Source emission and attribution of a large airport in Central China

Han, Bo; Wang, Lijie; Deng, Zhiqiang; Shi, Yaolin; Yu, Jian

doi:10.1016/j.scitotenv.2022.154519

Cited by 15 publications

(3 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Emission estimation methods for aircraft [37], road mobile sources [38], and biomass combustion [39] are significantly influenced by factors such as landing times, mileage, and burn conditions of straw, which differ from the conventional emission factor method. The estimation method is as follows:…”

Section: Calculation Methods and Data Collectionmentioning

confidence: 99%

Unveiling the Spatial-Temporal Characteristics and Driving Factors of Greenhouse Gases and Atmospheric Pollutants Emissions of Energy Consumption in Shandong Province, China

He,

Jiang,

Gao

et al. 2024

Sustainability

View full text Add to dashboard Cite

As the largest energy-consuming province in China, Shandong faces the dual task of greenhouse gas (GHG) reduction and atmospheric pollution control. Based on the latest activity data and updated emission factors, this study establishes a high-resolution emission inventory (5 km × 5 km) for GHGs and main atmospheric pollutants from the energy consumption sectors of Shandong Province from 2010 to 2021, quantifies the relationship between social economic factors and GHGs and atmospheric pollutants emissions using the expanded stochastic environmental impact assessment (STIRPAT) model, and forecasts the future emission trend with the help of the scenario analysis method. Results indicate that the electricity and transportation sectors are the main contributors to all pollutants. Spatially, the high value of pollutants is mainly concentrated in the urban agglomerations of central and eastern Shandong. Up to 72% of GHGs and 50% of air pollution emissions are attributed to the top 10% of emission grids. Emission peaks occur mainly in summer and winter due to straw burning, increased utilization of temperature-controlled facilities, and expansion of plant capacity. Population, energy consumption, the proportion of secondary industry, and energy consumption intensity are the most significant influencing factors for pollutant emissions. Scenario analysis results indicate Shandong province can reach its carbon peak in 2027 without sacrificing population growth or economic progress.

show abstract

Section: Calculation Methods and Data Collectionmentioning

confidence: 99%

Unveiling the Spatial-Temporal Characteristics and Driving Factors of Greenhouse Gases and Atmospheric Pollutants Emissions of Energy Consumption in Shandong Province, China

He,

Jiang,

Gao

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Consequently, it is of increasing magnitude to quantify PM2.5 in aviation emissions. Many scholars have done a lot of research on PM2.5 emissions from aviation, which was demonstrated that within a single airport annually 14 , noting that the total emissions of PM from Xinzheng International Airport (CGO) from aircraft and ground support equipment (GSE) were 36.2 tons and the main engines of the aircraft accounted for 74.3% of the total emissions. Others have measured the amount and proportion of PM2.5 in aviation emissions across the country 15 .…”

Section: Background and Summarymentioning

confidence: 99%

24-hour average PM2.5 concentration caused by aircraft in Chinese airports from Jan. 2006 to Dec. 2023

Cui,

Jia,

Liu

et al. 2024

Sci Data

View full text Add to dashboard Cite

Since 2006, the rapid development of China’s aviation industry has been accompanied by a significant increase in one of its emissions, namely, PM2.5, which poses a substantial threat to human health. However, little data is describing the PM2.5 concentration caused by aircraft activities. This study addresses this gap by initially computing the monthly PM2.5 emissions of the landing-take-off (LTO) stage from Jan. 2006 to Dec. 2023 for 175 Chinese airports, employing the modified BFFM2-FOA-FPM method. Subsequently, the study uses the Gaussian diffusion model to measure the 24-hour average PM2.5 concentration resulting from flight activities at each airport. This study mainly draws the following conclusions: Between 2006 and 2023, the highest recorded PM2.5 concentration data at all airports was observed in 2018, reaching 5.7985 micrograms per cubic meter, while the lowest point was recorded in 2022, at 2.0574 micrograms per cubic meter. Moreover, airports with higher emissions are predominantly located in densely populated and economically vibrant regions such as Beijing, Shanghai, Guangzhou, Chengdu, and Shenzhen.

show abstract

“…To estimate the annual emissions of HDDVs in a region, most studies are based on questionnaires [8,9] or a small amount of OBD data [10] estimates of annual activity levels. However, in our actual monitoring of 9000 vehicles, we found that some HDDVs were suspected of severe tampering, which made the actual emission data much larger than the value we estimated based on a small amount of data combined with theoretical experience.…”

Section: Introductionmentioning

confidence: 99%

Beijing Heavy-Duty Diesel Vehicle Battery Capacity Conversion and Emission Estimation in 2022

Yang

et al. 2023

Sustainability

View full text Add to dashboard Cite

Road transport is a scenario for the use of fossil fuels to a large extent, and the process of electrification can slow down this use of fossil fuels. This study analyzes the annual emissions of nitrogen oxides (NOX) and carbon dioxide (CO2) from heavy-duty diesel vehicles (HDDVs) and the feasibility of electrification in Beijing based on the on-board diagnostics (OBD) of remote monitoring data from more than 9000 HDDVs. The annual NOX and CO2 emissions of 13 industry types were 44,980.9 and 6,658,722.6 tons in 2022. The highest contributor to these NOX and CO2 emissions was concrete trucks, accounting for 27.1% and 17.0% of the 13 industry type vehicles. The electrification of concrete trucks can greatly reduce the diesel emissions in Pinggu and other districts and realize regional emission reduction management. The CO2 emission factor of passenger buses in the Pinggu district was significantly higher than that in other districts, which was 1212.4 g/km, and the electrification of passenger buses could significantly reduce the CO2 emissions in the Pinggu district. This study investigates HDDVs in Beijing, provides a scientific basis for the electrification management of key models in Beijing, and provides a regional reference for the electrification trend of HDDVs in various countries worldwide.

show abstract

Source emission and attribution of a large airport in Central China

Cited by 15 publications

References 50 publications

Unveiling the Spatial-Temporal Characteristics and Driving Factors of Greenhouse Gases and Atmospheric Pollutants Emissions of Energy Consumption in Shandong Province, China

Unveiling the Spatial-Temporal Characteristics and Driving Factors of Greenhouse Gases and Atmospheric Pollutants Emissions of Energy Consumption in Shandong Province, China

24-hour average PM2.5 concentration caused by aircraft in Chinese airports from Jan. 2006 to Dec. 2023

Beijing Heavy-Duty Diesel Vehicle Battery Capacity Conversion and Emission Estimation in 2022

Contact Info

Product

Resources

About