PRESAXIO regional air quality modelling system: validation and applications

Souto, José A.; Saavedra, Santiago; Rodríguez, Antonio Pérez; Dios, M.; López, Javier; Hernández-Garces, Anel; Cartelle, David; Vellon, J.M.; Gallego, N.; Macho, María Luz

doi:10.1504/ijep.2014.065924

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…No time as model spin-up is considered. The output frequency of the WRF model is set to 1 h. In this work, Yong Sei University-Pleim-Chang (YSU) PBL scheme (Hong and Lim, 2006) is selected because of its better results (Saavedra et al, 2012b;Souto et al, 2014) after testing four different PBL schemes. Different CALMET model horizontal resolutions were tested, in order to consider complex terrain and coastal influences (Scire et al, 2000a).…”

Section: Física De La Tierramentioning

confidence: 99%

Validación de simulaciones de los modelos CALMET/CALPUFF en el entorno de una gran chimenea de central térmica

et al. 2016

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CALMET/CALPUFF modeling system is frequently used in the study of atmospheric processes and pollution, and several validation tests were performed until now; nevertheless, most of them were based on experiments with a large compilation of surface and aloft meteorological measurements, rarely available. At the same time, the use of a large operational smokestack as tracer/pollutant source is not usual. In this work, first CALMET meteorological diagnostic model is nested to WRF meteorological prognostic model simulations (3x3 km 2 horizontal resolution) over a complex terrain and coastal domain at NW Spain, covering 100x100 km 2 , with a coal-fired power plant emitting SO 2 . Simulations were performed during three different periods when SO 2 hourly glc peaks were observed. NCEP reanalysis were applied as initial and boundary conditions. Yong Sei University-Pleim-Chang (YSU) PBL scheme was selected in the WRF model to provide the best input to three different CALMET horizontal resolutions, 1x1 km 2 , 0.5x0.5 km 2 , and 0.2x0.2 km 2 . The best results, very similar between them, were achieved using the last two resolutions; therefore, the 0.5x0.5 km 2 resolution was selected to test different CALMET meteorological inputs, using several combinations of WRF outputs and/or surface and upper-air measurements available in the simulation domain. With respect to meteorological aloft models output, CALMET PBL depth estimations are very similar to PBL depth estimations using upper-air measurements (rawinsondes), and significantly better than WRF PBL depth results. Regarding surface models surface output, the available meteorological sites were divided in two groups, one to provide meteorological input to CALMET (when applied), and another to models validation. Comparing WRF and CALMET outputs against surface measurements (from sites for models validation) the lowest RMSE was achieved using as CALMET input dataset WRF output combined with surface measurements (from sites for CALMET model input). Following, CALPUFF model was applied to simulate the local atmospheric diffusion of SO 2 (as an inert tracer) from a large power plant smokestack (with four parallel independent liners), considering two different stack configurations (one single point source as a summa of four liners vs. one point source per liner) and two different CALMET meteorological simulations (using as input dataset only the WRF model output vs. only surface and upper-air meteorological measurements). Comparison of those CALPUFF simulations results against the hourly average ground level concentration (glc) measurements shows that the best model performance was obtained by using only WRF model output as CALMET input; also, better glc results are obtained considering one point source per liner in CALPUFF simulations. Key words: CALMET, CALPUFF, WRF, model validation and intercomparison, surface and rawinsonde data, PBL depth, plume dispersion, glc, stack configuration. ResumenEl sistema de modelización CALMET/CALPUFF es empleado habitualmente en el est...

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Section: Física De La Tierramentioning

confidence: 99%

Validación de simulaciones de los modelos CALMET/CALPUFF en el entorno de una gran chimenea de central térmica

et al. 2016

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“…Many receptor models, such as positive matrix factorization (PMF) 15 16 17 18 19 20 21 , principal component analysis with multiple linear regression analysis (PCA-MLRA) 6 22 23 , and chemical mass balance (CMB) 24 25 are also widely used. Besides, there are many other numerical modeling and analytical methods such as GEOS-Chem chemical transport model 12 24 25 26 27 28 29 30 31 32 33 34 , Weather Research and Forecasting model coupled with chemistry (WRF/Chem) 29 35 36 37 , land-use regression (LUR) models 38 39 40 41 , Dust REgional Atmospheric Model 42 , observation-based model 43 , GIS-based multi-source and multi-box modeling 44 , global sensitivity analysis method 45 , and episode-based evolution pattern analysis 46 . In addition to using such methods to characterize the amount of pollution level in selected areas, the enhanced air quality index (AQI) can also be used 47 48 49 , such as in the form of pollutant concentration values divided by their standards 50 .…”

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confidence: 99%

Assessment of regional air quality by a concentration-dependent Pollution Permeation Index

Liang

Liu

et al. 2016

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Although air quality monitoring networks have been greatly improved, interpreting their expanding data in both simple and efficient ways remains challenging. Therefore, needed are new analytical methods. We developed such a method based on the comparison of pollutant concentrations between target and circum areas (circum comparison for short), and tested its applications by assessing the air pollution in Jing-Jin-Ji, Yangtze River Delta, Pearl River Delta and Cheng-Yu, China during 2015. We found the circum comparison can instantly judge whether a city is a pollution permeation donor or a pollution permeation receptor by a Pollution Permeation Index (PPI). Furthermore, a PPI-related estimated concentration (original concentration plus halved average concentration difference) can be used to identify some overestimations and underestimations. Besides, it can help explain pollution process (e.g., Beijing’s PM2.5 maybe largely promoted by non-local SO2) though not aiming at it. Moreover, it is applicable to any region, easy-to-handle, and able to boost more new analytical methods. These advantages, despite its disadvantages in considering the whole process jointly influenced by complex physical and chemical factors, demonstrate that the PPI based circum comparison can be efficiently used in assessing air pollution by yielding instructive results, without the absolute need for complex operations.

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PRESAXIO regional air quality modelling system: validation and applications

Cited by 2 publications

References 8 publications

Validación de simulaciones de los modelos CALMET/CALPUFF en el entorno de una gran chimenea de central térmica

Validación de simulaciones de los modelos CALMET/CALPUFF en el entorno de una gran chimenea de central térmica

Assessment of regional air quality by a concentration-dependent Pollution Permeation Index

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