航空公司安全信息管理水平评价方法研究

分析了目前我国航空公司在安全信息管理和安全信息管理水平综合评价方面存在的问题.从航空公司安全信息管理的实际工作出发,结合安全管理体系(SMS)中对于安全信息管理的要求,建立了航空公司安全信息管理水平评价指标体系,并针对每个评价指标建立了4个等级的评价标准.基于主成分分析方法建立了航空公司安全信息管理水平综合评价模型.按照建立的指标体系和评价标准对5家航空公司进行了安全信息管理水平评分,并以此数据为基础,利用建立的综合评价模型对5家公司的安全信息管理水平进行了综合评价和排序,针对评价结果对各航空公司提高安全信息管理水平提出了具体的建议措施.     

降膜对喷淋塔吸收特性的影响

吸收液在喷淋塔内以液滴和降膜两种形式存在,为了深入考察降膜对喷淋塔吸收特性的影响,以多孔分布板代替传统的压力式喷嘴,实现了降膜和液滴流量的可控调节,结合喷淋塔流体力学特性和双膜理论,建立了液滴及降膜的传质模型,并进行了试验验证,通过定量计算,分别考察了喷淋量及空塔气速对降膜吸收速率分率的影响.结果表明:所建模型可以较好地模拟喷淋塔脱氨过程,相对误差小于4％;降膜吸收速率分率几乎不随空塔气速而变化,但随喷淋量增大而减小;当大量吸收液在塔内壁形成降膜时,要达到相同吸收率所需喷淋液量将更大.     

视野受限时出口指示标志对行人疏散的作用研究

为完善视野受限时的行人疏散理论,探讨了出口指示标志在行人疏散中的作用和其他影响疏散的因素。在前人工作的基础上,进一步阐述了视野受限时的疏散理论模型,统计估算了行人的疏散时间;并利用计算机仿真对比研究了出口指示标志在行人疏散过程中的作用。结果表明,出口指示标志能够明显地影响行人疏散过程中的动力学特征,避免了无出口指示标志时的盲目和绕行现象,优化了行人疏散路径,提高了疏散效率。同时发现,在不同出口宽度下大的视野距离会对疏散起积极作用;初始行人密度较小时,行人数量的变化对疏散时间影响不大;初始行人密度较大时,疏散时间与行人数量间呈线性关系。     

固定化微生物吸附剂对Cr3+的吸附特性研究

从皮革铬鞣、复鞣污泥等处分离、纯化出4株菌株TP、XB、MY和TQ,采用海藻酸钠悬滴法并添加膨润土制成微生物固定化吸附剂,研究该吸附剂对低质量浓度Cr3+的吸附特性。结果表明,4种固定化颗粒对低质量浓度Cr3+有较好的吸附作用。实验室条件下,当吸附温度为30℃时,6 h后固定化吸附剂进入缓慢吸附和平衡吸附阶段。吸附等温曲线拟合研究表明,不同温度下吸附剂适合不同的等温模型。4种微生物吸附剂均与Lagrange拟二级动力学模型拟合最佳,且吸附量从高到低为TQ、TP、XB、MY。颗粒内扩散模型研究表明,20℃下XB和MY对Cr3+的吸附分为快速吸附和缓慢吸附阶段;30℃和40℃下固定化颗粒均呈现表面吸附—缓慢吸附—平衡吸附过程。热力学研究表明,吸附反应均属于自发进行的吸热过程,并且均是化学吸附。     

围岩稳定性评价的改进物元可拓模型与应用

为弥补现有地下工程围岩稳定性评价方法的不足,建立了改进的物元可拓模型。通过构造一种新的关联函数,解决了因传统的物元可拓模型的关联函数是一个分段函数而存在的不便于计算的缺陷,以及评价指标间的互不相容性问题,拓宽了物元可拓法的应用范围。将改进的物元可拓模型应用于某地下工程围岩的稳定性评价,结果表明,样本1、2、5属于Ⅱ级(较稳定),样本3、4属于Ⅰ级(稳定)。通过将其评价结果与传统可拓法及模糊数学综合评判结果进行比较分析,证明该评价方法的正确性。研究表明,改进的物元可拓模型的评价结果与实际工程地质情况更为吻合,准确度更高,能够反映各因素对围岩稳定性的影响,其合理性和可行性得到了验证。     

Model‐Based Nitrogen and Phosphorus (Nutrient) Criteria for Large Temperate Rivers: 2. Criteria Derivation

Nitrogen and phosphorus criteria were developed for 233 km of the Yellowstone River, one of the first cases where a mechanistic model has been used to derive large river numeric nutrient criteria. A water quality model and a companion model which simulates lateral algal biomass across transects were used to simulate effects of increasing nutrients on five variables (dissolved oxygen, total organic carbon, total dissolved gas, pH, and benthic algal biomass in depths ≤1 m). Incremental increases in nutrients were evaluated relative to their impact on predefined thresholds for each variable; the first variable to exceed a threshold set the nutrient criteria. Simulations were made at a low flow, the 14Q5 (lowest average 14 consecutive day flow, July‐September, recurring one in five years), which was derived using benthic algae growth curves and EPA guidance on excursion frequency. An extant climate dataset with an annual recurrence was used, and tributary water quality and flows were coincident with the river's 10 lowest flow years. The river had different sensitivities to nutrients longitudinally, pH being the most sensitive variable in the upstream reach and algal biomass in the lower. Model‐based criteria for the Yellowstone River are as follows: between the Bighorn and Powder river confluences, 55 μg TP/l and 655 μg TN/l; from the Powder River confluence to Montana state line, 95 μg TP/l and 815 μg TN/l. Pros and cons of using steady‐state models to derive river nutrient criteria are discussed.     

Calibrating a Basin‐Scale Groundwater Model to Remotely Sensed Estimates of Groundwater Evapotranspiration

Remotely sensed vegetation indices correspond to canopy vigor and cover and have been successfully used to estimate groundwater evapotranspiration (ET_g) over large spatial and temporal scales. However, these data do not provide information on depth to groundwater (dtgw) necessary for groundwater models (GWM) to calculate ET_g. An iterative approach is provided that calibrates GWM to ET_g derived from Landsat estimates of the Enhanced Vegetation Index (EVI). The approach is applied to different vegetation groups in Mason Valley, Nevada over an 11‐year time span. An uncertainty analysis is done to estimate the resulting mean and 90% confidence intervals in ET_g to dtgw relationships to quantify errors associated with plant physiologic complexity, species variability, and parameter smoothing to the 100 m GWM‐grid, temporal variability in soil moisture and nonuniqueness in the solution. Additionally, a first‐order second moment analysis shows ET_g to dtgw relationships are almost exclusively sensitive to estimated land surface, or maximum, ET_g despite relatively large uncertainty in extinction depths and hydraulic conductivity. The EVI method of estimating ET_g appears to bias ET_g during years with exceptionally wet spring/summer conditions. Excluding these years improves model performance significantly but highlights the need to develop a methodology that accounts not only on quantity but timing of annual precipitation on phreatophyte greenness.     

基于二值逻辑的复合绝缘子状态判别策略研究

复合绝缘子是架空输电线路上广泛使用的设备,它的老化会给电力系统的正常运行带来威胁。电力相关工作人员需要一种能够对复合绝缘子的运行状态进行判别的方法,帮助他们确定复合绝缘子是否满足运行要求,而对复合绝缘子的定性表征就成为一种优选的表征策略。将运行后的复合绝缘子分成"满足运行要求"和"不满足运行要求",使用二值逻辑回归模型,选取合适的特征量,建立了复合绝缘子状态表征体系。     

Indicator framework for sustainable production planning and controlling

Production facilities serve to transform raw materials into products, usually with the goal of achieving a designated output, in terms of quantity and quality, with the minimum of cost and labour. With the aid of production planning and controlling (PPC) systems, raw material inputs, and labour can be planned to achieve a determined output of products. In general, the role of environmental and social aspects is neglected in production planning processes. Because of the growing pressure from politics and customers, sustainable production of products is becoming more important. One possibility for supporting sustainable manufacturing is, to integrate sustainable aspects in the production planning process. This paper presents input and output information for current PPC systems and discusses the need for additional information necessary for sustainable PPC. For this approach, a text review of cooperate social responsibility (CSR) reporting indicators provided by the GRI was performed. Based on the text review, an input-output model has been developed for conventional and another one for sustainable PPC systems. Through the comparison of the two input-output models, challenges and requirements for sustainable PPC systems have been defined as a basis for future work and analyses.     

Quantifying the rebound effects of residential solar panel adoption

Customers who adopt solar panels can reduce their energy bills and lower the effective average electricity prices they pay. When the price falls, a solar consumer might consume more electricity than before – a solar rebound effect. We provide the first empirical evidence of residential solar rebound effects in the U.S. We use household level hourly and daily electricity meter data as well as hourly solar panel electricity generation data from 277 solar homes and about 4000 non-solar homes from 2013 to 2017 in Phoenix Arizona. Using matching methods and a fixed effects panel regression approach, we find that when solar electricity generation increases by 1 kWh, solar homes increase their total electricity consumption by 0.18 kWh. This indicates that solar rebound effects are estimated at 18%. Building upon our theoretical framework, the increase in consumer surplus from solar panel adoption is estimated at $972/yr.