Chemical characteristics of soluble aerosols over the central Himalayas: insights into spatiotemporal variations and sources

Abstract

In order to investigate the spatial and temporal variations of aerosols and its soluble chemical compositions of the data gap zone in the central Himalayan region, aerosol samples were collected at four sites. The sampling location were characterized by four different categories, such as urban (Bode), semi-urban site in the northern Indo-Gangetic Plain (Lumbini), rural (Dhunche), and semiarid rural (Jomsom). A total of 230 aerosol samples were collected from four representative sites for a yearlong period and analyzed for water-soluble inorganic ions (WSIIs). The annual average aerosol mass concentration followed the sequence as Bode (238.24 ± 162.24 μg/m³)> Lumbini (161.14 ± 105.95 μg/m³)> Dhunche (112.40 ± 40.30 μg/m³)> Jomsom (78.85 ± 34.28 μg/m³), suggesting heavier particulate pollution in the urban and semi-urban sites. The total soluble ions contributed to 12.61–28.19% of TSP aerosol mass. The results revealed that SO₄²⁻ and NO₃⁻ were the major anion and Ca²⁺ and NH₄⁺ were the major cation influencing the aerosol composition over the central Himalayas. Calcium played a major role in neutralizing aerosol acidity followed by NH₄⁺ at all the sites. The major compound of aerosol was (NH₄)₂SO₄ and NH₄HSO₄ in the central Himalayas. Clear seasonality was observed at three observation sites, with higher concentrations during non-monsoon (dry periods) and lower during monsoon (wet period), suggesting washing out of aerosol particles by heavy precipitation during monsoon. In contrast, semiarid sites did not show the clear seasonal trend due to limited precipitation. Stationary sources were predominant over the mobile sources mostly in the remote sites. Principal component analysis confirmed that the major sources of WSIIs in the region were industrial emissions, fossil fuel and biomass burning, and crustal fugitive dusts. Nevertheless, transboundary aerosol transport over the region from polluted cities from south Asia could not be ignored as indicated by the clusters of air mass backward trajectory analysis.

http://ift.tt/2wW90fR