Assessment of the AERMOD dispersion model over complex terrain with different types of meteorological data: Tracy Power Plant experiment

Rzeszutek, Mateusz; Szulecka, Adriana; Oleniacz, Robert; Bogacki, Marek

doi:10.1051/e3sconf/20172200149

Cited by 8 publications

(9 citation statements)

References 15 publications

(32 reference statements)

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“…A clear matrix presentation of the obtained results is particularly suitable for presenting the results of the multicriteria evaluation, which is especially important in the SEA phases with the participation of the public. However, at the level of strategic planning and management, it is not necessary, and due to the lack of appropriate inputs, it is often not possible to use different mathematical methods, such as ARAS-Additive Ratio Assessment [36], AERMOD [37], or AHP-Analytical Hierarchy Process [38], or a holistic and inclusive approach that brings together different actors and disciplines for a successful transition to a circular economy [39]. The results of the assessment in the SEA represent the basis for establishing adequate guidelines when applying these methods and some other methods at a lower hierarchical level of impact assessment, i.e., when developing EIA-Environmental Impact Assessment and ESIA (Environmental Social Impact Assessment) [40].…”

Section: Discussionmentioning

confidence: 99%

Strategic Environmental Assessment as a Support in a Sustainable National Waste Management Program—European Experience in Serbia

2022

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Strategic Environmental Assessment (SEA) is one of the most important instruments for directing the strategic planning process toward the sustainable development goals in various areas of human activity. This also applies to the field of waste management. By applying SEA in waste management planning, it is possible to see the benefits and consequences of the proposed changes in space that will occur during the implementation of strategic planning concepts and based on that make appropriate decisions respecting the capacity of the space where the planned activities are implemented. The paper presents the application of SEA for the National Waste Management Program with all its spatial, organizational, energy, environmental, and other solutions, and the way they are included in the specific method of multicriteria evaluation in SEA. The specificity of the methodological approach indicates the need for equal consideration of environmental and socio-economic aspects of development and a clear presentation of the results obtained in order to make optimal decisions in waste management planning at the national level. The National Waste Management Program in Serbia, which legislation in the field of environmental protection and waste management is harmonized with EU legislation and directives, was chosen for the case study. The obtained results indicate the importance of an interdisciplinary approach in the evaluation of strategic solutions in the field of waste management, which is achieved by specific choice of environmental and socio-economic SEA goals and indicators as a basis for valorization of the proposed concept of waste management.

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Section: Discussionmentioning

confidence: 99%

Strategic Environmental Assessment as a Support in a Sustainable National Waste Management Program—European Experience in Serbia

2022

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“…Diffusion models that are commonly used include the steady-state Gaussian plume, Lagrangian-based trajectory, and grid models based on grid division. Popular diffusion models comprised of AERMOD, developed by the American Meteorological Society in conjunction with US Environmental Protection Agency (USEPA) (Rzeszutek et al, 2017); industrial source…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Assessment of PM2.5 Chemical Composition and Air Quality Monitoring: Implications of Air Pollutants Emissions from a Night Market in Kaohsiung City, Taiwan

Amesho

Lin

Gong

et al. 2021

Aerosol Air Qual. Res.

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There are around 300 night markets in Taiwan, and they have been drawing an increasing number of tourists in recent years. As a result, public awareness over air quality in the night markets has grown tremendously. In response to this, a specific night market in Kaohsiung City was chosen for this study in order to characterize the existing air quality in and around the night markets. In this present study, we employed an Industrial Source Complex Short-Term (ISCST3) air quality model for the simulation of PM2.5 diffusions. The model as a technique can simulate the pollutants emissions, diffusions, transportation, and pollution sources in specific areas and subsequently evaluate the influence between the source and the receiver. Therefore, we compared pollutants emissions data from several air quality monitoring stations with our sampling data of three different sampling sites in Kaohsiung City. The findings of this study showed that the average concentration of PM2.5 was in the range of 29-61 µg m -3 during opening hours of the night market, whereas the average concentration of PM2.5 range was between 22-38 µg m -3 before the night market opening hours. The concentration of metallic elements (ME) (Mg, Na, Cr, Mn, Fe, Cu, Al, Ba, Cd, Pb and Ca) was determined with the support of Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES). During the night market opening hours, the result disclosed that the ME concentrations in PM 2.5 was in an increasing order as follows: Na>Fe>Al>Ca. With respect to the concentration of carbonaceous species, our results showed that the highest total carbon (TC) concentration was found to be 6.52 µg m -3 during the downwind sampling interval. The highest elemental carbon (EC) and organic carbon (OC) concentration were found to be 6.53 µg m -3 and 2.70 µg m -3 of the PM2.5 concentration, respectively. This study's findings have significant consequences for Taiwan policymakers and urban planners, particularly those responsible for coordinating environmental protection and economic development in cities. Therefore, police actions to abate urban air pollution can be attained on diverse governing echelons, resulting in synergistic effects such as a reduction in climate change impacts.

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“…The use of meteorological data from weather prediction models in air quality modeling (including radioactive pollutants) is therefore unavoidable on a local scale, which is confirmed by numerous studies that used data from meteorological models [21,23,35,[42][43][44][45][46][47]. On the other hand, many studies [2,5,6,48] demonstrated that the use of data from meteorological models results in decreased accuracy in predicted air pollutant concentration levels.…”

Section: Introductionmentioning

confidence: 96%

“…Spatial representativeness of the measurement data is limited. The use of meteorological data from sites located several to dozens of kilometers from the source may lead to unrepresentative results of dispersion modeling, especially in complex terrain [5,6]. Found in the literature, one of the solutions to this problem is to obtain data from an advanced meteorological model, e.g., WRF (Weather Research and Forecasting model) or MM5 (Fifth-Generation Penn State/NCAR Mescoscale Model).…”

Section: Introductionmentioning

confidence: 99%

“…Its applications include, among many others, short-term meteorological forecasting [13,14], climatologic research [15,16], prediction of extreme events such as hurricanes [17,18], wind power forecasting [19,20] and air quality assessment and forecasting [2,5,[21][22][23][24][25][26][27][28][29][30]. Apart from regional applications, the results from the WRF model are implemented in air quality modeling systems on a local scale (<50 km) for air quality impact assessment, e.g., [3,5,[20][21][22][23][24] in the areas of urban agglomerations in order to assess air quality, determine the location of air quality monitoring stations and to quantify the contribution of each emission source in air quality deterioration [31][32][33][34][35][36][37]. Many of the aforementioned studies focused on conducting an air quality model assessment, but meteorological model assessment was occasionally neglected.…”

Section: Introductionmentioning

confidence: 99%

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Accuracy Assessment of WRF Model in the Context of Air Quality Modeling in Complex Terrain

Rzeszutek,

Kłosowska,

Oleniacz

2023

Sustainability

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Output data from the Weather Research and Forecasting (WRF) model are frequently used in air quality modeling for scientific, practical and regulatory purposes. Therefore, it is crucial to determine whether the accuracy of WRF predictions is suitable for application in air quality models on a local scale (<50 km) and in complex terrain. The presented research is unique because, to assess the accuracy of the WRF model, data from experimental data sets for the assessment of air quality models were used, which contained information about the actual conditions of selected meteorological parameters along the vertical profile of the atmosphere. The aim of the study was to conduct an evaluation of the WRF model using data derived from three field experiments designated to conduct air quality model evaluation studies for models such as AERMOD, ADMS or CALPUFF. Accuracy evaluation was carried out in relation to the grid resolution, station location (on-site and weather airport) and vertical profile of the atmosphere. Obtained results of the evaluation for temperature, wind speed and direction were analyzed with regard to the possibilities of application in air quality modeling systems. It was stated that the use of a grid with a resolution of 1 km generally resulted in statistically significantly lower values of errors for wind speed compared to a 4 km resolution. The outcomes of simulations for temperature and wind speed were sensitive with regard to the location. In on-site locations (complex terrain) significantly higher values of prediction errors (MB, MGE, RMSE) were obtained compared to the standard weather station locations (airport). In addition, wind speed predictions in on-site locations were generally biased (overestimated). Along the vertical profile of the atmosphere, up to the altitude of 100 m a.g.l., statistically significantly different outcomes of accuracy evaluation were achieved for wind speed and direction. Considering the above, caution should be exercised when using data from meteorological simulations in air quality modeling.

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Assessment of the AERMOD dispersion model over complex terrain with different types of meteorological data: Tracy Power Plant experiment

Cited by 8 publications

References 15 publications

Strategic Environmental Assessment as a Support in a Sustainable National Waste Management Program—European Experience in Serbia

Strategic Environmental Assessment as a Support in a Sustainable National Waste Management Program—European Experience in Serbia

Assessment of PM2.5 Chemical Composition and Air Quality Monitoring: Implications of Air Pollutants Emissions from a Night Market in Kaohsiung City, Taiwan

Accuracy Assessment of WRF Model in the Context of Air Quality Modeling in Complex Terrain

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