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Atomic Emission Spectroscopy: Overview01:20

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Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
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Implementation of Portable Emissions Measurement Systems PEMS for the Real-driving Emissions RDE Regulation in Europe
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Evaluating high-resolution aviation emissions using real-time flight data.

Yiwei Zhao1, Meiyin Zhu2, Limin Zhou3

  • 1School of Energy and Power Engineering, Beihang University, Beijing 100191, China; International Innovation Institute, Beihang University, Hangzhou 311115, China.

The Science of the Total Environment
|August 11, 2024
PubMed
Summary
This summary is machine-generated.

Accurate aviation emission assessments require Quick Access Recorder (QAR) data, not just flight projections. Sustainable Aviation Fuels (SAFs) significantly cut particulate matter and nitrogen oxides, aiding environmental impact reduction.

Keywords:
Aviation emissionFull-flight phaseHigh resolutionQuick access recorder (QAR)

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Area of Science:

  • Aviation environmental science
  • Atmospheric chemistry
  • Aerospace engineering

Background:

  • The aviation industry's growth necessitates a deeper understanding of its environmental footprint.
  • Current aviation emissions models face limitations due to insufficient real-world flight data.
  • Accurate characterization of emissions across entire flight phases is crucial for environmental assessment.

Purpose of the Study:

  • To assess aviation emission characteristics using real flight data and a high-precision model.
  • To compare emissions data derived from Quick Access Recorder (QAR) with Scheduled Flight Data (SFD) and Automatic Dependent Surveillance-Broadcast (ADS-B) projections.
  • To analyze seasonal variations in aviation emissions and the impact of Sustainable Aviation Fuels (SAFs).

Main Methods:

  • Utilized real Quick Access Recorder (QAR) data to generate four-dimensional emission data (time, longitude, latitude, altitude).
  • Employed a high-precision aviation emissions index model for detailed analysis.
  • Compared QAR-derived emissions with SFD and ADS-B projections, examining seasonal effects and SAF impacts.

Main Results:

  • Emission rankings for non-volatile particulate matter (nvPM) and nitrogen oxides (NOx) were ADS-B > SFD > QAR.
  • Carbon monoxide (CO) emissions followed SFD > ADS-B > QAR, especially during the climb-cruise-descent (CCD) cycle.
  • Significant seasonal variations in aviation pollutant emissions were observed in airport and high-altitude areas.
  • Four types of Sustainable Aviation Fuels (SAFs) demonstrated substantial reductions in nvPM mass and number.

Conclusions:

  • Quick Access Recorder (QAR) data provides a more accurate basis for assessing aviation emissions compared to SFD and ADS-B projections.
  • Sustainable Aviation Fuels (SAFs) offer a viable pathway to significantly reduce key aviation emissions.
  • Further utilization of QAR data is recommended to refine the environmental impact assessments of aviation.