Improving the low-wind performance of the AERMOD atmospheric dispersion model for predicting short-range impacts of livestock ammonia emissions.

Theobald, Mark Richard and Sutton, Mark A. (2013). Improving the low-wind performance of the AERMOD atmospheric dispersion model for predicting short-range impacts of livestock ammonia emissions.. In: "Proceedings of 15th Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Madrid, Spain", 06/05/2013 - 09/05/2013, Madrid, Spain.

Description

Title: Improving the low-wind performance of the AERMOD atmospheric dispersion model for predicting short-range impacts of livestock ammonia emissions.
Author/s:
  • Theobald, Mark Richard
  • Sutton, Mark A.
Item Type: Presentation at Congress or Conference (Article)
Event Title: Proceedings of 15th Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Madrid, Spain
Event Dates: 06/05/2013 - 09/05/2013
Event Location: Madrid, Spain
Title of Book: 15th Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes
Date: 2013
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Química y Análisis Agrícola [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Short-range impacts to sensitive ecosystems as a result of ammonia emitted by livestock farms are often assessed using atmospheric dispersion modelling systems such as AERMOD. These assessments evaluate mean annual atmospheric concentrations of ammonia and nitrogen deposition rates at the ecosystem location for comparison with ecosystem damage thresholds. However, predictions of mean annual atmospheric concentrations can be dominated by periods of stable night-time conditions, which can contribute significantly to mean concentrations. AERMOD has been demonstrated to overestimate concentrations in certain stable low-wind conditions and so the model could potentially overestimate the short-range impacts of livestock ammonia emissions. This paper tests several modifications to the parameterisation of AERMOD (v12345) that aim to improve model predictions in low-wind conditions. The modifications are first described and then are applied to three pig farm case studies in the USA, Denmark and Spain to assess whether the modifications improve long-term mean ammonia concentration predictions through improved model performance. For these three case studies, most of the modifications tested improved model performance as a result of reducing the long-term mean concentration predictions, with the largest effect for low- or ground-level sources (e.g. slurry lagoons or naturally ventilated housing).

More information

Item ID: 26644
DC Identifier: http://oa.upm.es/26644/
OAI Identifier: oai:oa.upm.es:26644
Deposited by: Memoria Investigacion
Deposited on: 01 Jul 2014 14:03
Last Modified: 22 Sep 2014 11:42
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