Application of California Puff (CALPUFF) model: a case study for Oman

Abdul‐Wahab, Sabah A.; Ali, Sappurd; Al-Damkhi, Ali Mohamed

doi:10.1007/s10098-010-0283-7

Cited by 59 publications

(29 citation statements)

References 27 publications

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“…For example, California Puff (CALPUFF) is an atmospheric quality evaluation and prediction system for complex terrain [27]. The Gauss diffusion model, as the core of CALPUFF, uses a large number of discrete smoke clusters to represent continuous plume dispersion, and a "snapshot" method to evaluate the concentrated contribution of a single smoke group to a receptor point.…”

Section: Physical Chemistry Mechanism In the Formation Of Haze-fogmentioning

confidence: 99%

A New Perspective on Formation of Haze-Fog: The Fuzzy Cognitive Map and Its Approaches to Data Mining

Peng

2017

Sustainability

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Abstract:Haze-fog has seriously hindered the sustainable development of the ecological environment and caused great harm to the physical and mental health of residents in China. Therefore, it is important to probe the formation of haze-fog for its early warning and prevention. The formation of haze-fog is, in fact, a fuzzy nonlinear process. The formation of haze-fog is such a complex process that it is difficult to simulate its dynamic evolution using traditional methods, mainly because of the lack of their consideration of the nonlinear relationships. It is, therefore, essential to explore new perspectives on the formation of haze-fog. In this work, previous research on haze-fog formation is summarized first. Second, a new perspective is proposed on the application of fuzzy cognitive map to the formation of haze-fog. Third, a data mining method based on the genetic algorithm is used to discover the causality values of a fuzzy cognitive map (FCM) for haze-fog formation. Finally, simulation results are obtained through an experiment using the fuzzy cognitive map and its data mining method for the formation of haze-fog. The validity of this approach is determined by definition of a simple rule and the Kappa values. Thus, this research not only provides a new idea using FCM modeling the formation of haze-fog, but also uses an effective method of FCM for solving the nonlinear dynamics of the haze-fog formation.

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Section: Physical Chemistry Mechanism In the Formation Of Haze-fogmentioning

confidence: 99%

A New Perspective on Formation of Haze-Fog: The Fuzzy Cognitive Map and Its Approaches to Data Mining

Peng

2017

Sustainability

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“…More details about the CALPUFF modeling system and its different modules can be found in previous studies of the first author. 1, [19][20][21]34 Prior to running the CALPUFF pre-processors, shared information on the meteorological grid was entered into a common file using the Identify Shared Information module. This information was shared amongst all CALPUFF processors (Table I).…”

Section: B Operation Of Calpromentioning

confidence: 99%

Modeling of formaldehyde and nitrogen oxides from a proposed renewable energy biogas facility in Canada

Abdul‐Wahab

Lohi

Yetilmezsoy

et al. 2014

Journal of Renewable and Sustainable Energy

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The aim of this study was to use the CALPUFF modeling system, an effective and reliable atmospheric modeling tool, to predict the concentrations of formaldehyde (HCHO) and nitrogen oxides (NOx) released, due to the combustion of biogas in the combined heat and power (CHP) engines, from the Kawartha renewable energy generation facility at its proposed location in Ontario, Canada. In this study, HCHO and NOx were selected as the indicator and point source pollutants since they were the most significant products of biogas combustion emitted during the facility's normal operations (production of electricity and heat). The Lambert Conformal Conic projection coordinate system was implemented for the operation of the CALPUFF model. The proposed modeling scheme was coupled with both surface meteorological data (from 00:00 to 23:00) on an hourly basis and 12-h interval-based upper air meteorological data (from 00:00 to 12:00) to simulate the emission of these pollutants for the four seasonal Eastern Time meteorological conditions of winter (January 11–13, 2013), spring (April 14–16, 2013), summer (July 10–12, 2013), and autumn (November 16–18, 2013). The results from the CALPUFF dispersion model clearly demonstrated that the maximum 1-h average concentrations of both HCHO and NOx, emitted from the combustion of biogas (composed of 60% CH4 and 40% CO2) in five CHP engines (operation load = 100%, maximum electricity generation capacity = 9.8 MW), were found to be within the limits defined by Ontario Regulation 419/05.

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“…2 CALPUFF has been used to model the dispersion of contaminant emissions in several studies and research papers. Examples include the modelling of the dispersion of sulphur dioxide emissions from flaring activities in an oilfield, 8 sulphur dioxide emissions from different refineries, 9,10 nitrogen oxide emissions from a biomass energy power plant, 11 carbon monoxide, nitrogen oxide and particulate emissions from an industrial complex, 12 and hydrogen sulphide emissions from an accidental plant release. 13 Recent research papers have investigated the differences in modelling results when using CALPUFF and AERMOD to assess the dispersion of emitted contaminants.…”

Section: Introductionmentioning

confidence: 99%

A study of the dispersion of vinyl chloride from a renewable energy facility located in Ontario, Canada

Obaid

Abdul‐Wahab

Elkamel

2014

Journal of Renewable and Sustainable Energy

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This study compared the results of modelling vinyl chloride emissions from a renewable energy generation plant, located in the City of Kawartha Lakes, Ontario, Canada, using American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) and California Puff (CALPUFF). The plant utilizes landfill gas emissions from the existing Lindsay/Ops landfill to fuel an on-site generator, and thus generate electricity. The modelling was performed for July 20, 2013 and November 17, 2013, from 00h00 local standard time (LST) to 23h00 LST for both days. The results showed that modelling contaminant dispersion using CALPUFF resulted in significantly higher concentrations than when modelling with AERMOD. This may be due to the several limitations of AERMOD, including its assumptions of straight line trajectory, steady-state and a uniform atmosphere, its inaccuracy when determining long-range transport, and its inability to retain the memory of the previous hours' emissions. The CALPUFF modelling results also showed that the contaminant concentration may, in some instances, be higher farther away from the source than closer to it. The results also show that the concentration of vinyl chloride on July 20, 2013, as modelled by CALPUFF, exceeds the applicable regulatory limit. Thus, it is recommended to use CALPUFF instead of AERMOD to assess the dispersion of emissions from a facility more conservatively. Using CALPUFF will also ensure that the dispersion is assessed further away from the emissions sources as well as nearer to them. The appropriate selection of dispersion models is especially important when the results of one of the models may deem the facility's emissions non-compliant with the applicable regulatory limits.

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Application of California Puff (CALPUFF) model: a case study for Oman

Cited by 59 publications

References 27 publications

A New Perspective on Formation of Haze-Fog: The Fuzzy Cognitive Map and Its Approaches to Data Mining

A New Perspective on Formation of Haze-Fog: The Fuzzy Cognitive Map and Its Approaches to Data Mining

Modeling of formaldehyde and nitrogen oxides from a proposed renewable energy biogas facility in Canada

A study of the dispersion of vinyl chloride from a renewable energy facility located in Ontario, Canada

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