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Artykuły w czasopismach na temat "Volcanic activity prediction"
Wyman, Teresa M. "Prediction of Seismic and Volcanic Activity". Science & Technology Libraries 8, nr 3 (29.11.1988): 55–83. http://dx.doi.org/10.1300/j122v08n03_08.
Pełny tekst źródłaIguchi, Masato, Surono, Takeshi Nishimura, Muhamad Hendrasto, Umar Rosadi, Takahiro Ohkura, Hetty Triastuty i in. "Methods for Eruption Prediction and Hazard Evaluation at Indonesian Volcanoes". Journal of Disaster Research 7, nr 1 (1.01.2012): 26–36. http://dx.doi.org/10.20965/jdr.2012.p0026.
Pełny tekst źródłaRummel, Lisa, Alexander Bartels i Franz May. "Using a multi-criteria approach for a regional differentiation of the likelihood of future volcanic activity in Germany". Safety of Nuclear Waste Disposal 2 (6.09.2023): 143. http://dx.doi.org/10.5194/sand-2-143-2023.
Pełny tekst źródłaShiogama, Hideo, Seita Emori, Takashi Mochizuki, Sayaka Yasunaka, Tokuta Yokohata, Masayoshi Ishii, Toru Nozawa i Masahide Kimoto. "Possible Influence of Volcanic Activity on the Decadal Potential Predictability of the Natural Variability in Near-Term Climate Predictions". Advances in Meteorology 2010 (2010): 1–7. http://dx.doi.org/10.1155/2010/657318.
Pełny tekst źródłaScharrer, K., R. Malservisi, Ch Mayer, O. Spieler i U. Münzer. "Combination of SAR remote sensing and GIS for monitoring subglacial volcanic activity – recent results from Vatnajökull ice cap (Iceland)". Natural Hazards and Earth System Sciences 7, nr 6 (27.11.2007): 717–22. http://dx.doi.org/10.5194/nhess-7-717-2007.
Pełny tekst źródłaGerman, Josephine D., Anak Agung Ngurah Perwira Redi, Ardvin Kester S. Ong, Yogi Tri Prasetyo i Vince Louis M. Sumera. "Predicting Factors Affecting Preparedness of Volcanic Eruption for a Sustainable Community: A Case Study in the Philippines". Sustainability 14, nr 18 (9.09.2022): 11329. http://dx.doi.org/10.3390/su141811329.
Pełny tekst źródłaDryukova, E. D., G. M. Nerobelov, M. S. Sedeeva, A. V. Kiselev, A. G. Mahura i V. I. Gorny. "Integration of Satellite Monitoring and Mathematical Modeling in the Analysis of the Nature of Elevated Sulfur Dioxide Concentrations in the Surface Air of the Northern Part of Finland". Известия Российской академии наук. Физика атмосферы и океана 59, nr 4 (1.07.2023): 450–60. http://dx.doi.org/10.31857/s0002351523040041.
Pełny tekst źródłaSenyukov, S. L. "Monitoring and prediction of volcanic activity in Kamchatka from seismological data: 2000–2010". Journal of Volcanology and Seismology 7, nr 1 (luty 2013): 86–97. http://dx.doi.org/10.1134/s0742046313010077.
Pełny tekst źródłaGuemas, Virginie, Susanna Corti, J. García-Serrano, F. J. Doblas-Reyes, Magdalena Balmaseda i Linus Magnusson. "The Indian Ocean: The Region of Highest Skill Worldwide in Decadal Climate Prediction*". Journal of Climate 26, nr 3 (1.02.2013): 726–39. http://dx.doi.org/10.1175/jcli-d-12-00049.1.
Pełny tekst źródłaLombardo, Valerio, Stefano Corradini, Massimo Musacchio, Malvina Silvestri i Jacopo Taddeucci. "Eruptive Styles Recognition Using High Temporal Resolution Geostationary Infrared Satellite Data". Remote Sensing 11, nr 6 (19.03.2019): 669. http://dx.doi.org/10.3390/rs11060669.
Pełny tekst źródłaRozprawy doktorskie na temat "Volcanic activity prediction"
Roman, Diana Christine. "Changes in local stress field orientation in response to magmatic activity /". view abstract or download file of text, 2004. http://wwwlib.umi.com/cr/uoregon/fullcit?p3136443.
Pełny tekst źródłaDoherty, Angela Louise. "Blue-sky eruptions, do they exist? : implications for monitoring New Zealand's volcanoes". Thesis, University of Canterbury. Geological Sciences, 2009. http://hdl.handle.net/10092/2855.
Pełny tekst źródłaMiggins, Daniel Paul. "Temporal and geochemical insights related to volcanic and plutonic activity within Big Bend National Park, Texas". To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Pełny tekst źródłaJanssen, Volker Surveying & Spatial Information Systems Faculty of Engineering UNSW. "A mixed-mode GPS network processing approach for volcano deformation monitoring". Awarded by:University of New South Wales. School of Surveying and Spatial Information Systems, 2003. http://handle.unsw.edu.au/1959.4/20771.
Pełny tekst źródłaBoué, Anaïs. "Data mining and volcanic eruption forcasting". Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAU007/document.
Pełny tekst źródłaEruption forecasting methods are valuable tools for supporting decision making during volcanic crises if they are integrated in a global monitoring strategy and if their potentiality and limitations are known. Many attempts for deterministic forecasting of volcanic eruptions and landslides have been performed using the material Failure Forecast Method (FFM). This method consists in adjusting an empirical power law on precursory patterns of seismicity or deformation. Until now, most of the studies have presented hindsight forecasts, based on complete time series of precursors, and do not evaluate the method's potential for carrying out real-time forecasting with partial precursory sequences. Moreover, the limited number of published examples and the absence of systematic application of the FFM makes it difficult to conclude as to the ability of the method to forecast volcanic eruptions. Thus it appears important to gain experience by carrying out systematic forecasting attempts in various eruptive contexts. In this thesis, I present a rigorous approach of the FFM designed for real-time applications on volcano-seismic precursors. I use a Bayesian approach based on the FFM theory and an automatic classification of the seismic events that do not have the same source mechanisms. The probability distributions of the data deduced from the performance of the classification are used as input. As output, the method provides the probability of the forecast time at each observation time before the eruption. The spread of the posterior probability density function of the prediction time and its stability with respect to the observation time are used as criteria to evaluate the reliability of the forecast. I show that the method developed here outperforms the classical application of the FFM both for hindsight and real-time attempts because it accurately takes the uncertainty of the data information into account. The automatic classification of volcano-seismic signals allows for a systematic application of this forecasting method to decades of seismic data from andesitic volcanoes including Volcan de Colima (Mexico) and Merapi volcano (Indonesia), and from the basaltic volcano of Piton de la Fournaise (Reunion Island, France). The number of eruptions that are not preceded by precursors is quantified, as well as the number of seismic crises that are not followed by eruptions. Then, I use 64 precursory sequences and apply the forecasting method developed in this thesis. I thus determine in which conditions the FFM can be successfully applied and I quantify the success rate of the method in real-time and in hindsight. Only 62% of the precursory sequences analysed in this thesis were suitable for the application of FFM and half of the total number of eruptions are successfully forecast in hindsight. In real-time, the method allows for the successful predictions of only 36% of the total of all eruptions considered. Nevertheless, real-time predictions are successful for 83% of the cases that fulfil the reliability criteria. Therefore, we can have a good confidence on the method when the reliability criteria are met, but the deterministic real-time forecasting tool developed in this thesis is not sufficient in itself. However, it could potentially be informative combined with other forecasting methods and supervised by an observer. These results reflect the lack of knowledge concerning the pre-eruptive mechanisms
Janssen, Volker. "A mixed-mode GPS network processing approach for volcano deformation monitoring /". 2003. http://www.library.unsw.edu.au/~thesis/adt-NUN/public/adt-NUN20031219.104708/index.html.
Pełny tekst źródłaGranger, Kenneth John. "The Rabaul volcanoes : an application of geographical information systems to crisis management". Master's thesis, 1988. http://hdl.handle.net/1885/140922.
Pełny tekst źródłaLim, Leng Leng. "Modelling of volcanic ashfall : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Mathematics at Massey University, Albany, New Zealand". 2006. http://hdl.handle.net/10179/1472.
Pełny tekst źródłaKsiążki na temat "Volcanic activity prediction"
Tazieff, Haroun. Le volcanisme et sa prévention. Paris: Masson, 1990.
Znajdź pełny tekst źródłaVogt, Gregory. Predicting volcanic eruptions. New York: F. Watts, 1989.
Znajdź pełny tekst źródłaWolfe, Edward W. Volcanic-hazard zonation for Mount St. Helens, Washington, 1995. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Znajdź pełny tekst źródłaWolfe, Edward W. Volcanic-hazard zonation for Mount St. Helens, Washington, 1995. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Znajdź pełny tekst źródłaWolfe, Edward W. Volcanic-hazard zonation for Mount St. Helens, Washington, 1995. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Znajdź pełny tekst źródłaWolfe, Edward W. Volcanic-hazard zonation for Mount St. Helens, Washington, 1995. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Znajdź pełny tekst źródłaWolfe, Edward W. Volcanic-hazard zonation for Mount St. Helens, Washington, 1995. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Znajdź pełny tekst źródłaWolfe, Edward W. Volcanic-hazard zonation for Mount St. Helens, Washington, 1995. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Znajdź pełny tekst źródłaWolfe, Edward W. Volcanic-hazard zonation for Mount St. Helens, Washington, 1995. [Menlo Park, CA]: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Znajdź pełny tekst źródłaWolfe, Edward W. Volcanic-hazard zonation for Mount St. Helens, Washington, 1995. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Znajdź pełny tekst źródłaCzęści książek na temat "Volcanic activity prediction"
Chester, David, Angus Duncan, Rui Coutinho i Nicolau Wallenstein. "Evaluation and prediction of hazards". W Earthquakes and Volcanic Activity on Islands, 136–67. London: Routledge, 2021. http://dx.doi.org/10.4324/9780429028007-4.
Pełny tekst źródłaSparks, R. S. J., i W. P. Aspinall. "Volcanic activity: Frontiers and challenges in forecasting, prediction and risk assessment". W Geophysical Monograph Series, 359–73. Washington, D. C.: American Geophysical Union, 2004. http://dx.doi.org/10.1029/150gm28.
Pełny tekst źródłaMelekestsev, I. V., O. A. Braitseva i V. V. Ponomareva. "Prediction of Volcanic Hazards on the Basis of the Study of Dynamics of Volcanic Activity, Kamchatka". W IAVCEI Proceedings in Volcanology, 10–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73759-6_2.
Pełny tekst źródła"Chapter 14 Seismic monitoring of volcanic activity and prediction of volcanic eruptions". W Introduction to Volcanic Seismology, 235–52. Elsevier, 2003. http://dx.doi.org/10.1016/s1871-644x(03)80214-0.
Pełny tekst źródłaShkuratskyy, Viacheslav, Aminu Bello Usman i Michael S. O'Dea. "The Application of Machine Learning for Predicting Global Seismicity". W Handbook of Research on AI Methods and Applications in Computer Engineering, 222–52. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6937-8.ch011.
Pełny tekst źródłaRothery, David A. "Dead Worlds". W Satellites of the Outer Planets, 63–98. Oxford University PressNew York, NY, 1999. http://dx.doi.org/10.1093/oso/9780195125559.003.0005.
Pełny tekst źródłaAkbar Firoozi, Ali, i Ali Asghar Firoozi. "Non-seismic and Complex Source Tsunami: Unseen Hazard". W Earthquake Ground Motion [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1002308.
Pełny tekst źródłaStreszczenia konferencji na temat "Volcanic activity prediction"
Hanamuro, Takahiro, Ken-Ichi Yasue, Yoko Saito-Kokubu, Koichi Asamori, Tsuneari Ishimaru i Koji Umeda. "Current R & D Activities in the Study on Geosphere Stability". W ASME 2010 13th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2010. http://dx.doi.org/10.1115/icem2010-40018.
Pełny tekst źródłaMarchese, Francesco, Carolina Filizzola, Giuseppe Mazzeo, Rossana Paciello, Nicola Pergola i Valerio Tramutoli. "Robust satellite techniques for thermal volcanic activity monitoring, early warning and possible prediction of new eruptive events". W 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5418258.
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