Abstract
The dry deposition process refers to flux loss of an atmospheric pollutant due to uptake of the pollutant by the Earth’s surfaces, including vegetation, underlying soil, and any other surface types. In chemistry transport models (CTMs), the dry deposition flux of a chemical species is typically calculated as the product of its surface layer concentration and its dry deposition velocity (Vd); the latter is a variable that needs to be highly empirically parameterized due to too many meteorological, biological, and chemical factors affecting this process. The gaseous dry deposition scheme of Zhang et al. (2003) parameterizes Vd for 31 inorganic and organic gaseous species. The present study extends the scheme of Zhang et al. (2003) to include an additional 12 oxidized volatile organic compounds (oVOCs) and hydrogen cyanide (HCN), while keeping the original model structure and formulas, to meet the demand of CTMs with increasing complexity. Model parameters for these additional chemical species are empirically chosen based on their physicochemical properties, namely the effective Henry’s law constants and oxidizing capacities. Modeled Vd values are compared against field flux measurements over a mixed forest in the southeastern US during June 2013. The model captures the basic features of the diel cycles of the observed Vd. Modeled Vd values are comparable to the measurements for most of the oVOCs at night. However, modeled Vd values are mostly around 1 cm s−1 during daytime, which is much smaller than the observed daytime maxima of 2–5 cm s−1. Analysis of the individual resistance terms and uptake pathways suggests that flux divergence due to fast atmospheric chemical reactions near the canopy was likely the main cause of the large model–measurement discrepancies during daytime. The extended dry deposition scheme likely provides conservative Vd values for many oVOCs. While higher Vd values and bidirectional fluxes can be simulated by coupling key atmospheric chemical processes into the dry deposition scheme, we suggest that more experimental evidence of high oVOC Vd values at additional sites is required to confirm the broader applicability of the high values studied here. The underlying processes leading to high measured oVOC Vd values require further investigation.
Highlights
Atmospheric pollutants impact human health and can cause detrimental effects on sensitive ecosystems (Wright et al, 2018)
To take advantage of the recent flux dataset of a large number of oxidized volatile organic compounds (oVOCs) and hydrogen cyanide (HCN) collected over a temperate forest (Nguyen et al, 2015), the present study extends the Zhang et al (2003) scheme by including 12 additional oVOC species and HCN while keeping the same original model structure and theory
The analysis of the measurement data showed that the daytime averaged Vd for HNO3 and H2O2 fit the rate of deposition well without surface resistance (Vd = 1/[Ra + Rb]) (Nguyen et al, 2015), which supports the assumption of near-zero Rc for HNO3 and H2O2 over the mixed deciduous–coniferous CTR site under a humid environment
Summary
Atmospheric pollutants impact human health and can cause detrimental effects on sensitive ecosystems (Wright et al, 2018). Uptake effects by canopies, underlying soils, and any other surface types are parameterized as canopy (or surface) resistance, which includes several flux pathways such as to stomatal, cuticle, and soil. All of these flux pathways can be simultaneously affected by meteorological, biological, and chemical factors, most of which cannot be explicitly considered and are highly empirically parameterized in existing dry deposition schemes, which are known to have large uncertainties even for the most commonly studied chemical species such as O3, SO2, and more commonly measured nitrogen species with relatively rich flux datasets (Flechard et al, 2011; Wu et al, 2012, 2018)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.