www.iasinsights.in ; www.iasgyaan.com posts Hindu summary about How Big Data analytics can be used for Disaster management?
Data that can save lives
Data analytics helps in reducing natural disasters
Facts to be known:
- Since 1970, >2million people have been killed by natural disasters in the ‘Ring of Fire’ region around the Pacific Ocean, an average of 43,000 a year, as per the United Nations(UN).
- In 2004, the Indian Ocean tsunami struck 14 countries, and killed more than 18,000 people in India.
What to be done?
Need to reduce deaths, physical and economic damage of those vulnerable communities by collecting data.
Purpose of data:
- It help identify the gaps and makes recommendations on where to allocate resources to mitigate risks from disasters.
Efforts or measures taken:
- India recently embarked on an initiative to establish a comprehensive disaster database system.
- United Nations Development Programme (UNDP), working with partners, has established National Disaster Loss and Damage databases in 16 countries.
- In 2015, the UNDP partnered with the Tohoku University and Fujitsu to create a Global Centre for Disaster Statistics (GCDS).
The Sendai Framework for Disaster Risk Reduction 2015-2030 outlines seven clear targets and four priorities for action to prevent new and reduce existing disaster risks:
- Understanding disaster risk;
- Strengthening disaster risk governance to manage disaster risk;
- Investing in disaster reduction for resilience and;
- Enhancing disaster preparedness for effective response, and
- to “Build Back Better” in recovery, rehabilitation and reconstruction.
It aims to achieve the substantial reduction of disaster risk and losses in lives, livelihoods and health and in the economic, physical, social, cultural and environmental assets of persons, businesses, communities and countries over the next 15 years.
The Framework was adopted at the Third UN World Conference on Disaster Risk Reduction in Sendai, Japan, on March 18, 2015.
Outcomes of these partnerships:
- Aim is to gather and crunch ‘big data’ to meet the ambitious targets of the Sendai Framework to reduce the risks from disasters.
- Fujitsu’s cloud-based ecosystem captures data from a variety of sources, including unstructured sources like social media, high-resolution satellite imagery and drones.
- Tohoku University like kind crunch the info, analyse the data for policy makers.
- It helps to monitor recovery, focusing on early warning, and assessing resilience.
- It also helps in knowing how economy is connected and affected due to Disasters around the world.
- Helps in knowing the ripple effects in economy.
With Big data analytics, governments can anticipate disasters and reduce risks through preventive measures such as early warning systems, safety drills, and resilient infrastructure.