RFID技术在化学危险品物流管理中的技术示范和应用

文中针对危险品在物流中容易造成安全事故的现象,介绍了RFID技术及其在危险品物流三大方式中的应用,指出RFID技术能够从根本上解决危险品物流中的安全隐患,以提高整个危险品管理中的安全性,同时提出今后在安全监管方面应采取的措施和技术改进应注意的事项,并展望其应用前景。     

新疆人影作业点标准化建设中监控系统的设计

本文根据新疆人影作业点标准化建设的需求,参照《安全防范工程技术规范》等相关国标及部标,相关规定等,提出一套采用计算机多媒体技术、音视频技术、现代通信技术、自动控制技术等,形成的多功能、综合性的智能化监控系统方案。     

农户气象感知对购买天气指数保险意愿的影响——以山西岢岚和江苏南通430食用豆户为例

目的 综合已有研究发现,学者忽略了农户的气象认知对其天气指数保险购买意愿的影响。方法 文章基于山西省岢岚和江苏省南通市430食用豆种植户的实地问卷调查数据,运用Probit模型分析食用豆种植户对气象（如平均气温、平均降雨、干旱、霜冻等的发生次数及严重程度）的感知对其购买天气指数保险意愿的影响。结果 （1）食用豆种植户的气象感知显著地影响其购买天气指数保险的意愿。此外,食用豆种植户的村干部经历和兼业户身份对其购买天气指数保险产生正向且显著的影响;（2）而家庭人口数以及是否有专门的食用豆贮藏场所等对食用豆种植户购买天气指数保险产生负向且显著的影响。结论 因此,在食用豆种植户中推广天气指数保险应关注到其气候的感知,可以通过多种方式（例如公益宣传片、教育培训等,线上线下、网络电视手机、书籍宣传册等）宣传气候变化对食用豆种植的危害,强化食用豆种植户的风险管理意识,进而提高其购买天气指数保险的意愿。     

A tentative study on security management based on dangerous goods road transportation

The paper conducts analysis on the causes of dangerous goods road transportation accidents by applying analytic technique of security system science - Event Tree Analysis （ETA）. By computing minimum cut and minimal path set of event tree and the important level of elementary event, the paper elicits the results that the factors of causing road transportation accident are multiple and its hazard is great while the paper also elicits the sorting of structural important level of elementary event. The paper offers the security countermeasures for dangerous goods road transportation which plays a vital role in safeguarding dangerous goods road transportation security.     

China,More than Self-Sufficient

At the moment,the whole world faces the most severe inflation in food prices in history,as grain and soybean prices climb to all-time highs.Although some observers blame the weather for the decrease in crop yields and that the growing demand for cereals used for bio-fuel production has conspired toward continuous price rises on world grain ma ket;others regard it simply as a matter of demand outpacing supply.In seven of the last eight years,world grain production has fallen behind rates of consumption.     

The forecasting ability of solar and space weather data on NASDAQ’s finance sector price index volatility

We examine the impact of solar and space weather events on the Financial Select Sector SPDR Fund (XLF) price index volatility, spanning the period 1998-2018. Comparing MAPE and RMSFE forecasting criteria, for the ARIMA-GARCH model, augmented with exogenous variables, we find that solar and space weather variables contribute statistically significant information with regard to volatility forecasting.     

Operational solar forecasting for the real-time market

Despite the significant progress made in solar forecasting over the last decade, most of the proposed models cannot be readily used by independent system operators (ISOs). This article proposes an operational solar forecasting algorithm that is closely aligned with the real-time market (RTM) forecasting requirements of the California ISO (CAISO). The algorithm first uses the North American Mesoscale (NAM) forecast system to generate hourly forecasts for a 5-h period that are issued 12 h before the actual operating hour, satisfying the lead-time requirement. Subsequently, the world’s fastest similarity search algorithm is adopted to downscale the hourly forecasts generated by NAM to a 15-min resolution, satisfying the forecast-resolution requirement. The 5-h-ahead forecasts are repeated every hour, following the actual rolling update rate of CAISO. Both deterministic and probabilistic forecasts generated using the proposed algorithm are empirically evaluated over a period of 2 years at 7 locations in 5 climate zones.     

The contribution of weather variability to economic sectors

Every day, people make economic decisions based on the weather, affecting sales of companies in a wide range of economic sectors. In many cases, the impact of weather on sales is not constant from one season to the next. Yet, the existing research to estimate the influence of temperature on annual sales has not analysed the relationship per season, resulting in potential washout effects and underestimated weather impacts. Drawing upon French economic sectors for empirical evidence, we break down the analysis of the relationship between weather and monthly sales by season. Our methodology provides the cumulative annual contribution of weather to sales and allows deriving the maximum potential annual impact of adverse weather. With our results, analysts and risk managers can better understand the exposure to abnormal weather and consider the potential benefits of mitigating weather risk using the weather parameters we identify to structure bespoke index-based financial instruments.     

恶劣气候对交通安全的影响及对策研究

恶劣气候对道路交通安全畅通有着巨大影响,与交通事故的发生之间也存在着许多内在的联系。研究恶劣气候与交通安全之间的内在联系,采取有针对性的预防措施,从而消除恶劣气候对交通安全的消极影响,对于预防和减少交通事故有着十分重要的意义。     

基于GIS技术的危险化学品物流系统的风险管理

以GIS的空间信息系统为依托,运用风险管理的方法,对危险化学品物流系统中各个环节的风险加以评估,从控制损失的角度分析了相应的决策方法。