Analysis of the effects of meteorology on aircraft exhaust dispersion and deposition using a Lagrangian particle model

Pecorari, Eliana; Mantovani, Alice; Franceschini, Chiara; Bassano, Davide; Palmeri, Luca; Rampazzo, Giancarlo

doi:10.1016/j.scitotenv.2015.08.147

Cited by 21 publications

(8 citation statements)

References 54 publications

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“…Under such circumstances, the site was chosen to catch the aircraft plumes and was set in a place downwind of the latter part of the taxiway and the beginning of the runway, where aircraft run their engines at 100% thrust during take-off or where the wheels hit the ground during landing causing smoke clearly visible to the naked eye. This choice was further supported by a modelling study (Pecorari et al, 2015) reporting that the site is affected by aircraft engine plumes for gaseous pollutants.…”

Section: Site Descriptionmentioning

confidence: 95%

Source apportionment of wide range particle size spectra and black carbon collected at the airport of Venice (Italy)

Masiol

Beddows

et al. 2016

Atmospheric Environment

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h i g h l i g h t sParticle number, size and black carbon were measured at the airport of Venice. Data were analysed along with gases, weather parameters and flight traffic. Six potential sources were identified and apportioned by PMF analysis on PNSD. Airport emissions contributed~20% to the total PNC. No specific local sources of BC can be identified as dominant. a b s t r a c t Atmospheric particles are of high concern due to their toxic properties and effects on climate, and large airports are known as significant sources of particles. This study investigates the contribution of the Airport of Venice (Italy) to black carbon (BC), total particle number concentrations (PNC) and particle number size distributions (PNSD) over a large range (14 nme20 mm). Continuous measurements were conducted between April and June 2014 at a site located 110 m from the main taxiway and 300 m from the runway. Results revealed no significantly elevated levels of BC and PNC, but exhibited characteristic diurnal profiles. PNSD were then analysed using both k-means cluster analysis and positive matrix factorization. Five clusters were extracted and identified as midday nucleation events, road traffic, aircraft, airport and nighttime pollution. Six factors were apportioned and identified as probable sources according to the size profiles, directional association, diurnal variation, road and airport traffic volumes and their relationships to micrometeorology and common air pollutants. Photochemical nucleation accounted for~44% of total number, followed by road þ shipping traffic (26%). Airport-related emissions accounted for~20% of total PNC and showed a main mode at 80 nm and a second mode beyond the lower limit of the SMPS (<14 nm). The remaining factors accounted for less than 10% of number counts, but were relevant for total volume concentrations: nighttime nitrate, regional pollution and local resuspension. An analysis of BC levels over different wind sectors revealed no especially significant contributions from specific directions associated with the main local sources, but a potentially significant role of diurnal dynamics of the mixing layer on BC levels. The approaches adopted in this study have identified and apportioned the main sources of particles and BC at an international airport located in area affected by a complex emission scenario. The results may underpin measures for improving local and regional air quality, and health impact assessment studies.

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Section: Site Descriptionmentioning

confidence: 95%

Source apportionment of wide range particle size spectra and black carbon collected at the airport of Venice (Italy)

Masiol

Beddows

et al. 2016

Atmospheric Environment

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“…It is known as CO2, H2O, NOX, SOX, CO, HC, VOC, NMVOC, and other gases and particulates. CO2, CH4 N2O gases, which are called greenhouse gas emissions, are among the gases released [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Pecorari et al [14] analyzed the CO, HC, and NOX emissions from aircraft with the help of the Lagrangian particle method. Uygur and Ozgunoglu [15] examined the CO2, NMVOC, CH4 N2O, NOX, CO, and SO2 gaseous generated during the LTO cycles of aircrafts at Kahramanmaraş Airport in 2016.…”

Section: Introductionmentioning

confidence: 99%

Determining of Aircraft Engine Greenhouse Gas (CO2, CH4 and N2O) Emissions from the Landing and Take-Off Operations Around the Airport Area

Akdeniz

2021

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

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Recently, environmental concerns arising from aviation activities have increased, and studies on the environmental aspect of aircraft operations within the concept of sustainable and cleaner aviation have become one of the important research topics. In this study, the greenhouse gas (GHG) Emissions, namely CO2, CH4, and N2O pollutants emitted to the environment during the landing and take-off operations in the International Eskisehir Hasan Polatkan Airport (LTBY) of aircraft engines were analyzed with the help of predictive approaches. Additionally, the average jet-fuel consumptions of these aircraft were determined. Calculations were performed in point of the method of the Intergovernmental Panel on Climate Change (IPCC) and performed with the Tier-2 predictive approach. According to results, it has been obtained that the Airbus 321 (A-321) series aircraft has the highest pollution with a value of 762495 kg/y of GHG. Furthermore, it has been observed that approximately 1127710 kg/y of CO2, 48.14 kg/year of CH4, and 39.77 kg/y of N2O were released into the environment. On the other hand, the total value of jet-fuel consumption during the landing and take-off operations of these aircraft is calculated to be an average of 357500 kg/y. In this regard, it has been determined that the Boeing B767-300 series aircraft (B763) is the most inefficient type of aircraft depending on the fuel consumption by performing a correlation between the parameters of average jet-fuel consumption and total landing and take-off count.

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“…To determine and detect the environment effects of airports, there are several studies in open literature. Schürmann et al (2007) Pecorari et al (2016) focused on their study regarding the effects of meteorology on aircraft emission (NO x , HC and CO) for the Marco Polo Airport.…”

Section: Introductionmentioning

confidence: 99%

The analysis of emission values from commercial flights at Dalaman international airport Turkey

Kafalı

Altuntaş

2020

AEAT

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Purpose This study aims to present atmospheric emissions (NOx, CO and HC) of commercial flights at Dalaman Airport for the years between 2016 and 2018. Design/methodology/approach Growing up, the potential for domestic and international airports will cause an increase in air transportation. Increasing demand for air transportation will cause adverse environmental impacts as well as positive economic contributions. Finding negative environmental effects and searching for solutions is an essential first step. Findings Emissions were calculated under three different groups (as daily, number of flights and per passenger). The maximum CO emission calculated was 1031.71 kg/day in August 2018, 41.55 g/pax. in October 2016 and 6909.27 g/flight in August 2018. The maximum HC emission calculated was 117.22 kg/day in August 2018, 4.78 g/pax. in May 2018 and 796.47 g/flight in May 2018. The maximum NOx emission calculated was 148.63 kg/day in August 2018, 6.04 g/pax. in October 2017 and 995.34 g/flight in August 2018. Practical implications The current study intends to show how can emission results differ under three different units. Originality/value The originality is the using of the real-time values for all calculations. The value of this study is to be key study for future applications of emission calculation methodologies.

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Analysis of the effects of meteorology on aircraft exhaust dispersion and deposition using a Lagrangian particle model

Cited by 21 publications

References 54 publications

Source apportionment of wide range particle size spectra and black carbon collected at the airport of Venice (Italy)

Source apportionment of wide range particle size spectra and black carbon collected at the airport of Venice (Italy)

Determining of Aircraft Engine Greenhouse Gas (CO2, CH4 and N2O) Emissions from the Landing and Take-Off Operations Around the Airport Area

The analysis of emission values from commercial flights at Dalaman international airport Turkey

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