A High‐Resolution National‐Scale Hydrologic Forecast System from a Global Ensemble Land Surface Model

Warning systems with the ability to predict floods several days in advance have the potential to benefit tens of millions of people. Accordingly, large‐scale streamflow prediction systems such as the Advanced Hydrologic Prediction Service or the Global Flood Awareness System are limited to coarse resolutions. This article presents a method for routing global runoff ensemble forecasts and global historical runoff generated by the European Centre for Medium‐Range Weather Forecasts model using the Routing Application for Parallel computatIon of Discharge to produce high spatial resolution 15‐day stream forecasts, approximate recurrence intervals, and warning points at locations where streamflow is predicted to exceed the recurrence interval thresholds. The processing method involves distributing the computations using computer clusters to facilitate processing of large watersheds with high‐density stream networks. In addition, the Streamflow Prediction Tool web application was developed for visualizing analyzed results at both the regional level and at the reach level of high‐density stream networks. The application formed part of the base hydrologic forecasting service available to the National Flood Interoperability Experiment and can potentially transform the nation's forecast ability by incorporating ensemble predictions at the nearly 2.7 million reaches of the National Hydrography Plus Version 2 Dataset into the national forecasting system.     

中国地理资源期刊集群微信融平台经营的实践与经验

随着官媒时代的终结,以微信公众号为代表的新媒体的盛行,强烈地冲击着传统纸媒。微信公众号能够增加期刊与读者群之间的“粘性”,从而扩大期刊的学术影响力和社会知名度。在中国地理资源期刊网微信公众号的运行实践基础上,系统总结期刊微信融平台经营的实践与经验,并以《地理研究》等数据为例,阐述微信推送对期刊产生的综合作用,以期为科研微信融平台的运行提供指导和借鉴意义。研究结果表明：（1）科研微信融平台上生产好微推需遵守十四条原则、十一条创意要求;（2）坚持不懈地在微信公众号上发送消息,可以增加编辑与读者之间的交流、拓展读者范围、增加文章的下载量和被引量,从而树立学术期刊的品牌形象,提升期刊的学术影响力;（3）集群化的科研微信融平台的运行,一定要注意共同维护平台形象、谁制作谁负责、合理安排发文量和发文时间、个刊微平台实现互补等。持续地创意和推出微推,需要长期坚持,把期刊编辑和学术研究、移动互联时代、全媒体手段等积极“融”起来,实现期刊由传统纸质出版向富媒体出版、期刊由文献生产者向学科与社会集成型知识服务提供平台的两大根本性转型,才是期刊的根本出路。     

Characteristics of PM10, PM2.5, CO2 and CO monitored in interiors and platforms of subway train in Seoul, Korea

This study was performed to investigate the concentration of PM₁₀ and PM_2.5 inside trains and platforms on subway lines 1, 2, 4 and 5 in Seoul, KOREA. PM₁₀, PM_2.5, carbon dioxide (CO₂) and carbon monoxide (CO) were monitored using real-time monitoring instruments in the afternoons (between 13:00 and 16:00). The concentrations of PM₁₀ and PM_2.5 inside trains were significantly higher than those measured on platforms and in ambient air reported by the Korea Ministry of Environment (Korea MOE). This study found that PM₁₀ levels inside subway lines 1, 2 and 4 exceeded the Korea indoor air quality (Korea IAQ) standard of 150 μg/m³. The average percentage that exceeded the PM₁₀ standard was 83.3% on line 1, 37.9% on line 2 and 63.1% on line 4, respectively. PM_2.5 concentration ranged from 77.7 μg/m³ to 158.2 μg/m³, which were found to be much higher than the ambient air PM_2.5 standard promulgated by United States Environmental Protection Agency (US-EPA) (24 h arithmetic mean: 65 μg/m³). The reason for interior PM₁₀ and PM_2.5 being higher than those on platforms is due to subway trains in Korea not having mechanical ventilation systems to supply fresh air inside the train. This assumption was supported by the CO₂ concentration results monitored in tube of subway that ranged from 1153 ppm to 3377 ppm. The percentage of PM_2.5 in PM₁₀ was 86.2% on platforms, 81.7% inside trains, 80.2% underground and 90.2% at ground track. These results indicated that fine particles (PM_2.5) accounted for most of PM₁₀ and polluted subway air. GLM statistical analysis indicated that two factors related to monitoring locations (underground and ground or inside trains and on platforms) significantly influence PM₁₀ (p < 0.001, R² = 0.230) and PM_2.5 concentrations (p < 0.001, R² = 0.172). Correlation analysis indicated that PM₁₀, PM_2.5, CO₂ and CO were significantly correlated at p < 0.01 although correlation coefficients were different. The highest coefficient was 0.884 for the relationship between PM₁₀ and PM_2.5.     

大气化学仪器测量进展

从平流层和对流层的大气化学过程入手，分析了研究各个反应所采用的测量手段；从当前大气化学的发展要求提出了理论研究和模式建立中对仪器测量手段的要求。并且从测量坪台这一角度分析了目前在大气化学领域使用的主要测量仪器和手段。     

武钢一炼钢厂平炉跨间7.15m平台钢梁加固

简述了针对平台粱变形进行加固改造,以提高其使用寿命的方法.     

系留气球垂直观测平台的构建与应用

利用1 600 m~3车载系留气球,构建大气复合型污染垂直观测平台。利用该平台对近地大气边界层的多种气象要素、多种污染物浓度水平及其物理化学特性进行高分辨的垂直测量,用以研究大气边界层的形成和演变及大气污染物垂直分布和变化特征、大气光化学过程的垂直变化以及污染物的区域输送。该平台以0.5 m/s的速度进行升降,于2013年12月在上海成功应用于大气污染垂直观测,观测中共获取大气污染物有效廓线50余组。利用观测数据,初步探索上海近地层复合型大气污染的生消机制及大气污染物垂直分布特征,为上海市空气污染预警和防控对策机制的制定提供技术支撑。     

突发环境事件应急管理信息化平台研究与实践

介绍了近年来国内外应急管理平台的建设情况,就系统建设和制度建设中容易出现的一些问题进行了探讨,并以沈阳市环境应急综合管理信息系统为例,介绍了基于突发事件应急管理框架的环境应急管理系统事前预防、事中应急和事后恢复的3个功能模块及该系统的一些特点。     

极端海况下海洋石油结构的风险评估

根据中国海上石油工业缺乏独立的风险评价体系的现状 ,笔者对极端海况进行了环境荷载的联合概率分析 ,利用随机模拟技术 ,求解结构的失效概率 ,提出结构失效分析的新方法 ,并利用DNV提供的历史数据 ,对结构失效的后果做了适当分析。以埕北 12 C井组平台作为实例 ,对平台甲板高程 (AirGap)失效分析进行了实例计算。结果表明 ,使用多维联合极值分布理论及相应的求解方法 ,是离岸工程结构物风险评估的重要手段。     

基于灰水足迹和熵值法的苏锡常地区水敏感性行业识别

水敏感性行业的识别对于行业整治和水环境保护具有重要指导意义.为了识别太湖流域的水敏感性重点行业,为进一步开展行业整治提供参考,基于全国排污许可证管理信息平台提供的企业排污数据,运用灰水足迹及其熵值法改进的核算方法,对太湖流域苏州、无锡、常州（苏锡常）三市主要制造业的污染物排放数据进行分析,结果表明：①在不同方法产生的排序结果中,纺织业的水敏感性始终占据第一位;②除纺织业外,还应重点关注以下几个水敏感性行业：化学原料和化学制品制造业、金属制品业以及造纸和纸制品业;③常州的黑色金属冶炼和压延加工业是其特色行业.对比于其他文献对于太湖流域重点行业的定义,本研究的排序结果比较相近,证明了方法的有效性.     

基于EAM的水环境数据平台的设计与实现

通过研究水环境管理中的数据库或数据平台的规范建设模式,提出了基于EAM的水环境数据平台建设方法,采取EAM方法设计了分层数据库,引入了数据集市对业务模板分类管理,构建了多数据库兼容技术和算法生成模块,综合建设出一套适合大数据管理要求的水环境数据平台。实践表明,这种方法构建的数据平台,能有效解决目前多系统、多数据、应用需求动态变化、以及数据安全的问题,有利于提升水环境大数据建设的基础。