Identifying factors affecting the safety of mid-block bicycle lanes considering mixed 2-wheeled traffic flow

Objective: Electric bikes (e-bikes) have been one of the fastest growing trip modes in Southeast Asia over the past 2 decades. The increasing popularity of e-bikes raised some safety concerns regarding urban transport systems. The primary objective of this study was to identify whether and how the generalized linear regression model (GLM) could be used to relate cyclists' safety with various contributing factors when riding in a mid-block bike lane. The types of 2-wheeled vehicles in the study included bicycle-style electric bicycles (BSEBs), scooter-style electric bicycles (SSEBs), and regular bicycles (RBs).

Methods: Traffic conflict technology was applied as a surrogate measure to evaluate the safety of 2-wheeled vehicles. The safety performance model was developed by adopting a generalized linear regression model for relating the frequency of rear-end conflicts between e-bikes and regular bikes to the operating speeds of BSEBs, SSEBs, and RBs in mid-block bike lanes.

Results: The frequency of rear-end conflicts between e-bikes and bikes increased with an increase in the operating speeds of e-bikes and the volume of e-bikes and bikes and decreased with an increase in the width of bike lanes. The large speed difference between e-bikes and bikes increased the frequency of rear-end conflicts between e-bikes and bikes in mid-block bike lanes. A 1% increase in the average operating speed of e-bikes would increase the expected number of rear-end conflicts between e-bikes and bikes by 1.48%. A 1% increase in the speed difference between e-bikes and bikes would increase the expected number of rear-end conflicts between e-bikes/bikes by 0.16%.

Conclusions: The conflict frequency in mid-block bike lanes can be modeled using generalized linear regression models. The factors that significantly affected the frequency of rear-end conflicts included the operating speeds of e-bikes, the speed difference between e-bikes and regular bikes, the volume of e-bikes, the volume of bikes, and the width of bike lanes. The safety performance model can help better understand the causes of crash occurrences in mid-block bike lanes.     

Can variations in visual behavior measures be good predictors of driver sleepiness? A real driving test study

Objective: The primary purpose of this study was to examine the association between variations in visual behavior measures and subjective sleepiness levels across age groups over time to determine a quantitative method of measuring drivers' sleepiness levels.

Method: A total of 128 volunteer drivers in 4 age groups were asked to finish 2-, 3-, and 4-h continuous driving tasks on expressways, during which the driver's fixation, saccade, and blink measures were recorded by an eye-tracking system and the subjective sleepiness level was measured through the Stanford Sleepiness Scale. Two-way repeated measures analysis of variance was then used to examine the change in visual behavior measures across age groups over time and compare the interactive effects of these 2 factors on the dependent visual measures.

Results: Drivers' visual behavior measures and subjective sleepiness levels vary significantly over time but not across age groups. A statistically significant interaction between age group and driving duration was found in drivers' pupil diameter, deviation of search angle, saccade amplitude, blink frequency, blink duration, and closure duration. Additionally, change in a driver's subjective sleepiness level is positively or negatively associated with variation in visual behavior measures, and such relationships can be expressed in regression models for different period of driving duration.

Conclusions: Driving duration affects drivers' sleepiness significantly, so the amount of continuous driving time should be strictly controlled. Moreover, driving sleepiness can be quantified through the change rate of drivers' visual behavior measures to alert drivers of sleepiness risk and to encourage rest periods. These results provide insight into potential strategies for reducing and preventing traffic accidents and injuries.     

甲型流感的流行与防控分析及其对新冠肺炎疫情的启示

目前新型冠状病毒肺炎（COVID-19）疫情在全球流行,对人类生命健康造成威胁.对甲型流感这一常见传染病进行流行特征、影响因素和防控措施分析,回顾总结全球为防控甲型流感做出的努力及相关科学研究成果,为新型冠状病毒肺炎疫情提供防控经验和研究思路.结果表明:①甲型流感呈季节性流行,受气候、社会、政治和文化等多因素影响,在低温低湿、人口密集的环境中表现出强流行性.②甲型流感防控研究工作主要包括季节性流感病毒监测、流感病毒的生态学研究、广谱中和抗体及通用疫苗的研究、应对流感大流行的病原学风险评估四方面,其中季节性流感病毒监测是制定公共卫生政策及后续研究的核心防控措施.③与甲型流感类似,新型冠状病毒肺炎疫情流行受温度等气候因素影响,同时社会、政治、文化等因素也影响其传播,亟需借鉴较成熟的甲型流感的防控经验、技术和平台.建议在加强病毒监测的同时,深入开展病毒生态学研究、病原学风险评估和药物开发,对完善疫情防控工作和预警预测未来可能出现的二次暴发及传播至关重要.研究结果将为新型冠状病毒肺炎疫情和未来传染病疫情的防控及预测预警提供参考和研究思路.      

Comparison of the effects of aluminum and iron(III) salts on ultrafiltration membrane biofouling in drinking water treatment

Coagulation plays an important role in alleviating membrane fouling, and a noticeable problem is the development of microorganisms after long-time operation, which gradually secrete extracellular polymeric substances (EPS). To date, few studies have paid attention to the behavior of microorganisms in drinking water treatment with ultrafiltration (UF) membranes. Herein, the membrane biofouling was investigated with different aluminum and iron salts. We found that Al₂(SO₄)₃·18H₂O performed better in reducing membrane fouling due to the slower growth rate of microorganisms. In comparison to Al₂(SO₄)₃·18H₂O, more EPS were induced with Fe₂(SO₄)₃·xH₂O, both in the membrane tank and the sludge on the cake layer. We also found that bacteria were the major microorganisms, of which the concentration was much higher than those of fungi and archaea. Further analyses showed that Proteobacteria was dominant in bacterial communities, which caused severe membrane fouling by forming a biofilm, especially for Fe₂(SO₄)₃·xH₂O. Additionally, the abundances of Bacteroidetes and Verrucomicrobia were relatively higher in the presence of Al₂(SO₄)₃·18H₂O, resulting in less severe biofouling by effectively degrading the protein and polysaccharide in EPS. As a result, in terms of microorganism behaviors, Al-based salts should be given preference as coagulants during actual operations.     

Effect of Trichoderma viride biofertilizer on ammonia volatilization from an alkaline soil in Northern China

Ammonia(NH3) volatilization is one of the primary pathways of nitrogen(N) loss from soils after chemical fertilizer is applied, especially from the alkaline soils in Northern China, which results in lower efficiency for chemical fertilizers. Therefore, we conducted an incubation experiment using an alkaline soil from Tianjin(p H 8.37–8.43) to evaluate the suppression effect of Trichoderma viride(T. viride) biofertilizer on NH3 volatilization, and compared the differences in microbial community structure among all samples. The results showed that viable T. viride biofertilizer(T) decreased NH_3 volatilization by 42.21% compared with conventional fertilizer((CK), urea), while nonviable T. viride biofertilizer(TS) decreased NH_3 volatilization by 32.42%. NH_3 volatilization was significantly higher in CK and sweet potato starch wastewater(SPSW) treatments during the peak period. T. viride biofertilizer also improved the transfer of ammonium from soil to sweet sorghum. Plant dry weights increased 91.23% and 61.08% for T and TS, respectively, compared to CK. Moreover, T. viride biofertilizer enhanced nitrification by increasing the abundance of ammonium-oxidizing archaea(AOA) and ammonium-oxidizing bacteria(AOB). The results of high-throughput sequencing indicated that the microbial community structure and composition were significantly changed by the application of T. viride biofertilizer. This study demonstrated the immense potential of T. viride biofertilizer in reducing NH_3 volatilization from alkaline soil and simultaneously improving the utilization of fertilizer N by sweet sorghum.     

电选法回收利用废印刷线路板

废印刷线路板含有多种有价值的物质,随意丢弃或处理处置方法不当既污染环境,又造成资源流失。采用剪切式破碎和电力分选技术对废印刷线路板的机械分离进行了研究。结果表明,电选法可以实现废印刷线路板中金属和玻璃纤维、树脂的分离;在实验的粒径范围内(-14+20目到-120+200目分为5个粒径级别),金属主要集中在-20+120目粒级范围内,且该粒级范围分选效果最好。     

Boiler briquette coal versus raw coal: Part I--Stack gas emissions

Stack gas emissions were characterized for a steam-generating boiler commonly used in China. The boiler was tested when fired with a newly formulated boiler briquette coal (BB-coal) and when fired with conventional raw coal (R-coal). The stack gas emissions were analyzed to determine emission rates and emission factors and to develop chemical source profiles. A dilution source sampling system was used to collect PM on both Teflon membrane filters and quartz fiber filters. The Teflon filters were analyzed gravimetrically for PM10 and PM2.5 mass concentrations and by X-ray fluorescence (XRF) for trace elements. The quartz fiber filters were analyzed for organic carbon (OC) and elemental carbon (EC) using a thermal/optical reflectance technique. Sulfur dioxide was measured using the standard wet chemistry method. Carbon monoxide was measured using an Orsat combustion analyzer. The emission rates of the R-coal combustion (in kg/hr), determined using the measured stack gas concentrations and the stack gas emission rates, were 0.74 for PM10, 0.38 for PM2.5, 20.7 for SO2, and 6.8 for CO, while those of the BB-coal combustion were 0.95 for PM10, 0.30 for PM2.5, 7.5 for SO2, and 5.3 for CO. The fuel-mass-based emission factors (in g/kg) of the R-coal, determined using the emission rates and the fuel burn rates, were 1.68 for PM10, 0.87 for PM2.5, 46.7 for SO2, and 15 for CO, while those of the BB-coal were 2.51 for PM10, 0.79 for PM2.5, 19.9 for SO2, and 14 for CO. The task-based emission factors (in g/ton steam generated) of the R-coal, determined using the fuel-mass-based emission factors and the coal/steam conversion factors, were 0.23 for PM10, 0.12 for PM2.5, 6.4 for SO2, and 2.0 for CO, while those of the BB-coal were 0.30 for PM10, 0.094 for PM2.5, 2.4 for SO2, and 1.7 for CO. PM10 and PM2.5 elemental compositions are also presented for both types of coal tested in the study.     

贵州百花湖沉积物中磷的再迁移作用

本文通过百花湖沉积物柱芯不同化学相磷含量分布，孔隙水地球化学及早期成岩模式和通量估算等研究，揭示了磷在早期成岩过程中迁移，转化和富集规律，揭示某些湖泊表层沉积物几厘米磷蓄积浓度的增加与磷在早期成岩过程中的行为有关。     

大型啤酒企业废水处理工程的设计与运行

采用酸化-生物接触氧化工艺处理大型啤酒企业生产废水。工程运行表明在进水SS、CODCr、BOD5平均浓度分别为516mg／L、572mg／L、288mg／L的条件下，排出水的SS、CODCr、BOD5平均浓度分别为46mg／L、36mg／L、6．2mg／L，处理后水质达到《污水综合排放标准》(GB8978-1996)二级排放标准。本工艺具有运行稳定可靠，容积负荷高，处理效果好，运行费用低，污泥产量小；不发生污泥膨胀等特点。     

破壁化学注浆防渗理论与工程实践

破壁化学注浆防渗技术的关键是选择化学材料,确定注浆压力,估算浆液扩散半径,布置注浆孔,计算注浆量。本文结合工程实践,得出了注浆参数选择的理论计算公式和工程经验数值;为今后煤矿井壁防渗注浆提供了参考。