AI Article Synopsis

  • This study analyzed the chemistry of monsoonal rainwater over the mid-Brahmaputra plain from 2012 to 2018, focusing on key chemical parameters like pH, electrical conductivity, and various ions.
  • The pH levels varied significantly across the years, with the highest in 2018 and the lowest in 2014; the analysis showed a clear trend of increasing ion concentrations over time, indicating environmental changes.
  • Various sources of pollution, including fossil fuel combustion and biomass burning, were identified as influential factors affecting rainwater chemistry, highlighting both local and regional contributions of dust and anthropogenic emissions.

Article Abstract

This work is a 7-year study of monsoonal rainwater chemistry (n = 302), over mid-Brahmaputra plain during 2012 to 2018. The samples were analyzed for major chemical parameters viz. pH, electrical conductivity (EC), and ions (SO, NO, Br, Cl, F, Mg, Ca, K, NH, Na, and Li) to assess the chemistry. The mean pH of rainwater varied among the years, which was maximum in 2018 (6.18 ± 0.72) and minimum in the year 2014 (5.39 ± 0.54), and the variations were significant at p < 0.0001. Ridgeline plots were drawn to visualize interannual variations, which revealed that Ca was the dominant cation in the early years, whereas NH prevailed in the latter years. Mann-Kendall analysis and Sen's slope statistical tests were employed, and it was found that all the ions showed positive S values indicating increasing trends. Enrichment factors (EF) of K, SO, and NO were found to be high with respect to both soil and seawater suggesting the influence of emissions from fossil fuel and biomass burning in the chemistry of rainwater. Principal component analysis (PCA) was applied to identify the sources of rain constituents, and five factors were obtained explaining crustal dust, biomass burning, fossil fuel combustion, agricultural emissions, and coal burning as possible sources. Airmass back trajectory clusters and Potential Source Contribution Function (PSCF) were computed by application of HYbrid Single-Particle Lagrangian Integrated Trajectory model to appreciate the terrestrial influence on the chemistry. The results indicated inputs from both local and regional dust and anthropogenic constituents that influenced the monsoonal rainwater chemistry over Brahmaputra Valley.

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Source
http://dx.doi.org/10.1007/s11356-021-17385-7DOI Listing

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