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The 2015 Mw 7.8 Gorkha, Nepal, earthquake occurred in the central Himalayan collisional orogenic belt, which demonstrated complex fault kinematics and significant surface deformation. The coseismic deformation has been well documented by previous studies using Global Positioning System (GPS) and Interferometric Synthetic Aperture Radar (InSAR) data. However, due to some limitations of spatially sparse GPS stations and InSAR only-one-dimensional observation in the line-of-sight (LOS) direction, the complete distribution and detailed spatial variation of the three-dimensional surface deformation field are still not fully understood. In this study, we reconstructed the three-dimensional coseismic deformation fields using multi-view InSAR observations and investigated the refined surface deformation characteristics during this event. We firstly obtained four ascending and descending InSAR coseismic deformation maps from both Sentinel-1A/B and ALOS-2 data. Secondly, we obtained the synthetic north-south deformation field from our best-fitting slip distribution inversions. Finally, we calculated three-dimensional deformation fields, which were consistent with coseismic GPS displacements but with higher resolution. We found that the surface deformation is dominated by horizontal southward motion and vertical uplift and subsidence, with minor east-west deformation. In the north-south direction, the whole deformation area reaches at least 150 × 150 km with a maximum displacement of ~1.5 m. In the vertical direction, two areas, including uplift in the south and subsidence in the north, are mapped with a peak displacement of 1.5 and −1.0 m, respectively. East-west deformation presented a four-quadrant distribution with a maximum displacement of ~0.6 m. Complex thrusting movement occurred on the seismogenic fault; overall, there was southward push motion and wave-shaped fold motion. [ABSTRACT FROM AUTHOR]

In 2015, Nepal was hit by a series of powerful earthquakes. More than a million Nepalis currently live outside of their home country while maintaining deep social and economic ties. When Nepal was hit by the disastrous earthquakes, the traditional channels of communication were disrupted affecting the immigrants' ability to check on their friends and family members' safety. The purpose of this study was to understand the communication behavior of Nepali immigrants during this event, and how the exposure to information about damage and destruction affected their mental well-being. This study conducted a survey of Nepalis living outside of the country (N = 228). Findings showed that Nepali immigrants first learned about the events through a phone call from a friend or relative, consistent with previous findings that people use personable channels of communication to alert those in their social network in an unexpected disaster event. This study found that social media, especially, Facebook was the second most used platform to share the news. Additionally, exposure to personal accounts on media outlets, including social media, influenced Post-Traumatic Stress Symptoms (PTSS), more than the exposure to images and videos of the events. Implications and recommendations for future studies are further discussed. [ABSTRACT FROM AUTHOR]

Community Health Workers (CHWs) perform a number of different roles in public and primary health, globally. This paper explores response efforts of CHWs in disasters, using the 2015 earthquakes in Nepal as a specific case study. A survey was carried out in the Dhading District of Nepal, in collaboration with Green Tara Nepal through their Post-Disaster Health Promotion Project between March and April 2018. Female Community Health Volunteers (FCHVs) present and enrolled as a FCHV during the 2015 earthquakes, in the Dhading District were included in the study. 55 participants completed the survey questionnaire. All 55 participants reported that they provided at least one type of assistance during the earthquakes of 2015. An important finding is that 94% of participants believe further training in emergency response and preparedness would be beneficial. [ABSTRACT FROM AUTHOR]

The Gorkha Earthquake hit the region on 25th of April 2015, at 12:58, with the epicentre approximately 80 km N-NW of Kathmandu, recording 7.8 Mw on the Richter Scale. The disaster left almost 9000 individuals dead. The search and recovery as well as the subsequent Disaster Victim Identification (DVI) operations left much to be desired. The entire DVI operations consisted of examination of 365 bodies and collection of 15 blood/hair samples and 60 bone/tooth samples. This resulted in the scientific identification of eight individuals and visual recognition of 357. The scientific basis of identification of more than 8000 individuals, remains a question. The Disaster Response was hampered by miscommunication, incoordination and mismanagement on the part of all stakeholders and could have led to misidentification as well as missed identification. This demonstrates the importance of systematic management of dead bodies in mass casualty events to ensure dignity and respect of the deceased as well as family members. The helplessness felt by technical experts was compounded by the general lack of political will and the pressure on the law enforcement for quick disposal, irrespective of the available standards and protocols. Therefore, DVI operations can only be assumed to be a disaster in the making, when faced with lack of political will, lack of strict adherence to international standards as well as lack of determination from all stakeholders. Such a response from authorities is usually driven by panic following mass fatalities especially in disasters of great magnitude, like this one. The article discusses the challenges faced by the technical experts in the field and describes the advancements as well as recommendations for further improving the DVI operations in a resource-stricken country. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Social vulnerability indices have become widely accepted as key elements of disaster risk reduction (DRR) frameworks despite significant conceptual and technical concerns over their creation. Despite increasingly complex theorization, it remains commonplace to determine vulnerability dimensions by applying principal component or factor analysis on aggregated, sub-national level statistical data. The primary focus of this paper is in showing that social vulnerability dimensions derived from aggregate statistics may not be consistent with those derived at the household level. I first provide empirical support for this problem using household level micro-data from Nepal, then illustrate how differences in determined dimensions impact composite index creation at both household and regional levels. I show that qualitative differences in index components are not required to produce large magnitude changes or sign reversals in index scores. These findings raise questions over whether regional vulnerability components can be sufficiently represented with household characteristics. These results reiterate the necessity of addressing issues of scale in the development of empirical social vulnerability indicators. [ABSTRACT FROM AUTHOR]

Following the strong earthquake on April 25, 2015 in Nepal, a team from the University of Porto, in collaboration with other international institutions, made a field study on some of the most affected areas in the capital region of Kathmandu. One of the tasks was the study of a high-rise settle of buildings that were damaged following the earthquake sequence. A survey damage assessment was performed to a 15-storey infilled reinforced concrete structure, which will be detailed in the manuscript. Moreover, ambient vibration tests were carried out to determine the natural frequencies and corresponding vibration modes of the structure. The main aim of this manuscript is to present a numerical study concerning the influence of the masonry infill walls in the structure seismic response. For this, three numerical models were built discriminating the situations with and without damage and nondamaged infill walls. Validation and calibration of the numerical model was ensured by comparing the numerical frequencies with those obtained from ambient vibration tests. In addition, linear elastic analyses were carried out, using real accelerograms from the Gorkha earthquake to assess and quantify the major differences between the models in terms of inter-storey drifts ratios, inter-storey shear forces and seismic loadings. [ABSTRACT FROM AUTHOR]

Introduction The incidence of natural disasters is increasing worldwide, with countries the least well-equipped to mitigate or manage them suffering the greatest losses. Following natural disasters, ill-prepared foreign responders may become a burden to the affected population, or cause harm to those needing help. Problem The study was performed to determine if international guidelines for foreign workers in the health sector exist, and evidence of their implementation., Methods: A structured literature search was used to identify guidelines for foreign health workers (FHWs) responding to natural disasters. Analysis of semi-structured interviews of health sector responders to the 2015 Nepal earthquake was then performed, looking at preparation and field activities., Results: No guidelines were identified to address the appropriate qualifications of, and preparations for, international individuals participating in disaster response in the health sector. Interviews indicated individuals choosing to work with experienced organizations received training prior to disaster deployment and described activities in the field consistent with general humanitarian principles. Participants in an ad hoc team (AHT) did not., Conclusions: In spite of need, there is a lack of published guidelines for potential international health sector responders to natural disasters. Learning about disaster response may occur only after joining a team. Dunin-Bell O . What do they know? Guidelines and knowledge translation for foreign health sector workers following natural disasters. Prehosp Disaster Med. 2018;33(2):139-146.