| Issue |
EPJ Web Conf.
Volume 362, 2026
31st International Laser Radar Conference (ILRC 31) Held Together with the 22nd Coherent Laser Radar Conference (CLRC 22)
|
|
|---|---|---|
| Article Number | 09024 | |
| Number of page(s) | 4 | |
| Section | Lidar Measurements of Trace Gases (including Greenhouse Gases and Water Vapour) | |
| DOI | https://doi.org/10.1051/epjconf/202636209024 | |
| Published online | 09 April 2026 | |
https://doi.org/10.1051/epjconf/202636209024
Local Source Estimation of CO2 in the Boundary Layer through DIAL Observations and Atmospheric Transport and Dispersion Calculation
Tokyo Metropolitan University, 6-6, Asahigaoka, Hino, Tokyo, Japan This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 9 April 2026
Abstract
To formulate appropriate emission reduction policies, it is important to accurately determine CO2 emissions. Especially for CO2 emissions from large emission sources and urban areas, their statistics and estimates are considered to have uncertainties, and highly accurate emissions are required. For this purpose, inversion analysis has been developed to estimate emissions by assimilating satellite data into a transport model. Since DIAL (Differential Absorption Lidar) provides spatial-temporal variations of vertical profiles, data assimilation of these profiles is expected to improve the accuracy of emission estimation. We have developed a direct-detection 1.6-μm DIAL. Since 2015, we have observed the vertical profiles of CO2 concentration during the daytime and nighttime from 0.5km up to 2.5 km in western Tokyo. In this study, as a preliminary step of quantitative emission estimation, we attempted to estimate sources satisfying the characteristic diurnal variations of vertical profiles of CO2 concentration in the boundary layer observed by DIAL using simple CO2 transport and dispersion model calculations.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

