The Comparison of Lagrangian and Gaussian Models in Predicting of Air Pollution Emission Using Experimental Study, a Case Study: Ammonia Emission

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• 作者：Mohsen Asadi ; Gholamreza Asadollahfardi…
• 关键词：Ammonia emission ; Field measurement ; FLS technique ; AERMOD model
• 刊名：Environmental Modeling & Assessment
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：22
• 期：1
• 页码：27-36
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Math. Appl. in Environmental Science; Mathematical Modeling and Industrial Mathematics; Operation Research/Decision Theory; Applications of Mathematics;
• 出版者：Springer International Publishing
• ISSN：1573-2967
• 卷排序：22

文摘

Ammonia, as a colorless gas with a sharp odor, is considered as one of the created odors in the composting and landfill of solid waste. We used experimental data to study the robustness of AERMOD and the forward Lagrangian stochastic (FLS) in predicting ammonia emission in short range. The study area was Kahrizak landfill and composting plants, Tehran, Iran. The boundary layer parameters for the FLS were calculated on the basis of mean values of temperature, wind speed, and direction. While, the boundary layers of AERMOD were computed on the basis of exact meteorological data. The results depicted that AERMOD prediction at distances less than 1000 m from the sources and the locations inside the sources were poor. However, the results of FLS indicated more agreement with the field measurement, which the coefficient of determination was 0.83. Both models predicted, in the distance of 2000 m from the source, the ammonia concentration would be insignificant.