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Journal articles on the topic 'Calpuff'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Jittra, Nattawut, Nattaporn Pinthong, and Sarawut Thepanondh. "Performance Evaluation of AERMOD and CALPUFF Air Dispersion Models in Industrial Complex Area." Air, Soil and Water Research 8 (January 2015): ASWR.S32781. http://dx.doi.org/10.4137/aswr.s32781.

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AERMOD and CALPUFF air dispersion models were evaluated for their performance in predicting nitrogen dioxide (NO2) and sulfur dioxide (SO2) in Maptaphut industrial area in Thailand. Emission data were obtained from 292 point sources in the study domain. Modeled results were compared with those measured data from 10 receptor sites. Evaluation of model performance was carried out by using statistical analysis. Overall results revealed that AERMOD provided more accurate results than CALPUFF model for both NO2 and SO2 predictions. As for the highest value, results from robust highest concentration analysis indicated that AERMOD had better performance in predicting extreme high-end concentration than CALPUFF.

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Degrazia, Franco Caldas, Marco Túllio Menna Barreto de Vilhena, Gervásio Annes Degrazia, and Bardo Bodmann. "COMPARISON BETWEEN THE MODELS CALPUFF AND LAGRANGIAN LAMBDA WITH LINE SOURCE." Ciência e Natura 38 (July 20, 2016): 122. http://dx.doi.org/10.5902/2179460x20120.

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The aim of this study is to compare the CALPUFF and LAMBDA models and evaluate the regulatory model CALPUFF accuracy in situations of line instant source emissions. Line source emissions exist in a variety of situations in the environmental field. Paved and unpaved roads are the most common examples of line sources. For instance, in the mining sector these two types of sources play an important role of anthropogenic influences in the environment. The OLAD experiment is appropriate to evaluate these models and check the accuracy of both. The CALPUFF results show in the simulations for short and long distances a systematic tendency of sub-prediction for the concentration. The LAMBDA model presented better accuracy in the prediction of natural pollutant dispersion even disregarding the spatial variability of meteorological field and topography. When the LAMBDA model is used the flow of pollutants to greater distances is less pronounced, especially because of the time step of one second adopted in the simulation.

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3

Dong, Long Xiang, Hong Chao Zuo, and Wen Cheng Dong. "Validation of CALPUFF Applicability within Urban Area." Advanced Materials Research 726-731 (August 2013): 1813–16. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.1813.

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An atmospheric tracer dispersion study known as Urban Meteorological and Tracer Experiment was carried out in Yuzhong County, Gansu province in northwest of China, during October of 2011. By using the observational data, the applicability of CALPUFF model based on Gaussian formula was verified within urban area. The results show that (i) CALPUFF model can reasonably reflect the actual observations on the whole, and the high value centers of tracer concentration was changed with wind direction over the urban canopy layer. (ii) The simulated plume central axis has a bias of 10-15° with observations, and the simulation error is very much big at the single point, especially at the ground.

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Silva, Mauricio Soares da, Bruno D'aiuto da Cunha, Luiz Claudio Gomes Pimentel, Jesús Salvador Pérez Guerrero, and Pedro Caffaro Vicentini. "Análise comparativa da concentração de dióxido de enxofre via modelos regulatórios AERMOD e CALPUFF e monitoramento próximo às fontes de emissão da bacia aérea III - RMRJ." Revista Brasileira de Meteorologia 29, no. 2 (June 2014): 281–98. http://dx.doi.org/10.1590/s0102-77862014000200011.

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A Região Metropolitana do Rio de Janeiro (RMRJ) pode ser caracterizada como uma área afetada por diferentes e complexos mecanismos atuantes na dispersão de poluentes, e que vem sendo submetida a profundas transformações no cenário de emissões atmosféricas. Desta forma uma avaliação das atuais ferramentas indicadas pelos órgãos responsáveis na modelagem regulatória para a obtenção de novos licenciamentos ambientais se torna necessária, principalmente, devido ao atual debate da comunidade científica internacional a respeito do uso destas ferramentas. Nesse contexto, os modelos regulatórios de qualidade do ar AERMOD e CALPUFF tiveram seu desempenho avaliado numa aplicação para a RMRJ em condições de modelagem tipicamente aplicáveis para situações nas proximidades das fontes de emissão. As avaliações estatísticas demonstraram um melhor desempenho do CALPUFF para a Bacia Aérea III desta região, sendo os resultados de suas simulações mais conservadores e com uma tendência para superestimar as concentrações, enquanto os resultados do AERMOD apresentaram a tendência de subestimar as concentrações. Para todos os critérios de avaliação, os resultados do CALPUFF demonstraram ser mais realísticos para a estimativa das concentrações de dióxido de enxofre, quando submetidos às condições locais de dispersão durante o período analisado, indicando ser uma ferramenta adequada para uma melhor gestão da qualidade do ar na Bacia Aérea III da RMRJ.

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Bai, Shubin, Yuanqiao Wen, Li He, Yiming Liu, Yan Zhang, Qi Yu, and Weichun Ma. "Single-Vessel Plume Dispersion Simulation: Method and a Case Study Using CALPUFF in the Yantian Port Area, Shenzhen (China)." International Journal of Environmental Research and Public Health 17, no. 21 (October 26, 2020): 7831. http://dx.doi.org/10.3390/ijerph17217831.

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To study the impact of vessel pollution on the atmospheric environment of the surrounding area, we present a numerical simulation method based on regional emissions inventories. The general spatial resolution is ≥1 km and the temporal resolution is ≥1 h; parameters which are suitable for the study of larger space–time scales. In this paper, the WRF/CALMET/CALPUFF model and Automatic Identification System (AIS) data are employed to develop a single-vessel atmospheric pollution diffusion model. The goal of this research uses existing meteorological models and diffusion models to provide a simulation technology method for studying the diffusion of SO2 from a single ship. We take the outgoing phase of ocean-going container vessels in Yantian Port as an example. It can be used to set the position of sensitive receptors near the port area. Simulations are implemented with CALPUFF and the results are compared with data derived from on-site monitoring instrument. The CALPUFF modelling domain covers an area of 925 km2 with a grid spacing of 500 m. The simulation results demonstrated agreement with the measured data. The ground concentration contribution value ranged from 10 to 102 μg/m3, while the affected area was about 4–26 km2 and the high-value area of the ground concentration contribution was distributed within 1–2 km from the ship track. Emissions generated by the vessels represent a considerable contribution to SO2 pollution around the harbor areas.

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6

Ha, Minjin, Taekyeong Lee, Im Hack Lee, and Eui Chan Jeon. "Analysis about CO Diffusion Change Caused by Climate Change Using CALPUFF." Journal of Climate Change Research 8, no. 2 (June 30, 2017): 81–89. http://dx.doi.org/10.15531/ksccr.2017.8.2.81.

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7

Ridzuan, N., U. Ujang, S. Azri, and T. L. Choon. "VISUALISING URBAN AIR QUALITY USING AERMOD, CALPUFF AND CFD MODELS: A CRITICAL REVIEW." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-4/W3-2020 (November 23, 2020): 355–63. http://dx.doi.org/10.5194/isprs-archives-xliv-4-w3-2020-355-2020.

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Abstract. Degradation of air quality level can affect human’s health especially respiratory and circulatory system. This is because the harmful particles will penetrate into human’s body through exposure to surrounding. The existence of air pollution event is one of the causes for air quality to be low in affected urban area. To monitor this event, a proper management of urban air quality is required to solve and reduce the impact on human and environment. One of the ways to manage urban air quality is by modelling ambient air pollutants. So, this paper reviews three modelling tools which are AERMOD, CALPUFF and CFD in order to visualise the air pollutants in urban area. These three tools have its own capability in modelling the air quality. AERMOD is better to be used in short range dispersion model while CALPUFF is for wide range of dispersion model. Somehow, it is different for CFD model as this model can be used in wide range of application such as air ventilation in clothing and not specifically for air quality modelling only. Because of this, AERMOD and CALPUFF model can be classified in air quality modelling tools group whereas CFD modelling tool is classified into different group namely a non-specific modelling tool group which can be implemented in many fields of study. Earlier air quality researches produced results in two-dimensional (2D) visualization. But there are several of disadvantages for this technique. It cannot provide height information and exact location of pollutants in three-dimensional (3D) as perceived in real world. Moreover, it cannot show a good representation of wind movement throughout the study area. To overcome this problem, the 3D visualization needs to be implemented in the urban air quality study. Thus, this paper intended to give a better understanding on modeling tools with the visualization technique used for the result of performed research.

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8

Porter, Raymond C. "PREDICTING SHORT TERM ODOR IMPACTS USING AERMOD AND CALPUFF." Proceedings of the Water Environment Federation 2004, no. 3 (January 1, 2004): 151–62. http://dx.doi.org/10.2175/193864704784327412.

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9

Lee, Chong-Bum, and Jea-Chul Kim. "Evaluation of the CALPUFF Model Using Improved Meteorological Fields in Complex Terrain of East Sea Coast." Journal of Korean Society for Atmospheric Environment 25, no. 1 (February 28, 2009): 15–25. http://dx.doi.org/10.5572/kosae.2009.25.1.015.

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10

Choi, Doo Sung, Jong-Sang Youn, Im Hack Lee, Byung Jin Choi, and Ki-Joon Jeon. "Considering Condensable Particulate Matter Emissions Improves the Accuracy of Air Quality Modeling for Environmental Impact Assessment." Sustainability 13, no. 8 (April 16, 2021): 4470. http://dx.doi.org/10.3390/su13084470.

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This study examines environmental impact assessment considering filterable particulate matter (FPM) and condensable particulate matter (CPM) to improve the accuracy of the air quality model. Air pollutants and meteorological data were acquired from Korea’s national monitoring station near a residential development area in the target district and background site. Seasonal emissions of PM2.5, including CPM, were estimated using the California puff (CALPUFF) model, based on Korea’s national emissions inventory. These results were compared with the traditional environmental impact assessment results. For the residential development area, the seasonal PM2.5 concentration was predicted by considering FPM and CPM emissions in the target area as well as the surrounding areas. In winter and spring, air quality standards were not breached because only FPM was considered. However, when CPM was included in the analysis, the results exceeded the air quality standards. Furthermore, it was predicted that air quality standards would not be breached in summer and autumn, even when CPM is included. In other words, conducting an environmental impact assessment on air pollution including CPM affects the final environmental decision. Therefore, it is concluded that PM2.5 should include CPM for greater accuracy of the CALPUFF model for environmental impact assessment.

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11

Adamatti, Diana Francisca, Gerson Leiria Nunes, Camila Dasso Thomassi, Marcio Jugueiro, and Alexander Gularte. "Simulation Tools to Analyze the Impact of Industries Installation." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 12 (September 2, 2015): 6310–25. http://dx.doi.org/10.24297/ijct.v14i12.1769.

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This paper presents a simulator that analyzes the impacts of the pollutants emission of a new industry insertion on a specific region (in our studies, at Rio Grande City â€“ Brazil). This simulation calculates the atmosphere pollutants concentration and the user can chose between three pollutants dispersion models to simulate: a hypothetic model, ISC model or CALPUFF model, all of them were integrated to GIS.

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12

Holnicki, Piotr, Andrzej Kałuszko, and Wojciech Trapp. "An urban scale application and validation of the CALPUFF model." Atmospheric Pollution Research 7, no. 3 (May 2016): 393–402. http://dx.doi.org/10.1016/j.apr.2015.10.016.

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13

Y. Li and H. Guo. "Comparison of Odor Dispersion Predictions Between CFD and CALPUFF Models." Transactions of the ASABE 49, no. 6 (2006): 1915–26. http://dx.doi.org/10.13031/2013.22293.

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14

Oshan, Rajni, Ashok Kumar, and Anand Masuraha. "Application of the USEPA's CALPUFF model to an urban area." Environmental Progress 25, no. 1 (2006): 12–17. http://dx.doi.org/10.1002/ep.10132.

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15

Loeck, Jaqueline Fischer, Juliana Schramm, and Bardo Bodmann. "Modelo para dispersão de poluentes com condições de contorno reflexivas e simulação de dados no CALPUFF." Ciência e Natura 40 (April 18, 2018): 257. http://dx.doi.org/10.5902/2179460x30764.

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The present work is an attempt to simulate the pollutants dispersion in the surroundings of the thermoelectric power plant located in Linhares from a new mathematical model based on reflective boundaries in the deterministic advection-diffusion equation. In addition to the advection-diffusion equation with reflective boundaries, it was used data simulated with the CALPUFF model. The exposed model was validated previously with the Hanford and Copenhagen experiments.

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16

An, Hye Yeon, Yoon-Hee Kang, Sang-Keun Song, and Yoo-Keun Kim. "Comparison of CALPUFF and HYSPLIT Models for Atmospheric Dispersion Simulations of Radioactive Materials." Journal of Korean Society for Atmospheric Environment 31, no. 6 (December 31, 2015): 573–84. http://dx.doi.org/10.5572/kosae.2015.31.6.573.

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17

Li, M., H. Liu, and C. Yang. "A REAL-TIME GIS PLATFORM FOR HIGH SOUR GAS LEAKAGE SIMULATION, EVALUATION AND VISUALIZATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4/W2 (July 14, 2015): 225–31. http://dx.doi.org/10.5194/isprsannals-ii-4-w2-225-2015.

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The development of high-sulfur gas fields, also known as sour gas field, is faced with a series of safety control and emergency management problems. The GIS-based emergency response system is placed high expectations under the consideration of high pressure, high content, complex terrain and highly density population in Sichuan Basin, southwest China. The most researches on high hydrogen sulphide gas dispersion simulation and evaluation are used for environmental impact assessment (EIA) or emergency preparedness planning. This paper introduces a real-time GIS platform for high-sulfur gas emergency response. Combining with real-time data from the leak detection systems and the meteorological monitoring stations, GIS platform provides the functions of simulating, evaluating and displaying of the different spatial-temporal toxic gas distribution patterns and evaluation results. This paper firstly proposes the architecture of Emergency Response/Management System, secondly explains EPA’s Gaussian dispersion model CALPUFF simulation workflow under high complex terrain and real-time data, thirdly explains the emergency workflow and spatial analysis functions of computing the accident influencing areas, population and the optimal evacuation routes. Finally, a well blow scenarios is used for verify the system. The study shows that GIS platform which integrates the real-time data and CALPUFF models will be one of the essential operational platforms for high-sulfur gas fields emergency management.

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18

Lu, Yanyan. "A numerical study of harmful gas dispersion based on CALPUFF model." E3S Web of Conferences 191 (2020): 03007. http://dx.doi.org/10.1051/e3sconf/202019103007.

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Severe gas leakage accidents occasionally happened during the exploitation of high-sulfur gas, the consequent harmful gas dispersion could seriously impact the air quality, cause large-scale casualties and economic losses. Therefore, people’s comprehensive understanding of harmful gas dispersion in both spatial and temporal dimensions should be improved. This paper takes gas well blowout accident in Kai County, China, as the case study, simulates and analyzes the dispersion characteristics of the leaked gas, mainly focuses on H2S. The CALPUFF model is applied to execute the experiment, the detailed meteorological data, complex terrain data, wet deposition and chemical transformations are all under consideration. The result shows that due to different impact factors, such as complex terrain and gas density variations, H2S exposure risk was higher in the valley area than that on the mountain, which also explains why Xiaoyang and Gaowang villages have a great number of casualties. Besides, the analysis result is basically consistent with the historical local news and reported data, which demonstrated that our case study of H2S gas dispersion simulation is reasonable and reliable.

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19

Chang, Joseph C., Pasquale Franzese, Kittisak Chayantrakom, and Steven R. Hanna. "Evaluations of CALPUFF, HPAC, and VLSTRACK with Two Mesoscale Field Datasets." Journal of Applied Meteorology 42, no. 4 (April 2003): 453–66. http://dx.doi.org/10.1175/1520-0450(2003)042<0453:eochav>2.0.co;2.

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20

Abdul-Wahab, Sabah, Ali Sappurd, and Ali Al-Damkhi. "Application of California Puff (CALPUFF) model: a case study for Oman." Clean Technologies and Environmental Policy 13, no. 1 (March 10, 2010): 177–89. http://dx.doi.org/10.1007/s10098-010-0283-7.

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21

Do, Woo-Gon, and Woo-Sik Jung. "A Study on the Analysis of Contribution Rate by the Odor Emission Sources Using CALPUFF." Journal of Korean Society for Atmospheric Environment 35, no. 5 (October 31, 2019): 647–57. http://dx.doi.org/10.5572/kosae.2019.35.5.647.

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22

Indumati, S., R. B. Oza, Y. S. Mayya, V. D. Puranik, and H. S. Kushwaha. "Dispersion of pollutants over land–water–land interface: Study using CALPUFF model." Atmospheric Environment 43, no. 2 (January 2009): 473–78. http://dx.doi.org/10.1016/j.atmosenv.2008.09.030.

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23

Dresser, Alan L., and Robert D. Huizer. "CALPUFF and AERMOD Model Validation Study in the Near Field: Martins Creek Revisited." Journal of the Air & Waste Management Association 61, no. 6 (June 2011): 647–59. http://dx.doi.org/10.3155/1047-3289.61.6.647.

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Ravina, Marco, Deborah Panepinto, and Maria Chiara Zanetti. "Development of the DIDEM Model: Comparative evaluation of CALPUFF and SPRAY dispersion models." International Journal of Environmental Impacts: Management, Mitigation and Recovery 3, no. 1 (January 3, 2020): 1–18. http://dx.doi.org/10.2495/ei-v3-n1-1-18.

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25

MacIntosh, David L., James H. Stewart, Theodore A. Myatt, Joseph E. Sabato, George C. Flowers, Kirk W. Brown, Dennis J. Hlinka, and David A. Sullivan. "Use of CALPUFF for exposure assessment in a near-field, complex terrain setting." Atmospheric Environment 44, no. 2 (January 2010): 262–70. http://dx.doi.org/10.1016/j.atmosenv.2009.09.023.

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Qiu, Xin, Irene Cheng, Fuquan Yang, Erin Horb, Leiming Zhang, and Tom Harner. "Emissions databases for polycyclic aromatic compounds in the Canadian Athabasca oil sands region – development using current knowledge and evaluation with passive sampling and air dispersion modelling data." Atmospheric Chemistry and Physics 18, no. 5 (March 8, 2018): 3457–67. http://dx.doi.org/10.5194/acp-18-3457-2018.

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Abstract. Two speciated and spatially resolved emissions databases for polycyclic aromatic compounds (PACs) in the Athabasca oil sands region (AOSR) were developed. The first database was derived from volatile organic compound (VOC) emissions data provided by the Cumulative Environmental Management Association (CEMA) and the second database was derived from additional data collected within the Joint Canada–Alberta Oil Sands Monitoring (JOSM) program. CALPUFF modelling results for atmospheric polycyclic aromatic hydrocarbons (PAHs), alkylated PAHs, and dibenzothiophenes (DBTs), obtained using each of the emissions databases, are presented and compared with measurements from a passive air monitoring network. The JOSM-derived emissions resulted in better model–measurement agreement in the total PAH concentrations and for most PAH species concentrations compared to results using CEMA-derived emissions. At local sites near oil sands mines, the percent error of the model compared to observations decreased from 30 % using the CEMA-derived emissions to 17 % using the JOSM-derived emissions. The improvement at local sites was likely attributed to the inclusion of updated tailings pond emissions estimated from JOSM activities. In either the CEMA-derived or JOSM-derived emissions scenario, the model underestimated PAH concentrations by a factor of 3 at remote locations. Potential reasons for the disagreement include forest fire emissions, re-emissions of previously deposited PAHs, and long-range transport not considered in the model. Alkylated PAH and DBT concentrations were also significantly underestimated. The CALPUFF model is expected to predict higher concentrations because of the limited chemistry and deposition modelling. Thus the model underestimation of PACs is likely due to gaps in the emissions database for these compounds and uncertainties in the methodology for estimating the emissions. Future work is required that focuses on improving the PAC emissions estimation and speciation methodologies and reducing the uncertainties in VOC emissions which are subsequently used in PAC emissions estimation.

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27

Xie, Liuzhen, Qixiang Xu, and Ruidong He. "Atmospheric Pollution Impact Assessment of Brick and Tile Industry: A Case Study of Xinmi City in Zhengzhou, China." Sustainability 13, no. 4 (February 23, 2021): 2414. http://dx.doi.org/10.3390/su13042414.

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The brick and tile industry was selected to investigate the impact of pollutants emitted from such industry on air quality. Based on the 2018 Zhengzhou City Census data and combined with field sampling and research visits, an emission inventory of the brick and tile industry in Xinmi City was established using the emission factor method. Based on the established emission inventory, the concentrations of SO2, NOX, and PM2.5 emitted by 31 brick and tile enterprises were then predicted using the CALPUFF model (California puff model, USEPA), which had been evaluated for accuracy, and the simulation results were compared with the observed results to obtain the impact of pollutant emissions from the brick and tile industry on air pollution in the simulated region. Results show that SO2, NOX, and PM2.5 emissions from the brick and tile industry in the study area in 2018 were 564.86 tons, 513.16 tons, and 41.01 tons, respectively. The CALPUFF model can simulate the characteristics of meteorological changes and pollutant concentration trends, and the correlation coefficient of the fit curve between the pollutant observed data and the simulated data was higher than 0.8, which can reproduce the impact of key industrial point sources on air quality well. The simulated concentration values and spatial and temporal distribution characteristics of SO2, NOX, PM2.5 in spring, summer, autumn, and winter were obtained from the model simulations. The contribution of pollutant emissions from the brick and tile industry to the monthly average concentrations of SO2, NOX, and PM2.5 in the simulated region were 6.58%, 5.38%, and 1.42%, respectively, with the Housing Administration monitoring station as the receptor point. The brick and tile industry should increase the emission control measures of SO2 and NOX, and at the same time, the emission control of PM2.5 cannot be slackened.

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Jeong, Sang Jin. "CALPUFF and AERMOD Dispersion Models for Estimating Odor Emissions from Industrial Complex Area Sources." Asian Journal of Atmospheric Environment 5, no. 1 (March 1, 2011): 1–7. http://dx.doi.org/10.5572/ajae.2011.5.1.001.

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Protonotariou, Anna, Elisabeth Bossioli, Eleni Athanasopoulou, Aggeliki Dandou, Maria Tombrou, Helena A. Flocas, Costantinos G. Helmis, and Vasiliki D. Assimakopoulos. "Evaluation of CALPUFF modelling system performance: an application over the Greater Athens Area, Greece." International Journal of Environment and Pollution 24, no. 1/2/3/4 (2005): 22. http://dx.doi.org/10.1504/ijep.2005.007382.

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Yau, Ka Hing, Robert W. Macdonald (deceased)International Journal of Environment and Pollution 40, no. 1/2/3 (2010): 267. http://dx.doi.org/10.1504/ijep.2010.030898.

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Ghannam, K., and M. El-Fadel. "Emissions characterization and regulatory compliance at an industrial complex: An integrated MM5/CALPUFF approach." Atmospheric Environment 69 (April 2013): 156–69. http://dx.doi.org/10.1016/j.atmosenv.2012.12.022.

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WANG, L., D. PARKER, C. PARNELL, R. LACEY, and B. SHAW. "Comparison of CALPUFF and ISCST3 models for predicting downwind odor and source emission rates." Atmospheric Environment 40, no. 25 (August 2006): 4663–69. http://dx.doi.org/10.1016/j.atmosenv.2006.04.043.

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Yaacof, Nurashikin, Nastaein Qamaruzzaman, and Yusri Yusup. "Comparison Method Of Odour Impact Evaluation Using Calpuff Dispersion Modelling And On-Site Odour Monitoring." Engineering Heritage Journal 1, no. 1 (January 10, 2017): 1–5. http://dx.doi.org/10.26480/gwk.01.2017.01.05.

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Jafarigol, Farzaneh, Farideh Atabi, and Mahmoudreza Momeni. "The Survey of NOX Distribution Using Dispersion Models AERMOD and CALPUFF at a Gas Refinery." Journal of Environmental Health Engineering 3, no. 3 (June 1, 2016): 193–205. http://dx.doi.org/10.18869/acadpub.jehe.3.3.193.

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Diosey, Phyllis G., Maureen E. Hess, and Lorraine Farrell. "MODELING OF ODORS AND AIR TOXICS: A COMPARISON OF THE ISCST3, AERMOD, AND CALPUFF MODELS." Proceedings of the Water Environment Federation 2002, no. 5 (January 1, 2002): 372–92. http://dx.doi.org/10.2175/193864702785140519.

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Zhou, Ying, Jonathan I. Levy, James K. Hammitt, and John S. Evans. "Estimating population exposure to power plant emissions using CALPUFF: a case study in Beijing, China." Atmospheric Environment 37, no. 6 (February 2003): 815–26. http://dx.doi.org/10.1016/s1352-2310(02)00937-8.

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37

Tartakovsky, Dmitry, Eli Stern, and David M. Broday. "Comparison of dry deposition estimates of AERMOD and CALPUFF from area sources in flat terrain." Atmospheric Environment 142 (October 2016): 430–32. http://dx.doi.org/10.1016/j.atmosenv.2016.08.035.

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Sagan, Vasit, Robert Pasken, Jorge Zarauz, and Nickolay Krotkov. "SO2 trajectories in a complex terrain environment using CALPUFF dispersion model, OMI and MODIS data." International Journal of Applied Earth Observation and Geoinformation 69 (July 2018): 99–109. http://dx.doi.org/10.1016/j.jag.2018.03.003.

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Lee, Chong-Bum, Jea-Chul Kim, Gang-Woong Lee, Chul-Un Ro, and Hye-Kyeong Kim. "Tracer Experiment for the Investigation of Urban Scale Dispersion of Air Pollutants - Simulation by CALPUFF Dispersion Model and Diffusion Feature of Tracer Gases." Journal of Korean Society for Atmospheric Environment 23, no. 4 (August 31, 2007): 405–19. http://dx.doi.org/10.5572/kosae.2007.23.4.405.

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Bellasio, Roberto, Roberto Bianconi, Sonia Mosca, and Paolo Zannetti. "Incorporation of Numerical Plume Rise Algorithms in the Lagrangian Particle Model LAPMOD and Validation against the Indianapolis and Kincaid Datasets." Atmosphere 9, no. 10 (October 16, 2018): 404. http://dx.doi.org/10.3390/atmos9100404.

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This paper describes the methodology used to incorporate two numerical plume rise algorithms, one by Janicke and Janicke and another by Webster and Thomson, into the Lagrangian particle model LAPMOD. LAPMOD is fully interfaced with the diagnostic meteorological model CALMET, which is part of the widely used CALPUFF modeling system. LAPMOD can also use the meteorological input files produced with the AERMET meteorological processor of the US-EPA recommended model AERMOD. This paper outlines the theory behind the two plume rise algorithms and the details of their implementation in LAPMOD. The paper also provides the results of the evaluation of LAPMOD and its included plume rise algorithms against the well-known Indianapolis and Kincaid SF6 and SO2 field studies and tracer experiments. The performance of LAPMOD is successfully evaluated with the Model Evaluation Kit and compared with that of other air quality models.

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Ogneva-Himmelberger, Yelena, Liyao Huang, and Hao Xin. "CALPUFF and CAFOs: Air Pollution Modeling and Environmental Justice Analysis in the North Carolina Hog Industry." ISPRS International Journal of Geo-Information 4, no. 1 (January 26, 2015): 150–71. http://dx.doi.org/10.3390/ijgi4010150.

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Arregoces, Heli A., Yoma I. Mendoza, and Roberto E. Rojano. "Evaluación del CALPUFF para Estimar Concentraciones Ambientales de PM 10 de una Cantera en Terrenos Complejos." Información tecnológica 29, no. 5 (October 2018): 131–42. http://dx.doi.org/10.4067/s0718-07642018000500131.

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Levy, Jonathan I., John D. Spengler, Dennis Hlinka, David Sullivan, and Dennis Moon. "Using CALPUFF to evaluate the impacts of power plant emissions in Illinois: model sensitivity and implications." Atmospheric Environment 36, no. 6 (February 2002): 1063–75. http://dx.doi.org/10.1016/s1352-2310(01)00493-9.

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Oleniacz, Robert, Mateusz Rzeszutek, and Marek Bogacki. "Impact of Use of Chemical Transformation Modules in Calpuff on the Results of Air Dispersion Modelling." Ecological Chemistry and Engineering S 23, no. 4 (December 1, 2016): 605–20. http://dx.doi.org/10.1515/eces-2016-0043.

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Abstract Assessment of the impact on air quality for combustion sources should be carried out using advanced modelling systems with chemical transformation modules taken into account, especially for the facilities characterized by significant emission of gaseous air pollutants (including SO2). This approach increases the reliability of the obtained evaluation results by modelling the formation of secondary inorganic aerosol (SIA) in the air which can substantially contribute to PM10. This paper assesses in this regard selected chemical transformation modules (MESOPUFF, RIVAD/ARM3, ISORROPIA/RIVAD) available in the CALPUFF model (v. 6.42) and its application in the atmospheric dispersion modelling of air emissions from a coal-fired large combustion plant (LCP) not equipped with a flue gas desulphurization (FGD) system. It has been proven that consideration an additional mechanism of secondary sulfate aerosol formation in aqueous phase in the ISORROPIA/RIVAD module (AQUA option) causes a significant increase in the annual average concentration of PM10 in the air compared to the other considered options, along with the calculation variant which excludes chemical transformation mechanisms. Type of the selected chemical transformation module has no significant effect on the results of modelled NO, NO2 and NOx concentrations in the air. However, it can lead to different SO2 results, especially for annual averaged, and in some points, for the hourly averaged concentrations.

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Ghannam, K., and M. El-Fadel. "A framework for emissions source apportionment in industrial areas: MM5/CALPUFF in a near-field application." Journal of the Air & Waste Management Association 63, no. 2 (November 13, 2012): 190–204. http://dx.doi.org/10.1080/10962247.2012.739982.

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Jafari Shalkouhi, Pedram, Farideh Atabi, Faramarz Moattar, and Hossein Yousefi. "On the reliability of CALPUFF and AUSTAL 2000 modeling systems regarding smoke and vapor plume mergence." Időjárás 124, no. 2 (2020): 299–309. http://dx.doi.org/10.28974/idojaras.2020.2.8.

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Yim, Steve H. L., Jimmy C. H. Fung, and Alexis K. H. Lau. "Use of high-resolution MM5/CALMET/CALPUFF system: SO2 apportionment to air quality in Hong Kong." Atmospheric Environment 44, no. 38 (December 2010): 4850–58. http://dx.doi.org/10.1016/j.atmosenv.2010.08.037.

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Tian, Hong Wei, Wei Deng, and Lin Mao Ye. "Simulation of Sulfur Deposition from Power Plants in Henan Province, China." Advanced Materials Research 356-360 (October 2011): 712–16. http://dx.doi.org/10.4028/www.scientific.net/amr.356-360.712.

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Dry deposition and wet remove of sulfur from main power plants plan to build in Henan province of China were numerically simulated with CALPUFF based on estimated SO2emissions of each plant. The results of simulation shows that, the highest grid point annual dry deposition and wet remove quantity of sulfur from power plants reaches 554.498kg/km2and 457.745kg/km2respectively. Annual dry deposition and wet remove of sulfur in Henan region can reaches to 8381.422 ton and 4974.747 ton respectively. Zhengzhou was the most heavily impacted city by dry deposition and wet remove of sulfur from power plants, and annual flux of dry deposition and wet remove can reach to 366.953kg/km2and 188.743kg/km2 respectively. After the completion of construction of new plants and the closing down of old ones, dry and wet deposition in most region of HenanSuperscript textprovince declined, and 4642.220 ton of dry deposition and 2405.216 ton of wet deposition were lessened annually according to the simulation.

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Zhang, Xia, Liang Tian, Xian Sun, and Chuang Ye Jiang. "Study of Effects of Long-Range Transport of Air Pollutants on the Atmospheric Environment." Advanced Materials Research 955-959 (June 2014): 1341–45. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1341.

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Based on meteorological field output by MM5 mesoscale meteorological model and concentration field output by CALPUFF air quality model, “flux method” was applied to study effects of long-range transport of air pollutants on the atmospheric environment, in which micro-element method was used to solve the process of air pollutants transport in long-range of three-dimensional space. This method was first applied in studying a construction project’s impact on air quality in Guanzhong region of Shanxi Province. The results shows that the deviation of flux method is less which the value is 16 percent, and among all year around, the pollutants transport the more flux to the ENE and WSW directions of the project compared to other directions. Additional, the flux of fall and winter is more than it of spring and summer, and the project has a more severe influence of atmospheric environment in Xi’an city than it of Weinan city.

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Fonseca Hernandez, Mariam. "Estudio del impacto en la calidad del aire de las fuentes puntuales en la ciudad de pinar del Río." Revista Brasileira de Meteorologia 28, no. 1 (March 2013): 01–12. http://dx.doi.org/10.1590/s0102-77862013000100001.

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Se realizó un estudio del impacto de las fuentes fijas en la Ciudad de Pinar del Río utilizando el sistema de modelación MM5-CALMET-CALPUFF. Se simuló la dispersión de SO2, NOx, PM25, PM10 y CO emitidos por las 21 fuentes durante 15 días representativos del período lluvioso, además de la depositación húmeda de SO4(2-) y NO3-. Se observó que las máximas concentraciones se producen en horarios de la mañana y noche. Se observó que producto de estas emisiones se ven afectados algunas zonas cercanas a la ciudad como Minas de Matahambre, San Juan y Martínez, Santa María, San Luis, El Corojo, Hermanos Saíz, Viñales, Pilotos, Consolación del Sur y las Ovas. Los valores de concentración medios diarios de NOx y SO2 sobrepasaron sus concentraciones máximas admisibles según la NC 39: 1999 y estuvieron por encima de los valores guías de la Organización Mundial de la Salud y los valores estándares EPA.

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