Tracking Disaster Response and Relief Following the 2015 Nepal Earthquake

2016 ◽  
Author(s):  
Yue Su ◽  
Ziyi Lan ◽  
Yu-Ru Lin ◽  
Louise K. Comfort ◽  
James Joshi
Keyword(s):  
Disaster Response ◽  
Nepal Earthquake ◽  
2015 Nepal Earthquake

Co-seismic and Post-seismic Changes in ZTD and TEC of the 2015 Nepal Earthquake

2021 ◽  
Author(s):  
A. Akilan ◽  
S. Padhy ◽  
V. P. Dimri ◽  
H. Schuh ◽  
K. K. Abdul Azeez
Keyword(s):  
Nepal Earthquake ◽  
2015 Nepal Earthquake

scholarly journals Nepal earthquake 2015: experience of junior clinical year medical students of Patan Academy of Health Sciences

2018 ◽  
Vol 5 (1) ◽  
pp. 69-74
Author(s):  
Carmina Shrestha ◽  
Sajan Acharya ◽  
Jasmin Joshi ◽  
Nahakul Shahi ◽  
Raksha Sharma ◽  
...  
Keyword(s):  
Medical Students ◽  
Disaster Response ◽  
Health Sciences ◽  
Nepal Earthquake ◽  
Medical School Training ◽  
Students First ◽  
Important Addition ◽  
Mass Disasters ◽  
School Training ◽  
The Impact

Dilemmas regarding whether medical students’ participation ‘as doctor’ in disaster response is ethical remains unanswered. Although they prove to be an important addition to the workforce during such settings, their limited competency and likeliness to harm themselves and the patients in the process raises questions. Here we present our views on medical students’ involvement in disaster response based on our experiences at Patan Hospital, Patan Academy of Health Sciences (PAHS) during the Nepal earthquake 2015. Medical students play a crucial role in disaster management; however, they are not proficient in care for mass disasters. Nonetheless, being involved offered students first-hand experience on disaster response and also helped the disaster response by providing extra manpower. With more training, medical students can serve as a skillful workforce during disaster. The impact of regular drills strategically placed during medical school training in the curricula can be of immense help to build capacity for medical disaster response.  

scholarly journals Post-Earthquake Night-Time Light Piecewise (PNLP) Pattern Based on NPP/VIIRS Night-Time Light Data: A Case Study of the 2015 Nepal Earthquake

2020 ◽  
Vol 12 (12) ◽  
pp. 2009 ◽  
Author(s):  
Shengjun Gao ◽  
Yunhao Chen ◽  
Long Liang ◽  
Adu Gong
Keyword(s):  
Infrared Imaging ◽  
Random Noise ◽  
Development Rate ◽  
Night Time ◽  
Nepal Earthquake ◽  
Decomposition Procedure ◽  
Spatiotemporal Changes ◽  
Reconstruction Rate ◽  
2015 Nepal Earthquake

Earthquakes are unpredictable and potentially destructive natural disasters that take a long time to recover from. Monitoring post-earthquake human activity (HA) is of great significance to recovery and reconstruction work. There is a strong correlation between night-time light (NTL) and HA, which aid in the study of spatiotemporal changes in post-earthquake human activities. However, seasonal and noise impact from National Polar-Orbiting Partnership Satellite Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) data greatly limits their application. To tackle these issues, random noise and seasonal fluctuation of NPP/VIIRS from January 2014 to December 2018 is removed by adopting the seasonal-trend decomposition procedure based on loess (STL). Based on the theory of post-earthquake recovery model, a post-earthquake night-time light piecewise (PNLP) pattern is explored by employing the National Polar-Orbiting Partnership Satellite Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) monthly data. PNLP indicators, including pre-earthquake development rate (kp), recovery rate (kr1), reconstruction rate (kr2), development rate (kd), relative reconstruction rate (krp) and loss (S), are defined to describe the PNLP pattern. Furthermore, the 2015 Nepal earthquake is chosen as a case study and the spatiotemporal changes in different areas are analyzed. The results reveal that: (1) STL is an effective algorithm for obtaining HA trend from the time series of denoising NTL; (2) the PNLP pattern, divided into four phases, namely the emergency phase (EP), recovery phase (RP-1), reconstruction phase (RP-2), and development phase (DP), aptly describes the variation in post-earthquake HA; (3) PNLP indicators are capable of evaluating the recovery differences across regions. The main socio-economic factors affecting the PNLP pattern and PNLP indicators are energy source for lighting, type of building, agricultural economy, and human poverty index. Based on the NPP/VIIRS data, the PNLP pattern can reflect the periodical changes of HA after earthquakes and provide an effective means for the analysis and evaluation of post-earthquake recovery and reconstruction.

Post-disaster Waste Management: Lessons Learnt from 2015 Nepal Earthquake

2019 ◽  
pp. 465-483 ◽  
Author(s):  
Nivesh Dugar ◽  
Sailesh Karanjit ◽  
Nawa Raj Khatiwada ◽  
Surya Man Shakya ◽  
Anish Ghimire
Keyword(s):  
Waste Management ◽  
Nepal Earthquake ◽  
Lessons Learnt ◽  
Post Disaster ◽  
2015 Nepal Earthquake
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