A scoping review of post-disaster social support investigations conducted after disasters that struck the Australia and Oceania continent

This scoping review provides a summary of research findings on social support dynamics in the wake of disasters that occurred on the continent of Australia and Oceania between 1983 and 2013. Forty-one studies, quantitative and qualitative, were summarised, investigating different facets of post-disaster supportive interactions. All inquiries assessed disasters resulting from natural hazards, with the majority of them conducted following events in Australia and New Zealand. The review revealed similar patterns of post-disaster social support dynamics that routinely unfold after disastrous incidents all over the world. Consistent with the disaster mental health literature, the documentation of social support mobilisation and social support deterioration processes was common. Salutary direct effects of supportive behaviours on post-disaster psychological distress were also highly evident. Most studies, however, posed research questions or hypotheses that lacked empirical or theoretical grounding. In conclusion, the review offers several recommendations on how to advance research on post-disaster social support.     

深部“三软”高应力软岩巷道卸压耦合支护技术

为解决杨河煤业高应力软岩巷道的支护问题,对杨河煤业深部软沿巷道变形破坏特征及原因进行分析,提出支架-锚杆-围岩卸压耦合支护技术,并结合42轨道下山试验巷道对耦合卸压支护技术参数进行阐述,通过矿压观测结果可知:42轨道下山在采用卸压耦合支护技术后,有效控制了巷道强烈变形。     

An Objective Multiattribute Analysis Approach for Allocation of Scarce Irrigation Water Resources1

Zardari, Noor ul Hassan, Ian Cordery, and Ashish Sharma, 2010. An Objective Multiattribute Analysis Approach for Allocation of Scarce Irrigation Water Resources. Journal of the American Water Resources Association (JAWRA) 46(2):412-428. DOI: 10.1111/j.1752-1688.2009.00410.x Abstract: In this study, end user (farmer) and decision maker (water allocator) opinions were surveyed and a conjoint analysis (CA) based method was applied to the quantitative and qualitative data to assess the utility associated with each attribute that plays a role in forming the final thinking of the water users. The application of CA for estimating the utility for each attribute level is a novel approach, which helps provide a formal, objective basis for assigning relative scales for each attribute interval within a multiattribute decision-making model. The utilities (part-worths) obtained from the CA have a cardinal scale and were found to be comparable within and across the attributes. A farmers’ survey on five water allocation attributes was completed from 62 farmers and their opinions on the relative importance of attributes were elicited for a subarea of the Indus River Basin. The CA method was then applied to the survey data and the utilities for each attribute level were determined. This allowed, for instance, decisions to be made, which take account of the perceived value of the water and of the availability of local labor to work on the farm. Finally, these interval scales were used within the specification of the ELECTRE multiattribute decision-making method to provide a complete and objective ranking of nine irrigation districts so that the best decisions on water allocation could be made.     

西部地区工业发展的比较优势分析

西部大开发实施以来,西部地区经济发展迅速,在产业结构升级和优化上取得了较大成绩.对西部地区1997-2006年的相关工业数据进行了分析,从总量、结构以及比较优势等方面加以把握,归纳出西部地区工业发展的几个显著特点以及成因,提出一些对策思路,主要包括:培育国家政策扶持机制,强化科技投入增长的保障机制,建设具有西部特色和优势的区域创新体系,健全金融体系等.     

水污染突发事件：演化模型与应急管理

概述了突发事件演化研究的现状,总结了现阶段中国水污染突发事件的典型案例,研究了事件的演化过程,提出把社会因素和全过程干预作为水污染突发事件演化动因的一个重要方面,并在此基础上分析了水污染突发事件演化的主要动力因素,运用灾害学、应急管理、环境科学等相关理论构建了事件演化的动力因素体系,最后从系统分析的角度构建了水污染突发事件演化模型。研究表明：社会因素和应急干预对水污染突发事件的演化具有推动作用;事件演化具有阶段性,不同阶段的动力因素存在差异;水污染突发事件应急管理具有多目标性,单一目标应急管理不能有效控制水污染突发事件演化。研究水污染突发事件演化机理可为政府有效地预警与事件初期的应急决策提供重要的理论依据。     

大尺寸大孔径TiO_2/SiO_2光催化剂的制备及甲醛去除研究

以大孔径SiO2为载体,通过钛酸丁酯溶液的浸渍、原位水解以及高温煅烧制备出大尺寸、大孔径的TiO2/SiO2光催化剂。利用自制空气净化装置对室内甲醛的清除进行研究,分别考察了TiO2的百分含量、紫外光光强、温度、湿度和空气流量等不同条件下TiO2/SiO2光催化剂对除去甲醛效率的影响。结果表明,反应温度从10～50℃依次升高,去除率逐渐下降。在相对湿度为50%,TiO2负载率为55.6%,流量为8 m3/h时,甲醛的最佳除去率达96.5%;经过7周时间的考察,发现TiO2/SiO2光催化剂的催化活性没有明显的下降。     

采用支持向量机算法优化电化学处理油田污水的工艺参数

采用支持向量机(SVM)算法,将Box-Behnken设计法与支持向量回归算法(SVR)实验参数优化软件相结合,优化电化学去除油田污水COD的工艺参数。通过量子粒子群算法对SVM算法参数进行优化,从建立的回归模型中找到工艺参数的全局最佳点:电解时间60 min,电解电流3 A,三维电极填充料中石英砂质量695 g。模型得到的COD理论最优去除率为92.48%,验证实验得到的COD去除率为91.43%。     

TiO2载体对Mn-Ce/TiO2催化剂脱硝活性的影响

以TiO₂为载体,选取过渡金属元素Mn为活性组分,稀土金属元素Ce为活性助剂,采用分步共混法制备了Mn-Ce/TiO₂催化剂（活性组分负载量16%）,系统研究了TiO₂载体的晶型和晶粒尺寸对催化剂脱硝活性的影响。实验结果表明：分别以锐钛矿型和金红石型TiO₂为载体制备的催化剂,其低温脱硝活性相差不大,活性组分均以无定型态高度分散于载体中,以金红石型TiO₂为载体制备的催化剂中部分TiO₂转变为锐钛矿型;以不同晶粒尺寸TiO₂载体制备的催化剂的低温脱硝活性相差较大,比表面积较大、晶粒尺寸较小的TiO₂载体制备的催化剂,其脱硝活性低于晶粒尺寸较大的TiO₂载体制备的催化剂。     

A Comprehensive Python Toolkit for Accessing High‐Throughput Computing to Support Large Hydrologic Modeling Tasks

The National Flood Interoperability Experiment (NFIE) was an undertaking that initiated a transformation in national hydrologic forecasting by providing streamflow forecasts at high spatial resolution over the whole country. This type of large‐scale, high‐resolution hydrologic modeling requires flexible and scalable tools to handle the resulting computational loads. While high‐throughput computing (HTC) and cloud computing provide an ideal resource for large‐scale modeling because they are cost‐effective and highly scalable, nevertheless, using these tools requires specialized training that is not always common for hydrologists and engineers. In an effort to facilitate the use of HTC resources the National Science Foundation (NSF) funded project, CI‐WATER, has developed a set of Python tools that can automate the tasks of provisioning and configuring an HTC environment in the cloud, and creating and submitting jobs to that environment. These tools are packaged into two Python libraries: CondorPy and TethysCluster. Together these libraries provide a comprehensive toolkit for accessing HTC to support hydrologic modeling. Two use cases are described to demonstrate the use of the toolkit, including a web app that was used to support the NFIE national‐scale modeling.     

Gender differences in relation to wayfinding strategies, navigational support design, and wayfinding task difficulty

This study investigated user wayfinding navigational performance in terms of two navigational support designs (guide sign and you-are-here map, i.e., YAH), wayfinding strategies (egocentric/route and allocentric/survey), task difficulty (terrestrial/2D or weightless/3D), and gender differences. Eighty participants (40 males and 40 females) were recruited for the wayfinding experiment. The experimental results and statistical analysis indicated that, in the weightless VR scene, navigation time for the terrestrial/2D task type was significantly shorter than for the weightless/3D task type. The guide sign support was significantly more effective than YAH map support. Moreover, the interactions between support style and gender difference indicated that males exhibit better wayfinding performance than females, but that appropriate support can improve navigational performance and eliminate gender differences. In addition, the Way-Finding Strategy Scale result showed that the females were more likely to adopt the egocentric strategy while males were more likely to adopt the allocentric strategy, and that their scores were negatively correlated with navigational performance. Our results can be used to evaluate the interface designs of navigational support systems taking into consideration gender differences with respect to 3D VR games, including VR diving or flying navigational systems.