Bo Han
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Bo Han has a total of 40 co-authors. Here are the top co-authors by number of shared publications:
Jian Yu
Research Centre for Environment and Sustainable Development of Civil Aviation of China, Civil Aviation University of China, Tianjin 300300, China; Civil Aviation Management Institute of China, Beijing 100102, China
5 shared publicationsJingbo Zhao
School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China; Research Centre for Environment and Sustainable Development of Civil Aviation of China, Civil Aviation University of China, Tianjin 300300, China
2 shared publicationsSimeng Ma
School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China; Research Centre for Environment and Sustainable Development of Civil Aviation of China, Civil Aviation University of China, Tianjin 300300, China
2 shared publicationsWenhui Zheng
Research Centre for Environment and Sustainable Development of Civil Aviation of China, Civil Aviation University of China, Tianjin 300300, China; College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China
2 shared publicationsZhiqiang Deng
Research Centre for Environment and Sustainable Development of Civil Aviation of China, Civil Aviation University of China, Tianjin 300300, China; Nanhu Research Institute for Future Transportation, Jiaxing 314051, China
2 shared publicationsBaoshuang Liu
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, China
1 shared publication
Latest Publications
- Open Access
- 26 August 2026
- Published by MDPI AG in Mathematics
- Vol. 14 (17) , 3067
Aircraft Takeoff Mass Estimation Method Based on Historical Flight Parameters in the Stable Climb Segments
Aircraft mass is a fundamental input for aircraft performance calculations, and estimation errors may degrade trajectory-prediction accuracy and affect operational safety. To improve the reliability of aircraft mass estimation, this study proposes a takeoff mass estimation method based on flight parameters from stable climb segments. First, the phase characteristics of Quick Access Recorder (QAR) data are analyzed, and a sliding-window-based screening method is developed to identify stable climb segments. A takeoff mass estimation model is then established using the Total Energy Model (TEM), and an improved differential evolution algorithm is designed to solve the resulting nonlinear optimization problem through iterative search. Validation using historical A320 flight data shows that the proposed method produces takeoff mass estimates with relatively small discrepancies from the QAR-recorded reference values. Batch experiments involving A320 and B737 flights further show that the DE algorithm achieves absolute percentage errors of 1.64% and 2.60%, respectively. These results demonstrate the applicability of the proposed method to the two aircraft types considered in this study and indicate its potential to support aircraft performance monitoring and trajectory prediction.
- 26 August 2026
- Published by MDPI AG in Mathematics
- Vol. 14 (17) , 3067
Open AccessAircraft Takeoff Mass Estimation Method Based on Historical Flight Parameters in the Stable Climb Segments
Aircraft mass is a fundamental input for aircraft performance calculations, and estimation errors may degrade trajectory-prediction accuracy and affect operational safety. To improve the reliability of aircraft mass estimation, this study proposes a takeoff mass estimation method based on flight parameters from stable climb segments. First, the phase characteristics of Quick Access Recorder (QAR) data are analyzed, and a sliding-window-based screening method is developed to identify stable climb segments. A takeoff mass estimation model is then established using the Total Energy Model (TEM), and an improved differential evolution algorithm is designed to solve the resulting nonlinear optimization problem through iterative search. Validation using historical A320 flight data shows that the proposed method produces takeoff mass estimates with relatively small discrepancies from the QAR-recorded reference values. Batch experiments involving A320 and B737 flights further show that the DE algorithm achieves absolute percentage errors of 1.64% and 2.60%, respectively. These results demonstrate the applicability of the proposed method to the two aircraft types considered in this study and indicate its potential to support aircraft performance monitoring and trajectory prediction.
- 10 February 2025
- Published by Elsevier in Environmental Pollution
- Vol. 369, 125838
Drivers of civil aviation emissions in China: Considering spatial heterogeneity and interdependence
- 10 February 2025
- Published by Elsevier in Environmental Pollution
- Vol. 369, 125838
Drivers of civil aviation emissions in China: Considering spatial heterogeneity and interdependence
- Open Access
Characterizing Aircraft Exhaust Emissions and Impact Factors at Tianjin Binhai International Airport via Open-Path Fourier-Transform Infrared Spectrometer
The growth of the civil aviation industry has raised concerns about the impact of airport emissions on human health and the environment. The aim of this study was to quantify the emissions of sulfur dioxide (SO2), nitrogen oxides (NOX), and carbon monoxide (CO) from in-service aircraft via open-path Fourier-transform infrared (OP-FTIR) spectroscopy at Tianjin Binhai International Airport. The results suggest that the CO and NOX emission indices (EIs) for five common aircraft/engine combinations exhibited substantial discrepancies from those reported in the International Civil Aviation Organization (ICAO) databank. Notably, during the idling, approach, and take-off phases, the CO EIs exceeded the ICAO’s standard values by (11.04 ± 10.34)%, (56.37 ± 18.54)%, and roughly 2–5 times, respectively. By contrast, the NOX EIs were below the standard values by (39.15 ± 5.80)%, (13.57 ± 3.67)%, and (21.22 ± 4.03)% in the same phases, respectively. The CO and NOX EIs increased by 31–41% and decreased by 23–24%, respectively, as the ambient temperature decreased from −3 °C to −13 °C. This was attributed to lower temperatures reducing fuel evaporation, leading to inefficient combustion and increased CO emissions and lowering the combustion temperature and pressure, resulting in reduced NOX emissions. The CO EIs had a positive correlation with humidity (adjusted R2: 0.715–0.837), while the NOX EIs were negatively correlated with humidity (adjusted R2: 0.758–0.859). This study’s findings indicate that humidity is a crucial factor impacting aircraft exhaust emissions. Overall, this research will contribute to the development of scientifically informed emission standards and enhanced environmental management practices in the aviation sector.
Open AccessCharacterizing Aircraft Exhaust Emissions and Impact Factors at Tianjin Binhai International Airport via Open-Path Fourier-Transform Infrared Spectrometer
The growth of the civil aviation industry has raised concerns about the impact of airport emissions on human health and the environment. The aim of this study was to quantify the emissions of sulfur dioxide (SO2), nitrogen oxides (NOX), and carbon monoxide (CO) from in-service aircraft via open-path Fourier-transform infrared (OP-FTIR) spectroscopy at Tianjin Binhai International Airport. The results suggest that the CO and NOX emission indices (EIs) for five common aircraft/engine combinations exhibited substantial discrepancies from those reported in the International Civil Aviation Organization (ICAO) databank. Notably, during the idling, approach, and take-off phases, the CO EIs exceeded the ICAO’s standard values by (11.04 ± 10.34)%, (56.37 ± 18.54)%, and roughly 2–5 times, respectively. By contrast, the NOX EIs were below the standard values by (39.15 ± 5.80)%, (13.57 ± 3.67)%, and (21.22 ± 4.03)% in the same phases, respectively. The CO and NOX EIs increased by 31–41% and decreased by 23–24%, respectively, as the ambient temperature decreased from −3 °C to −13 °C. This was attributed to lower temperatures reducing fuel evaporation, leading to inefficient combustion and increased CO emissions and lowering the combustion temperature and pressure, resulting in reduced NOX emissions. The CO EIs had a positive correlation with humidity (adjusted R2: 0.715–0.837), while the NOX EIs were negatively correlated with humidity (adjusted R2: 0.758–0.859). This study’s findings indicate that humidity is a crucial factor impacting aircraft exhaust emissions. Overall, this research will contribute to the development of scientifically informed emission standards and enhanced environmental management practices in the aviation sector.
- Open Access
- 23 September 2024
- Published by Frontiers Media SA in Frontiers in Chemistry
- Vol. 12, 1478273
Progress in antibacterial applications of nanozymes
Bacterial infections are a growing problem, and antibiotic drugs can be widely used to fight bacterial infections. However, the overuse of antibiotics and the evolution of bacteria have led to the emergence of drug-resistant bacteria, severely reducing the effectiveness of treatment. Therefore, it is very important to develop new effective antibacterial strategies to fight multi-drug resistant bacteria. Nanozyme is a kind of enzyme-like catalytic nanomaterials with unique physical and chemical properties, high stability, structural diversity, adjustable catalytic activity, low cost, easy storage and so on. In addition, nanozymes also have excellent broad-spectrum antibacterial properties and good biocompatibility, showing broad application prospects in the field of antibacterial. In this paper, we reviewed the research progress of antibacterial application of nanozymes. At first, the antibacterial mechanism of nanozymes was summarized, and then the application of nanozymes in antibacterial was introduced. Finally, the challenges of the application of antibacterial nanozymes were discussed, and the development prospect of antibacterial nanozymes was clarified.
- 23 September 2024
- Published by Frontiers Media SA in Frontiers in Chemistry
- Vol. 12, 1478273
Open AccessProgress in antibacterial applications of nanozymes
Bacterial infections are a growing problem, and antibiotic drugs can be widely used to fight bacterial infections. However, the overuse of antibiotics and the evolution of bacteria have led to the emergence of drug-resistant bacteria, severely reducing the effectiveness of treatment. Therefore, it is very important to develop new effective antibacterial strategies to fight multi-drug resistant bacteria. Nanozyme is a kind of enzyme-like catalytic nanomaterials with unique physical and chemical properties, high stability, structural diversity, adjustable catalytic activity, low cost, easy storage and so on. In addition, nanozymes also have excellent broad-spectrum antibacterial properties and good biocompatibility, showing broad application prospects in the field of antibacterial. In this paper, we reviewed the research progress of antibacterial application of nanozymes. At first, the antibacterial mechanism of nanozymes was summarized, and then the application of nanozymes in antibacterial was introduced. Finally, the challenges of the application of antibacterial nanozymes were discussed, and the development prospect of antibacterial nanozymes was clarified.
- 22 August 2024
- Published by Elsevier in Science of The Total Environment
- Vol. 951, 175558
Exploring emission spatiotemporal pattern and potential reduction capacity in China's aviation sector: Flight trajectory optimization perspective
- 22 August 2024
- Published by Elsevier in Science of The Total Environment
- Vol. 951, 175558
Exploring emission spatiotemporal pattern and potential reduction capacity in China's aviation sector: Flight trajectory optimization perspective
- Open Access
- 1 January 2023
- Published by Springer Nature in Aerosol and Air Quality Research
- Vol. 23 (6) , 220357
Impacts of PM on Indoor Air Quality of Airport Terminal Buildings in a Core City of North China Plain
With the economic growth and globalization, a great deal of airports are being or planned to be constructed or retrofitted in China. The air quality in airport terminal buildings has not been studied as in-depth as airport ambient air quality. Due to its unique architectural and operational characteristics, the airport terminal buildings have individual performance of indoor air quality. The contribution of outdoor particulate matter (PM) to indoor environment and passengers’ exposure to indoor PM is not well understood. The indoor (i.e., terminal buildings) and outdoor PM concentrations with particle sizes from 0.25 to 32 μm of Tianjin Binhai International Airport (IATA: TSN) were monitored continuously during two cases in winter and summer 2020. Higher indoor PM concentrations occurred in winter as well as in the arrival halls of TSN. During winter case, the indoor sources contributed more to the indoor environment than the outdoor sources, whereas the opposite was found during summer case. Sharp variation of indoor PM number concentrations existed in particles within the range of 0.25–0.40 μm in size, with a peak number concentration at particle size of about 0.30 μm. PM with smaller particle sizes were more likely to enter the indoor environment from outdoor. The comprehensive exposure in the TSN terminal buildings was higher than those in the transportation microenvironments, residences and other buildings. Significant diurnal variations of Respiratory deposition dose (RDD) were observed under various exposure durations. Our results highlight the need for further monitoring and improving the air quality in the terminal buildings.
- 1 January 2023
- Published by Springer Nature in Aerosol and Air Quality Research
- Vol. 23 (6) , 220357
Open AccessImpacts of PM on Indoor Air Quality of Airport Terminal Buildings in a Core City of North China Plain
With the economic growth and globalization, a great deal of airports are being or planned to be constructed or retrofitted in China. The air quality in airport terminal buildings has not been studied as in-depth as airport ambient air quality. Due to its unique architectural and operational characteristics, the airport terminal buildings have individual performance of indoor air quality. The contribution of outdoor particulate matter (PM) to indoor environment and passengers’ exposure to indoor PM is not well understood. The indoor (i.e., terminal buildings) and outdoor PM concentrations with particle sizes from 0.25 to 32 μm of Tianjin Binhai International Airport (IATA: TSN) were monitored continuously during two cases in winter and summer 2020. Higher indoor PM concentrations occurred in winter as well as in the arrival halls of TSN. During winter case, the indoor sources contributed more to the indoor environment than the outdoor sources, whereas the opposite was found during summer case. Sharp variation of indoor PM number concentrations existed in particles within the range of 0.25–0.40 μm in size, with a peak number concentration at particle size of about 0.30 μm. PM with smaller particle sizes were more likely to enter the indoor environment from outdoor. The comprehensive exposure in the TSN terminal buildings was higher than those in the transportation microenvironments, residences and other buildings. Significant diurnal variations of Respiratory deposition dose (RDD) were observed under various exposure durations. Our results highlight the need for further monitoring and improving the air quality in the terminal buildings.
- 17 August 2022
- Published by Elsevier in Environmental Research
- Vol. 214 (Pt 4) , 114117
Marginal reduction in surface NO2 attributable to airport shutdown: A machine learning regression-based approach
- 17 August 2022
- Published by Elsevier in Environmental Research
- Vol. 214 (Pt 4) , 114117
Marginal reduction in surface NO2 attributable to airport shutdown: A machine learning regression-based approach
- 12 March 2022
- Published by Elsevier in Science of The Total Environment
- Vol. 829, 154519
Source emission and attribution of a large airport in Central China
- 12 March 2022
- Published by Elsevier in Science of The Total Environment
- Vol. 829, 154519
Source emission and attribution of a large airport in Central China