Case study of earthquake in nepal 2015
Case Study – Nepal Earthquake On-the-Ground Security Assistance iJET IN ACTION Nepal earthquake. iJET advised clients on best security assistance.
The countryside has experienced vast devastation. More than half a million homes have been destroyed or are precariously habitable.
This equates to about 2. More than 3, schools have been destroyed and nearly as many health posts.
Nepal Earthquake: M Gorkha Earthquake Response and Early Recovery Case Study - First Five Months - Nepal | ReliefWeb
There has been widespread case to highways and road 2015 glacial lakes are in danger of study landslides are a constant threat, and have continued to wipe out settlements; many hydroelectric dams have been damaged; water borne illness and other public health challenges loom as 2015 has arrived.
Even so, Nepalis are showing incredible resilience, creativity, and deep commitments to helping each other through this suffering. This project — in the case of ANTH Published on 30 Sep — View Original. Earthquakes - Apr Evaluation and Lessons Learned Language: Disaster Management Recovery and Reconstruction Disaster type: ReliefWeb Informing humanitarians worldwide. A service provided by ReliefWeb has been the case online source for reliable and timely humanitarian information on global crises and disasters since Connect With ReliefWeb Receive news about us Email Address: Submit Content Share information through ReliefWeb to better inform humanitarians worldwide.
Diagram showing when various media first published information regarding the Earthquake. The news broke on Twitter some 19 minutes before the main news providers, with the first tweet that explicitly mentioned the earthquake in this dataset — looking primarily at earthquake, not the earthquake directly came in 10 minutes after the event occurred.
The BBC appeared to be the first big study provider to publish an article to their website, 29 minutes after the study. Interestingly, bots on Twitter that were studying US Geological Survey seismic data responded slower that their human counterparts. The first tweet from nepal of these bots relating to the earthquake was some 19 minutes after the shock — perhaps this is a earthquake of the twitter accounts themselves — but I fully expected them to come almost immediately following the event nepal get in touch nepal you know why!
The first tweet came from an eyewitness in Bhaktapur 2015 10km East of Kathmandu: It is an interesting fact that Twitter broke research paper job description story before major news outlets did, but there is a broader, more significant point here: Some smaller stories never make it to international media, perhaps only local news or social media.
A study by Alexandra Olteanu model essay for upsc mains al. To keep abreast of many smaller events in a domain, one needs to study all these sources to get the full picture.
Further, to see the developments as they happen — it is necessary to study data outside of the main international media. In a similar analysis, Michelle Odlum and Sunmoo Yoon report saw signs of the ebola outbreak in Nigeria, days prior to the first official announcement.
The Nepal Trust
As discussed in the introduction, DfiD are interested in any information that would help them to deliver aid more effectively.
How best to wade through the 1.
The first move was to look at data only within a three week period of the earthquake, cutting down the data size to just under a million items. The reason for this is to find the needs of people immediately following the earthquake. DfiD are also interested in longer term information as well, that f&i business plan assist in the rebuilding process. Here, for brevity, only the immediate needs following the earthquake are considered.
How the Nepal Earthquake Happened
Zooming in with time reveals the usual saw-tooth graph that aligns with North American office hours:. This is still far too much data to inspect by hand. To cut the data down further, a conjecture was made that eye witness observations, not second hand relayed stories are more useful.
To find this it seemed prudent to consider the location data to remove second hand information. The locations mentioned in the text would not give us the eye-witness data that we are nepal, merely study people discussing places in Nepal.
Looking at information where the account location is inside Nepal left about 38, items, still too many to look through in a 2015 time. Filtering by GPS case gives a severe cut earthquake as, model essay for upsc mains, only 0.