Works matching IS 0921030X AND DT 2022 AND VI 110 AND IP 1
Results: 35
Indicators of community preparedness for fast-onset disasters: a systematic literature review and case study.
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- Natural Hazards, 2022, v. 110, n. 1, p. 787, doi. 10.1007/s11069-021-04970-9
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Integrated smart robot with earthquake early warning system for automated inspection and emergency response.
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- Natural Hazards, 2022, v. 110, n. 1, p. 765, doi. 10.1007/s11069-021-04969-2
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Multivariate analysis for medium- and long-range forecasting of Nile River flow to mitigate drought and flood risks.
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- Natural Hazards, 2022, v. 110, n. 1, p. 741, doi. 10.1007/s11069-021-04968-3
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A review of empirical orthogonal function (EOF) with an emphasis on the co-seismic crustal deformation analysis.
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- Natural Hazards, 2022, v. 110, n. 1, p. 29, doi. 10.1007/s11069-021-04967-4
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Bi-directional coupling of an open-source unstructured triangular meshes-based integrated hydrodynamic model for heterogeneous feature-based urban flood simulation.
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- Natural Hazards, 2022, v. 110, n. 1, p. 719, doi. 10.1007/s11069-021-04966-5
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Integration of Eco-DRR and hybrid defense system on mitigation of natural disasters (Tsunami and Coastal Flooding): a review.
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- Natural Hazards, 2022, v. 110, n. 1, p. 1, doi. 10.1007/s11069-021-04965-6
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Assessment of WRF numerical model forecasts using different lead time initializations during extreme precipitation events over Macaé city, Rio de Janeiro (Brazil).
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- Natural Hazards, 2022, v. 110, n. 1, p. 695, doi. 10.1007/s11069-021-04964-7
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Earthquake-induced landslide prediction using back-propagation type artificial neural network: case study in northern Iran.
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- Natural Hazards, 2022, v. 110, n. 1, p. 679, doi. 10.1007/s11069-021-04963-8
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Climatology of dust storm frequency and its association with temperature and precipitation patterns over Pakistan.
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- Natural Hazards, 2022, v. 110, n. 1, p. 655, doi. 10.1007/s11069-021-04962-9
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Uneven experiences of urban flooding: examining the 2010 Nashville flood.
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- Natural Hazards, 2022, v. 110, n. 1, p. 629, doi. 10.1007/s11069-021-04961-w
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A coupled high-resolution hydrodynamic and cellular automata-based evacuation route planning model for pedestrians in flooding scenarios.
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- Natural Hazards, 2022, v. 110, n. 1, p. 607, doi. 10.1007/s11069-021-04960-x
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Investigation of soil dynamic characteristics at seismic stations using H/V spectral ratio method in Marmara Region, Turkey.
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- Natural Hazards, 2022, v. 110, n. 1, p. 587, doi. 10.1007/s11069-021-04959-4
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A multi-model decision support system (MM-DSS) for avalanche hazard prediction over North-West Himalaya.
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- Natural Hazards, 2022, v. 110, n. 1, p. 563, doi. 10.1007/s11069-021-04958-5
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Geospatial modelling for sub-watershed prioritization in Western Himalayan Basin using morphometric parameters.
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- Natural Hazards, 2022, v. 110, n. 1, p. 545, doi. 10.1007/s11069-021-04957-6
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A simulation study on risks of pedestrian evacuation from flooded staircases of different slopes in the underground space.
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- Natural Hazards, 2022, v. 110, n. 1, p. 519, doi. 10.1007/s11069-021-04956-7
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Modeling the economic impact of incoming tropical cyclones using machine learning.
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- Natural Hazards, 2022, v. 110, n. 1, p. 487, doi. 10.1007/s11069-021-04955-8
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Rockfall susceptibility and runout in the Valley of the Kings.
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- Natural Hazards, 2022, v. 110, n. 1, p. 451, doi. 10.1007/s11069-021-04954-9
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Two-dimensional modeling of flood wave propagation in residential areas after a dam break with application of diffusive and dynamic wave approaches.
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- Natural Hazards, 2022, v. 110, n. 1, p. 429, doi. 10.1007/s11069-021-04953-w
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Comparative study on the "optic-electric" monitoring method for the deformation and failure of surrounding rock in stopes.
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- Natural Hazards, 2022, v. 110, n. 1, p. 407, doi. 10.1007/s11069-021-04952-x
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Technique of local probabilistic tsunami zonation for near-field seismic sources applied to the Bechevinskaya Cove (the Kamchatka Peninsula).
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- Natural Hazards, 2022, v. 110, n. 1, p. 373, doi. 10.1007/s11069-021-04951-y
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Global occurrence models for human and economic losses due to earthquakes (1967–2018) considering exposed GDP and population.
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- Natural Hazards, 2022, v. 110, n. 1, p. 349, doi. 10.1007/s11069-021-04950-z
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Full-scale experimental investigations on the response of a flooded passenger vehicle under subcritical conditions.
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- Natural Hazards, 2022, v. 110, n. 1, p. 325, doi. 10.1007/s11069-021-04949-6
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Modelling the effects of ground vibrations on the surface due to blasting in underground coal mines.
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- Natural Hazards, 2022, v. 110, n. 1, p. 315, doi. 10.1007/s11069-021-04948-7
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Investigation of the role of crown crack in cohesive soil slope and its effect on slope stability based on the extended finite element method.
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- Natural Hazards, 2022, v. 110, n. 1, p. 295, doi. 10.1007/s11069-021-04947-8
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Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region.
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- Natural Hazards, 2022, v. 110, n. 1, p. 269, doi. 10.1007/s11069-021-04946-9
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Spatial–temporal changes in meteorological and agricultural droughts in Northeast China: change patterns, response relationships and causes.
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- Natural Hazards, 2022, v. 110, n. 1, p. 155, doi. 10.1007/s11069-021-04940-1
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Using NARX neural network to forecast droughts and floods over Yangtze River Basin.
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- Natural Hazards, 2022, v. 110, n. 1, p. 225, doi. 10.1007/s11069-021-04944-x
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A provisional climatology of the mesoscale convective systems in the Yucatan Peninsula in summer.
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- Natural Hazards, 2022, v. 110, n. 1, p. 207, doi. 10.1007/s11069-021-04943-y
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Performance of a multi-parameter distribution in the estimation of extreme rainfall in tropical monsoon climate conditions.
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- Natural Hazards, 2022, v. 110, n. 1, p. 191, doi. 10.1007/s11069-021-04942-z
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Does exploring the characteristics of emergency supplies really matter for disaster response operations?
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- Natural Hazards, 2022, v. 110, n. 1, p. 175, doi. 10.1007/s11069-021-04941-0
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Geotechnical zonation and soil–structure interaction at Puerto Vallarta, México.
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- Natural Hazards, 2022, v. 110, n. 1, p. 247, doi. 10.1007/s11069-021-04945-w
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An evaluation of various data pre-processing techniques with machine learning models for water level prediction.
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- Natural Hazards, 2022, v. 110, n. 1, p. 121, doi. 10.1007/s11069-021-04939-8
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The constituent components and local indicator variables of social vulnerability index.
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- Natural Hazards, 2022, v. 110, n. 1, p. 95, doi. 10.1007/s11069-021-04938-9
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Hurst scaling with crossover of a drought indicator: a case study in Belem and Manaus, Brazil.
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- Natural Hazards, 2022, v. 110, n. 1, p. 69, doi. 10.1007/s11069-021-04937-w
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Near-epicenter weather conditions several hours before strong earthquakes (Ms ≥ 6).
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- Natural Hazards, 2022, v. 110, n. 1, p. 57, doi. 10.1007/s11069-021-04907-2
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