Friday, March 6, 2026
15.7 C
Srinagar

J&K joining hands with UK Space Agency’s programme for ‘Impact Based Flood Forecasting using Earth Observation based Information’ project

Initiative to provide framework to predict fluvial flood risks, in terms of expected loss to life, injuries to people, building collapse, infrastructure disruption & economic damage

Impact-based forecasting is next step of flood forecasting services: Lt Governor

“Having impact-based forecasts of flood risk will be useful for effective emergency planning for the administrative machinery”, says the LG

JAMMU, FEBRUARY 12: In a significant move to put impact based flood forecasting mechanism in place, the Union Territory of J&K is joining hands with UK Space Agency’s programme for collaborative project on ‘Impact Based Flood Forecasting using Earth Observation (EO) based Information’.

Lieutenant Governor, Manoj Sinha termed the Impact-based forecasting as the next step of flood forecasting services.

“Having impact-based forecasts of flood risk will be useful for efficient, effective contingency planning and swift evaluation of severity for necessary response”, the Lt Governor remarked.

The Lt Governor observed that the international collaboration adds specific value in helping to analyze past flood events and identifying relationships between predicted floods and their impact.

The mechanism will predict impacts to people, their houses, crops, livestock, and transport routes, thereby mitigating many of the challenges people face during flood events, he added.

A recent report has put India among the 10 most disaster prone countries in the world & ranked floods as a climate related hazard posing the greatest risk to the people. India has numerous flood forecasting systems that provide predictions of water levels and flows but not their impact in terms of loss of life, damage to buildings, critical infrastructure and agriculture.

In J&K, there is no effective impact based flood forecasting mechanism in place as such. It is a big initiative taken by the Hon’ble Lt Governor of UT of J&K and will help to predict fluvial flood risks, in terms of expected loss to life, injuries to people, building collapse, infrastructure disruption, and economic damage. The framework will be capable of being linked to any existing or future flood flow forecasting system. The UT Government will not have to bear any expenses on the project.

The National Space Innovation Programme (NSIP) is a new programme established by the UK Space Agency which supports collaborative projects between UK organisations and international partners. The project will be undertaken by HR Wallingford in collaboration with Oxford University, Sayers & Partners (SPL), and D-Orbit (UK).

Hot this week

No Issue Can Be Resolved Through Military Conflict: PM Modi

New Delhi: Prime Minister Narendra Modi on Thursday called...

Record ton by Allen powers New Zealand to final

A record ton by Finn Allen powered New Zealand...

Nitish Kumar Likely To File Nomination For Rajya Sabha Polls Today

Patna, Mar 5:Bihar Chief Minister Nitish Kumar is likely...

Farooq Abdullah Urges India to Clarify Stand on US-Israel Attacks on Iran, Warns of Global Consequences

Katra, Mar 05: National Conference president Dr. Farooq Abdullah...

Protest in Jammu as Health Department Employees Decry Salary Cut

Jammu, March 5,: Employees of the Health and Medical...

Topics

No Issue Can Be Resolved Through Military Conflict: PM Modi

New Delhi: Prime Minister Narendra Modi on Thursday called...

Record ton by Allen powers New Zealand to final

A record ton by Finn Allen powered New Zealand...

Nitish Kumar Likely To File Nomination For Rajya Sabha Polls Today

Patna, Mar 5:Bihar Chief Minister Nitish Kumar is likely...

Protest in Jammu as Health Department Employees Decry Salary Cut

Jammu, March 5,: Employees of the Health and Medical...

Authorities Ban Harmful Chemicals in Popular Kashmiri Snack ‘Aalu Manj’

Baramulla, March 5,: Authorities in Sopore town of north...
spot_img

Related Articles

Popular Categories

spot_imgspot_img