北京首都机场绿色滑行时间估算

采用北京首都机场2014年实际CDM地面放行数据确定航空器的污染物排放量与离场排队飞机数量和落地滑入飞机数量的强关联性,构建包含这两个解释变量为影响因素的多元线性回归模型,用以估算几种常见机型在首都机场地面运行时的最小污染物排放量和绿色滑行时间。对比实际污染物排放量与最小污染物排放量,得出首都机场离场地面污染物排放量远远超过最小污染物排放量。     

广州白云国际机场飞机大气污染物排放分析

根据收集到的2008-2012年广州白云国际机场航班起降次数,参考《珠江三角洲非道路移动源排放清单开发》飞机污染物估算方法及排放因子,计算出此期间机场飞机大气污染物排放量,并与2010-2012年广州市机动车污染物排放情况对比。结果表明：飞机大气污染物排放量随客运量的增长呈逐年上升趋势,而与机动车排放相比,飞机大气污染物排放量较小,故现阶段仍应以机动车作为移动源污染控制的重点。     

环保多功能沥青除冰路面一体化设计研究

依托湖北杭瑞高速公路工程,为降低沿线行车通过居民区带来的噪音污染,解决冬季路面积雪薄冰带来的行车安全问题,以具有一定结构除冰性能的高连通孔隙沥青路面材料为基体,选用橡胶高黏度改性沥青,并掺入环保型化学抑冰剂,开发设计具有除冰、降噪、抗滑功能材料路面。以不牺牲路用性能为前提,通过测试动稳定度、冻融劈裂强度比、飞散损失、抗剪强度等,确定环保型化学抑冰剂的掺量。同时利用驻波管法、手工铺砂法及轮碾法测定空隙率分别为16%、20%、24%、28%的路面材料除冰性能、降噪性能和抗滑性能。测试结果表明,当环保型融雪除冰剂的掺量为2%,空隙率控制在20%左右时,高连通孔隙沥青材料的路面使用性能最佳,具有较好的除冰性能、降噪性能和抗滑性能。     

基于机器学习的电热防除冰表面温度变化趋势预测

针对飞机部件周期控制律电加热防除冰的应用,提出基于机器学习以预测电加热防除冰表面温度的变化趋势.依靠大型结冰风洞及其电加热防除冰控制系统完成防除冰试验,获得有效的试验数据,以通、断电周期为分割单元,将试验数据划分成验证集和训练集.根据电热防除冰过程的换热情况,构建样本的特征参数,利用机器学习的有监督学习方式,选择KNN近邻回归算法和局部线性加权回归算法预测温度变化率,再转换为温度,得到的温度变化与测量数据的线性相关性达到80％以上的高相似度结果,表明使用机器学习可快速预测电热防除冰部件的表面温度变化趋势,且不同的回归算法针对模型不同测温点位置的预测效果存在差异.     

Large eddy simulation of plume dispersion behind an aircraft in the take-off phase

The aim of this paper is to provide an investigation, using large eddy simulation, into plume dispersion behind an aircraft in co-flowing take-off conditions. Validation studies of the computational model were presented by Aloysius and Wrobel (Environ Model Softw 24:929–937, 2009) and a study of the flow and dispersion properties of a double-engine aircraft jet was presented by Aloysius et al. (EEC/SEE/2007/001, EUROCONTROL Experimental Centre, ), in which only the engine was modelled. In this paper, the complete geometry of a Boeing 737 is modelled and investigated. The current work represents a contribution towards a better understanding of the source dynamics behind an airplane jet engine during the take-off and landing phases. The information provided from these simulations will be useful for future improvements of existing dispersion models.     

Transport and anaerobic biodegradation of propylene glycol in gravel-rich soil materials

Continued input of airplane de-icing/anti-icing fluids (ADAF) to runway adjacent soils may result in the depletion of soil-borne terminal electron acceptors. We studied the transport and transformation of propylene glycol (PG), the major constituent of many ADAF, in topsoil and subsoil samples using saturated column experiments at 4 degrees C and 20 degrees C. The export of soil-borne DOC was generally high, non-exhaustive and rate limited. Retardation of added PG was negligible. Rapid PG degradation was observed only in topsoil materials high in organic matter at 20 degrees C. At 4 degrees C, no significant degradation was observed. Thus, under unfavorable, i.e., wet and cold conditions typical for winter de-icing operations, PG and its metabolites will be relocated to deeper soil horizons or even to the groundwater. In subsoil materials, PG degradation was very slow and incomplete. We found that subsoil degradation depended on the import of active microorganisms originating from the organic-rich topsoil material. The degradation efficiency is strongly influenced by the flow velocity, i.e., the residence time of PG in the soil column. Poorly crystalline iron(III) and manganese(IV) (hydr)oxides are used during microbial respiration acting as terminal electron acceptors. This results in the formation and effective relocation of reduced and mobile Fe and Mn species. Long-term application of ADAF to runway adjacent soil as well as the lasting consumption of Fe and Mn will tend to decrease the soil redox potential. Without proper counteractive measures, this will eventually favor the development of methanogenic conditions.     

飞机地面积/除冰环境模拟与试验研究

飞机地面积冰是飞机进入冬季安全飞行的重要隐患,很多飞行事故都是因为没有清除飞机表面的积冰而造成的。基于对飞机地面积/除冰的真实环境的分析,在低温湿热试验箱中模拟积/除冰时的大气条件,对机翼积/除冰进行试验研究。通过改变环境温度、除冰液温度、流量、浓度等影响因素,利用光纤式结冰传感器得到不同环境条件下,除冰液参数对除冰过程的影响数据,并对这些数据进行了分析。试验结果表明该装置能有效地模拟飞机地面积/除冰过程,数据分析显示飞机地面结冰过程主要受外界环境温度,湿度(空气的水含量)的影响;对飞机地面除冰来说,除冰液温度参数是除冰效果达到最佳的关键因素。     

Impacts of de-icing salt pollution on urban road greenspace: a case study of Beijing

De-icing salt contamination of urban soil and greenspace has been a common issue of concern in many countries for years. In the 2009/2010 winter, Beijing experienced a contamination accident resulting from the overuse of deicing salt, reported as almost 30000 tons, which severely damaged urban vegetation alongside roadways. The methods of sampling and rating for both soil contamination and response of the plant populations were developed to rapidly assess this emergency environmental event. Results showed that the shrubs were more severely damaged than the arbors in terms of both degree and extent, as almost all of the surveyed shrubs were severely damaged from the salt contamination, while only about 1/4 of the recorded arbors were rated as ＂severely injured＂ according to the integral plant injury index. The rating of the injury level showed that the trees like Pinus bungeana, Sophora japonica, and the shrubs like Euonymus japonicus, Sabina vulgaris showed less tolerance to de-icing salt pollution. The patterns of vegetation damage demonstrated that the ever-green shrubs alongside roads and the deciduous arbors in the center of roads were most vulnerable to the salt damage.     

融雪剂的环境污染与控制对策

分析了目前北方城市大量使用的融雪剂对环境产生的影响,包括对植物的危害、对桥梁及路面钢筋混凝土的腐蚀等。并提出采取有效可行的措施降低其对环境的污染,如生产环保型融雪剂、改进融雪剂的使用方法。     

军机易损性评估体系安全度值的研究

军机易损性评估至为关键的因素之一是可靠的确定评估指标的安全度值。基于模糊统计基础上的集值统计 ,能有效地确定具有随机、模糊性质的军机易损性评估指标的安全度值 ;在确定过程中 ,可以给出易损性评估指标安全度值的可靠性程度和各评估专家的偏离度。实例表明 ,该法弥补了目前军机易损性评估中由经典统计法确定安全度值的不足 ,提高了军机易损性评估的准确度和可靠度。