Bibliometric analysis of simulated driving research from 1997 to 2016

Objective: The objective of this study was to explore the evolution footprints of simulated driving research in the past 20 years through rigorous and systematic bibliometric analysis, to provide insights regarding when and where the research was performed and by whom and how the mainstream content evolved over the years.

Methods: The analysis began with data retrieval in Web of Science with defined search terms related to simulated driving. BibExcel and CiteSpace were employed to conduct the performance analysis and co-citation network analysis; that is, probe of the performance of institutes, journals, authors, and research hotspots.

Results: A total of 3,766 documents were filtered out and presented an exponential growth from 1997 to 2016. The United States contributed the most publications as well as international collaborations followed by Germany and China. In addition, several universities in The Netherlands and the United States dominated the list of contributing institutes. The leading journals were in transportation and ergonomics. The leading researchers were also recognized among the 8,721 contributing authors, such as J. D. Lee, D. L. Fisher, J. H. Kim, and K. A. Brookhuis. Finally, the co-citation analysis illuminated the evolution of simulated driving research that covered the following topics roughly in chronological order: task-induced stress, drivers with neurological disorders, alertness and sleepiness while driving, trust toward driving assistance systems, driver distraction, the effect of drug use, the validity of simulators, and automated driving.

Conclusions: This article employed bibliometric tools to probe the contributing countries, institutes, journals, authors, and mainstream hotspots of simulated driving research in the past 20 years. A systematic bibliometric analysis of this field will help researchers realize the panorama of global simulated driving and establish future research directions.     

Scale Effects on Spatially Varying Relationships Between Urban Landscape Patterns and Water Quality

Scientific interpretation of the relationships between urban landscape patterns and water quality is important for sustainable urban planning and watershed environmental protection. This study applied the ordinary least squares regression model and the geographically weighted regression model to examine the spatially varying relationships between 12 explanatory variables (including three topographical factors, four land use parameters, and five landscape metrics) and 15 water quality indicators in watersheds of Yundang Lake, Maluan Bay, and Xinglin Bay with varying levels of urbanization in Xiamen City, China. A local and global investigation was carried out at the watershed-level, with 50 and 200 m riparian buffer scales. This study found that topographical features and landscape metrics are the dominant factors of water quality, while land uses are too weak to be considered as a strong influential factor on water quality. Such statistical results may be related with the characteristics of land use compositions in our study area. Water quality variations in the 50 m buffer were dominated by topographical variables. The impact of landscape metrics on water quality gradually strengthen with expanding buffer zones. The strongest relationships are obtained in entire watersheds, rather than in 50 and 200 m buffer zones. Spatially varying relationships and effective buffer zones were verified in this study. Spatially varying relationships between explanatory variables and water quality parameters are more diversified and complex in less urbanized areas than in highly urbanized areas. This study hypothesizes that all these varying relationships may be attributed to the heterogeneity of landscape patterns in different urban regions. Adjustment of landscape patterns in an entire watershed should be the key measure to successfully improving urban lake water quality.     

Authentication of emission monitoring data and optimization of desulfurization in the molybdenum roasting process based on BAT-OOPN and the response surface method

Environmental Science and Pollution Research - This paper presents a quantitative pollutant discharge model for a typical molybdenum roasting plant, which combines the best available technology and...     

Environmental knowledge,behaviors, and attitudes regarding caffeine consumption among Chinese university students from the perspective of ecopharmacovigilance

Environmental Science and Pollution Research - Caffeine is considered the most representative pharmaceutical emerging contaminant (PEC) because of its ubiquity, high environmental abundance,...     

Knowledge map and global trends in extreme weather research from 1980 to 2019: a bibliometric analysis

Environmental Science and Pollution Research - There is an increasing number of studies focusing on extreme weather all over the world, but global trends and research topics related to extreme...     

复合铁添加物对混合有机固废厌氧产氢的影响

将城镇污水处理厂的城市污泥与餐厨垃圾混合后,经厌氧消化处理后可产生能源气体氢气,从而达到资源化利用的目的.废铁屑是机械加工厂的固体废弃物,将其处理后可得到一种新型复合铁材料(FE/FEO).将城市污泥和餐厨垃圾预处理后按体积比1:1比例混合,分别等分放入2个反应器中,一个投加FE/FEO粉末作为为FE/FEO组,另一个不加FE/FEO作为对照组,考察了FE/FEO对上述混合有机固废厌氧产氢的影响.结果表明,在厌氧反应的24h内,FE/FEO组的最大氢气体积分数为61.4％,比不加FE/FEO的对照组增加了15％;FE/FEO组的累积产氢率和最大产氢率分别为49.0和22.7 L·kg4(以1 kg挥发性有机固体所能产生的氢气体积计),比对照组分别增加了56％和59％.FE/FEO组的亚铁离子质量浓度在第24 h达到最大,即109.8 mg-L-1.FE/FEO组产生的挥发性有机酸为2 675 mg·L-1,比对照组提高了15％.FE/FEO粉末中不仅含有零价铁、氧化亚铁,还有针孔状α-FeOOH,其结构松散、比表面积大,可对厌氧发酵系统中的微生物菌群起到支撑骨架作用.本研究结果可为提高有机固废厌氧发酵产氢效率提供参考.     

1025t/h四角切圆煤粉炉内空气过量系数对NO生成的影响

文章采用计算流体力学软件Fluent数值模拟了1 025 t/h四角切圆煤粉炉内的湍流扩散燃烧,分析了空气过量系数对炉内烟气速度、烟气温度和氮氧化物组分的影响。结果表明:空气过量系数会对炉内流场的空气动力学特性和温度场分布均匀性产生显著影响。煤粉炉膛最佳空气过量系数为1.07,此时炉内温度场、速度场和浓度场的分布可使燃烧中间产物HCN和NH_3较好的将燃料型NO还原为N_2,来充分发挥空气分级燃烧降低NO排放的功效。     

某钢铁企业颗粒物无组织排放核算与监测对比分析

以济南东部老工业区一家大型钢铁企业为例,通过前期调研和排放系数核算出颗粒物(TSP)排放总量,再运用公式计算出厂区周边不同距离颗粒物(TSP)的落地浓度。将该落地浓度与厂区周边颗粒物(TSP)的监测值进行对比分析,充分印证了连续点源扩散的高斯模式的准确性和可行性。随着气流经过该厂区,对比上下风向监测点位颗粒物(TSP)浓度迅速升高(增大1.04倍),下风向颗粒物(TSP)浓度超出二级标准1.32倍;颗粒物(TSP)的落地浓度在厂区不同距离上的浓度变化明显,从0.1到10 km其落地浓度稀释了约3 500倍,距离>4 km时,无组织排放的颗粒物(TSP)对周围空气质量直接影响有限。     

Effects of sludge retention time, carbon and initial biomass concentrations on selection process: From activated sludge to polyhydroxyalkanoate accumulating cultures

Four sequence batch reactors (SBRs) fed by fermented sugar cane wastewater were continuously operated under the aerobic dynamic feeding (ADF) mode with different configurations of sludge retention time (SRT), carbon and initial biomass concentrations to enrich polyhydroxyalkanoate (PHA) accumulating mixed microbial cultures (MMCs) from municipal activated sludge. The stability of SBRs was investigated besides the enrichment performance. The microbial community structures of the enriched MMCs were analyzed using terminal restriction fragment length polymorphism (T-RFLP). The optimum operating conditions for the enrichment process were: SRT of 5 days, carbon concentration of 2.52 g COD/L and initial biomass concentration of 3.65 g/L. The best enrichment performance in terms of both operating stability and PHA storage ability of enriched cultures (with the maximum PHA content and PHA storage yield (Y_PHA/S) of 61.26% and 0.68 mg COD/mg COD, respectively) was achieved under this condition. Effects of the SRT, carbon concentration and initial biomass concentration on the PHA accumulating MMCs selection process were discussed respectively. A new model including the segmentation of the enrichment process and the effects of SRT on each phase was proposed.     

Effects of free ammonia on volatile fatty acid accumulation and process performance in the anaerobic digestion of two typical bio-wastes

The effect of free ammonia on volatile fatty acid(VFA)accumulation and process instability was studied using a lab-scale anaerobic digester fed by two typical bio-wastes:fruit and vegetable waste(FVW)and food waste(FW)at 35°C with an organic loading rate(OLR)of 3.0 kg VS/(m~3·day). The inhibitory effects of free ammonia on methanogenesis were observed due to the low C/N ratio of each substrate(15.6 and 17.2,respectively). A high concentration of free ammonia inhibited methanogenesis resulting in the accumulation of VFAs and a low methane yield. In the inhibited state,acetate accumulated more quickly than propionate and was the main type of accumulated VFA. The co-accumulation of ammonia and VFAs led to an "inhibited steady state" and the ammonia was the main inhibitory substance that triggered the process perturbation. By statistical significance test and VFA fluctuation ratio analysis,the free ammonia inhibition threshold was identified as 45 mg/L. Moreover,propionate,iso-butyrate and valerate were determined to be the three most sensitive VFA parameters that were subject to ammonia inhibition.