氢安全研究现状及面临的挑战

氢能具有储运便捷、来源多样、洁净环保等突出优点,许多国家把发展氢能作为重要的能源战略。氢安全是氢能大规模商业化应用的重要保障。在分析国内外氢安全领域近年来最新研究进展的基础上,依次从氢泄漏与扩散、氢燃烧与爆炸、氢与金属材料相容性及氢风险评价等方面,系统总结了国内外氢安全研究面临的挑战,并对我国氢安全的发展提出了建议。     

企业建设项目竣工环境保护自主验收工作初探

简述了企业建设项目竣工环境保护自主验收政策的出台背景,介绍了自主验收目前取得的成效。针对现阶段工作中存在的自主验收缺乏有效监管及配套的技术支撑、企业主体责任意识不强等问题,提出了完善监督管理制度、提高企业主体责任意识、加强第三方验收监测机构管理、开展验收技术培训、规范建设项目变动认定管理等建议。     

海岛居民环境友好行为及其影响因素研究--以长岛县为例

海岛是海洋生态系统的重要组成部分,保护海岛生态环境是推进海洋生态文明建设、保护海洋生态环境的重要方面。海岛居民是保护海岛生态环境的主体之一,研究海岛居民环境友好行为的影响因素,引导和鼓励海岛居民主动采取环境友好行为是改善海岛生态环境的有效途径。本研究在梳理国内外相关文献的基础上,对海岛居民环境友好行为的概念、类型及影响因素进行理论分析,建立包含生态管理行为、消费行为、说服行为、公民行为四个环境友好行为变量,环境态度、环境保护知识、环境经历、社会政策、行为约束五个影响因素变量在内的理论模型。结合海岛生态环境和海岛居民的特点,设计海岛居民版环境友好行为测量量表,并在长岛县进行问卷调查,运用描述性统计分析、结构方程模型分析探究海岛居民环境友好行为的影响因素及影响因素间的内在关系。研究发现:①海岛居民环境友好行为总体水平差异较大,难度较低的环境友好行为实施较好,而难度较高的实施较差;影响因素变量中,环境态度积极,环境经历丰富,环境保护知识掌握较好,相关社会政策较为不利,行为约束偏中性。②环境态度、环境经历、社会政策对海岛居民环境友好行为具有显著正向影响。③环境保护知识对环境态度具有显著正向影响,但对海岛居民环境友好行为无显著影响,存在“知易行难”现象。行为约束对海岛居民环境友好行为无显著影响。④环境经历不仅直接影响海岛居民环境友好行为,而且通过环境态度对海岛居民环境友好行为施加间接影响。基于研究结论,提出了改善海岛居民环境友好行为的对策建议。     

基于多孔环形喷嘴的可燃爆粉尘分散特征的密度效应研究*

为了研究不同密度的可燃爆粉尘在内置多孔环形喷嘴的20 L爆炸特性测试装置中的分散特征，基于负载粒子流方法、耦合DPM动量平衡方程和时间平均 Navier Stokes控制方程组，实现3种不同密度的煤粉、铝粉和锆粉在20 L爆炸测试装置中粉尘分散全过程的数值模拟。研究结果表明:多孔环形喷嘴的分散较为均匀，但是约束管道末端存在局部粉尘残留区，致使爆炸仓内真实粉尘浓度远低于形式浓度；爆炸仓中心位置的最大湍动能随着粉尘密度的增加而减小，只有显著地变化粉尘密度才能展示区分度较高的浓度峰值和抵达浓度峰值的时间。     

海洋陆源污染的产生原因与防治模式

海洋陆源污染是陆域经济社会活动行为及其对海洋生态环境造成的负面影响进而出现的污染性问题。累积性的陆源排污不仅会对海洋环境容量造成不良影响,同时也会对海洋自净能力造成减弱影响,不利于沿海地区的经济发展。目前,关于海洋陆源污染问题的防治工作刻不容缓,本文就从多个方面进行统筹规划与科学部署,通过深入掌握海洋陆源污染的具体成因,提出了针对性防治模式,以期为相关人员提供一定的借鉴价值。     

基于新常态下环境监察执法的难点和重点分析

随着社会经济的发展和人民生活水平的日益提高,广大人民对环境的要求也达到了一个新的高度。在新常态下,如何加强环境监察执法力度与效率、高效解决环境问题、改善生态环境,成为普遍关注的问题。本文从当下环境监察执法工作中的重点与难点出发,分析了新常态下的环境局势,并给出了几点新常态背景下高效开展环境监察执法工作的措施,以期能够改进环境监察执法现状,促进环境问题的早日解决。     

甜菜制糖生产废水提标改造设计分析

食品废水处理对我国的经济发展以及环境业提高具有重要的推动作用。本文以某制糖厂为例,对甜菜制糖废水处理站的提标改造工程进行详细分析,在此基础上进行合理设计。     

2004—2017年浙江省较大以上生产安全事故统计分析

为充分探究浙江省生产安全事故发生规律,以2004—2017年浙江省生产安全事故为研究对象,从事故发生的时间关系、区域分布、行业分布、事故类型分布等方面对全省总体、工矿商贸领域、化工领域、典型危险作业4个分类的较大以上事故特点进行了剖析研究;并从政府监管的角度,提出事故防范的措施和建议。     

Improving pedestrian safety using combined HOG and Haar partial detection in mobile systems

Objective: The objective of this study is to develop a novel algorithm on a mobile system that can warn drivers about the possibility of a collision with a pedestrian. The constraints of the algorithm are near-real-time detection speed and a good detection rate.

Method: Histogram of gradients (HOG)-based detection is widely used in pedestrian safety applications; however, it has low detection speed for real-time systems. Hence, it has no direct usage for mobile systems. In order to achieve near-real-time detection speed, partial Haar transform predetections are applied to an image before HOG detection. The partial and HOG detections are merged and a score-based confidence level is defined for the final detection phase. In this way, the outcome is prioritized and different warning levels can be issued to warn the driver before a possible pedestrian collision.

Results: The proposed algorithm provides an increase in detection speed (from 46 to 76 fps) and detection rate (from 80 to 91%) with respect to HOG-based pedestrian detection. It also improves confidence of the results by multidetection merging and score assignment to detections.

Conclusions: Performance improvement of the algorithm is compared with respect to state-of-the-art detectors/algorithms. Based on the detection rate and detection speed performance, it can be concluded that the proposed algorithm is suitable to be used for mobile systems to warn drivers about the possibility of collision with a pedestrian.     

Assessing disabling and non-disabling injuries and illnesses using accepted workers compensation claims data to prioritize industries of high risk for Oregon young workers

Introduction: Young workers are especially vulnerable to occupational injuries and illnesses. There is a continued need to investigate injury burden among young workers across demographics and industry to inform targeted interventions. Workers compensation (WC) claims are important for quantifying work-related injuries and illnesses, however published studies have focused on disabling claims. This study extended previous research on Oregon young workers by including the most recent WC claims data to identify patterns of injury and high risk industries. Methods: We obtained all accepted disabling claims (N = 13,360) and a significant portion of non-disabling claims (N = 24,660) on workers aged 24 years and under from 2013 to 2018. Claim count, rate and cost were calculated by year, age, gender, industry, and injury type. A prevention index (PI) method was used to rank industries in order to inform prevention efforts. Results: Average annual disabling and non-disabling claim rates were 111.6 and 401.3 per 10,000 young workers. Workers aged 19–21 (disabling: 119.0 per 10,000 and non-disabling: 429.3) and 22–24 years (115.7 and 396.4) and male workers (145.3 and 509.0) had higher claim rates than workers aged 14–18 (80.6 and 297.0) and female workers (79.8 and 282.9). The most frequent injury types were “struck by/against” (35.6%) and “work-related musculoskeletal disorders (WMSDs)” (19.5%). High risk industries included agriculture, construction, and manufacturing for both genders combined. For female young workers, the highest risk industry was healthcare. Conclusions: This study demonstrated the added value of non-disabling WC claims data. Using both disabling and non-disabling data and PI method, agriculture, construction, manufacturing and healthcare industries were identified as priority workplaces to prevent common and costly injuries among Oregon young workers. Practical Applications: While the industries identified are considered hazardous for all workers, findings in this study can guide targeted research and prevention efforts specific to young workers.