Inversion and analysis of aerosol optical properties and lidar ratios based on sky-radiometer and Raman lidar measurements in Xi’an, China

The aerosol observations in Xi’an (34.25°N, 108.983°E), a typical urban site in Northwest China, were conducted using a sky-radiometer from January 2015 to March 2018. Multi-year variations of aerosol optical properties (AOPs) and lidar ratios (LRs) were simultaneously analyzed and calculated. In pa...

Full description

Bibliographic Details
Main Authors: Jingjing Liu, Zhuqi Guo, Luyao Zhou, Longlong Wang, Jun Wang, Qing Yan, Dengxin Hua
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.1039559/full
_version_ 1797991862938632192
author Jingjing Liu
Zhuqi Guo
Luyao Zhou
Longlong Wang
Jun Wang
Qing Yan
Dengxin Hua
author_facet Jingjing Liu
Zhuqi Guo
Luyao Zhou
Longlong Wang
Jun Wang
Qing Yan
Dengxin Hua
author_sort Jingjing Liu
collection DOAJ
description The aerosol observations in Xi’an (34.25°N, 108.983°E), a typical urban site in Northwest China, were conducted using a sky-radiometer from January 2015 to March 2018. Multi-year variations of aerosol optical properties (AOPs) and lidar ratios (LRs) were simultaneously analyzed and calculated. In particular, LRs in 340 nm were compared and validated using the UV-Raman lidar (RL) measurements. During the study period, aerosol optical depth at 500 nm (AOD500) had significant seasonal variation, with a maximum value of 0.68 in winter and a minimum value of 0.59 in autumn. Ångström exponent (AE) exhibited different seasonal variation patterns, and the minimum (0.81) and maximum (1.06) values appeared in spring and summer, respectively. The spectral difference between AE400–675 and AE675–870 indicated that high AOD675 values (>1.0) were affected by accidental factors (e.g., dust weather in spring and winter) and the accumulation of fine particle aerosols across all seasons. The relationship between AOD500 and AE400–870 was used to distinguish different aerosol types. Overall, mixed aerosols (MX) accounted for the largest contribution (ranging from 40.14% in autumn to 69.9% in spring), followed by biomass-burning or urban/industrial aerosols (BB/UI) (with the smallest value of 19.9% in spring, and the largest value of 43.66% in winter). Single-scattering albedo (SSAs) experienced weak seasonal variation, with a minimum in winter and a maximum in spring. The seasonal aerosol volume size distributions (VSDs) generally exhibited the trimodal patterns. The particle radius (R) of less than 0.5 μm is considered as fine mode, the coarse mode is R greater than 2.5 μm, and the middle mode is located somewhere in between them. The real CRI were ∼1.41–1.43, with no significant difference among different seasons. Besides, the LRs derived by combining sky-radiometer with Mie-scattering theory changed greatly with weather from 49.95 ± 8.89 in summer to 63.95 ± 6.77 in autumn, which were validated by RL with the errors within a certain height range of less than 10%. We confirmed the feasibility of using the LR of UV band from sky-radiometer as a reference value for the Fernald or Klett method.
first_indexed 2024-04-11T08:58:56Z
format Article
id doaj.art-e9798ad78c464594ab39d06b1c17152c
institution Directory Open Access Journal
issn 2296-665X
language English
last_indexed 2024-04-11T08:58:56Z
publishDate 2022-10-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Environmental Science
spelling doaj.art-e9798ad78c464594ab39d06b1c17152c2022-12-22T04:33:01ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-10-011010.3389/fenvs.2022.10395591039559Inversion and analysis of aerosol optical properties and lidar ratios based on sky-radiometer and Raman lidar measurements in Xi’an, ChinaJingjing Liu0Zhuqi Guo1Luyao Zhou2Longlong Wang3Jun Wang4Qing Yan5Dengxin Hua6School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, ChinaSchool of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, ChinaSchool of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaSchool of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, ChinaSchool of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, ChinaSchool of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, ChinaThe aerosol observations in Xi’an (34.25°N, 108.983°E), a typical urban site in Northwest China, were conducted using a sky-radiometer from January 2015 to March 2018. Multi-year variations of aerosol optical properties (AOPs) and lidar ratios (LRs) were simultaneously analyzed and calculated. In particular, LRs in 340 nm were compared and validated using the UV-Raman lidar (RL) measurements. During the study period, aerosol optical depth at 500 nm (AOD500) had significant seasonal variation, with a maximum value of 0.68 in winter and a minimum value of 0.59 in autumn. Ångström exponent (AE) exhibited different seasonal variation patterns, and the minimum (0.81) and maximum (1.06) values appeared in spring and summer, respectively. The spectral difference between AE400–675 and AE675–870 indicated that high AOD675 values (>1.0) were affected by accidental factors (e.g., dust weather in spring and winter) and the accumulation of fine particle aerosols across all seasons. The relationship between AOD500 and AE400–870 was used to distinguish different aerosol types. Overall, mixed aerosols (MX) accounted for the largest contribution (ranging from 40.14% in autumn to 69.9% in spring), followed by biomass-burning or urban/industrial aerosols (BB/UI) (with the smallest value of 19.9% in spring, and the largest value of 43.66% in winter). Single-scattering albedo (SSAs) experienced weak seasonal variation, with a minimum in winter and a maximum in spring. The seasonal aerosol volume size distributions (VSDs) generally exhibited the trimodal patterns. The particle radius (R) of less than 0.5 μm is considered as fine mode, the coarse mode is R greater than 2.5 μm, and the middle mode is located somewhere in between them. The real CRI were ∼1.41–1.43, with no significant difference among different seasons. Besides, the LRs derived by combining sky-radiometer with Mie-scattering theory changed greatly with weather from 49.95 ± 8.89 in summer to 63.95 ± 6.77 in autumn, which were validated by RL with the errors within a certain height range of less than 10%. We confirmed the feasibility of using the LR of UV band from sky-radiometer as a reference value for the Fernald or Klett method.https://www.frontiersin.org/articles/10.3389/fenvs.2022.1039559/fullaerosol optical propertiesRaman lidarlidar ratiosky-radiometerxi’an
spellingShingle Jingjing Liu
Zhuqi Guo
Luyao Zhou
Longlong Wang
Jun Wang
Qing Yan
Dengxin Hua
Inversion and analysis of aerosol optical properties and lidar ratios based on sky-radiometer and Raman lidar measurements in Xi’an, China
Frontiers in Environmental Science
aerosol optical properties
Raman lidar
lidar ratio
sky-radiometer
xi’an
title Inversion and analysis of aerosol optical properties and lidar ratios based on sky-radiometer and Raman lidar measurements in Xi’an, China
title_full Inversion and analysis of aerosol optical properties and lidar ratios based on sky-radiometer and Raman lidar measurements in Xi’an, China
title_fullStr Inversion and analysis of aerosol optical properties and lidar ratios based on sky-radiometer and Raman lidar measurements in Xi’an, China
title_full_unstemmed Inversion and analysis of aerosol optical properties and lidar ratios based on sky-radiometer and Raman lidar measurements in Xi’an, China
title_short Inversion and analysis of aerosol optical properties and lidar ratios based on sky-radiometer and Raman lidar measurements in Xi’an, China
title_sort inversion and analysis of aerosol optical properties and lidar ratios based on sky radiometer and raman lidar measurements in xi an china
topic aerosol optical properties
Raman lidar
lidar ratio
sky-radiometer
xi’an
url https://www.frontiersin.org/articles/10.3389/fenvs.2022.1039559/full
work_keys_str_mv AT jingjingliu inversionandanalysisofaerosolopticalpropertiesandlidarratiosbasedonskyradiometerandramanlidarmeasurementsinxianchina
AT zhuqiguo inversionandanalysisofaerosolopticalpropertiesandlidarratiosbasedonskyradiometerandramanlidarmeasurementsinxianchina
AT luyaozhou inversionandanalysisofaerosolopticalpropertiesandlidarratiosbasedonskyradiometerandramanlidarmeasurementsinxianchina
AT longlongwang inversionandanalysisofaerosolopticalpropertiesandlidarratiosbasedonskyradiometerandramanlidarmeasurementsinxianchina
AT junwang inversionandanalysisofaerosolopticalpropertiesandlidarratiosbasedonskyradiometerandramanlidarmeasurementsinxianchina
AT qingyan inversionandanalysisofaerosolopticalpropertiesandlidarratiosbasedonskyradiometerandramanlidarmeasurementsinxianchina
AT dengxinhua inversionandanalysisofaerosolopticalpropertiesandlidarratiosbasedonskyradiometerandramanlidarmeasurementsinxianchina