Works matching IS 0921030X AND DT 2024 AND VI 120 AND IP 2
Results: 45
Geo-hydrological disasters in the Uttarakhand Himalaya: assessment and mapping.
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- Natural Hazards, 2024, v. 120, n. 2, p. 2091, doi. 10.1007/s11069-023-06287-1
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Intensifying heatwave trends in Iran based on observational data using excess heat factor (EHF).
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- Natural Hazards, 2024, v. 120, n. 2, p. 2073, doi. 10.1007/s11069-023-06281-7
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A precipitation downscaling framework for regional warning of debris flows in mountainous areas.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1979, doi. 10.1007/s11069-023-06279-1
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Predicting the velocity and trajectory of a rockfall after collision considering the effects of slope properties.
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- Natural Hazards, 2024, v. 120, n. 2, p. 2057, doi. 10.1007/s11069-023-06278-2
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Differences in the earthquake preparedness of low- and high-income countries: the cases of Shizuoka prefecture, Japan, and the four provinces in Panay, Philippines.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1951, doi. 10.1007/s11069-023-06276-4
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Prediction of factor of safety of slopes using stochastically modified ANN and classical methods: a rigorous statistical model selection approach.
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- Natural Hazards, 2024, v. 120, n. 2, p. 2035, doi. 10.1007/s11069-023-06275-5
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QuickAware: a virtual reality tool for quick clay landslide hazard awareness.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1869, doi. 10.1007/s11069-023-06274-6
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Medical rescue team's experiences in disaster response to individuals with special needs: The case of Türkiye.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1841, doi. 10.1007/s11069-023-06273-7
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Investigating accessibility resilience of emergency and lifesaving facilities under natural hazards.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1785, doi. 10.1007/s11069-023-06272-8
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Assessment of emergency gathering points and temporary shelter areas for disaster resilience in Elazıg, Turkey.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1925, doi. 10.1007/s11069-023-06271-9
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Variation characteristics of dust in the Taklimakan Desert.
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- Natural Hazards, 2024, v. 120, n. 2, p. 2129, doi. 10.1007/s11069-023-06269-3
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Joint disaster relief: the Chinese civilian rescue teams' response to the 2021 Henan flood.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1755, doi. 10.1007/s11069-023-06268-4
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Experimental investigation of the thermal usability of outdoor environments in rideability, walkability, entertainmentability, exercisability and workability for urban heat mitigation, adaptation and governance.
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- Natural Hazards, 2024, v. 120, n. 2, p. 2005, doi. 10.1007/s11069-023-06266-6
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Constructing a cross-field scenario system to aware systemic risk: national security as an example.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1899, doi. 10.1007/s11069-023-06265-7
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Synoptic analysis and simulation of a widespread dust event in the Urmia Basin.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1689, doi. 10.1007/s11069-023-06263-9
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A comprehensive study on the synchronized outgoing longwave radiation and relative humidity anomalies related to global Mw ≥ 6.5 earthquakes.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1421, doi. 10.1007/s11069-023-06262-w
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Hazard experiences, concerns and responses in coastal municipalities and communities: insights from Nova Scotia, Canada.
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- Natural Hazards, 2024, v. 120, n. 2, p. 2111, doi. 10.1007/s11069-023-06261-x
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Integrated deep learning with explainable artificial intelligence for enhanced landslide management.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1343, doi. 10.1007/s11069-023-06260-y
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Country-scale assessment of urban areas, population, and households exposed to land subsidence using Sentinel-1 InSAR, and GPS time series.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1577, doi. 10.1007/s11069-023-06259-5
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A new framework to spatial and temporal drought analysis for 1990–2020 period with Mann–Kendall and innovative trend analysis methods in Turkey.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1463, doi. 10.1007/s11069-023-06258-6
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Peak ground acceleration prediction using supervised machine learning algorithm for the seismically hazardous Kachchh rift zone, Gujarat, India.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1821, doi. 10.1007/s11069-023-06257-7
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Multi-actor cooperation for emergency supply support: a simulation of behavior diffusion based on social networks.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1241, doi. 10.1007/s11069-023-06256-8
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An analysis of the barriers to using climate information services to build a resilient agricultural system in Iran.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1395, doi. 10.1007/s11069-023-06255-9
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Establishing the landslide-triggering rainfall thresholds for the Kashmir Himalaya.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1319, doi. 10.1007/s11069-023-06254-w
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Multiscale evaluation of the structural characteristics of intact loess subjected to wet/dry cycles.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1215, doi. 10.1007/s11069-023-06253-x
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Model selection for prediction of strong ground motion peaks in Türkiye.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1443, doi. 10.1007/s11069-023-06252-y
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Identification and prioritization of multidimensional resilience factors for incorporation in coastal state transportation infrastructure planning.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1603, doi. 10.1007/s11069-023-06251-z
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Environmental controls on lifeguard-estimated surf-zone hazards, beach crowds, and resulting life risk at a high-energy sandy beach in southwest France.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1557, doi. 10.1007/s11069-023-06250-0
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Hierarchical and networked analysis of resilience factors in mountain communities in Southwest China.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1519, doi. 10.1007/s11069-023-06249-7
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Mixed coastal forests are less vulnerable to tsunami impacts than monoculture forests.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1101, doi. 10.1007/s11069-023-06248-8
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Classifying and bounding geomagnetic storms based on the SYM-H and ASY-H indices.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1141, doi. 10.1007/s11069-023-06241-1
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A saturated stochastic simulator: synthetic US Gulf coast tropical cyclone precipitation fields.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1295, doi. 10.1007/s11069-023-06245-x
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Influence of maximum water level and coastal inundation on the east coast of India based on future tropical cyclones.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1263, doi. 10.1007/s11069-023-06244-y
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A multidisciplinary approach to investigate active and new tectonic effects on landslides spatial distributions: case study in the Pre-Rif Ridges morphostructural unit.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1071, doi. 10.1007/s11069-023-06243-z
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Winter drought monitoring using standard precipitation index over Nepal.
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- Natural Hazards, 2024, v. 120, n. 2, p. 975, doi. 10.1007/s11069-023-06242-0
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Multiscale analysis of coastal social vulnerability to extreme events in Brazil.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1163, doi. 10.1007/s11069-023-06246-w
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Statistical analysis of the landslides triggered by the 2021 SW Chelgard earthquake (M<sub>L</sub> = 6) using an automatic linear regression (LINEAR) and artificial neural network (ANN) model based on controlling parameters.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1041, doi. 10.1007/s11069-023-06240-2
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Flood risk mapping using multi-criteria analysis (MCA) through AHP method case of El-Ham wadi watershed of Hodna basin (Algeria).
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- Natural Hazards, 2024, v. 120, n. 2, p. 1023, doi. 10.1007/s11069-023-06239-9
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Discovery of spatial climate parameters and bioclimatic comfort change simulation in Türkiye under socioeconomic pathway scenarios: A basin-scale case study for urban environments.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1809, doi. 10.1007/s11069-023-06237-x
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Decision-making study on risk evaluation of earth and rock dams based on ANP unascertained measurement theory.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1715, doi. 10.1007/s11069-023-06236-y
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Assessing landslide susceptibility using improved machine learning methods and considering spatial heterogeneity for the Three Gorges Reservoir Area, China.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1113, doi. 10.1007/s11069-023-06235-z
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ML-DPIE: comparative evaluation of machine learning methods for drought parameter index estimation: a case study of Türkiye.
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- Natural Hazards, 2024, v. 120, n. 2, p. 989, doi. 10.1007/s11069-023-06233-1
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Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1367, doi. 10.1007/s11069-023-06232-2
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Storm surge prediction improvement using high resolution meso-scale model products over the Bay of Bengal.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1185, doi. 10.1007/s11069-023-06160-1
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An optimized model based on the gene expression programming method to estimate safety factor of rock slopes.
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- Natural Hazards, 2024, v. 120, n. 2, p. 1665, doi. 10.1007/s11069-023-06152-1
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