Civil Aircraft Emissions Study and Pollutant Forecasting at a Brazilian Airport

Pamplona, Daniel Alberto; Alves, Cláudio Jorge Pinto

doi:10.48084/etasr.3227

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…A study suggested that the impact of aviation-induced emissions on air pollution and human health is closely related to population growth and increased air traffic (Pamplona and Alves, 2020). Calculating the emissions from the domestic flights at Salvador Airport in Brazil within the LTO cycles framework, it was estimated that the impact of aircraft-driven emissions on air pollution and human health would be higher in the region where airports are located.…”

Section: The Preceding Studiesmentioning

confidence: 99%

Determining the effect of air transportation on air pollution in the most polluted city in Turkey

GÜRÇAM

Konuralp

Ekici

2021

AEAT

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Purpose This study was carried out in Igdir, where Turkey’s urban air pollution is at the highest level, and the population is among the smallest. Thus, the study aims to determine the effect of air transportation on air pollution in the most polluted city in Turkey. Design/methodology/approach The approach includes six stages: choosing the airport, accessing the flight information for the airport, classifying the aircraft that operated at the airport, determining the aircraft engines, calculating the emission amounts, calculating the landing and takeoff-based emissions. Findings Rather than devoting the resources disproportionally to the aviation sector within the scope of economic globalization, as a policy recommendation, to realize its production potential, Igdir, which has a great agricultural production capacity, considering its microclimate, fertile soil and arable land, should be urgently integrated into neighboring markets and the national market via railways. Practical implications It is inferred from the research that Turkey has to consider implementing the emissions tax policy, while the Turkish aviation sector is to realize new regulations for aircraft-engine matching to take public health and the impacts of the airports on their surroundings into consideration more seriously. Originality/value This study is an original one, as it puts the increasing pollution caused by the aircraft into a historical and political-economic perspective. Also, it is an example of an interdisciplinary work that combines environmental science and political science.

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Section: The Preceding Studiesmentioning

confidence: 99%

Determining the effect of air transportation on air pollution in the most polluted city in Turkey

GÜRÇAM

Konuralp

Ekici

2021

AEAT

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“…The results showed that auto-regressive and Seasonal Auto-Regressive Integrated Moving Average (SARIMA) outperformed deep-learning methods on a limited dataset in Kolkata, India. In [18], a predictive model for pollutant emissions was presented for an airport, based on the number of takeoff and landing cycles. In [19], various shallow, deep, and hybrid learning models were reviewed to determine their advantages and limitations.…”

Section: Introductionmentioning

confidence: 99%

Assessing Real-Time Health Impacts of outdoor Air Pollution through IoT Integration

Mullangi,

Madan Kumar,

Nirmala

et al. 2024

Eng. Technol. Appl. Sci. Res.

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Air pollution constitutes a significant global challenge in both public health and the environment, particularly for countries undergoing industrialization and transitioning from low- to middle-income economies. This study aims to investigate the feasibility and effectiveness of a real-time air quality prediction system based on data collected from Internet of Things (IoT) sensors to help people and public institutions track and manage atmospheric pollution. The primary objective of this study was to investigate whether an IoT-based approach can provide accurate and continuous real-time air quality forecasting. The standard dataset provided by the Indian government was analyzed using regression, traditional Long-Short-Term Memory (LTSM), and bidirectional LSTM (BLSTM) models to evaluate their performance on multivariate air quality features. The results show that the proposed BLSTM model outperformed the other models in minimizing RMSE errors and avoiding overfitting.

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“…Acharya et al [21] considered three emission sources, namely, aircraft engines, ground support equipment, and helicopters, and established a quantitative model of airport carbon emissions and passenger numbers to predict short-term airport carbon emissions. Pamplona et al [22] proposed an econometric model of airport carbon emissions and passenger numbers for airport aircraft engines to predict short-term airport carbon emissions. Based on the aircraft engine carbon emission calculation model proposed by the International Civil Aviation Organization (ICAO), Hu et al [23] predicted the medium-and long-term carbon emission development of aircraft engines in an airport under different emission reduction measures.…”

Section: Introductionmentioning

confidence: 99%

Medium- and Long-Term Prediction of Airport Carbon Emissions under Uncertain Conditions Based on the LEAP Model

Ye,

Wan,

Wang

et al. 2023

Sustainability

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As important nodes in the air transport system, it is of great significance for airports to achieve the carbon-peaking goal before 2030 under the target of peaking carbon emissions in China’s civil aviation industry. However, it remains unknown whether airports will be able to realize this ambitious goal due to a variety of uncertain factors, such as the social economy, epidemic impact, and emission reduction measures. According to the possibilities of uncertain factors, 12 uncertain scenarios were constructed. Using the case of Guangzhou Baiyun International Airport (CAN), this study predicted medium- and long-term carbon emission trends under 12 uncertain scenarios based on the Long-range Energy Alternatives Planning System (LEAP) model. Furthermore, the effects of carbon abatement measures and emission reduction responsibilities were analyzed. The results show that CAN cannot guarantee that it will realize the goal under the established abatement policy. If socioeconomic development is rapid, carbon emissions will peak at about 90 kt tons in 2030, and if socioeconomic development is slow, it will plateau at about 1 million tons between 2030 and 2035. What is more, airlines bear the greatest responsibility for reducing emissions, and technological progress measures have the highest abatement potential. This study provides decision support for airport stakeholders in abatement work so as to ensure that airports can achieve the carbon-peaking goal.

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Civil Aircraft Emissions Study and Pollutant Forecasting at a Brazilian Airport

Cited by 9 publications

References 21 publications

Determining the effect of air transportation on air pollution in the most polluted city in Turkey

Determining the effect of air transportation on air pollution in the most polluted city in Turkey

Assessing Real-Time Health Impacts of outdoor Air Pollution through IoT Integration

Medium- and Long-Term Prediction of Airport Carbon Emissions under Uncertain Conditions Based on the LEAP Model

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