脉冲电解法预处理酸性染料废水

研究了脉冲电解法预处理酸性偶氮类染料废水的处理效果,考察了不同工艺条件对废水COD去除率、脱色率和可生化性的影响。结果表明,脉冲电源峰值电压12 V,频率600 Hz,占空比50%的条件下电解40 min后,COD去除率可达59%,废水脱色率达91.4%,BOD5/COD由0.09提高至0.34。在相同条件下,脉冲电解法的电流效率是直流电解法的2倍左右。与现行常用的铁/碳反应床相比,脉冲电解法在成本上也具有一定的优势,应用前景较好。     

水质监测频率与极端气候对高原湖泊入湖河流氮磷通量估算的影响

河流是流域氮磷营养盐的主要输出途径之一,准确掌握其通量变化和驱动因素对流域营养盐管理具有重要意义.本研究以滇池主要入湖河流宝象河为例,基于周水质观测数据和逐日水量数据,构建了河流氮磷通量LOADSET模型.估算了宝象河不同时间尺度(日、季、年)TN和TP的通量,评估了4种低频水质采样和极端气候指数对河流氮磷通量计算的影响.结果表明:(1)2018年宝象河的TN和TP年通量分别为270.49 t和11.19 t,存在显著的年内差异,夏季是通量最高的季节,分别占TN和TP年通量的40.78%和41.96%.(2)基于LOADEST模型的低频水质采样的氮磷估算结果与高频采样差异较小,宝象河TN、TP通量估算受采样频率影响较小.(3)宝象河的TN和TP通量变化受连续5日最大降水量、平均最低气温、平均最高气温、最低气温、最低气温极大值、最高气温极小值和平均温差7种极端气候指数的显著影响.     

台风对太湖微囊藻群体大小的影响

为了解台风对太湖微囊藻群体大小及在水体中分布的影响,于2013年7月12—16日台风苏力经过太湖期间,测定并分析了风速、总氮、总磷、微囊藻群体大小和Chl-a浓度变化。结果表明,台风过程中水体中总氮和总磷浓度分别从1.33 mg·L-1和0.07 mg·L-1提高到2.70 mg·L-1和0.23 mg·L-1,48 h内微囊藻群体平均大小从32.80 μm增加到69.43 μm。此外,水体中Chl-a浓度与风速显著正相关(r=0.472,P -1)。研究表明,强风浪扰动(如台风)能够引起水体中氮磷浓度的提高,改变微囊藻在水体中的分布,并且能够促进微囊藻群体的迅速增大。     

金鱼藻对不同扰动方式下悬浮物的生理响应

以金鱼藻为研究对象,分析悬浮物不同扰动方式(机械扰动和曝气扰动)、扰动强度以及悬浮物浓度对沉水植物生理特性的影响。结果表明,与曝气扰动相比,机械扰动对金鱼藻生理特性影响显著,搅拌强度的增大,金鱼藻叶绿素a、叶绿素b、类胡萝卜素含量和POD活性不断下降,60 r/min时下降最快,搅拌强度与POD活性显著负相关。曝气扰动在前期促进金鱼藻的生长,后期抑制其生长,曝气强度4 m3/h时,金鱼藻生理指标降低最大,曝气强度与金鱼藻生理特性相关性不显著。随悬浮物浓度升高,金鱼藻叶绿素a、叶绿素b、类胡萝卜素含量先升高后下降,金鱼藻生长最适悬浮物浓度为0.4~0.8 g/L。     

Severity of e-scooter rider injuries associated with trip characteristics

Introduction: E-scooter rider injuries have been growing, but little is known about how trip and incident characteristics contribute to their severity. Method: We enrolled 105 adults injured while riding e-scooters who presented to an emergency department in Washington, DC, during 2019. Enrolled participants completed an interview during the emergency department visit, and their charts were abstracted to document their injuries and treatment. Logistic regression examined the association of incident location and circumstances with the likelihood of sustaining an injury on the Abbreviated Injury Scale (AIS) ≥ 2, while controlling for rider characteristics. Results: The most common locations of e-scooter injuries in our study sample occurred on the sidewalk (58%) or road (23%). Accounting for other trip and rider attributes, e-scooter riders injured on the road were about twice as likely as those injured elsewhere to sustain AIS ≥ 2 injuries (RR, 1.96; 95% CI, 1.23–2.36) and those who rode at least weekly more often sustained AIS ≥ 2 injuries compared with less frequent riders (RR, 1.86; 95% CI, 1.11–2.32). Conclusions: Greater injury severity for riders injured on the road may reflect higher travel speeds. Practical applications: Injury severity associated with riding in the road is one factor that jurisdictions can consider when setting policy on where e-scooters should be encouraged to ride, but the risk of any crash or fall associated with facilities should also be examined. Although injuries are of lower severity on sidewalks, sharing sidewalks with slower moving pedestrians could potentially lead to more conflicts.     

北京城6区大气颗粒物质量浓度变化规律研究

为较好地了解当前北京城6区大气颗粒物PM2.5和PM10质量浓度的污染水平及变化规律,根据2013年3月11日至2014年2月28日城6区12个空气质量实时监测点连续、实时的监测结果,构建多点位、完整时间序列的颗粒物质量浓度数据资料.应用数理统计分析手段,对当前北京城6区大气颗粒物质量浓度的频数分布、相关性和逐时变化特征进行分析,并结合全年实际气象特征,对引起大气颗粒物质量浓度变化的因素进行了初步探讨.结果表明,2013年3月至2014年2月北京城6区大气颗粒物污染较为严重,且PM2.5和PM10质量浓度具有特别显著的线性相关关系,全年相关系数达0.9,10年间无显著变化;二者年均值达91.7 μg/m3和116.9 μg/m3,分别超标162％和67％;二者质量浓度比达78.4％,10年间同比增长约20％.颗粒物质量浓度逐时变化受季节变化影响明显,总体呈现夜间最高、白天最低的趋势,变化周期为7～9h.研究表明,影响颗粒物质量浓度变化的因素包括春季的大风和生物粒子、夏季的湿热和降雨、秋季和冬季的逆温现象和降雪等气象因素及规律性的人为源因素.     

巷道超前支护装备的防冲击控制策略研究

针对冲击地压会对巷道超前支护装备产生冲击等不利影响,提出一种基于改进型扰动观测器的控制方法。该方法在常规扰动观测器基础上,增加两个控制器,对理想模型控制器的输出进行动态补偿。使控制器不仅能够对频率较低的外界扰动进行抑制,同时能够对高频的测量噪声干扰进行消除。对其进行数值仿真与模拟实验,结果表明改进后控制方法能够有效降低冲击地压对超前支护装备产生的不利影响。     

一种利用AIS数据计算受限水域内航标安全距离的方法

AIS数据详细记录了特定水域的船舶位置、船首向和尺寸等数据,可用于计算受限水域内航标安全距离。按一定标准网格化目标航标附近水域,统计周围航行的他船船体出现在每一个网格中的频数,形成他船航迹的网格频数图。按长度尺寸分类,将同类他船航迹网格频数图叠加,形成特定类型船舶的航迹网格频数图。按频数大小填充颜色,可清晰地显示航标附近他船安全通行状态下与航标保持的距离。实验选取上海港航标附近水域海量AIS数据,获取了60~79m,80~99m,100~129m,130~159m船舶航迹形成的网格频数图,结果显示,四类船舶距航标的安全距离随着他船长度的增大而增加,分别为50m,70m,110m,150m。     

A classification tree based modeling approach for segment related crashes on multilane highways

Introduction

This study presents a classification tree based alternative to crash frequency analysis for analyzing crashes on mid-block segments of multilane arterials.

Method

The traditional approach of modeling counts of crashes that occur over a period of time works well for intersection crashes where each intersection itself provides a well-defined unit over which to aggregate the crash data. However, in the case of mid-block segments the crash frequency based approach requires segmentation of the arterial corridor into segments of arbitrary lengths. In this study we have used random samples of time, day of week, and location (i.e., milepost) combinations and compared them with the sample of crashes from the same arterial corridor. For crash and non-crash cases, geometric design/roadside and traffic characteristics were derived based on their milepost locations. The variables used in the analysis are non-event specific and therefore more relevant for roadway safety feature improvement programs. First classification tree model is a model comparing all crashes with the non-crash data and then four groups of crashes (rear-end, lane-change related, pedestrian, and single-vehicle/off-road crashes) are separately compared to the non-crash cases. The classification tree models provide a list of significant variables as well as a measure to classify crash from non-crash cases. ADT along with time of day/day of week are significantly related to all crash types with different groups of crashes being more likely to occur at different times.

Conclusions

From the classification performance of different models it was apparent that using non-event specific information may not be suitable for single vehicle/off-road crashes.

Impact on Industry

The study provides the safety analysis community an additional tool to assess safety without having to aggregate the corridor crash data over arbitrary segment lengths.