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Flood Risk might hit Nepal due to Road Construction in India

Nepal suggests that the road construction in India might obstruct the flow of several rivers

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Representational Image. Image source: cedarfundeng.wordpress.com
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  • Nepal authorities are concerned about the flood risks in Tarai region
  • The Nepal officials blame India’s road project for increasing risk of floods
  • Nepal came up with the issue during 11th meeting of Nepal-India Joint Border Management Meeting

Several parts of Nepal are facing flood from mid of June. Social media sites like Facebook and Whatsapp are continuously carrying out videos of Mahakali river gulping down various buildings in the Darchula district of Nepal. The village also borders the Uttarakhand state of India. According to International Centre for Integrated Mountain Development (ICIMOD) of Nepal, the region has not faced such a drastic flood in past 50 years.

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Amid of this, Nepal authorities are concerned about the flood risks in Tarai region. According to officials, several parts of Bardiya, Kapilvastu, Banke, Mahottari and Kanchanpur have become vulnerable to floods in the beginning of the monsoon seasons retaining the fact that Kapilvastu and Bardiya district faced huge flood during monsoon last year in 2015, said the kathmandupost.com report.

Road Construction (Source: Wikimedia Commons)
Road Construction Image Source: Wikimedia Commons

The Nepal officials blame India’s road project for increasing risk of floods. India is speedily constructing a road parallel to the 1,751-kilometer Nepal-India border. Yadav Prasad Koirala, Spokesperson of Ministry of Home affairs, is currently making list of all the area of Western Nepal attacked by floods.

“The more roads India constructs along the border, the more vulnerable Nepali territory will become to floods,” said Yadva Prasad Koirala to Kathmandu Post. Koirala had also urged Indian government to hold Bilateral meeting between two nations as soon as possible

Following the problem, Nepal had urged Indian government to stop the road construction project. Nepal came up with the issue during the 11th meeting of Nepal-India Joint Border Management Meeting, held in Pokhara on Nepal’s request.

According to the kathmandupost.com report, Nepal suggested that many rivers flows from Nepal to India, but this construction could obstruct the flow of these rivers. Responding to Nepal’s need, India Has appointed a committee that will look after the impact of this road construction project. The committee had decided to conduct meetings with border district coordination committee frequently to solve the problem.

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Nepal had asked India to ensure proper drainage system along with proper design of constructing roads. India answered by saying that they had put a sufficient number of drainage system with proper alignment of roads and are not intended to cause any flood in Nepal.

India-Nepal Joint Bilateral Meeting (Source: wwfindia.org)
India-Nepal Joint Bilateral Meeting. Image Source: wwfindia.org

“We are ready to conduct a joint investigation of the sites whenever Nepal proposes,” said a senior official from the Indian government to the Washington Post.
Many other issues were discussed during the meeting like Terrorism, illegal activities of armed groups, illegal trafficking of women and children and exchange of counterfeit currency.

– This report is compiled by a Staff-writer at NewsGram.

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  • Vrushali Mahajan

    Of course there should be measures taken. We cannot let our neighboring countries suffer because of us. Plus, Nepal has suffered a lot due to natural calamities

  • Aparna Gupta

    Both the countries should work on this problem as development should not cost to individual life

  • Vrushali Mahajan

    Of course there should be measures taken. We cannot let our neighboring countries suffer because of us. Plus, Nepal has suffered a lot due to natural calamities

  • Aparna Gupta

    Both the countries should work on this problem as development should not cost to individual life

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.

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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.