DOI: 10.1016/j.atmosenv.2014.11.056
Scopus记录号: 2-s2.0-84914145433
论文题名: Suitability and uncertainty of two models for the simulation of ammonia dispersion from a pig farm located in an area with frequent calm conditions
作者: Theobald M ; R ; , Sanz-Cobena A ; , Vallejo A ; , Sutton M ; A
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 102 起始页码: 167
结束页码: 175
语种: 英语
英文关键词: Ammonia emissions
; Atmospheric dispersion modelling
; Uncertainty analysis
Scopus关键词: Ammonia
; Computer simulation
; Wind
; Ammonia emissions
; Atmospheric concentration
; Atmospheric dispersion modelling
; Atmospheric dispersion models
; Constant-emissions
; Meteorological condition
; Prediction uncertainty
; Range dispersion
; Uncertainty analysis
; ammonia
; agricultural emission
; ammonia
; atmospheric modeling
; atmospheric pollution
; dispersion
; livestock farming
; pig
; uncertainty analysis
; air temperature
; Article
; atmospheric dispersion
; meteorology
; nonhuman
; pig farming
; prediction
; simulation
; velocity
; wind
; Suidae
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: We used two atmospheric dispersion models (ADMS and AERMOD) to simulate the short-range dispersion of ammonia emitted by two pig farms to assess their suitability in situations with frequent calm meteorological conditions. Simulations were carried out both using constant and temporally-varying emission rates to evaluate the effect on the model predictions. Monthly and annual mean concentrations predicted by the models at locations within one kilometre of the farms were compared with measured values. AERMOD predicted higher concentrations than ADMS (by a factor of 6-7, on average) and predicted the atmospheric concentrations more accurately for both the monthly and annual simulations. The differences between the concentrations predicted by the two models were mainly the result of different calm wind speed thresholds used by the models. The use of temporally-varying emission rates improved the performance of both models for the monthly and annual simulations with respect to the constant emission simulations. A Monte Carlo uncertainty analysis based on the inputs judged to be the most uncertain for the selected case study estimated a prediction uncertainty of ± a factor of two for both models with most of this due to uncertainty in emission rates. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82056
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Agricultural Chemistry and Analysis, Higher Technical School of Agricultural Engineering, Technical University of Madrid, Spain; Centre for Ecology and Hydrology, Edinburgh Research Station, Penicuik, United Kingdom
Recommended Citation:
Theobald M,R,, Sanz-Cobena A,et al. Suitability and uncertainty of two models for the simulation of ammonia dispersion from a pig farm located in an area with frequent calm conditions[J]. Atmospheric Environment,2015-01-01,102