Analysis of Atmospheric Visibility Variation Characteristics and Its Influencing Factors in Mianyang City

2021 ◽  
Vol 11 (04) ◽  
pp. 676-688
Author(s):  
於琪 王
Keyword(s):  
Influencing Factors ◽  
Atmospheric Visibility ◽  
Variation Characteristics

scholarly journals Spatio-temporal variation characteristics of air pollution and influencing factors in Hebei province

2021 ◽  
Vol 36 (2) ◽  
pp. 411
Author(s):  
Zhen-fang HE ◽  
Qing-chun GUO ◽  
Jia-zhen LIU ◽  
Ying-ying ZHANG ◽  
Jie LIU ◽  
...  
Keyword(s):  
Air Pollution ◽  
Temporal Variation ◽  
Influencing Factors ◽  
Hebei Province ◽  
Variation Characteristics ◽  
Spatio Temporal

scholarly journals Driving Comfort Evaluation for Manhole Covers and Pavement around Manholes

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Quanman Zhao ◽  
Zhigang Li ◽  
Wenjun Hu ◽  
Xianguang Meng ◽  
Hui Zhang
Keyword(s):  
Root Mean Square ◽  
Influencing Factors ◽  
Influence Factors ◽  
Mean Square ◽  
Height Difference ◽  
Maximum Acceleration ◽  
Driving Speed ◽  
Longitudinal Slope ◽  
Variation Characteristics ◽  
Pavement Damage

In order to study the driving comfort and influencing factors when vehicles pass over manholes and pavement around manholes on an urban road, the deformation and vibration of the manhole cover were considered, a multidegree of freedom vibration model of the human-vehicle-manhole cover was established, and the variation characteristics of driving acceleration was analyzed. The root mean square of weighted acceleration was taken as the basic index, and driving comfort was evaluated based on ISO 2631-1-1997 standard. After that, 9 influencing factors were analyzed, such as driving speed, subsidence of manhole, manhole cover stiffness, and longitudinal slope. Then, grey correlation entropy analysis was used to evaluate the influencing factors, and the main factors were determined. The results showed that the maximum acceleration was 3.6 m/s2 when a vehicle was passing over a manhole cover under the basic parameters. At the same time, the root mean square of weighted acceleration was 0.975 m/s2 and driving comfort degree was “uncomfortable.” Driving direction and vibration of the manhole cover had little influence on driving comfort, while the remaining influencing factors had significant influence on that. The ranking of key influence factors on driving comfort was longitudinal slope, driving speed, height difference caused by pavement damage, height difference caused by manhole cover subsidence, tire stiffness, manhole stiffness, and tire damping. Therefore, in order to ensure driving comfort and safety, damage to pavement around manholes and manhole cover subsidence should be repaired in a timely manner.

scholarly journals Spatial variation characteristics and influencing factors of homestay inn price: A case study of Enshi, Hubei

2020 ◽  
Vol 35 (10) ◽  
pp. 2473
Author(s):  
Xiao-fang HU ◽  
Xiao-ya LI ◽  
Hong-min ZHAO ◽  
Lei DENG ◽  
Tian-yu WANG ◽  
...  
Keyword(s):  
Spatial Variation ◽  
Influencing Factors ◽  
Variation Characteristics

scholarly journals Study on variations in lidar ratios for Shanghai based on Raman lidar

2020 ◽  
Author(s):  
Tongqiang Liu ◽  
Qianshan He ◽  
Yonghang Chen ◽  
Jie Liu ◽  
Qiong Liu ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Particle Shape ◽  
Strong Dependence ◽  
Raman Lidar ◽  
Height Range ◽  
Air Masses ◽  
Average Value ◽  
Atmospheric Turbidity ◽  
Vertical Distributions ◽  
Variation Characteristics

Abstract. Accurate Lidar ratios (LR) and better understanding of their variation characteristics can not only improve the retrieval accuracy of parameters from elastic lidar, but also play an important role in assessing the impacts of aerosols on the climate. Using the observational data of Raman lidar in Shanghai from 2017 to 2019, the LR at 355 nm were retrieved and their variations and influencing factors were analyzed. Within the height range of 0.5 km–5 km, about 90 % of the LR were distributed in 10 sr–80 sr with an average value of 41.0 ± 22.5 sr, and the LR decreased with the increase of height. The volume depolarization ratios (δ) were positively correlated with LR, and they also decreased with the increase of height, indicating that the vertical distribution of particle shape was one of the influencing factors of the variations of LR with height. LR had a strong dependence on the original source of the air masses. Affected by the aerosol transported from northwest of Shanghai, the average LR was the largest, 44.2 ± 24.7 sr, accompanied by the most irregular particle shape. The vertical distributions of LR were affected by the atmospheric turbidity, with the greater gradient of LR under the clean conditions. The LR above 1 km could be more than 80 sr, when Shanghai was affected by the biomass burning aerosols.

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