Auswahl der wissenschaftlichen Literatur zum Thema „Risk terrain modelling“
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Zeitschriftenartikel zum Thema "Risk terrain modelling":
Tsakiris, G. „Flood risk assessment: concepts, modelling, applications“. Natural Hazards and Earth System Sciences 14, Nr. 5 (28.05.2014): 1361–69. http://dx.doi.org/10.5194/nhess-14-1361-2014.
Tsakiris, G. „Flood risk assessment: concepts, modelling, applications“. Natural Hazards and Earth System Sciences Discussions 2, Nr. 1 (14.01.2014): 261–86. http://dx.doi.org/10.5194/nhessd-2-261-2014.
Done, James M., Ming Ge, Greg J. Holland, Ioana Dima-West, Samuel Phibbs, Geoffrey R. Saville und Yuqing Wang. „Modelling global tropical cyclone wind footprints“. Natural Hazards and Earth System Sciences 20, Nr. 2 (25.02.2020): 567–80. http://dx.doi.org/10.5194/nhess-20-567-2020.
Liu, Jiahong, Zejin Li, Weiwei Shao, Dianyi Yan und Chao Mei. „Urban flood modelling in Qiqihar city based on MIKE flood“. Proceedings of the International Association of Hydrological Sciences 383 (16.09.2020): 185–92. http://dx.doi.org/10.5194/piahs-383-185-2020.
Simon, Thorsten, Nikolaus Umlauf, Achim Zeileis, Georg J. Mayr, Wolfgang Schulz und Gerhard Diendorfer. „Spatio-temporal modelling of lightning climatologies for complex terrain“. Natural Hazards and Earth System Sciences 17, Nr. 3 (06.03.2017): 305–14. http://dx.doi.org/10.5194/nhess-17-305-2017.
Folch, Arnau, Jordi Barcons, Tomofumi Kozono und Antonio Costa. „High-resolution modelling of atmospheric dispersion of dense gas using TWODEE-2.1: application to the 1986 Lake Nyos limnic eruption“. Natural Hazards and Earth System Sciences 17, Nr. 6 (13.06.2017): 861–79. http://dx.doi.org/10.5194/nhess-17-861-2017.
Sharples, J. J., R. H. D. McRae und R. O. Weber. „Wind characteristics over complex terrain with implications for bushfire risk management“. Environmental Modelling & Software 25, Nr. 10 (Oktober 2010): 1099–120. http://dx.doi.org/10.1016/j.envsoft.2010.03.016.
Drawve, Grant, Stacy C. Moak und Emily R. Berthelot. „Predictability of gun crimes: a comparison of hot spot and risk terrain modelling techniques“. Policing and Society 26, Nr. 3 (05.08.2014): 312–31. http://dx.doi.org/10.1080/10439463.2014.942851.
Sanders, R., F. Shaw, H. MacKay, H. Galy und M. Foote. „National flood modelling for insurance purposes: using IFSAR for flood risk estimation in Europe“. Hydrology and Earth System Sciences 9, Nr. 4 (07.10.2005): 449–56. http://dx.doi.org/10.5194/hess-9-449-2005.
Singh, Gagandeep, Vishwa Bandhu Singh Chandel und Simrit Kahlon. „Flood Hazard Modelling in Upper Mandakini Basin of Uttarakhand“. Current World Environment 16, Nr. 3 (31.12.2021): 880–89. http://dx.doi.org/10.12944/cwe.16.3.18.
Dissertationen zum Thema "Risk terrain modelling":
DUGATO, MARCO. „L'INTERAZIONE TRA LE CARATTERISTICHE DEI QUARTIERI E L'AMBIENTE FISICO NELLA DETERMINAZIONE DELLA VULNERABILITÀ AL CRIMINE NEI MICROLUOGHI. PROVE EMPIRICHE DA UNA VALUTAZIONE SPAZIALE MULTILIVELLO DEL RISCHIO DI CRIMINALITÀ A MILANO, IT E IZTAPALAPA, MX“. Doctoral thesis, Università Cattolica del Sacro Cuore, 2021. http://hdl.handle.net/10280/98602.
Several theories focus on the links between crime and specific characteristics of places and communities. However, only a few applied studies explicitly purport that contextual factors may combine in determining crime risk and that their criminogenic influences may operate at different geographical scales. This study aims to investigate how certain features of the urban landscape (micro-level) interact with each other, as well as with demographic, economic and social characteristics of the surrounding neighbourhoods (meso-level), to determine spatial vulnerability to crime and, ultimately, the likelihood of a criminal event. This study conducts a spatial crime risk assessment for robberies and violent crimes in two large urban areas: Milan, Italy and Iztapalapa, Mexico. The case studies are focused on two very different countries, which allows for both the assessment of the influence of broader contextual effects (macro-level) and to test certain theoretical assumptions outside the Anglo-Saxon environment. The analysis is grounded in the Risk Terrain Modeling approach. However, in contrast to previous applications, the analysis in this study relies on a multi-level regression model including interaction terms. The study also proposes innovative methods through which to display and communicate its findings. Overall, the results demonstrate that contextual factors measured at different geographical scales interact significantly among them to determine crime risk. This finding suggests combining inputs from different theories in order to understand the dynamics behind crime occurrence. Furthermore, the proposed method generally allows us to better predict the locations of future crimes and enables the generation of more precise risk narratives to inform policies and interventions.
DUGATO, MARCO. „L'INTERAZIONE TRA LE CARATTERISTICHE DEI QUARTIERI E L'AMBIENTE FISICO NELLA DETERMINAZIONE DELLA VULNERABILITÀ AL CRIMINE NEI MICROLUOGHI. PROVE EMPIRICHE DA UNA VALUTAZIONE SPAZIALE MULTILIVELLO DEL RISCHIO DI CRIMINALITÀ A MILANO, IT E IZTAPALAPA, MX“. Doctoral thesis, Università Cattolica del Sacro Cuore, 2021. http://hdl.handle.net/10280/98602.
Several theories focus on the links between crime and specific characteristics of places and communities. However, only a few applied studies explicitly purport that contextual factors may combine in determining crime risk and that their criminogenic influences may operate at different geographical scales. This study aims to investigate how certain features of the urban landscape (micro-level) interact with each other, as well as with demographic, economic and social characteristics of the surrounding neighbourhoods (meso-level), to determine spatial vulnerability to crime and, ultimately, the likelihood of a criminal event. This study conducts a spatial crime risk assessment for robberies and violent crimes in two large urban areas: Milan, Italy and Iztapalapa, Mexico. The case studies are focused on two very different countries, which allows for both the assessment of the influence of broader contextual effects (macro-level) and to test certain theoretical assumptions outside the Anglo-Saxon environment. The analysis is grounded in the Risk Terrain Modeling approach. However, in contrast to previous applications, the analysis in this study relies on a multi-level regression model including interaction terms. The study also proposes innovative methods through which to display and communicate its findings. Overall, the results demonstrate that contextual factors measured at different geographical scales interact significantly among them to determine crime risk. This finding suggests combining inputs from different theories in order to understand the dynamics behind crime occurrence. Furthermore, the proposed method generally allows us to better predict the locations of future crimes and enables the generation of more precise risk narratives to inform policies and interventions.
NICODEMO, GIUSEPPE. „Exposure modelling and loss estimation for seismic risk assessment of residential buildings: innovative methods and applications“. Doctoral thesis, Università degli studi della Basilicata, 2021. http://hdl.handle.net/11563/146804.
VERTICCHIO, ELENA. „An integrated approach for the climate-induced risk assessment within historic libraries combining microclimate data and modelling“. Doctoral thesis, 2022. http://hdl.handle.net/11573/1619403.
DESIDERI, Francesco Saverio. „Measurement and estimation of seismic attenuation for near-surface site characterization“. Doctoral thesis, 2020. http://hdl.handle.net/11573/1364692.
Bücher zum Thema "Risk terrain modelling":
Kulak, Dariusz. Wieloaspektowa metoda oceny stanu gleb leśnych po przeprowadzeniu procesów pozyskania drewna. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-28-1.
Buchteile zum Thema "Risk terrain modelling":
Di Benedetto, Alessandro, und Margherita Fiani. „Integration of LiDAR Data into a Regional Topographic Database for the Generation of a 3D City Model“. In Geomatics for Green and Digital Transition, 193–208. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17439-1_14.
Chattoraj, Shovan L. „Debris Flow Modelling and Risk Assessment of Selected Landslides from Uttarakhand- Case Studies using Earth Observation Data“. In Advances in Geospatial Technologies, 111–21. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1814-3.ch006.
Wang, Qing, Matthias Ihme, Yi-fan Chen, Vivian Yang, Fei Sha und John Anderson. „Towards real-time predictions of large-scale wildfire scenarios using a fully coupled atmosphere-fire physical modelling framework“. In Advances in Forest Fire Research 2022, 415–21. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_67.
Karzar-Jeddi, Mehdi. „An Equivalent Fuel Model for Wildland Urban Interface – Application to Risk Management“. In Advances in Forest Fire Research 2022, 509–11. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_79.
Fiorini, Cesare, Hélder D. Craveiro, Aldina Santiago, Luís Laim und Luís Simões da Silva. „Microscale fire modelling at the Wildland-Urban Interface“. In Advances in Forest Fire Research 2022, 689–94. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_105.
Konferenzberichte zum Thema "Risk terrain modelling":
Ponziani, Fabio Alaimo. „Water-Based Shields Deployment on Terrain during Wildfire Spread: A Modelling Approach Using Distributed Information through Autonomous Agents“. In The Third International Conference on Fire Behavior and Risk. Basel Switzerland: MDPI, 2022. http://dx.doi.org/10.3390/environsciproc2022017083.
Stephens, Mark, Howard Yue, Ann Halford und Niall Foster. „Onshore Pipeline Safety Consequence Modelling in Support of the Development of a Risk-Based Safety Class System“. In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87217.
Kalbarczyk-Jedynak, Agnieszka. „MODELLING OF EXPLOSION RISK AREAS IN A FUNCTION OF TERRAIN TOPOGRAPHY, WEATHER CONDITIONS AND CHEMICAL COMPOSITION FOR A GAS MIXTURE OF PROPANE-BUTANE TYPE“. In 18th International Multidisciplinary Scientific GeoConference SGEM2018. Stef92 Technology, 2018. http://dx.doi.org/10.5593/sgem2018/1.4/s06.079.
Kuznetsova, Olga, Olga Kuznetsova, Yana Saprykina, Yana Saprykina, Boris Divinsky und Boris Divinsky. „UNDERWATER BARRED BEACH PROFILE TRANSFORMATION UNDER DIFFERENT WAVES CONDITIONS“. In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b940242aba7.92673837.
Kuznetsova, Olga, Olga Kuznetsova, Yana Saprykina, Yana Saprykina, Boris Divinsky und Boris Divinsky. „UNDERWATER BARRED BEACH PROFILE TRANSFORMATION UNDER DIFFERENT WAVES CONDITIONS“. In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b4315f60698.
Korzinin, Dmitry, Dmitry Korzinin, Igor Leontiev und Igor Leontiev. „SOME FEATURES OF THE EQUILIBRIUM COASTAL PROFILE FOR DIFFERENT INITIAL BED SLOPES BASED ON MODELLING STUDY“. In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b93fd2e0c53.97891311.
Korzinin, Dmitry, Dmitry Korzinin, Igor Leontiev und Igor Leontiev. „SOME FEATURES OF THE EQUILIBRIUM COASTAL PROFILE FOR DIFFERENT INITIAL BED SLOPES BASED ON MODELLING STUDY“. In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b431567f89c.
Witte, Jan, Daniel Trümpy, Jürgen Meßner und Hans Georg Babies. „Petroleum Potential of Rift Basins in Northern Somalia – A Fresh Look“. In SPE/AAPG Africa Energy and Technology Conference. SPE, 2016. http://dx.doi.org/10.2118/afrc-2573746-ms.
Wang, Yunxiao Nick, Emil Maschner und Colin McKinnon. „Pipeline Walking Interaction With Buckle Formations Along Routes With Significant Seabed Features“. In ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/omae2012-83359.
Berichte der Organisationen zum Thema "Risk terrain modelling":
Aalto, Juha, und Ari Venäläinen, Hrsg. Climate change and forest management affect forest fire risk in Fennoscandia. Finnish Meteorological Institute, Juni 2021. http://dx.doi.org/10.35614/isbn.9789523361355.
Davies, Will. Improving the engagement of UK armed forces overseas. Royal Institute of International Affairs, Januar 2022. http://dx.doi.org/10.55317/9781784135010.