VGI and crowdsourced data credibility analysis using spam email detection techniques

Volunteered geographic information (VGI) can be considered a subset of crowdsourced data (CSD) and its popularity has recently increased in a number of application areas. Disaster management is one of its key application areas in which the benefits of VGI and CSD are potentially very high. However, quality issues such as credibility, reliability and relevance are limiting many of the advantages of utilising CSD. Credibility issues arise as CSD come from a variety of heterogeneous sources including both professionals and untrained citizens. VGI and CSD are also highly unstructured and the quality and metadata are often undocumented. In the 2011 Australian floods, the general public and disaster management administrators used the Ushahidi Crowd-mapping platform to extensively communicate flood-related information including hazards, evacuations, emergency services, road closures and property damage. This study assessed the credibility of the Australian Broadcasting Corporation’s Ushahidi CrowdMap dataset using a Naïve Bayesian network approach based on models commonly used in spam email detection systems. The results of the study reveal that the spam email detection approach is potentially useful for CSD credibility detection with an accuracy of over 90% using a forced classification methodology.     

Future Changes in Extreme High Temperature over China at 1.5℃-5℃ Global Warming Based on CMIP6 Simulations

Extreme high temperature(EHT)events are among the most impact-related consequences related to climate change,especially for China,a nation with a large population that is vulnerable to the climate warming.Based on the latest Coupled Model Intercomparison Project Phase 6(CMIP6),this study assesses future EHT changes across China at five specific global warming thresholds(1.5℃-5℃).The results indicate that global mean temperature will increase by 1.5℃/2℃ before 2030/2050 relative to pre-industrial levels(1861-1900)under three future scenarios(SSP1-2.6,SSP2-4.5,and SSP5-8.5),and warming will occur faster under SSP5-8.5 compared to SSP1-2.6 and SSP2-4.5.Under SSP5-8.5,global warming will eventually exceed 5℃ by 2100,while under SSP1-2.6,it will stabilize around 2℃ after 2050.In China,most of the areas where warming exceeds global average levels will be located in Tibet and northern China(Northwest China,North China and Northeast China),covering 50%-70%of the country.Furthermore,about 0.19-0.44 billion people(accounting for 16%-41%of the national population)will experience warming above the global average.Compared to present-day(1995-2014),the warmest day(TXx)will increase most notably in northern China,while the number of warm days(TX90p)and warm spell duration indicator(WSDI)will increase most profoundly in southern China.For example,relative to the present-day,TXx will increase by 1℃-5℃ in northern China,and TX90p(WSDI)will increase by 25-150(10-80)days in southern China at 1.5℃-5℃ global warming.Compared to 2℃-5℃,limiting global warming to 1.5℃ will help avoid about 36%-87%of the EHT increases in China.     

不同结构林带防风效能风洞模拟

防风林带结构是影响防风效能的主要因素。建立不同宽度、不同株行距林带防风效能与林带后距离之间的统计模型,可以为防风林建设提供指导性意见。通过风洞实验,在11 m·s^-1风速下,对4种宽度、5种株行距林带的背风面0~10H（H为林带高度）的风速进行测定,采用曲线参数估计法、傅立叶模型、SSF模型（Sum of Sin Functions）,构建了不同结构林带防风效能与林带后距离间的统计模型。结果表明：傅立叶模型拟合不同宽度林带的防风效能与林带后距离的关系效果最优,可决系数（R²）均在98%以上;SSF模型拟合不同株行距林带的防风效能与林带后距离的关系效果最优（R²>0.98）。根据构建的统计模型,风速为11 m·s^-1左右时,林带宽度8 m（两行一带）的防风林的防风效能存在明显优势;5种株行距的林带中,株行距为8 m×8 m的防风林带本试验条件下防风效果最好。     

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浅析煤矿系统安全防雷

雷电为世界上十大自然灾害之一,对煤矿安全生产同样构成严重的威胁,可造成煤矿电力系统故障、瓦斯爆炸等事故发生。文章重点介绍了煤矿的内部防雷和外部防雷措施。     

成灌高铁运行对成都地磁台观测数据干扰测试

成都地磁台距成灌高铁运行线路垂直距离约1.5 km,使用数字化磁通门磁力仪GM4,在轨道沿线不同距离处进行野外测试。测试结果表明,轨道交通的运行对周围地磁观测环境产生干扰,干扰距离约6 km,干扰主要来自轨道泄露电流及输电线路产生的磁场。     

中国的人为沙漠化因素对亚洲沙尘暴的贡献

以数值模拟与大规模网络观测的对比结果为基础,通过对“去除”已经沙化土地获得的近地面层粉尘浓度的进一步分析,结合已获得的亚洲沙尘暴各源区粉尘释放量结果,提出我国的人为沙漠化因素对亚洲沙尘暴的贡献约为6％的观点。     

业余无线电台防雷漫谈

业余无线电通信技术是一项内涵极其丰富的专门技术,是整个无线电通信界中一个重要的组成部分,人们把获得发信执照、精通业余通信的爱好者称为“业余无线电家”。当你打开自己的收发信机时,你可以听到来自世界各个角落的声音。     

Geochemistry and genesis on saturated hydrocarbon of crude oils in Gas Hure Oilfield in Qaidam Basin

Gas Hure Oilfield is the biggest one in the Qaidam Basin.Through intensive sampling and GC-MS analysis,the authors analyzed the geochemical characteristics of the crude oils in the Gas Hure Oilfield.The results show that the crude oils have even-odd carbon predominance for n-alkanes.In shallow reservoir,part of crude oils suffered biogenic degradation.As for normal oils,they have low Pr/Ph ratios with abundant gammacerane and C35 homohopane,which indicate that the crude oils are formed in strong reducing sa...