山东省环境应急演练污染标示物释放实验

山东省环境应急演练要求投放污染标示物进行真实性监测。为了保证演练顺利开展,选择三氯化铁作为污染标示物,在胜利河郭家桥—四马桥11.34 km河段进行了释放实验。实验结果证明三氯化铁做标示物是可行的,并对三氯化铁的释放流量、演练需用量和河段的沉降系数进行了确定。     

地震灾害紧急救援队伍救援行动的规范

介绍了制定地震灾害紧急救援队伍行动规范的背景,阐述了地震灾害紧急救援队伍行动的阶段,给出了地震现场灾害紧急救援队伍行动规范的内容。该规范将有效地规范和协调地震灾害紧急救援队伍的救援行动,提高救援能力与效率,最大限度地减少人员伤亡。     

How Grammatical Choice Shapes Media Representations of Climate (Un)certainty

Although mass media continue to play a key role in translating scientific uncertainty for public discourse, communicators of climate science are becoming increasingly aware of their own role in shaping scientific messages in the news. As an example of how future media research can provide relevant feedback to climate communicators, the present study examines the ways in which grammatical and word choices represent and construct uncertainty in news reporting about the Intergovernmental Panel on Climate Change (IPCC). Qualifying and hedging language and other “epistemic markers” are analyzed in four newspapers during 2001 and 2007: the New York Times and Wall Street Journal from the USA and El País and El Mundo from Spain. Though the US newspapers contained a higher density of epistemic markers and used more ambiguous grammatical constructs of uncertainty than the Spanish newspapers, all four media sources chose similar words when questioning the certainty around climate change. Moreover, the density of epistemic markers in each newspaper either remained the same or increased with time, despite ever-growing scientific agreement that human activities modify global climate. While the US newspapers increasingly adopted IPCC language to describe climate uncertainties, they also exhibited an emerging tendency to construct uncertainty by highlighting differences between IPCC reports or between scientific predictions and observations. The analysis thus helps identify articulations of uncertainty that will shape future media portrayals of climate science across varying cultural and national contexts.     

A deep model method for recognizing activities of workers on offshore drilling platform by multistage convolutional pose machine

The growing diversity of image scenes brings a great challenge to human activity recognition in practice. Traditional activity recognition methods cannot satisfy the demand of precise action recognition in complex scenes. In this work, we build a training set of worker's activities on offshore drilling platform by collecting data from offshore drilling monitor, and then an improved multi-level convolutional pose machine (MCPM) method is proposed and trained to recognize activities of workers on the platforms. In human object detection, a multi-rule region proposal marker algorithm is developed to separate the seawater area, and the ducts of similar personnel is pre-discriminated by support vector machine. We use the characteristics of the human body key-points not affected by complex background noise to assist the detection of the human target. As results, it shown that our method performs better than Faster-RCNN, MobileNet-SSD and SSD algorithms in detecting human target on the offshore drilling platform, and achieves well accuracy in recognizing many key activities. To our best acknowledge, it is the first attempt of using deep model to recognize worker's activities on offshore drilling platform.     

高效液相色谱-串联三重四级杆质谱法测定土壤中苦味酸和联苯胺

为测定被污染土壤中的低浓度苦味酸和联苯胺,研究建立了一种基于高效液相色谱-串联三重四级杆质谱检测技术的分析方法,实现了超声波乙酸乙酯溶剂萃取后直接进样的高效定性和定量检测。研究表明,在0.5～100.0μg/L质量浓度范围内,目标化合物的线性关系良好(r0.999 9),苦味酸、联苯胺的检出限分别为0.16、0.30μg/kg,精密度相对标准偏差为1.5%～5.8%,加标回收率范围为70.1%～111.0%。该方法灵敏度高、前处理步骤简便,适用于低含量苦味酸和联苯胺的土壤测定。实验表明,以碱性木素为原料,采用热解法在氮气氛围下600℃煅烧得到的生物质炭,对土壤中联苯胺的去除率高达98.2%,对苦味酸的去除率超过50%,可有效实现污染土壤的修复。     

安全工程专业本科专业规范的研究与探讨

专业规范是规范、指导本科教学的重要手段。根据教育部关于规范编制的有关文件要求和安全学科基本理论基础,自2005年以来的3年研究与编制工作,已完成安全工程专业本科专业规范的阶段性版本。起草组和业界学者共同完成的征求意见稿中,对专业的发展方向、主干学科、培养目标等方面做了比较明确的描述,设计了知识体系及其所包含的知识领域、知识单元等。同时,课程体系、专业特色的构建也得到较充分考虑。但是,规范的研究是一项很复杂的系统工程,仍需在学科基本问题的认识、知识体系框架设计、知识点的具体化等方面广泛吸收各方面的意见。     

部分酯类化合物对四膜虫毒性的全息QSAR分析

全息定量结构活性相关分析(HolographicQSAR或HQSAR)能快速而简便的产生高统计质量和预测能力的QSAR模型。采用HQSAR分析了30个酯类化合物对四膜虫的毒性与分子结构之间的关系,及分子碎片大小和全息长度对QSAR模型的影响,得到的最佳QSAR模型的R2为0.981,Q2为0.912。此外还应用色码讨论了离群值产生的可能原因。