Items: 32
An analysis based on the rise in temperatures and death rates between 2007 and 2014 in India was generated to set up a traffic light-like warning system. It found that fatal temperatures vary from one region to another, meaning that the relevant heat tolerance threshold should be adjusted accordingly.
India's National Disaster Response Force has noted an improvement in its monsoon preparedness and flood management for Mumbai. Better data helped the force preempt adverse situations during the country's monsoon season, while rapid communication ensured that assistance was rushed to flooded areas.
In India, Google is scaling up its lessons from a project in Patna to provide flood alerts in simple text format using machine learning techniques. Compared to physics-based models, Google's machine learning better incorporates additional types of information, provides more efficient models, and enables automating many processes that must be manually implemented.
Scientists at IIT Roorkee claim to have developed an earthquake early warning system that can alert people up to a minute before an earthquake strikes. The system, already deployed in some areas of Uttarakhand, consists of a network of sensors that detect different types of seismic waves travelling through the Earth's layers after a quake.
Rebuilding after the devastation, Kerala is also rethinking its model of tourism. Acknowledging unplanned construction, terms like environment & eco-friendly are the new focus, as both government and industry take a pledge of sustainable tourism.
A River Atlas that the North Eastern Space Application Centre (NESAC) is currently preparing for the government of Assam, would serve not just as a database of the Brahmaputra and its 100-odd tributaries, but also record deforestation in the region in order to help tackle recurring floods and erosion in the state.
Recalling that India is one of the most disaster-prone nations, Home Minister Rajnath Singh inaugrated a meeting of the National Platform for Disaster Risk Reduction. The Platform will finalise a national strategy to deal with all kinds of disasters in coordination with state governments and other stakeholders.
In the absence of any early flood warning system, villagers in Assam are banking on abnormal animal behaviour to predict and survive sudden inundation of their houses, say researchers. Locals also rely on observation of celestial bodies, nature and meteorology. These measures and techniques are locality specific, require no external help, and are inherently scientific.
Voluntary Commitments
The organization has no registered commitments.
The Sendai Framework Voluntary Commitments (SFVC) online platform allows stakeholders to inform the public about their work on DRR. The SFVC online platform is a useful toolto know who is doing what and where for the implementation of the Sendai Framework, which could foster potential collaboration among stakeholders. All stakeholders (private sector, civil society organizations, academia, media, local governments, etc.) working on DRR can submit their commitments and report on their progress and deliverables.