reference : Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease

JSON YAML text HTML Turtle N-Triples JSON Triples RDF+XML RDF+JSON Graphviz SVG
/reference/6144a649-5c20-4070-ac57-0c87261572da
Bibliographic fields
reftype Journal Article
Abstract Exposure to bioaerosol allergens such as pollen can cause exacerbations of allergenic airway disease (AAD) in sensitive populations, and thus cause serious public health problems. Assessing these health impacts by linking the airborne pollen levels, concentrations of respirable allergenic material, and human allergenic response under current and future climate conditions is a key step toward developing preventive and adaptive actions. To that end, a regional-scale pollen emission and transport modeling framework was developed that treats allergenic pollens as non-reactive tracers within the WRF/CMAQ air-quality modeling system. The Simulator of the Timing and Magnitude of Pollen Season (STaMPS) model was used to generate a daily pollen pool that can then be emitted into the atmosphere by wind. The STaMPS is driven by species-specific meteorological (temperature and/or precipitation) threshold conditions and is designed to be flexible with respect to its representation of vegetation species and plant functional types (PFTs). The hourly pollen emission flux was parameterized by considering the pollen pool, friction velocity, and wind threshold values. The dry deposition velocity of each species of pollen was estimated based on pollen grain size and density. An evaluation of the pollen modeling framework was conducted for southern California for the period from March to June 2010. This period coincided with observations by the University of Southern California's Children's Health Study (CHS), which included O3, PM2.5, and pollen count, as well as measurements of exhaled nitric oxide in study participants. Two nesting domains with horizontal resolutions of 12 km and 4 km were constructed, and six representative allergenic pollen genera were included: birch tree, walnut tree, mulberry tree, olive tree, oak tree, and brome grasses. Under the current parameterization scheme, the modeling framework tends to underestimate walnut and peak oak pollen concentrations, and tends to overestimate grass pollen concentrations. The model shows reasonable agreement with observed birch, olive, and mulberry tree pollen concentrations. Sensitivity studies suggest that the estimation of the pollen pool is a major source of uncertainty for simulated pollen concentrations. Achieving agreement between emission modeling and observed pattern of pollen releases is the key for successful pollen concentration simulations.
Author Zhang, R.; Duhl, T.; Salam, M. T.; House, J. M.; Flagan, R. C.; Avol, E. L.; Gilliland, F. D.; Guenther, A.; Chung, S. H.; Lamb, B. K.; VanReken, T. M.
DOI 10.5194/bgd-10-3977-2013
Date Mar 1
ISSN 1726-4189
Issue 3
Journal Biogeosciences
Language Eng
Notes Zhang, Rui Duhl, Tiffany Salam, Muhammad T House, James M Flagan, Richard C Avol, Edward L Gilliland, Frank D Guenther, Alex Chung, Serena H Lamb, Brian K VanReken, Timothy M P30 ES007048/ES/NIEHS NIH HHS/United States Journal article Biogeosciences. 2013 Mar 1;10(3):3977-4023.
Pages 3977-4023
Title Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease
Volume 10
Year 2013
Bibliographic identifiers
.reference_type 0
_record_number 18577
_uuid 6144a649-5c20-4070-ac57-0c87261572da