scholarly journals Optimization of Building Facade Voids Design, Facade Voids Position and Ratios - Wind Condition Relation

2018 ◽  
Author(s):  
Enes Yasa
Keyword(s):  
Wind Condition ◽  
Building Facade

MEASUREMENT AND ANALYSIS OF TRAIN NOISE DETECTED ON A BUILDING FAÇADE.

2008 ◽  
Vol 13 (13) ◽  
pp. 58-67
Author(s):  
QUARTIERI J. ◽  
GUIDA M. ◽  
LENZA L. ◽  
GUARNACCIA C. ◽  
D’AGOSTINO P. ◽  
...  
Keyword(s):  
Building Facade ◽  
Measurement And Analysis

scholarly journals Impact of crop field burning and mountains on heavy haze in the North China Plain: A case study

2016 ◽  
Author(s):  
X. Long ◽  
X. X. Tie ◽  
J. J. Cao ◽  
R. J. Huang ◽  
T. Feng ◽  
...  
Keyword(s):  
Air Pollution ◽  
North China Plain ◽  
North China ◽  
Wind Condition ◽  
Beijing City ◽  
The North ◽  
The North China Plain ◽  
Crop Field ◽  
The Impact ◽  
Field Burning

Abstract. Crop field burning (CFB) has important effects on air pollution in China, but it is seldom quantified and reported in a regional scale, which is of great importance for the control strategies of CFB in China, especially in the North China Plain (NCP). With the provincial statistical data and open crop fires captured by satellite (MODIS), we extracted a detailed emission inventory of CFB during a heavy haze event from 6th to 12th October 2014. A regional dynamical and chemical model (WRF-Chem) was applied to investigate the impact of CFB on air pollution in NCP. The model simulations were compared with the in situ measurements of PM2.5 (particular matter with radius less than 2.5 μm) concentrations. The model evaluation shows that the correlation coefficients (R) between measured and calculated values exceeds 0.80 and absolute normalized mean bias (NMB) is no more than 14 %. In addition, the simulated meteorological parameters such as winds and planetary boundary layer height (PBLH) are also in good agreement with observations. The model was intensive used to study (1) the impacts of CFB and (2) the effect of mountains on regional air quality. The results show that the CFB occurred in southern NCP (SNCP) had significant effect on PM2.5 concentrations locally, causing a maximum of 35 % PM2.5 increase in SNCP. Because of south wind condition, the CFB pollution plume is subjective a long transport to northern NCP (NNCP-with several mega cities, including Beijing of the capital city in China), where there are no significant CFB occurrences, causing a maximum of 32 % PM2.5 increase in NNCP. As a result, the heavy haze in Beijing is enhanced by the CFB occurred in SNCP. Further more, there are two major mountains located in the western and northern NCP. Under the south wind condition, these mountains play important roles in enhancing the PM2.5 pollution in NNCP through the blocking and guiding effects. This study suggests that the PM2.5 emissions in SNCP region should be significantly limited in order to reduce the occurrences of heavy haze events in NNCP region, including the Beijing City.

Impact of Varying Flight Training Criteria on Flight Task Transfer Performance

1980 ◽  
Vol 24 (1) ◽  
pp. 572-572
Author(s):  
Mark Nataupsky ◽  
Thomas M. McCloy ◽  
John M. Bermudez ◽  
Valentin W. Tirnan ◽  
Villiam G. Buchta ◽  
...  
Keyword(s):  
Transfer Of Training ◽  
Transfer Task ◽  
Dependent Measure ◽  
The Other ◽  
Flight Training ◽  
Control Group ◽  
Wind Condition ◽  
Air Force Academy ◽  
Carry Over ◽  
Transfer Tasks

Recent studies have shown that criterion levels established in training directly affect later performance of subjects on experimental tasks. Approximately 20% of variance can be explained by these criteria. The purpose of this study was to determine if a similar relationship can be found in transfer of training situations. Twenty male Air Force Academy cadets were trained to one of two multiple criteria levels on a difficult flight manuever in a GAT-1 simulator. There was a easy criterion set and a more difficult criterion set. These two sets consisted of holding prescribed performance parameters in heading, vertical velocity, and altitude. After achieving their assigned criterion, all cadets in each of the two groups were then tested on the same task in a GAT-1 simulator, but this time the maneuver had to be performed under turbulent wind conditions. This wind condition served as the transfer task. Half of the cadets in each group had the same criterion in both the training and the transfer task. The other cadets had different criteria in the training and transfer tasks. Thus there were four experimental groups: easy-easy, easy-difficult, difficult-easy, difficult-difficult. One control group had the easy criterion while the other control group had the difficult criterion. There were five cadets in each control group. The dependent measure was the Transfer Effectiveness Ratio (TER), derived from trials of this criterion data. This index is an estimate of the amount of time saved in learning a transfer task when performance is adjusted to that of a control group. Several analyses of various tasks of derived scores yielded significant results, confirming that criterion levels established in training carry over to transfer of training situations. Moreover, the data showed consistency in accounting for 20% or more of the variance.

scholarly journals Dimensional analysis on forest fuel bed fire spread

2018 ◽  
Vol 48 (1) ◽  
pp. 105-110
Author(s):  
Jiann C. Yang
Keyword(s):  
Dimensional Analysis ◽  
Fire Spread ◽  
Fuel Particle ◽  
Wind Condition ◽  
Spread Rate ◽  
Fuel Loading ◽  
Rate Of Spread ◽  
Dimensionless Groups ◽  
Dimensionless Correlations ◽  
Fuel Moisture Content

A dimensional analysis was performed to correlate the fuel bed fire rate of spread data previously reported in the literature. Under wind condition, six pertinent dimensionless groups were identified, namely dimensionless fire spread rate, dimensionless fuel particle size, fuel moisture content, dimensionless fuel bed depth or dimensionless fuel loading density, dimensionless wind speed, and angle of inclination of fuel bed. Under no-wind condition, five similar dimensionless groups resulted. Given the uncertainties associated with some of the parameters used to estimate the dimensionless groups, the dimensionless correlations using the resulting dimensionless groups correlate the fire rates of spread reasonably well under wind and no-wind conditions.

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