scholarly journals Exploration of the Theoretical Physical Capacity of the John F. Kennedy International Airport Runway System

2014 ◽  
Author(s):  
Kurt W. Neitzke ◽  
Nelson Guerreiro
Keyword(s):  
Physical Capacity ◽  
International Airport ◽  
Airport Runway

scholarly journals The model and simulation of low impact development of the sponge airport, China

2019 ◽  
Vol 20 (2) ◽  
pp. 383-394 ◽  
Author(s):  
Jing Peng ◽  
Jiayi Ouyang ◽  
Lei Yu ◽  
Xinchen Wu
Keyword(s):  
Flood Control ◽  
Low Impact Development ◽  
Water Environment ◽  
Drainage System ◽  
Practical Significance ◽  
International Airport ◽  
Model And Simulation ◽  
Impervious Area ◽  
Before And After ◽  
Airport Runway

Abstract Recently urban waterlogging problems have become more and more serious, and the construction of an airport runway makes the impervious area of the airport high, which leads to the deterioration of the water environment and frequent waterlogging disasters. It is of great significance to design and construct the sponge airport with low impact development (LID) facilities. In this paper, we take catchment N1 of Beijing Daxing International Airport as a case study. The LID facilities are designed and the runoff process of a heavy rainfall in catchment N1 is simulated before and after the implementation of LID facilities. The results show that the total amount of surface runoff, the number of overflow junctions and full-flow conduits of the rainwater drainage system in catchment N1 of Beijing Daxing International Airport are significantly reduced after the implementation of the LID facilities. Therefore, the application of LID facilities has greatly improved the ability of the airport to remove rainwater and effectively alleviated the risk of waterlogging in the airport flight area. This study provides theoretical support for airport designers and managers to solve flood control and rainwater drainage problems and has vital practical significance.

scholarly journals IMPACT OF AIRCRAFT TRAFFIC EMISSIONS ON OZONE FORMATION AT THE RIO DE JANEIRO URBAN AREA

2007 ◽  
Vol 07 (4) ◽  
pp. 21-30
Author(s):  
C.S. GUIMARÃES ◽  
G. ARBILLA ◽  
S.M. CORRÊA ◽  
L.V. GATTI
Keyword(s):  
Rio De Janeiro ◽  
Ozone Formation ◽  
Flame Ionization Detection ◽  
Downtown Area ◽  
International Airport ◽  
Flame Ionization ◽  
Volatile Organic ◽  
Airport Runway ◽  
Janeiro City ◽  
The U.S

Data for speciated volatile organic compounds (VOC) evaluated in Santos-Dumont Airport and Antonio Carlos Jobim International Airport in Rio de Janeiro, Brazil, are reported. VOC were evaluated by gas chromatography with flame ionization detection (GC – FID) and mass spectrometry (GC – MS), following the U.S. EPA TO – 15 methodology. At Santos-Dumont Airport were quantified 1376 µg m-3 of VOCs 10 m from runway, 408 µg m-3 inside the airport building, and 116 µg m-3 outside the airport area. At the taxiway area of the International Airport a total of 190 µg m-3 of VOC were quantified. Toluene, the most abundant compound near the Santos-Dumont Airport runway, was obtained in a non-significative concentration outside the airport area. This fact suggests that this area is not noticeably impacted by air traffic. A computational model was developed using the OZIPR program and the SAPRC mechanism. Calculated ozone concentrations are higher than values for downtown area of Rio de Janeiro city. Simulated results show that, for the runway in Santos-Dumont Airport, olefins and aromatics contribute in 57% and 15%, respectively, to ozone formation, toluene being the major contributor. Cis-2-butene is the most reactive species regarding OH reaction.

Refinements to a Procedure for Estimating Airfield Capacity

2015 ◽  
Vol 2501 (1) ◽  
pp. 18-24 ◽  
Author(s):  
Amy Kim ◽  
S. A. Rokib ◽  
Yi Liu
Keyword(s):  
Performance Metrics ◽  
Historical Data ◽  
Meteorological Condition ◽  
Data Sets ◽  
Data Set ◽  
International Airport ◽  
Air Traffic Controllers ◽  
Ground Delay ◽  
Censored Regression Model ◽  
Airport Runway

This paper presents a method for obtaining airfield capacity estimates using historical data from FAA's Aviation System Performance Metrics (ASPM) database. The process first involves merging individual flights and quarter-hour airport runway operations data sets from ASPM to create a new data set. Data for Newark Liberty International Airport (EWR) in New Jersey and San Diego International Airport in California from 2006 to 2011 were used. Then, filters for meteorological condition, runway configuration, called rates, and fleet mix were applied to the two airport data sets. The filtered data sets were then used in a censored regression model of capacity that included queue length (number of aircraft waiting to arrive or depart) and arrival–departure throughput count splits as independent variables. These attributes were found to affect airfield capacity at statistically significant levels, and parameters had expected signs and magnitudes. Additionally, capacities under ideal conditions were found to be reasonably close to other sources. The model also confirmed that average capacities at EWR during hours when a ground delay program (GDP) was running were lower than when there was no GDP in effect. The method described in this paper could be used to more precisely quantify airfield capacities in specific conditions of particular interest to air traffic controllers and airport operators to better facilitate decisions that rely heavily on a good understanding of capacity in these conditions. The data exploration and preparation undertaken as part of the study reveal some of the finer points of the ASPM data and how they can be used in a more meaningful way for airfield capacity estimation.

Changes of Physical Capacity and Soccer-Related Skills in Young Soccer Players within a One-Year Training Period

2011 ◽  
Vol 3 (4) ◽  
Author(s):  
Zbigniew Jastrzębski ◽  
Wojciech Barnat ◽  
Anna Konieczna ◽  
Paweł Rompa ◽  
Łukasz Radzimiński
Keyword(s):  
Physical Capacity ◽  
Soccer Players ◽  
Training Period ◽  
One Year
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