National Science and Technology Center for Disaster Reduction

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. National Taiwan University中国台湾8
2. National Cheng Kung University中国台湾4
3. Ministry of Economic Affairs中国台湾2
4. National Yang Ming Chiao Tung University中国台湾2
5. Aligarh Muslim University印度1
6. National Central University中国台湾1
7. Beijing Normal University中国1
8. The University of Tokyo日本1

按月发文

逐年被引

最新文献

1. 1
   A health outcome-informed vulnerability index and two-stage risk matrix approach to assessing future heat risk in TaiwanInternational Journal of Disaster Risk Reduction20260
2. 2
   Rapid flood scene extraction using deep learning for disaster emergency responseNatural Hazards20260
3. 3
   Pluvial flood warnings in a tidally influenced basin enhanced by rainfall–tide compound indicators: Taipei case studyStochastic Environmental Research and Risk Assessment20252
4. 4
   Enhanced medium-range prediction for reservoir inflows using residual-error-based ensemble learning modelsStochastic Environmental Research and Risk Assessment20252
5. 5
   Future projection of drought risk in southern Taiwan under changing climateNatural Hazards20253
6. 6
   A spatiotemporal watershed-scale machine-learning model for hourly and daily flood-water level prediction: the case of the tidal Beigang River, TaiwanNatural Hazards20253
7. 7
   Agent-based modelling for flood evacuation as inclusive disaster risk reduction: Pilot participatory action research with 11- and 12-year-old children from a Japanese schoolInternational Journal of Disaster Risk Reduction202515
8. 8
   Extracting disaster location identification from social media images using deep learningInternational Journal of Disaster Risk Reduction202440
9. 9
   A spatial–temporal deep learning-based warning system against flooding hazards with an empirical study in TaiwanInternational Journal of Disaster Risk Reduction202426
10. 10
    Climate change research in Taiwan: beyond following the mainstreamEnvironmental Hazards20226

高被引文献

1. 1
   Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, ChinaNatural Hazards201971
2. 2
   On the criteria of model performance evaluation for real-time flood forecastingStochastic Environmental Research and Risk Assessment201649
3. 3
   Assessment of storm surge inundation and potential hazard maps for the southern coast of TaiwanNatural Hazards201645
4. 4
   How does resilience matter? An empirical verification of the relationships between resilience and vulnerabilityNatural Hazards201744
5. 5
   Extracting disaster location identification from social media images using deep learningInternational Journal of Disaster Risk Reduction202440
6. 6
   Adopting the I 3 – R 24 rainfall index and landslide susceptibility for the establishment of an early warning model for rainfall-induced shallow landslidesNatural Hazards and Earth System Sciences201836
7. 7
   Evaluating critical rainfall conditions for large-scale landslides by detecting event times from seismic recordsNatural Hazards and Earth System Sciences201833
8. 8
   A spatial–temporal deep learning-based warning system against flooding hazards with an empirical study in TaiwanInternational Journal of Disaster Risk Reduction202426
9. 9
   Implementing the Sendai Framework for disaster risk reduction 2015–2030: Disaster governance strategies for persons with disabilities in TaiwanInternational Journal of Disaster Risk Reduction201925
10. 10
    Run-up, inundation, and sediment characteristics of the 22 December 2018 Sunda Strait tsunami, IndonesiaNatural Hazards and Earth System Sciences202018

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