Selection of a basin-scale model for flood frequency analysis in Mahanadi river basin, India.
- Published in:
- Natural Hazards, 2020, v. 102, n. 1, p. 519, doi. 10.1007/s11069-020-03936-7
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- Publication type:
- Article
Works matching IS 0921030X AND DT 2020 AND VI 102 AND IP 1
Results: 22
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Regional flood frequency analysis: evaluation of regions in cluster space using support vector regression.
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- Natural Hazards, 2020, v. 102, n. 1, p. 489, doi. 10.1007/s11069-020-03935-8
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- Article
3
Productive changes in Brazilian Pampa: impacts, vulnerabilities and coping strategies.
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- Natural Hazards, 2020, v. 102, n. 1, p. 469, doi. 10.1007/s11069-020-03934-9
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- Article
4
The role of climate parameters variation in the intensification of dust phenomenon.
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- Natural Hazards, 2020, v. 102, n. 1, p. 445, doi. 10.1007/s11069-020-03933-w
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- Article
5
Middle value ground acceleration map and site effect in the Merapi sedimentary basin under the 2006 Yogyakarta, Indonesia earthquake.
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- Natural Hazards, 2020, v. 102, n. 1, p. 419, doi. 10.1007/s11069-020-03932-x
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- Article
6
Vulnerability assessment of bridges subjected to extreme cyclonic events.
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- Natural Hazards, 2020, v. 102, n. 1, p. 401, doi. 10.1007/s11069-020-03931-y
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- Article
7
The role of physical geographic parameters affecting past (1980–2010) and future (2020–2049) thermal stress in Iran.
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- Natural Hazards, 2020, v. 102, n. 1, p. 365, doi. 10.1007/s11069-020-03930-z
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- Article
8
Shear wave velocity profiling by inverse analysis of array microtremors for two cities in Iran: conventional derivative-based versus genetic algorithm inversion methods.
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- Natural Hazards, 2020, v. 102, n. 1, p. 335, doi. 10.1007/s11069-020-03929-6
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- Article
9
Anthropogenically induced subsidence in Thessaly, central Greece: new evidence from GNSS data.
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- Natural Hazards, 2020, v. 102, n. 1, p. 179, doi. 10.1007/s11069-020-03917-w
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- Article
10
Past and future hydrogeological risk assessment under climate change conditions over urban settlements and infrastructure systems: the case of a sub-regional area of Piedmont, Italy.
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- Natural Hazards, 2020, v. 102, n. 1, p. 275, doi. 10.1007/s11069-020-03925-w
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- Article
11
Experimental study of reservoir bank collapse in gravel soil under different slope gradients and water levels.
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- Natural Hazards, 2020, v. 102, n. 1, p. 249, doi. 10.1007/s11069-020-03922-z
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- Article
12
Tsunami intensity scale based on wave amplitude and current applied to the French Riviera: the case study of local seismicity.
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- Natural Hazards, 2020, v. 102, n. 1, p. 219, doi. 10.1007/s11069-020-03921-0
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- Article
13
Estimation of future extreme precipitation changes in Xinjiang based on RegCM4.4 simulations.
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- Natural Hazards, 2020, v. 102, n. 1, p. 201, doi. 10.1007/s11069-020-03920-1
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- Article
14
Drought assessment of southwestern China based on HadGEM2-ES model under representative concentration pathway 4.5 scenario.
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- Natural Hazards, 2020, v. 102, n. 1, p. 307, doi. 10.1007/s11069-020-03928-7
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- Article
15
Performance evaluation of regional climate model simulations at different spatial and temporal scales over the complex orography area of the Alpine region.
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- Natural Hazards, 2020, v. 102, n. 1, p. 151, doi. 10.1007/s11069-020-03916-x
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- Article
16
Assessing cyclone disturbances (1988–2016) in the Sundarbans mangrove forests using Landsat and Google Earth Engine.
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- Natural Hazards, 2020, v. 102, n. 1, p. 133, doi. 10.1007/s11069-020-03914-z
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- Article
17
Rainfall-Induced Landslides forecast using local precipitation and global climate indexes.
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- Natural Hazards, 2020, v. 102, n. 1, p. 115, doi. 10.1007/s11069-020-03913-0
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- Article
18
Assessment of social vulnerability to floods on Java, Indonesia.
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- Natural Hazards, 2020, v. 102, n. 1, p. 101, doi. 10.1007/s11069-020-03912-1
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- Article
19
Pseudo-climate modelling study on projected changes in extreme extratropical cyclones, storm waves and surges under CMIP5 multi-model ensemble: Baltic Sea perspective.
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- Natural Hazards, 2020, v. 102, n. 1, p. 67, doi. 10.1007/s11069-020-03911-2
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- Article
20
Criticality analysis of 3-year-long VLF subionospheric propagation data possibly related to significant earthquake events in Japan.
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- Natural Hazards, 2020, v. 102, n. 1, p. 47, doi. 10.1007/s11069-020-03910-3
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21
Probabilistic assessment and study of earthquake recurrence models for entire Northeast region of India.
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- Natural Hazards, 2020, v. 102, n. 1, p. 15, doi. 10.1007/s11069-020-03909-w
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- Article
22
Numerical study of the triggering mechanism of the 2018 Anak Krakatau tsunami: eruption or collapsed landslide?
- Published in:
- Natural Hazards, 2020, v. 102, n. 1, p. 1, doi. 10.1007/s11069-020-03907-y
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- Publication type:
- Article