Literature DB >> 34325146

Hurricane/tropical storm rainwater chemistry in the US (from 2008 to 2019).

Yixi Qiu1, Joseph David Felix2.   

Abstract

Rainwater chemistry of extreme rain events is not well characterized. This is despite an increasing trend in intensity and frequency of extreme events and the potential excess loading of elements to ecosystems that can rival annual loading. Thus, an assessment of the loading imposed by hurricane/tropical storm (H/TS) can be valuable for future resiliency strategies. Here the chemical characteristics of H/TS and normal rain (NR) in the US from 2008 to 2019 were determined from available National Atmospheric Deposition Program (NADP) data by correlating NOAA storm tracks with NADP rain collection locations. It found the average pH of H/TS (5.37) was slightly higher (p < 0.05) than that of NR (5.12). On average, H/TS events deposited 14% of rain volume during hurricane season (May to October) at affected collection sites with a maximum contribution reaching 47%. H/TS events contributed a mean of 12% of Ca2+, 22% of Mg2+, 18% of K+, 25% of Na+, 7% of NH4+, 6% of NO3-, 25% of Cl- and 11% of SO42- during hurricane season with max loading of 77%, 62%, 94%, 65%, 39%, 34%, 64% and 60%, respectively, which can lead to ecosystems exceeding ion-specific critical loads. Four potential sources (i.e., marine, soil dust, agriculture and industry/fossil fuel) were indicated by PCA. The positive matrix factorization (PMF) suggested Mg2+, Na+ and Cl- were primarily marine-originated in both event types, while 36% more sea-salt Ca2+ and 33% more sea-salt SO42- were deposited during H/TS. Agriculture and industry/fossil fuel were the main sources of NH4+ and NO3-, respectively, in both rain event types. However the NH4+ contribution from industry/fossil fuel increased by 13% during H/TS indicating a potential vehicle source associated with emergency evacuations. This work provides a comprehensive assessment of the rainwater chemistry of H/TS and insight to expected ecosystem loading for future extreme events. Published by Elsevier B.V.

Entities:  

Keywords:  Hurricane; Rainwater chemistry; Source apportionment; Tropical storm; Wet deposition

Year:  2021        PMID: 34325146     DOI: 10.1016/j.scitotenv.2021.149009

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Human Health Risk Prediction Method of Regional Atmospheric Environmental Pollution Sources Based on PMF and PCA Analysis under Artificial Intelligence Cloud Model.

Authors:  Shihui Zhang; Xinghua Sun; Naidi Liu; Jing Mi
Journal:  Int J Anal Chem       Date:  2022-06-17       Impact factor: 1.698

  1 in total

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