期刊
ENVIRONMENTAL POLLUTION
卷 239, 期 -, 页码 392-398出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2018.04.015
关键词
Stable isotope; Ammonium; Scavenging; Precipitation; PM2.5; TSP
资金
- National Key Research and Development Program of China [2017YFC0210101]
- National Natural Science Foundation of China [41730855, 41522301, 41603007, 41703005]
- 11th Recruitment Program of Global Experts for Young Professionals - central budget of China
- Outstanding Youth Funds of Tianjin, China [17JCJQJC45400]
Enhanced ammonia (NH3) emissions and deposition caused negative effects on air quality and ecosystems. Precipitation is an efficient pathway to remove NH3 and particulate ammonium (p-NH4+) from the atmosphere into ecosystems. However, precipitation scavenging of p-NH4+ in chemical transport models has often considered fine p-NH4+, with inadequate constraints on NH3 and coarse p-NH4+. Based on distinct delta N-15 values between NH3 and NH4+ in PM2.5 (particulate matters with aerodynamic diameters <= 2.5 mu m) or TSP (total suspended particulates), this paper interpreted intra-event variations of precipitation NH4+ concentrations and delta N-15 values (delta N-15-NH4+ values) at Guiyang (Xiao et al., 2015). Generally decreased NH4+ concentrations across rain events reflected decreasing scavenging of NH3 and p-NH4+. Using a Bayesian isotope mixing model, we found that differing contributions between N-15-depleted NH3 and N-15-enriched p-NH4+ were responsible for the three-stage variations of intra-event delta N-15-NH4+ values. The decreases of delta N-15-NH4+ values across the first and third stages indicated more decreases in scavenging p-NHZ than NH3, while the increases of delta N-15-NH4+ values across the second stage were resulted primarily from more increases in scavenging p-NH4+ (particularly fine p-NH4+) than NH3. These results stressed influences of differing scavenging between NH3 and p-NI-14- on precipitation delta N-15-NH4+ values, which should be considered in modeling precipitation scavenging of atmospheric p-NH4+. (C) 2018 Elsevier Ltd. All rights reserved.
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