Aviation Noise and Air Pollution: Results of a Study at Entebbe International Airport, Uganda

Air pollution generated from airport activities has become public concern and the subject of more rigorous government regulations. The Airport Operators are stipulated to control the pollution and for the accountability of air quality that might affect public health. The main objective of this study is to establish a model for the distribution of air pollutants and to predict their concentrations generated by the runway and apron operations at Sam Ratulangi International Airport (Manado) until 2024, in accordance with the airport expansion program. The data was collected in the airport surrounding area in 2018, while the climate data over a span of 10 years, from 2009 to 2018, was obtained from Sam Ratulangi Meteorological Station. The modeling on dispersion of air pollutant gases was developed by the Gaussian Plume Equation. The simulation was performed using AERMOD software, and the results visualized by GIS software. AERMOD software was recommended by the US-EPA to predict the impact of air pollutants. The results predicted that the maximum concentrations of NOx; HC; and CO generated by runway activities modeling in 2024 were 250 μg.m-3; 6.4 μg.m-3; and 87 μg.m-3 respectively. The results also predicted that the maximum concentrations of NOx; CO; and PM10 due to apron operational activities in 2024 were 260 μg.m-3; 892 μg.m-3; and 2.5 μg.m-3 respectively. The model predicted that in 2024 the air pollution at Sam Ratulangi International Airport will remain under the limit as defined in Indonesian Government Regulation No. 22 of 2021. To mitigate the future increase in air emissions due to the increase in airport capacity, the recommendation were proposed in the several areas, which were including operation management, technology, policies and airport regulations, as well as the provision of green area.

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Level of Aviation Noise: Their Effects on the Inhabitants near Francisco Bangoy International Airport

UIC Research Journal ◽

10.17158/478 ◽

2016 ◽

Vol 19 (1) ◽

Author(s):

Aylmer Ronnel L. Sombilla ◽

Aaron Paul R. Paciente ◽

Cristy Marie C. Masalta ◽

Martin C. Sorolla ◽

Carlwen Jave J. Pausta ◽

...

Keyword(s):

Noise Pollution ◽

Sound Level ◽

Chi Square ◽

Noise Abatement ◽

International Airport ◽

Aviation Noise ◽

Chi Square Test ◽

Level Meter ◽

Degree Of Association ◽

The Impact

Recognizing the need to assess the impact of noise pollution in vulnerable locations such as the subdivisions in close proximity to the airport, the researchers conducted a survey to characterize how aircraft noise affects the everyday lives of the residents within the perimeter of Francisco Bangoy International Airport of Davao City. Specifically, the investigation determined the levels of aviation noise intensities in dB(A) in four subdivisions surrounding the airport. Moreover, the degrees of effect as regards disturbance of resting time, health, communication, mood, and need for noise abatement of the respondents in the places were also measured. The digital sound level meter was used to measure the aviation noise intensities while a validated researchermade questionnaire was utilized to collect data to characterize many aspects of aviation noiseeffects. Four hundred respondents were randomly chosen from the identified subdivisions. Chi-square test was used to establish the degree of association between the level of aviation noise and its effect. Findings revealed that the noise levels are within 40-60 dB (A) for relatively distant places and 90-110 dB (A) in areas very near the airport. Many aspects of aviation noise have affected the lives of the inhabitants. There was a significant association between the level of aviation noise and the extent of its effect. Keywords: Social Science, environmental engineering, aviation noise, inhabitants, noise effects, descriptive survey, Davao City, Philippines

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Environmental service assessment of trees at Yogyakarta International Airport open space using CITYGreen 5.2

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/879/1/012021 ◽

2021 ◽

Vol 879 (1) ◽

pp. 012021

Author(s):

R A Rahmadanti ◽

B Sulistyantara

Keyword(s):

Air Pollution ◽

Carbon Storage ◽

Open Space ◽

Total Concentration ◽

Cost Savings ◽

Canopy Cover ◽

Tree Canopy ◽

Environmental Services ◽

International Airport ◽

Tree Canopy Cover

Abstract Urban development has many negative impacts in the form of an increase in the concentration of CO2 in the air. One of them is due to the increase in the volume of vehicles. CO2 causes an increase in global temperature (global warming) through the greenhouse effect. Yogyakarta International Airport has a green open space planted with trees to support the existence of the airport itself. Trees have contributed to efforts to reduce CO2 in the air through CO2 absorption. Control of the amount of CO2 emissions in the air is done by adding carbon stocks on land so that the CO2 concentration does not continue to increase, therefore this research is necessary. The purpose of this study is to analyze the ability of trees to absorb pollutants and store carbon and estimate the value of environmental services that will be contributed by the tree green system at Yogyakarta International Airport based on existing planting plans. The research method used is modeling using CITYGreen 5.2 software to determine the value of tree services in the ability to absorb air pollution, carbon storage capacity, and cost savings that can be done by tree canopies. The method used in this study consisted of preparation, data inventory, and data analysis. The results of this study show that the value of environmental services provided by 125,72 acres of tree canopy cover in absorbing air pollution in the airport area is $ 9.045,54 / year or equivalent to Rp 133.356.587,10 per year, the total concentration of pollutants that can be absorbed is 3.813,30 lbs/year or equivalent to 1.729,68 kg/year, and the capacity of carbon storage is 1.326,46 tons with a sequestration rate of around 29,9 tons/year.

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