Inverse Estimate of Air Pollutant Emissions with Multi-wavelength Mie-Raman Lidar Observations

• Yumimoto Keiya

  Research Institute for Applied Mechanics, Kyushu University

• Uno Itsushi

  Research Institute for Applied Mechanics, Kyushu University

• Nishizawa Tomoaki

  National Institute for Environmental Studies

• Wang Zhe

  Research Institute for Applied Mechanics, Kyushu University

• Hara Yukari

  Research Institute for Applied Mechanics, Kyushu University

• Shimizu Atsushi

  National Institute for Environmental Studies

• Sugimoto Nobuo

  National Institute for Environmental Studies

• Matsui Ichiro

  National Institute for Environmental Studies

Bibliographic Information

Other Title

• 多波長ミー・ラマンライダー観測システムを用いた大気汚染排出量の最適化

Abstract

An inverse modeling system for air pollutant emissions (SO2, NO_X, and NH3) was developed with a Multi-wavelength Mie-Raman Lidar (MMRL), the GEOS-Chem chemical transport model (CTM), and Green’s functions method. MMRL, an improved two-wavelength polarization Mie-scattering Lidar by adding a nitrogen Raman Scatter measurement channel, can provide vertical profiles of seven aerosol optical properties (extinction coefficients (α) at 355 and 532 nm; backscatter coefficient (β) at 355, 532, and 1064 nm; depolarization ratio (δ) at 355 and 532 nm) and are operated at three sites in Japan. To use aerosol vertical profiles from MMRL measurements as observational constraint of the inverse modeling, we developed a Lidar simulator that converts CTM outputs (i.e., aerosol mass concentrations) into the seven aerosol optical properties and allows direct comparison with MMRL measurements. The feasibility and capability of the developed system was demonstrated in an inversion experiment in which we used extinction coefficient at 532 nm from MMRL at Fukuoka in 2015. The inverse experiment shows reduced emissions over China compared with 2010 reflecting recent reductions of Chinese SO2 and NOx emissions. Aerosol optical depth (AOD) derived from a posteriori emission exhibit a decreasing trend over not only China but also the downwind regions (e.g., Japan). This is consistent with AOD provided by the Japanese Aerosol reanalysis.

Journal

• 九州大学応用力学研究所所報

  九州大学応用力学研究所所報 154 18-25, 2018-03

  Research Institute for Applied Mechanics, Kyushu University

Keywords

• Inverse estimate
• Green’s function method
• Chemical Transport Model
• Tagged tracer

Details

• CRID: 1390009224764989952
• NII Article ID: 120006466425
• NII Book ID: AA11459359
• DOI: 10.15017/1929736
• HANDLE: 2324/1929736
• ISSN: 13455664
• Text Lang: ja
• Data Source:
  • JaLC
  • IRDB
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Allowed