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Related Concept Videos

Mass Spectrum01:23

Mass Spectrum

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A mass spectrum is the graphical representation of the relative abundance of the charged fragments in an analyte plotted against their mass-to-charge ratio (m/z). The plot's x-axis represents the ratio of the mass of the charged fragment to the number of charges it carries. The y axis of the plot represents the relative abundance of each charged species. The relative abundance is calculated from the signal intensity of each charged species recorded at the detector. The most intense signal (the...
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Measuring Dissolved Methane in Aquatic Ecosystems Using An Optical Spectroscopy Gas Analyzer
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Published on: July 26, 2024

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Cavity Ring-Down Methane Sensor for Small Unmanned Aerial Systems.

Benjamin Martinez1, Thomas W Miller2, Azer P Yalin1

  • 1Department of Mechanical Engineering, Colorado State University, Fort Collins, CO 80525, USA.

Sensors (Basel, Switzerland)
|January 18, 2020
PubMed
Summary

A new, lightweight methane sensor using cavity ring-down spectroscopy (CRDS) was developed for small unmanned aerial systems (sUAS). This open-path sensor achieves high precision methane detection, enabling emissions monitoring from natural gas infrastructure.

Keywords:
cavity ring-down spectroscopydronelandfilllaser absorptionmethanenatural gasoil and gassmall unmanned aerial systemspectroscopyunmanned aerial vehicle

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Aerospace Engineering

Background:

  • Methane emissions monitoring is crucial for natural gas infrastructure.
  • Existing methods for methane detection may lack portability or sensitivity for sUAS deployment.
  • Open-path sensing offers advantages in size and power consumption for aerial applications.

Purpose of the Study:

  • To develop and test an open-path cavity ring-down spectroscopy (CRDS) methane sensor for integration with small unmanned aerial systems (sUAS).
  • To evaluate the sensor's performance, including sensitivity and precision, under actual flight conditions.
  • To demonstrate the utility of the sUAS-mounted sensor for detecting and quantifying methane emissions.

Main Methods:

  • Development of a low-mass (4 kg), low-power (12 W) open-path CRDS instrument utilizing a 1651 nm laser and a high-finesse cavity.
  • Integration and flight testing of the CRDS sensor on a DJI Matrice 600 hexacopter sUAS.
  • Calibration and validation using a controlled release setup to simulate point-source methane emissions.

Main Results:

  • The CRDS sensor demonstrated high sensitivity, achieving methane detection precision of approximately 10-30 ppb under flight conditions.
  • Successful detection of methane plumes from simulated point sources with mass flow rates as low as ~0.005 g/s.
  • The instrument's low mass and power requirements facilitate seamless integration with sUAS (<25 kg all-up mass).

Conclusions:

  • The developed open-path CRDS sensor is the first of its kind deployed directly onboard an sUAS.
  • The sUAS-based methane detection system offers a valuable tool for emissions monitoring and quantification in the natural gas sector.
  • This technology enables more efficient and targeted assessment of methane leaks from infrastructure.