Vertical Distribution of Water Vapor During Haze Processes in Northeast China Based on Raman Lidar Measurements

• Published in: Remote sensing (Basel, Switzerland) Vol. 16; no. 19; p. 3713
• Main Authors: Zhang, Tianpei, Yin, Zhenping, Wei, Yubin, Dai, Yaru, Wang, Longlong, Dong, Xiangyu, Gao, Yuan, Wei, Lude, Zhang, Qixiong, Hu, Di, Zhou, Yifan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2024
• Subjects: Aerosols; Air pollution; Altitude; Analysis; Atmosphere; Atmospheric boundary layer; Atmospheric water; Boundary layer stability; Boundary layers; Diffusion layers; Emissions; Haze; Humidity; Injection molding; Inversion layers; Lasers; LiDAR; Low visibility; Meteorological research; Mixing ratio; Molecular weight; Nitrogen; Optical radar; Outdoor air quality; Particulate emissions; Particulate matter; Planetary boundary layer; Pollutants; Pollution; relative humidity; Remote sensing; Statistical analysis; Temperature; Topography; Variation; Vertical distribution; Visibility; Water; Water stratification; Water vapor; water vapor mixing ratio; Weather; Weather forecasting; Winter; China
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs16193713

Haze refers to an atmospheric phenomenon with extremely low visibility, which has significant impacts on human health and safety. Water vapor alters the scattering properties of atmospheric particulate matter, thus affecting visibility. A comprehensive analysis of the role of water vapor in haze formation is of great scientific significance for forecasting severe pollution weather events. This study investigates the distribution characteristics and variations of water vapor during haze weather in Changchun City (44°N, 125.5°E) in autumn and winter seasons, aiming to reveal the relationship between haze and atmospheric water vapor content. Analysis of observational results for a period of two months (October to November 2023) from a three-wavelength Raman lidar deployed at the site reveals that atmospheric water vapor content is mainly concentrated below 5 km, accounting for 64% to 99% of the total water vapor below 10 km. Furthermore, water vapor content in air pollution exhibits distinct stratification characteristics with altitude, especially within the height range of 1–3 km, where significant water vapor variation layers exist, showing spatial consistency with inversion layers. Statistical analysis of haze events at the site indicates a high correlation between the concentration variations of PM2.5 and PM10 and the variations in average water vapor mixing ratio (WVMR). During haze episodes, the average WVMR within 3 km altitude is 3–4 times higher than that during clear weather. Analysis of spatiotemporal height maps of aerosols and water vapor during a typical haze event suggests that the relative stability of the atmospheric boundary layer may hinder the vertical transport and diffusion of aerosols. This, in turn, could lead to a sharp increase in aerosol extinction coefficients through hygroscopic growth, thereby possibly exacerbating haze processes. These observational findings indicate that water vapor might play a significant role in haze formation, emphasizing the potential importance of observing the vertical distribution of water vapor for better simulation and prediction of haze events.