Thursday January 18, 2018
Home World Thousands dis...

Thousands displaced in Myanmar due to floods

Over 1,200 households and over 5,000 persons are already suffering from the floods. Medicine, food and aid are needed for their health.

0
//
288
Floods in Myanmar. Image Source: www.thehindu.com
Republish
Reprint
  • Over 1,200 households and over 5,000 persons are already suffering from the floods. Medicine, food and aid are needed for their health
  • Scores of people affected by the floods in Mandalay and elsewhere in the country have also been relocated to temporary accommodation
  • Rescue efforts continued to limit the damage caused after heavy rains raised the water level of the Irrawaddy River which had passed the danger mark, flooding 16 of 24 villages in Mandalay’s Amarapura township, Efe news reported

Thousands of persons were affected by flooding in Myanmar’s Mandalay region, with many temporarily displaced from their homes, rescue officials said on Wednesday.

Thousands displaced in Myanmar due to floods. Image Source: www.asianews.it
Thousands displaced in Myanmar due to floods. Image Source: www.asianews.it

Rescue efforts continued to limit the damage caused after heavy rains raised the water level of the Irrawaddy River which had passed the danger mark, flooding 16 of 24 villages in Mandalay’s Amarapura township, Efe news reported.

Follow NewsGram on Twitter
“Over 1,200 households and over 5,000 persons are already suffering from the floods. Medicine, food and aid are needed for their health,” an official said.

Over 1,200 households are suffering from floods. Image Source: www.plan.org.hk
Over 1,200 households are suffering from floods. Image Source: www.plan.org.hk

Scores of people affected by the floods in Mandalay and elsewhere in the country have also been relocated to temporary accommodation.

Follow NewsGram on Facebook

According to data from the Department of Relief and Resettlement, nearly 1,00,000 persons across five regions and one state were relocated because of the flooding. (IANS)

Also Read:

Click here for reuse options!
Copyright 2016 NewsGram

Next Story

With the aid of Twitter and AI, researchers to develop flood warning system

In a study, published in the journal Computers & Geosciences, the researchers showed how AI can be used to extract data from Twitter and crowdsourced information from mobile phone apps to build up hyper-resolution monitoring of urban flooding.

0
//
23
AI can play a key role in future flood warning and monitoring systems
AI can play a key role in future flood warning and monitoring systems

London, Dec 26: Researchers are combining Twitter, citizen science and artificial intelligence (AI) techniques to develop an early-warning system for flood-prone communities in urban areas.

In a study, published in the journal Computers & Geosciences, the researchers showed how AI can be used to extract data from Twitter and crowdsourced information from mobile phone apps to build up hyper-resolution monitoring of urban flooding.

“By combining social media, citizen science and artificial intelligence in urban flooding research, we hope to generate accurate predictions and provide warnings days in advance,” said Roger Wang from University of Dundee in Britain.

Urban flooding is difficult to monitor due to complexities in data collection and processing.

This prevents detailed risk analysis, flooding control and the validation of numerical models.

The research team set about trying to solve this problem by exploring how the latest AI technology can be used to mine social media and apps for the data that users provide.

They found that social media and crowdsourcing can be used to complement datasets based on traditional remote sensing and witness reports.

Applying these methods in case studies, they found them to be genuinely informative and that AI can play a key role in future flood warning and monitoring systems.

“The present recording systems — remote satellite sensors, a local sensor network, witness statements and insurance reports — all have their disadvantages. Therefore, we were forced to think outside the box and one of the things that occurred to us was how Twitter users provide real-time commentary on floods,” Wang said.

“A tweet can be very informative in terms of flooding data. Key words were our first filter, then we used natural language processing to find out more about severity, location and other information,” Wang said.

The researchers applied computer vision techniques to the data collected from MyCoast, a crowdsourcing app, to automatically identify scenes of flooding from the images that users post.

“We found these big data-based flood monitoring approaches can definitely complement the existing means of data collection and demonstrate great promise for improving monitoring and warnings in future,” Wang said.

Twitter data was streamed over a one-month period in 2015, with the filtering keywords of “flood”, “inundation”, “dam”, “dike”, and “levee”. More than 7,500 tweets were analysed over this time.

“We have reached the point of 70 per cent accuracy and we are using the thousands of images available on MyCoast to further improve this,” Wang said.