Application of the Wind Erosion Prediction System in the AIRPACT regional air quality modeling framework

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dc.contributor.author Chung, S. H.
dc.contributor.author Herron-Thorpe, F. L.
dc.contributor.author Lamb, B. K.
dc.contributor.author VanReken, T. M.
dc.contributor.author Vaughan, J. K.
dc.contributor.author Gao, Jincheng
dc.contributor.author Wagner, Larry E.
dc.contributor.author Fox, Fred
dc.date.accessioned 2013-07-16T19:10:33Z
dc.date.available 2013-07-16T19:10:33Z
dc.date.issued 2013-07-16
dc.identifier.uri http://hdl.handle.net/2097/15982
dc.description.abstract Wind erosion of soil is a major concern of the agricultural community, as it removes the most fertile part of the soil and thus degrades soil productivity. Furthermore, dust emissions due to wind erosion degrade air quality, reduce visibility, and cause perturbations to regional radiation budgets. PM[subscript 10] emitted from the soil surface can travel hundreds of kilometers downwind before being deposited back to the surface. Thus, it is necessary to address agricultural air pollutant sources within a regional air quality modeling system in order to forecast regional dust storms and to understand the impact of agricultural activities and land-management practices on air quality in a changing climate. The Wind Erosion Prediction System (WEPS) is a new tool in regional air quality modeling for simulating erosion from agricultural fields. WEPS represents a significant improvement, in comparison to existing empirical windblown dust modeling algorithms used for air quality simulations, by using a more process-based modeling approach. This is in contrast with the empirical approaches used in previous models, which could only be used reliably when soil, surface, and ambient conditions are similar to those from which the parameterizations were derived. WEPS was originally intended for soil conservation applications and designed to simulate conditions of a single field over multiple years. In this work, we used the EROSION submodel from WEPS as a PM[subscript 10] emission module for regional modeling by extending it to cover a large region divided into Euclidean grid cells. The new PM[subscript 10] emission module was then employed within a regional weather and chemical transport modeling framework commonly used for comprehensive simulations of a wide range of pollutants to evaluate overall air quality conditions. This framework employs the Weather Research and Forecasting (WRF) weather model along with the Community Multi-scale Air Quality (CMAQ) model to treat ozone, particulate matter, and other air pollutants. To demonstrate the capabilities of the WRF/EROSION/CMAQ dust modeling framework, we present here results from simulations of dust storms that occurred in central and eastern Washington during 4 October 2009 and 26 August 2010. Comparison of model results with observations indicates that the modeling framework performs well in predicting the onset and timing of the dust storms and the spatial extent of their dust plumes. The regional dust modeling framework is able to predict elevated PM[subscript 10] concentrations hundreds of kilometers downwind of erosion source regions associated with the windblown dust, although the magnitude of the PM[subscript 10] concentrations are extremely sensitive to the assumption of surface soil moisture and model wind speeds. Future work will include incorporating the full WEPS model into the regional modeling framework and targeting field measurements to evaluate the modeling framework more extensively. en_US
dc.language.iso en_US en_US
dc.relation.uri http://elibrary.asabe.org/azdez.asp?JID=3&AID=42674&CID=t2013&v=56&i=2&T=1&redirType= en_US
dc.rights © 2013 American Society of Agricultural and Biological Engineers en_US
dc.subject Air quality en_US
dc.subject GIS en_US
dc.subject PM[subscript 10] en_US
dc.subject PM10 en_US
dc.subject Regional modeling en_US
dc.subject Wind erosion en_US
dc.title Application of the Wind Erosion Prediction System in the AIRPACT regional air quality modeling framework en_US
dc.type Article (publisher version) en_US
dc.date.published 2013 en_US
dc.citation.epage 641 en_US
dc.citation.issue 2 en_US
dc.citation.jtitle Transactions of the ASABE en_US
dc.citation.spage 625 en_US
dc.citation.volume 56 en_US
dc.contributor.authoreid jcgao en_US
dc.contributor.authoreid wagner en_US


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