CALCULATION OF CUMULATIVE PERCENTAGE AT SELECTED PARTICLE SIZES FROM BOTTOM WITHDRAWAL TUBE ANALYSIS

ABSTRACT: A new computation method is developed for the bottom withdrawal tube particle size analysis. A transformation on time scale is introduced so that the cumulative percentage of a selected particle size can be determined from a single continuous Oden cum.     

Testing the Environmental Kuznets Curve Hypothesis with Bird Populations as Habitat-Specific Environmental Indicators: Evidence from Canada

Abstract:  The traditional environmental Kuznets curve (EKC) hypothesis postulates that environmental degradation follows an inverted U-shaped relationship with gross domestic product (GDP) per capita. We tested the EKC hypothesis with bird populations in 5 different habitats as environmental quality indicators. Because birds are considered environmental goods, for them the EKC hypothesis would instead be associated with a U-shaped relationship between bird populations and GDP per capita. In keeping with the literature, we included other variables in the analysis—namely, human population density and time index variables (the latter variable captured the impact of persistent and exogenous climate and/or policy changes on bird populations over time). Using data from 9 Canadian provinces gathered over 37 years, we used a generalized least-squares regression for each bird habitat type, which accounted for the panel structure of the data, the cross-sectional dependence across provinces in the residuals, heteroskedasticity, and fixed- or random-effect specifications of the models. We found evidence that supports the EKC hypothesis for 3 of the 5 bird population habitat types. In addition, the relationship between human population density and the different bird populations varied, which emphasizes the complex nature of the impact that human populations have on the environment. The relationship between the time-index variable and the different bird populations also varied, which indicates there are other persistent and significant influences on bird populations over time. Overall our EKC results were consistent with those found for threatened bird species, indicating that economic prosperity does indeed act to benefit some bird populations.     

Rethinking receiver operating characteristic analysis applications in ecological niche modeling

The area under the curve (AUC) of the receiver operating characteristic (ROC) has become a dominant tool in evaluating the accuracy of models predicting distributions of species. ROC has the advantage of being threshold-independent, and as such does not require decisions regarding thresholds of what constitutes a prediction of presence versus a prediction of absence. However, we show that, comparing two ROCs, using the AUC systematically undervalues models that do not provide predictions across the entire spectrum of proportional areas in the study area. Current ROC approaches in ecological niche modeling applications are also inappropriate because the two error components are weighted equally. We recommend a modification of ROC that remedies these problems, using partial-area ROC approaches to provide a firmer foundation for evaluation of predictions from ecological niche models. A worked example demonstrates that models that are evaluated favorably by traditional ROC AUCs are not necessarily the best when niche modeling considerations are incorporated into the design of the test.     

连续长坡路段驾驶员心率与平曲线半径关系研究

为研究公路连续长坡路段驾驶员心率与曲线半径的关系,提高行车安全,选取9名驾驶员进行实际道路试验.用多导生理记录仪采集驾驶员的心率数据,按上、下坡方向将试验路段的每个曲线划分为7个位置,分别对上、下坡方向每个位置驾驶员的心率增长率和曲线半径的关系进行回归分析,建立相应的模型,并对每个位置的模型进行分析,提出合理的曲线半径设置建议.综合上、下坡方向各位置的曲线半径研究结论提出合理的曲线半径取值建议,公路连续长坡路段曲线半径在r≥900 m和200 m≤r≤300 m内取值.     

基于正交模拟试验的矿用空气幕结构优化

为了降低空气幕的能耗,依据空气动力学理论,建立了以双三次方曲线为整流器外轮廓线的矿用空气幕模型,采用正交模拟试验方法,以出风口速度分布均匀性及阻力损失为评价指标,研究了不同结构参数下矿用空气幕内流场分布规律,计算出矿用空气幕出风口断面的速度分布均匀性参数及压力损失,得到了最优的矿用空气幕结构模型,该模型风流速度均匀性参数为0.038 5,压力损失为98.3Pa.结果表明,压力漩涡的大小及流速滞留区的范围与整流器密切相关.对矿用空气幕出风口速度分布均匀性影响最大的是供风器出风口宽度,其次为导流体中截面半径;对矿用空气幕压力损失影响最大的是供风器出风口宽度,其次为整流器及供风器长度.当导流体为圆锥体时,矿用空气幕的性能最优.     

Estimated Injury Risk for Specific Injuries and Body Regions in Frontal Motor Vehicle Crashes

Objective: Injury risk curves estimate motor vehicle crash (MVC) occupant injury risk from vehicle, crash, and/or occupant factors. Many vehicles are equipped with event data recorders (EDRs) that collect data including the crash speed and restraint status during a MVC. This study's goal was to use regulation-required data elements for EDRs to compute occupant injury risk for (1) specific injuries and (2) specific body regions in frontal MVCs from weighted NASS-CDS data.

Methods: Logistic regression analysis of NASS-CDS single-impact frontal MVCs involving front seat occupants with frontal airbag deployment was used to produce 23 risk curves for specific injuries and 17 risk curves for Abbreviated Injury Scale (AIS) 2+ to 5+ body region injuries. Risk curves were produced for the following body regions: head and thorax (AIS 2+, 3+, 4+, 5+), face (AIS 2+), abdomen, spine, upper extremity, and lower extremity (AIS 2+, 3+). Injury risk with 95% confidence intervals was estimated for 15–105 km/h longitudinal delta-Vs and belt status was adjusted for as a covariate.

Results: Overall, belted occupants had lower estimated risks compared to unbelted occupants and the risk of injury increased as longitudinal delta-V increased. Belt status was a significant predictor for 13 specific injuries and all body region injuries with the exception of AIS 2+ and 3+ spine injuries. Specific injuries and body region injuries that occurred more frequently in NASS-CDS also tended to carry higher risks when evaluated at a 56 km/h longitudinal delta-V. In the belted population, injury risks that ranked in the top 33% included 4 upper extremity fractures (ulna, radius, clavicle, carpus/metacarpus), 2 lower extremity fractures (fibula, metatarsal/tarsal), and a knee sprain (2.4–4.6% risk). Unbelted injury risks ranked in the top 33% included 4 lower extremity fractures (femur, fibula, metatarsal/tarsal, patella), 2 head injuries with less than one hour or unspecified prior unconsciousness, and a lung contusion (4.6–9.9% risk). The 6 body region curves with the highest risks were for AIS 2+ lower extremity, upper extremity, thorax, and head injury and AIS 3+ lower extremity and thorax injury (15.9–43.8% risk).

Conclusions: These injury risk curves can be implemented into advanced automatic crash notification (AACN) algorithms that utilize vehicle EDR measurements to predict occupant injury immediately following a MVC. Through integration with AACN, these injury risk curves can provide emergency medical services (EMS) and other patient care providers with information on suspected occupant injuries to improve injury detection and patient triage.     

可靠性强化试验技术在平板电视电源模块研发中的应用

简要介绍了可靠性强化试验技术原理与特点,总结了其在平板电视电源模块研发阶段中的应用方法,着重阐述了试验过程和五个类型的试验剖面;引述了激发应力范围的统计学方法,并给出了部分产品应用实施可靠性强化试验技术的典型案例,说明其在激发暴露产品设计、工艺缺陷等方面的突出效果。     

气相分子吸收光谱法测定氨氮校准曲线斜率、截距参考值研究

主要阐述了气相分子吸收光谱法测定氨氮的校准曲线斜率、截距参考值的分析.文章收集了临安市环境监测站实验室自2012年以来气相分子吸收光谱法氨氮校准曲线制作的一系列原始数据,并通过数理统计方法对校准曲线、残余标准偏差、斜率扩展不确定度、截距扩展不确定度开展了详细讨论,得出气相分子吸收光谱法氨氮校准曲线截距a值、斜率b值实验室参考值.此结果对实验室分析人员判定氨氮项目校准曲线制作是否合格具有一定的参考价值.     

武汉军运会前后臭氧及其前体物的特征和来源

利用湖北省超级站2019年10~11月的臭氧、NO_x(=NO+NO₂)和102种VOCs物质的小时数据分析了军运会期间臭氧污染变化;基于DSMACC箱型模式模拟不同VOCs和NO_x浓度下臭氧的光化学生成敏感性;采用PMF模型对前体物VOCs进行源解析,并估算不同源类的臭氧生成潜势.结果显示,军运会保障前臭氧日最大8小时浓度(最大MDA8:219.51μg/m³)超过国家二级标准,保障期臭氧MDA8浓度(135.11μg/m³)明显下降,保障后浓度回升(140.98μg/m³).军运会保障前中期臭氧浓度的差异受气象条件影响更明显,而保障后臭氧浓度的上升主要是因为前体物浓度的大幅增加.根据DSMACC模拟的EKMA曲线,武汉市军运会期间臭氧的光化学生成主要受VOCs浓度变化的影响.进一步对VOCs进行源解析,结果显示,保障前VOCs对臭氧生成贡献较大的源类是燃烧源、石油化工和机动车,分别占23.0%、22.8%和22.5%;保障期间VOCs的主要来源是机动车(38.4%)和燃烧源(25.5%);保障后则主要是石油化工(32.6%)和燃料挥发(25.7%).三个阶段对比发现,军运会的保障方案对石油化工源减排效果明显,但对机动车和燃烧源排放的限制效果并不显著.武汉市应该更注重对燃烧、燃料挥发和机动车排放的治理.