向常绿灌丛林的过渡,说明戴云山表土植硅体组合能够反映山地垂直植被带变化的主要特征;植硅体类型主成分分析(PCA)结果显示位于湿润亚热带地区的戴云山表土植硅体组合变化可能主要受温度的控制.本研究为今后在湿润亚热带山地地区开展古气候和古植被重建研究提供了重要的基础资料.     

北宋后期黄河上游地区耕地格局重建——以河湟谷地为例

黄河上游的河湟谷地是人类活动历史悠久的地区之一,是黄河沿线耕地开垦的最西端,聚落和耕地重建对黄河流域人类活动和全球变化研究具有重要的现实意义。通过梳理大量历史文献资料,建立了北宋后期（1117年）河湟谷地聚落和耕地数据库,以聚落空间分布为基础,运用网格化模型,重建了北宋后期河湟谷地耕地格局。结果表明：（1）北宋后期河湟谷地聚落集中分布在黄河、湟水河干流沿岸海拔相对较低、坡度较缓的河流冲积和洪积平原。（2）河湟谷地的耕地总面积为304.67 km²,分配有耕地的网格仅占全区的16.16%,垦殖率最高的网格仅为24.16%,其中,湟水河谷耕地分布网格约占全部的74.06%,黄河干流约占25.94%,说明北宋后期耕地开垦主要集中在湟水河流域。（3）从聚落分布的海拔高度来看,大部分耕地网格分布在海拔2600 m以下的川水地区,说明当时耕地分布范围不大,海拔高度极大地限制了耕地的分布,耕地主要分布在灌溉条件相对优越的地区。（4）基于聚落重建耕地空间格局,其结果符合耕地随聚落分布的事实,更具有可靠性。