Academic literature on the topic 'Calpuff'
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Journal articles on the topic "Calpuff"
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.
Full textDegrazia, 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.
Full textDong, 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.
Full textSilva, 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.
Full textBai, 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.
Full textHa, 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.
Full textRidzuan, 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.
Full textPorter, 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.
Full textLee, 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.
Full textChoi, 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.
Full textDissertations / Theses on the topic "Calpuff"
MELO, A. M. V. "Avaliação de desempenho dos modelos AERMOD e CALPUFF associados ao modelo PRIME." Universidade Federal do Espírito Santo, 2011. http://repositorio.ufes.br/handle/10/10249.
Full textA presença de casas e prédios e outras construções próximas de fontes emissoras afeta o padrão de escoamento de ar e a dispersão dos contaminantes na camada limite superficial. Além disto, o tempo de média para o qual as concentrações médias do contaminante são determinadas depende da composição química do contaminante e do tempo de impacto causado. Por exemplo, para compostos odorantes, o tempo de média deve ser relacionado ao intervalo de tempo de uma inspiração (1 à 5s) ou ao intervalo de tempo para o qual os compostos odorantes causam efetivamente o incômodo. Uma das ferramentas empregadas nos estudos desses impactos são os modelos matemáticos que tem a capacidade de incluir o efeito da presença de obstáculos e de representar concentrações de curto período no escoamento. Devido à facilidade e rapidez em sua aplicação, os modelos gaussianos são muito empregados com adaptações incorporando o efeito de obstáculos e a representação de concentrações de curto período. O presente trabalho tem como objetivo avaliar os modelos CALPUFF e AERMOD, utilizando o modelo PRIME para considerar os efeitos da presença do obstáculo, e duas metodologias para a obtenção de concentrações de pico, uma que aplica um fator de ajuste no coeficiente de dispersão e outra que aplica um fator de ajuste diretamente nas concentrações para pequenos intervalos de tempo. Os resultados das modelagens foram comparados com dados obtidos em experimentos de túnel de vento, e mostraram os que os modelos tenderam a subestimar os valores de concentração próximos aos obstáculos, com o modelo AERMOD superestimando seus resultados em relação ao CALPUFF. Além disso, foi possível inferir que o modelo CALPUFF melhora o seu desempenho à medida que a distância em relação ao obstáculo aumenta. Já com relação ao modelo AERMOD, constatou-se que seus resultados melhores ocorrem parte nas regiões próximas do obstáculo, sendo superior ao CALPUFF na maioria dos casos. Entretanto, para maiores distâncias, os dois modelos estimaram resultados semelhantes. A análise das concentrações máximas médias para intervalos de tempo de curto período sugeriu que o ajuste aplicado diretamente nas concentrações nas previsões dos modelos AERMOD e CALPUFF não diferem substancialmente. Porém quando as duas metodologias são analisadas no CALPUFF, as maiores concentrações de pico são encontradas com o fator de ajuste aplicado diretamente nas concentrações, com uma diminuição da diferença entre as metodologias à medida que se tem intervalos de tempos maiores.
Polenta, Giorgia. "Valutazione tramite il modello CALPUFF dell’impatto odorigeno dovuto all'ampliamento di una discarica." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.
Find full textBattilani, Alessandro. "Confronto metodologico nell'applicazione del modello CALPUFF per diversi formati di input meteo." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.
Find full textMoreno, Anjelica Victoria Peralez. "Modeling Atmospheric Transport of Perfluorinated Alkyl Substances from Chemours Facilities Using CALPUFF View." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555004834088189.
Full textTarantino, Maria Nastasia. "Valutazione degli effetti delle emissioni in atmosfera di uno stabilimento agroindustriale mediante software CALPUFF." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.
Find full textNegri, Elena. "Utilizzo del modello Calpuff per l'analisi della qualità dell'aria da emissioni di un impianto di processo." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amslaurea.unibo.it/2945/.
Full textSchramm, Juliana. "Estudo da dispersão de poluentes em uma usina termelétrica localizada em linhares utilizando o modelo Calpuff." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/148658.
Full textThis study aims to create a model using the coupling of the WRF and CALPUFF codes in order to obtain characteristics of the meteorological field and the dispersion of pollutants NO2 and SO2 of a power plant located at the city of Linhares. The field consists of a grid of 100×100 cells resolution of 1 km for 90 h. Another simulation was made without using WRF as an input into CALMET, in the purpose of comparison, using a 15×15 grid and no change of other parameters. The results were compared to data from the airport of Vitória and against environmental legislation. For the planetary boundary layer the results of WRF/CALMET simulation are within the range found in the literature. The results of average wind speed and direction obtained by both simulations are different from each other and from the data of the airport,such as expected due to the distance and orography of the power plant and station data used as input into the models. The maximum concentrations of the pollutants are within air quality standards. Due to lack of observational data, genuine validation of the results is not feasible, but knowing the location of the concentration peak, it was possible to propose suitable sampling sites for future verification.
Foschi, Eleonora. "Analisi delle problematiche ambientali dello stabilimento siderurgico ILVA e parziale valutazione dell’impatto delle sue emissioni in atmosfera attraverso il modello CALPUFF." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10608/.
Full textRossi, Isabella. "Utilizzo del modello Calpuff per la valutazione della qualità dell'aria da emissioni odorigene da un impianto per la lavorazione di semi oleosi." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Find full textMtiya, Khanyisa Siyakudumisa. "Modelling the dispersion of SO2 emissions from the chevron (Cape Town) oil refinery using the US EPA dispersion models AERMOD and CALPUFF." Thesis, Cape Peninsula University of Technology, 2013. http://hdl.handle.net/20.500.11838/864.
Full textIn South Africa, the Department of Environmental Affairs (DEA) under the National Environmental Management Act, 1998 (Act 107 of 1998) (“NEMA”) sets out a series of environmental management principles that apply to the interpretation and application of all legislation that may affect the environment. Since 1998, various specific environmental statutes that fall under the NEMA framework have been promulgated, including the National Environmental Management: Air Quality Act, Act 39 of 2004 (NEM: AQA).NEM:AQA provides norms and standards for all technical aspects of air quality management. The National Framework (Sections 7 and 8 of NEM:AQA) must provide mechanisms, systems and procedures to promote holistic and integrated air quality management through pollution prevention and minimisation at source, and through impact management with respect to the receiving environment, from local scale to international issues. Among other measures, the NEM:AQA (Section 9) requires the establishment of Ambient Air Quality Standards and Emission Standards. These standards were promulgated in December 2009 and March 2010 respectively. Air quality monitoring stations, which sample and analyse pollutant concentrations continuously, are a common method of assessing air quality in a region. But a few continuous monitors located in source given region or airshed are inadequate for assessing compliance with ambient air quality standards – they are only able to monitor concentrations at a fixed site, not through the entire region of impact. In contrast, the ambient air quality standards are applicable everywhere. Air quality models estimate ground level ambient concentrations throughout the modelling domain, and in principle (subject to proper validation) provide better estimates of area-wide concentrations and hence the basis for assessing compliance with air quality standards. The United States Environmental Protection Agency (US EPA) approved atmospheric air dispersion models AERMOD and CALPUFF were used in this thesis to predict the ground level concentrations of SO2 emitted from Chevron Refinery (Cape Town), for the year 2010. The modelling is validated by comparing measured ambient concentrations with modelled concentrations. The results showed AERMOD-modelled annual average values for 2010, based on refinery emissions only, are in good agreement with monitored values at the Table View and Bothasig sites, predicting the monitored values by -11% and +17% respectively. The 24-hr average values similarly are in good agreement with monitored values, on average over-predicting by 9% at Table View, although the fit of the day-to-day modelled vs monitored values is comparatively poor (R2=0.32); at the Bothasig site the corresponding values are - 36% and R2= 0.089. The AERMOD-modelled isopleths imply that the 2010 annual average concentrations exceeded the South African Standard of 50 μg/m3 in a small area in the immediate vicinity of the refinery. The hourly and 24-hourly average standard concentrations of 350μg/m3 and 125μg/m3 respectively are exceeded in significantly larger areas. The allowable exceedences for hourly and 24-hourly averages are also exceeded, implying that the hourly and 24-hourly standards were exceeded. CALPUFF-modelled average values for 2010, based on refinery emissions only, are in comparatively poor agreement with monitored values at the Table View and Bothasig sites, under-predicting the monitored values by -20% and -61% respectively. Since the AERMOD-modelled concentrations are in far better agreement with monitored concentrations, only AERMOD was used for further analysis. The Emission Standards promulgated in March 2010 included emission limit values for sulphur dioxide emitted from oil refineries. If the actual 2010 emission rates were adjusted downwards to match the emission standards (to be complied with from 1 April 2015), AERMOD modelling indicates that the annual, 24-hourly and hourly Ambient Air Quality Standards would not be exceeded. Based on this case study, the current Emission Standard for SO2 emissions from existing crude oil refineries is therefore coherent with the Ambient Air Quality Standards. Regulatory air dispersion modelling practices in South Africa are being standardised for model applications regulatory purposes and to ensure that dispersion modelling practices are undertaken in a compatible form to ensure that results from one dispersion model study can be compared directly to those from another. In this study both AERMOD and CALPUFF modelling complied with the draft South African guidelines for Air Quality Modelling, yet the CALPUFF- modelled outputs differed significantly from the monitored values. This emphasizes the importance of the inclusion of modelling validation in guidelines for modelling for regulatory purposes. The 2012 draft regulation should be amended to make validation of regulatory dispersion modelling compulsory rather than optional as per the draft.
Books on the topic "Calpuff"
Coulter, C. Thomas. A comparison of CALPUFF with ISC3. Research Triangle Park, N.C: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, 1998.
Find full textCoulter, C. Thomas. A comparison of CALPUFF with ISC3. Research Triangle Park, N.C: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, 1998.
Find full textCoulter, C. Thomas. A comparison of CALPUFF with ISC3. Research Triangle Park, N.C: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, 1998.
Find full textS, Irwin John, United States. Environmental Protection Agency. Emissions, Monitoring, and Analysis Division, Earth Tech (Firm), and Interagency Workgroup on Air Quality Modeling (U.S.), eds. A user's guide for the CALPUFF dispersion model. Research Triangle Park, N.C: The Division, 1995.
Find full textPavanar katavul nampikkaiyum camayac calpum. Cennai: Ulakat Tamilaraycci Niruvanam, 2008.
Find full textBook chapters on the topic "Calpuff"
Scire, Joseph S., David G. Strimaitis, and Mark E. Fernau. "New Developments in the CALPUFF Non-Steady-State Modeling System." In Air Pollution Modeling and Its Application XI, 389–97. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-5841-5_41.
Full textIrwin, John S., Joseph S. Scire, and David G. Strimaitis. "A Comparison of CALPUFF Modeling Results with CAPTEX Field Data Results." In Air Pollution Modeling and Its Application XI, 603–11. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-5841-5_62.
Full textIrwin, John S. "A Comparison of Calpuff Modeling Results With 1977 Inel Field Data Results." In Air Pollution Modeling and Its Application XII, 143–53. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-9128-0_16.
Full textCarizi, G., S. Cinotti, F. Gianfelici, I. Giovannini, A. Levy, and L. Presotto. "Air Pollutant Diffusion In Complex Terrain: An Application Of The Calpuff Modeling Syste." In Air Pollution Modeling and Its Application XIII, 641–49. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4153-0_66.
Full textMak, Jackson, Camille Taylor, Melanie Fillingham, and Jamie McEvoy. "Comparison of the Performance of AERMOD and CALPUFF Dispersion Model Outputs to Monitored Data." In Springer Proceedings in Complexity, 357–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22055-6_57.
Full textde Haan, Peter, Mathias W. Rotach, Joseph S. Scire, and David G. Strimaitis. "Introduction of a Puff-Particle Approach for Near-Source Dispersion into the Calpuff Model." In Air Pollution Modeling and Its Application XIII, 147–55. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4153-0_15.
Full textTomasi, Elena, Lorenzo Giovannini, Marco Falocchi, Dino Zardi, Gianluca Antonacci, Enrico Ferrero, Andrea Bisignano, Stefano Alessandrini, and Luca Mortarini. "Dispersion Modeling Over Complex Terrain in the Bolzano Basin (IT): Preliminary Results from a WRF-CALPUFF Modeling System." In Air Pollution Modeling and its Application XXV, 157–61. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57645-9_25.
Full textShu, Weipeng, Yawei Mao, and Wei Liu. "Assessing the Conservatism in EPZ Determined on Plume Centerline Dose: A CALPUFF-Based Method Used in Level 3 PSA." In Proceedings of The 20th Pacific Basin Nuclear Conference, 691–704. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2314-9_64.
Full text"Calpuff." In Pollution Control Handbook for Oil and Gas Engineering, 203–4. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119117896.ch16.
Full text"CALPUFF AND CALMET." In Air Dispersion Modeling, 514–41. Hoboken, NJ: John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118723098.ch15.
Full textConference papers on the topic "Calpuff"
Yau, K. H., and J. Thé. "A distributed computing solution for CALPUFF." In AIR POLLUTION 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/air070131.
Full textChris G Henry, Steve J Hoff, Larry D Jacobsen, Dennis D Schulte, Peter C D'Abreton, Robin J Ormerod, Geordie G Galvin, and David P Billesbach. "Downwind Odor Predictions from Four Swine Finishing Barns Using CALPUFF." In International Symposium on Air Quality and Waste Management for Agriculture, 16-19 September 2007, Broomfield, Colorado. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.23857.
Full textYongxin Li and Huiqing Guo. "Comparison of Odor Dispersion Predictions between CFD Model and CALPUFF Model." In 2006 Portland, Oregon, July 9-12, 2006. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2006. http://dx.doi.org/10.13031/2013.21120.
Full textWang, Zheng, Xiaofei Shi, Jiao Bai, Xiang Zhou, Gong Cai, Lixin Lu, Hao Fang, and Jiabin Fan. "Optimization of Environmental Monitoring Sites in Shenyang City with WRF/CALPUFF Model." In 2017 International Conference on Computer Systems, Electronics and Control (ICCSEC). IEEE, 2017. http://dx.doi.org/10.1109/iccsec.2017.8446788.
Full textThomas P Curran, Vincent A Dodd, and William L Magette. "Evaluation of ISC3 and CALPUFF Atmospheric Dispersion Models for Odor Nuisance Prediction." In 2007 Minneapolis, Minnesota, June 17-20, 2007. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.23276.
Full textLingjuan Wang, Calvin B. Parnell, Jr., David B. Parker, Ronald E. Lacey, and Bryan W. Shaw. "Determination of Odor Emission Rates from Cattle Feedlots Using CALPUFF and ISCST3 Models." In 2005 Tampa, FL July 17-20, 2005. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2005. http://dx.doi.org/10.13031/2013.19897.
Full textArregocés, H., R. Rojano, G. Restrepo, and L. Angulo. "Using CALPUFF to determine the environmental impact of a coal mine open pit." In AIR POLLUTION 2016. Southampton UK: WIT Press, 2016. http://dx.doi.org/10.2495/air160061.
Full textTrozzi, C., S. Villa, and E. Piscitello. "Use of CALPUFF and CAMx models in regional air quality planning: Italy case studies." In AIR POLLUTION 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/air090021.
Full textChristopher G Henry, Peter C D'Abreton, Robin J Ormerod, Geordie Galvin, Steve J Hoff, Larry D Jacobsen, Dennis D Schulte, and Dave P Billesbach. "Ground Truthing CALPUFF and AERMOD for Odor Dispersion from Swine Barns using Ambient Odor Assessment Techniques." In International Symposium on Air Quality and Manure Management for Agriculture Conference Proceedings, 13-16 September 2010, Dallas, Texas. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2010. http://dx.doi.org/10.13031/2013.32643.
Full textHuertas, Jose´ I., Mauricio Y. Carmona, and Diego Moreno. "Air Dispersion Model to Forecast Pollutant Concentration Around Thermal Power Plants." In ASME 2006 Power Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/power2006-88155.
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