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Artykuły w czasopismach na temat "Source term estimation"
Long, Kerrie J., Sue Ellen Haupt i George S. Young. "Assessing sensitivity of source term estimation". Atmospheric Environment 44, nr 12 (kwiecień 2010): 1558–67. http://dx.doi.org/10.1016/j.atmosenv.2010.01.003.
Pełny tekst źródłaGudiksen, P. H., T. F. Harvey i R. Lange. "Chernobyl Source Term, Atmospheric Dispersion, and Dose Estimation". Health Physics 57, nr 5 (listopad 1989): 697–706. http://dx.doi.org/10.1097/00004032-198911000-00001.
Pełny tekst źródłaBushe, W. Kendal, i Helfried Steiner. "Laminar flamelet decomposition for conditional source-term estimation". Physics of Fluids 15, nr 6 (2003): 1564. http://dx.doi.org/10.1063/1.1569483.
Pełny tekst źródłaLoewenthal, Dan, i Vladimir Shtivelman. "Source signature estimation using fictitious source and reflector". GEOPHYSICS 54, nr 7 (lipiec 1989): 916–20. http://dx.doi.org/10.1190/1.1442721.
Pełny tekst źródłaLu, Jinshu, Mengqing Huang, Wenfeng Wu, Yonghui Wei i Chong Liu. "Application and Improvement of the Particle Swarm Optimization Algorithm in Source-Term Estimations for Hazardous Release". Atmosphere 14, nr 7 (19.07.2023): 1168. http://dx.doi.org/10.3390/atmos14071168.
Pełny tekst źródłaJing, Yuanqi, Zhonglin Gu, Fei Li i Kai Zhang. "Gaseous Pollutent Source Term Estimation Based on Adjoint Probability and Regularization Method". E3S Web of Conferences 356 (2022): 05048. http://dx.doi.org/10.1051/e3sconf/202235605048.
Pełny tekst źródłaCheng, Kuang, Xiangyu Zhao, Wang Zhou, Yi Cao, Shuang-Hua Yang i Jianmeng Chen. "Source term estimation with deficient sensors: Traceability and an equivalent source approach". Process Safety and Environmental Protection 152 (sierpień 2021): 131–39. http://dx.doi.org/10.1016/j.psep.2021.05.035.
Pełny tekst źródłaNayak, M. K., T. K. Sahu, H. G. Nair, R. V. Nandedkar, Tapas Bandyopadhyay, R. M. Tripathi, P. R. Hannurkar i D. N. Sharma. "Bremsstrahlung source term estimation for high energy electron accelerators". Radiation Physics and Chemistry 113 (sierpień 2015): 1–5. http://dx.doi.org/10.1016/j.radphyschem.2015.04.004.
Pełny tekst źródłaLi, Hui, Jianwen Zhang i Junkai Yi. "Computational source term estimation of the Gaussian puff dispersion". Soft Computing 23, nr 1 (4.08.2018): 59–75. http://dx.doi.org/10.1007/s00500-018-3440-2.
Pełny tekst źródłaMazzini, Guido, Tadas Kaliatka, Maria Teresa Porfiri, Luigi Antonio Poggi, Andrea Malizia i Pasqualino Gaudio. "Methodology of the source term estimation for DEMO reactor". Fusion Engineering and Design 124 (listopad 2017): 1199–202. http://dx.doi.org/10.1016/j.fusengdes.2017.04.101.
Pełny tekst źródłaRozprawy doktorskie na temat "Source term estimation"
Jin, Bei. "Conditional source-term estimation methods for turbulent reacting flows". Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/232.
Pełny tekst źródłaSalehi, Mohammad Mahdi. "Numerical simulation of turbulent premixed flames with conditional source-term estimation". Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42775.
Pełny tekst źródłaNivarti, Girish Venkata. "Combustion modelling in spark-ignition engines using conditional source-term estimation". Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44838.
Pełny tekst źródłaWang, Mei. "Combustion modeling using conditional source-term estimation with flamelet decomposition and low-dimensional manifolds". Thesis, University of British Columbia, 2006. http://hdl.handle.net/2429/31181.
Pełny tekst źródłaScience, Faculty of
Mathematics, Department of
Graduate
Tobias, Brännvall. "Source Term Estimation in the Atmospheric Boundary Layer : Using the adjoint of the Reynolds Averaged Scalar Transport equation". Thesis, Umeå universitet, Institutionen för fysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-103671.
Pełny tekst źródłaDetta arbete utvärderar hurvida Reynolds medelvärdesmodellering inom flödessimuleringar kan användas till att finna källan till en viss gas baserat på verkliga mätningar ute i fält. Metoden går ut på att använda den adjungerade ekvationen till Reynolds tidsmedlade skalära transportekvationen, beskriven och härledd häri. Då bakåtmodellen bygger på framåtmodellen, måste såleds framåtmodellen utvärderas först. Navier-Stokes ekvationer med en turbulensmodell löses i en domän, innehållandes 4 kuber i en 2x2 orientering, för vilken en hastighetsprofil erhålles. Turbulensmodellen som användes är en union av två olika k-ε modeller, där den ena fångar turbulens runt tröga objekt och den andra som modellerar atmosfäriska gränsskiktet. Detta fält används sedan i framåtmodellen av skalära transportekvationen, som sedan jämförs med körningar från EnFlo windtunneln i Surrey. Slutligen testkörs även den adjungerade ekvationen, både för syntetiskt data genererat i framåtkörningen men även för data från EnFlo tunneln. Då det visade sig att det turbulenta Schmidttalet spelar stor roll inom spridning i det atmosfäriska gränsskiktet, gjordes testkörningar med tre olika Schmidttal, det normala 0.7, det väldigt låga talet 0.3 samt ett höjdberoende Schmidttal. Det visade sig att det vanligtvis använda talet 0.7 inte alls lyckas fånga spridningen tillfredställande och gav ett stort modellfel. Därför löstes den adjungerade ekvationen för 0.3 samt för ett höjdberoende Schmidttal. Interaktionen mellan mätningar, den riktiga källstyrkan (som är okänd i den adjungerade ekvationen) samt källpositionen är onekligen intrikat. Över- samt underestimationer av framåtmodellen kan ta ut varandra i bakåtmodellen för att finna rätt källa, med rätt källstyrka. Det ter sig som Reynolds turbulensmodellering mycket möjligt kan användas inom källtermsuppskattning.
Tsui, Hong P. "Turbulent premixed combustion simulation with Conditional Source-term Estimation and Linear-Eddy Model formulated PDF and SDR models". Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/60295.
Pełny tekst źródłaApplied Science, Faculty of
Mechanical Engineering, Department of
Graduate
Lopez, Ferber Roman. "Approches RBF-FD pour la modélisation de la pollution atmosphérique urbaine et l'estimation de sources". Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALT006.
Pełny tekst źródłaSince the industrial era, cities have been affected by air pollution due to the density of industry, vehicle traffic and the density of combustion heaters. Urban air pollution has health consequences that are of increasing concern to both public authorities and the general public. This pollution can aggravate asthma and cardiovascular problems. The aim of this thesis is to locate and quantify sources of urban pollution using a dense network of noisy measurements. We have chosen to develop methods for estimating pollution sources based on physical models of pollutant dispersion. The estimation of pollution sources is therefore constrained by knowledge of the physics of the dispersion phenomenon. This thesis therefore focuses on the numerical modelling of pollutant dispersion in an urban environment and on the estimation of source terms.Because of the many constraints imposed on pollutant flows by urban buildings, the physics of dispersion is represented by computationally expensive numerical models.We have developed a numerical dispersion model based on the Finite Difference method supported by Radial Basis Functions (RBF-FD). These approaches are known to be computationally frugal and suitable for handling simulation domains with complex geometries. Our RBF-FD model can handle both two-dimensional (2D) and three-dimensional (3D) problems. We compared this model with a 2D analytical model, and qualitatively compared our 3D model with a reference numerical model.Source estimation experiments were then carried out. They consider numerous noisy measurements in order to estimate any source term over the entire simulation domain. The various studies carried out involve twin experiments: we ourselves generate measurements simulated by a numerical model and evaluate the performance of the estimates. After testing a machine-learning approach on a one-dimensional steady-state case, we tested source term estimation methods on three-dimensional steady-state and transient cases, considering geometries without and with the presence of obstacles. We tested estimates using an original adjoint method, then an original estimation method inspired by physics-informed machine learning (PIML) and finally a Kalman filter. The PIML-inspired approach, which is currently being tested in a stationary regime, produces an estimation quality comparable to that of the Kalman filter (where the latter considers a transient dispersion regime with a stationary source). The PIML-inspired approach directly exploits the frugality of the RBF-FD direct computation model, which makes it a promising method for source estimates over large computational domains
Rajaona, Harizo. "Inférence bayésienne adaptative pour la reconstruction de source en dispersion atmosphérique". Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10120/document.
Pełny tekst źródłaIn atmospheric physics, reconstructing a pollution source is a challenging but important question : it provides better input parameters to dispersion models, and gives useful information to first-responder teams in case of an accidental toxic release.Various methods already exist, but using them requires an important amount of computational resources, especially as the accuracy of the dispersion model increases. A minimal degree of precision for these models remains necessary, particularly in urban scenarios where the presence of obstacles and the unstationary meteorology have to be taken into account. One has also to account for all factors of uncertainty, from the observations and for the estimation. The topic of this thesis is the construction of a source term estimation method based on adaptive Bayesian inference and Monte Carlo methods. First, we describe the context of the problem and the existing methods. Next, we go into more details on the Bayesian formulation, focusing on adaptive importance sampling methods, especially on the AMIS algorithm. The third chapter presents an application of the AMIS to an experimental case study, and illustrates the mechanisms behind the estimation process that provides the source parameters’ posterior density. Finally, the fourth chapter underlines an improvement of how the dispersion computations can be processed, thus allowing a considerable gain in computation time, and giving room for using a more complex dispersion model on both rural and urban use cases
Nguyen, Thanh Don. "Impact de la résolution et de la précision de la topographie sur la modélisation de la dynamique d’invasion d’une crue en plaine inondable". Thesis, Toulouse, INPT, 2012. http://www.theses.fr/2012INPT0093/document.
Pełny tekst źródłaWe analyze in this thesis various aspects associated with the modeling of free surface flows in shallow water approximation. We first study the system of Saint-Venant equations in two dimensions and its resolution with the numerical finite volumes method, focusing in particular on aspects hyperbolic and conservative. These schemes can process stationary equilibria, wetdry interfaces and model subcritical, transcritical and supercritical flows. After, we present the variational data assimilation method theory fitted to this kind of flow. Its application through sensitivity studies is fully discussed in the context of free surface water. After this theoretical part, we test the qualification of numerical methods implemented in the code Dassflow, developed at the University of Toulouse, mainly at l'IMT, but also at IMFT. This code solves the Shallow Water equations by finite volume method and is validated by comparison with analytical solutions for standard test cases. These results are compared with another hydraulic free surface flow code using finite elements in two dimensions: Telemac2D. A significant feature of the Dassflow code is to allow variational data assimilation using the adjoint method for calculating the cost function gradient. The adjoint code was obtained using the automatic differentiation tool Tapenade (INRIA). Then, the test is carried on a real hydraulically complex case using different qualities of Digital Elevation Models (DEM) and bathymetry of the river bed. This information are provided by either a conventional database types IGN or a very high resolution LIDAR information. The comparison of the respective influences of bathymetry, mesh size, kind of code used on the dynamics of flooding is very finely explored. Finally we perform sensitivity mapping studies on parameters of the Dassflow model. These maps show the respective influence of different parameters and of the location of virtual measurement points. This optimal location of these points is necessary for an efficient data assimilation in the future
Long, Peter Vincent. "Estimating the long-term health effects associated with health insurance and usual source of care at the population level". Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1779835391&sid=18&Fmt=2&clientId=48051&RQT=309&VName=PQD.
Pełny tekst źródłaKsiążki na temat "Source term estimation"
Sjoreen, A. L. Source term estimation using MENU-TACT. Washington, D. C: Division of Operational Assessment, Office for Analysis and Evaluation of Operational Data, U.S. Nuclear Regulatory Commission, 1987.
Znajdź pełny tekst źródłaOffice, U. S. Nuclear Regulatory Commission Office of Nuclear Regulatory Research Accident Source Term Program. Reassessment of the technical bases for estimating source terms: Draft report for comment. Washington, D.C: Accident Source Term Program Office, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1985.
Znajdź pełny tekst źródłaSource term estimation during incident response to severe nuclear power plant accidents. Washington, DC: Division of Operational Assessment, Office for Analysis and Evaluation of Operational Data, U.S. Nuclear Regulatory Commission, 1988.
Znajdź pełny tekst źródłaReassessment of the technical bases for estimating source terms: Final report. Washington, DC: Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1986.
Znajdź pełny tekst źródłaClough, P. N., i D. Keir. An Appreciation of the Events, Models and Data Used for LMFBR Radiological Source Term Estimations. European Communities / Union (EUR-OP/OOPEC/OPOCE), 1989.
Znajdź pełny tekst źródłaWyss, Max. Earthquake Risk Assessment. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190676889.013.1.
Pełny tekst źródłaWyss, Max. Earthquake Risk Assessment. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190699420.013.1.
Pełny tekst źródłaProcedures for Conducting Probabilistic Safety Assessments of Nuclear Power Plants (Level 2): Accident Progression, Containment Analysis and Estimation of Accident Source Terms (Safety Series: 50-P-8). International Atomic Emergy Agency (IAEA), 1995.
Znajdź pełny tekst źródłaCzęści książek na temat "Source term estimation"
Cervone, Guido, i Pasquale Franzese. "Source Term Estimation for the 2011 Fukushima Nuclear Accident". W Data Mining for Geoinformatics, 49–64. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7669-6_3.
Pełny tekst źródłaLiu, Yang, Matthew Coombes i Cunjia Liu. "Consensus-Based Distributed Source Term Estimation with Particle Filter and Gaussian Mixture Model". W ROBOT2022: Fifth Iberian Robotics Conference, 130–41. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21062-4_11.
Pełny tekst źródłaGarbe, Christoph S., Hagen Spies i Bernd Jähne. "Mixed OLS-TLS for the Estimation of Dynamic Processes with a Linear Source Term". W Lecture Notes in Computer Science, 463–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45783-6_56.
Pełny tekst źródłaNagai, Haruyasu, Genki Katata, Hiroaki Terada i Masamichi Chino. "Source Term Estimation of 131I and 137Cs Discharged from the Fukushima Daiichi Nuclear Power Plant into the Atmosphere". W Radiation Monitoring and Dose Estimation of the Fukushima Nuclear Accident, 155–73. Tokyo: Springer Japan, 2013. http://dx.doi.org/10.1007/978-4-431-54583-5_15.
Pełny tekst źródłaKumar, Amit, Vageesh Shukla, Manoj Kansal i Mukesh Singhal. "PSA Level-2 Study: Estimation of Source Term for Postulated Accidental Release from Indian PHWRs". W Reliability, Safety and Hazard Assessment for Risk-Based Technologies, 15–26. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9008-1_2.
Pełny tekst źródłaPenenko, Vladimir, i Alexander Baklanov. "Methods of Sensitivity Theory and Inverse Modeling for Estimation of Source Term and Risk/Vulnerability Areas". W Computational Science - ICCS 2001, 57–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45718-6_7.
Pełny tekst źródłaSoriguera Martí, Francesc. "Short-Term Prediction of Highway Travel Time Using Multiple Data Sources". W Highway Travel Time Estimation With Data Fusion, 157–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48858-4_6.
Pełny tekst źródłaSrati, M., A. Oulmelk i L. Afraites. "Optimization Method for Estimating the Inverse Source Term in Elliptic Equation". W Springer Proceedings in Mathematics & Statistics, 51–75. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33069-8_5.
Pełny tekst źródłaZavisca, Michael, Heinrich Kahlert, Mohsen Khatib-Rahbar, Elizabeth Grindon i Ming Ang. "A Bayesian Network Approach to Accident Management and Estimation of Source Terms for Emergency Planning". W Probabilistic Safety Assessment and Management, 383–88. London: Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_62.
Pełny tekst źródłaRampazzo, Francesco, Marzia Rango i Ingmar Weber. "New Migration Data: Challenges and Opportunities". W Handbook of Computational Social Science for Policy, 345–59. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16624-2_18.
Pełny tekst źródłaStreszczenia konferencji na temat "Source term estimation"
Robins, P., i P. Thomas. "Non-linear Bayesian CBRN source term estimation". W 2005 7th International Conference on Information Fusion. IEEE, 2005. http://dx.doi.org/10.1109/icif.2005.1591980.
Pełny tekst źródłaChichester, David L., James T. Johnson, Scott M. Watson, Scott J. Thompson, Nick R. Mann i Kevin P. Carney. "Post-blast radiological dispersal device source term estimation". W 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD). IEEE, 2016. http://dx.doi.org/10.1109/nssmic.2016.8069920.
Pełny tekst źródłaRahbar, Faezeh, Ali Marjovi i Alcherio Martinoli. "An Algorithm for Odor Source Localization based on Source Term Estimation". W 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019. http://dx.doi.org/10.1109/icra.2019.8793784.
Pełny tekst źródłaFanfarillo, Alessandro. "Quantifying Uncertainty in Source Term Estimation with Tensorflow Probability". W 2019 IEEE/ACM HPC for Urgent Decision Making (UrgentHPC). IEEE, 2019. http://dx.doi.org/10.1109/urgenthpc49580.2019.00006.
Pełny tekst źródłaWang, Zhi-Pu, i Huai-Ning Wu. "Source Term Estimation with Unknown Number of Sources using Improved Cuckoo Search Algorithm". W 2020 39th Chinese Control Conference (CCC). IEEE, 2020. http://dx.doi.org/10.23919/ccc50068.2020.9189067.
Pełny tekst źródłaHu, Hao, Xinwen Dong, Xinpeng Li, Yuhan Xu, Shuhan Zhuang i Sheng Fang. "Wind Tunnel Validation Study of Joint Estimation Source Term Inversion Method". W ASME 2023 International Conference on Environmental Remediation and Radioactive Waste Management. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/icem2023-110109.
Pełny tekst źródłaMa, Yuanwei, Dezhong Wang, Wenji Tan, Zhilong Ji i Kuo Zhang. "Assessing Sensitivity of Observations in Source Term Estimation for Nuclear Accidents". W 2012 20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/icone20-power2012-54491.
Pełny tekst źródłaRobins, P., V. Rapley i P. Thomas. "Biological Source Term Estimation Using Particle Counters and Immunoassay Sensors". W 2006 9th International Conference on Information Fusion. IEEE, 2006. http://dx.doi.org/10.1109/icif.2006.301723.
Pełny tekst źródłaRahbar, Faezeh, i Alcherio Martinoli. "A Distributed Source Term Estimation Algorithm for Multi-Robot Systems". W 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2020. http://dx.doi.org/10.1109/icra40945.2020.9196959.
Pełny tekst źródła"INVERSE ESTIMATION OF RADIATIVE SOURCE TERM IN TWO-DIMENSIONAL IRREGULAR MEDIA". W RADIATIVE TRANSFER - V. Proceedings of the Fifth International Symposium on Radiative Transfer. Connecticut: Begellhouse, 2007. http://dx.doi.org/10.1615/ichmt.2007.radtransfproc.340.
Pełny tekst źródłaRaporty organizacyjne na temat "Source term estimation"
Brooks, Dusty. Non-Parametric Source Term Uncertainty Estimation. Office of Scientific and Technical Information (OSTI), czerwiec 2020. http://dx.doi.org/10.2172/1763581.
Pełny tekst źródłaMcKenna, T. J., i J. G. Glitter. Source term estimation during incident response to severe nuclear power plant accidents. Office of Scientific and Technical Information (OSTI), październik 1988. http://dx.doi.org/10.2172/6822946.
Pełny tekst źródłaClark, Todd E., Gergely Ganics i Elmar Mertens. Constructing fan charts from the ragged edge of SPF forecasts. Federal Reserve Bank of Cleveland, listopad 2022. http://dx.doi.org/10.26509/frbc-wp-202236.
Pełny tekst źródłaRossi, José Luiz, i João Paulo Madureira Horta da Costa. Shock Dependent Exchange Rate Pass-Through - An Analysis for Latin American Countries. Inter-American Development Bank, wrzesień 2023. http://dx.doi.org/10.18235/0005129.
Pełny tekst źródłaSanders, T. L., H. Jordan, V. Pasupathi, W. J. Mings i P. C. Reardon. A methodology for estimating the residual contamination contribution to the source term in a spent-fuel transport cask. Office of Scientific and Technical Information (OSTI), wrzesień 1991. http://dx.doi.org/10.2172/6373171.
Pełny tekst źródłaFourrier, Marine. Integration of in situ and satellite multi-platform data (estimation of carbon flux for trop. Atlantic). EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d7.6.
Pełny tekst źródłaHertel, Thomas, David Hummels, Maros Ivanic i Roman Keeney. How Confident Can We Be in CGE-Based Assessments of Free Trade Agreements? GTAP Working Paper, czerwiec 2003. http://dx.doi.org/10.21642/gtap.wp26.
Pełny tekst źródłaRoa, Julio, Joseph Oldham i Marina Lima. Recognizing the Potential to Reduce GHG Emissions Through Air Transportation Electrification. Mineta Transportation Institute, lipiec 2023. http://dx.doi.org/10.31979/mti.2023.2223.
Pełny tekst źródłaMenéses-González, María Fernanda, Angélica María Lizarazo-Cuéllar, Diego Cuesta-Mora i Daniel Esteban Osorio-Ramírez. Financial Development and Monetary Policy Transmission. Banco de la República Colombia, listopad 2022. http://dx.doi.org/10.32468/be.1219.
Pełny tekst źródłaDasberg, Shmuel, Jan W. Hopmans, Larry J. Schwankl i Dani Or. Drip Irrigation Management by TDR Monitoring of Soil Water and Solute Distribution. United States Department of Agriculture, sierpień 1993. http://dx.doi.org/10.32747/1993.7568095.bard.
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