Syndicate content

Disasters

What Super Typhoon Yolanda in the Philippines told us about building back better

Ede Ijjasz-Vasquez's picture
[[avp asset="/content/dam/videos/ecrgp/2018/jun-20/what_super_typhoon_yolanda_told_us_about_building_back_better_updated_hd.flv"]]/content/dam/videos/ecrgp/2018/jun-20/what_super_typhoon_yolanda_told_us_about_building_back_better_updated_hd.flv[[/avp]]
The Philippines is increasingly exposed and vulnerable to natural hazards.
 
Typhoon Yolanda (Haiyan), which struck the country in 2013, was considered one of the strongest tropical storms ever to make landfall (at 380 kilometer / hour wind gusts). It caused over 6,300 fatalities and affected 1,472,251 families in 171 cities and municipalities across the 14 provinces in 6 regions. Total damage and loss was estimated at $12.9 billion (Reconstruction Assistance on Yolanda 2013).
 
The World Bank assessed the post-Yolanda rehabilitation and recovery efforts, and this has resulted in the following recommendations:

 

The 2018 Atlas of Sustainable Development Goals: an all-new visual guide to data and development

World Bank Data Team's picture
Download PDF (30Mb) / View Online

“The World Bank is one of the world’s largest producers of development data and research. But our responsibility does not stop with making these global public goods available; we need to make them understandable to a general audience.

When both the public and policy makers share an evidence-based view of the world, real advances in social and economic development, such as achieving the Sustainable Development Goals (SDGs), become possible.” - Shanta Devarajan

We’re pleased to release the 2018 Atlas of Sustainable Development Goals. With over 180 maps and charts, the new publication shows the progress societies are making towards the 17 SDGs.

It’s filled with annotated data visualizations, which can be reproducibly built from source code and data. You can view the SDG Atlas online, download the PDF publication (30Mb), and access the data and source code behind the figures.

This Atlas would not be possible without the efforts of statisticians and data scientists working in national and international agencies around the world. It is produced in collaboration with the professionals across the World Bank’s data and research groups, and our sectoral global practices.
 

Trends and analysis for the 17 SDGs

Informing rapid emergency response by phone surveys

Utz Pape's picture

In 2017, a severe and prolonged drought had hit countries in Africa and the Middle East, bringing crop shortage, livestock death, water scarcity and disease. Food shortages escalated into near-famine conditions in countries with low resilience against shocks, such as Nigeria, Somalia, South Sudan and Yemen. In such a context, rapid quantitative data is required to respond to urgent developmental needs of the affected populations. Therefore, we designed and implemented the Rapid Emergency Response Survey (RERS).

Empowering Indian women after a natural disaster hits

Hyunjee Oh's picture
In June 2013, a heavy deluge caused devastating floods and landslides in the state of Uttarakhand in India’s Himalayan foothills. Damyanti Devi, the mother of a young daughter, lost her home and livelihood. Her old house in Rudraprayag was completely washed away by the landslide.
In June 2013, a heavy deluge caused devastating floods and landslides in the state of Uttarakhand in India’s Himalayan foothills. Damyanti Devi, the mother of a young daughter, lost her home and livelihood. Her old house in Rudraprayag was completely washed away by the landslide.


This blog is part of a series exploring housing reconstruction progress in Uttarakhand, India.
  
In June 2013, a heavy deluge caused devastating floods and landslides in the state of Uttarakhand in India’s Himalayan foothills.
 
The disaster – the worst in the country since the 2003 tsunami—hit more than 4,200 villages, damaged 2,500 houses, and killed 4,000 people.
 
Damyanti Devi, the mother of a young daughter, lost her home and livelihood. Her old house in Rudraprayag was completely washed away by the landslide.
 
“The river was fast swelling up,” she said. “It had crossed the danger mark and reached close to our house. We just took our daughter and left with an umbrella and a lantern.”
 
She now owns a new house abuzz with music and her daughter’s laughs.
 
Like thousands of other people in Uttarakhand, Damyanti received support through the World Bank and the Global Facility for Disaster Reduction and Recovery (GFDRR) to rebuild her home.
 
This support channeled through the Uttarakhand Disaster Recovery Project (UDRP) also helped build better roads and mitigate future disaster risks in local communities.
 
A key component of the project was to rebuild 2,382 more resilient houses based on the owner-driven housing reconstruction model,  which allows families to rebuild according to their specific needs.
 
This community-driven approach is important as women are typically at greater risk from natural hazards than men, particularly those who are poor and live in low-income countries.
 
There is indeed strong evidence that disasters impact women differently and amplify gender inequalities.
 
Women and men have different perceptions of their surroundings and coping abilities, roles, responsibilities, and resources before or in the aftermath of a disaster.
 
Gender-sensitive approaches to disaster prevention, mitigation, adaptation, relief, recovery, and reconstruction can save more lives and promote more gender-inclusive development.  

With that in mind, the  housing reconstruction component of UDRP helped empower women like Damyanti in the aftermath of a disaster in 4 different ways:

Wenchuan Earthquake, ten years on: Building back stronger

Yi Shi's picture
Photo:Mara Warwick/World Bank

It’s been ten years since the Wenchuan Earthquake struck China, leaving an everlasting scar on ravaged land, but also revealing the strong and unyielding will of the Chinese people.

Understanding Risk Forum 2018: How data and technology can save (hundreds of) billions of dollars from natural disasters

Ede Ijjasz-Vasquez's picture
[[avp asset="/content/dam/videos/ecrgp/2018/jun-20/understanding_risk_forum_hd.flv"]]/content/dam/videos/ecrgp/2018/jun-20/understanding_risk_forum_hd.flv[[/avp]]
Natural disasters made 2017 a very expensive year.
 
At $330 billion, last year’s global losses from disasters set a record. These economic losses were primarily a result of meteorological events, such as floods and hurricanes, which are increasing in frequency and intensity due to climate change. An increasing number of people are also exposed to tectonic risks, such as earthquakes and landslides, due to rapid urbanization.
 
But growing disaster losses aren’t inevitable. Policy changes, education, and good disaster risk management practices have been proven to reduce losses – and the foundation of all of them is accurate, reliable information about disaster risks.
 
Risk data informs resilience investments. It drives decision-making. And it’s the focus of the open, global community of disaster risk management experts and practitioners called Understanding Risk (UR), which is supported by the Global Facility for Disaster Reduction and Recovery (GFDRR).
 
This year, the community will convene at the Understanding Risk Forum 2018 May 14–18 in Mexico City. The Forum will highlight best practices, facilitate nontraditional partnerships, and showcase the latest technical knowledge in disaster risk identification.



It’s a critical time for a discussion of disaster risk information. A new GFDRR report, Aftershocks: Remodeling the Past for a Resilient Future, concludes that if past disasters were to repeat in the same places today, the losses would be far greater. Aftershocks, which will be discussed at UR2018, explores what we can learn from historic disasters to anticipate similar future events and build resilience ahead of time.
 
The good news is that the past few years have seen a surge of new ways to get more accurate, more detailed information more quickly, more easily, and in more difficult contexts. We can now use social media to gather increasingly valuable information in the immediate aftermath of an event. Drones are increasingly capturing high-quality images, and machine learning for image recognition is already helping us produce more and better risk data all the time.
 
These emerging technologies, including artificial intelligence and machine learning, will be one of the major themes of this year’s UR Forum. To find out more about the UR Forum, and how you can get involved, watch the video blog and visit understandrisk.org.
 
And don’t forget to keep up with all the great ideas coming out of #UR2018 by following along on Twitter: @UnderstandRisk, @GFDRR, and @WBG_Cities.

“The past is never dead. It’s not even past.” – William Faulkner

Barbara Minguez Garcia's picture
Ponto-cho Alley, Kyoto. (Barbara Minguez Garcia / World Bank, 2016)
Ponto-cho Alley, Kyoto. (Barbara Minguez Garcia / World Bank, 2016)
 

Ponto-cho mapIt is 7:45 p.m. in Ponto-cho, the historic narrow alley at the core of the Japanese city of Kyoto. Close to the Kaburenjo Theater – where still today Geikos and Maikos (Kyoto Geishas) practice their dances and performances – the traditional adjoining buildings with restaurants and shops are full of guests. Local people, tourists, students… On this Saturday in mid-April, the warm weather brings a lot of people to the streets nearby.

At 7:46 p.m., a M 5.1 earthquake strikes. Seven seconds of swaying. It doesn’t cause major damage, but it is enough to spread panic among a group of tourists. Screams, shoving, confusion… drinks spill, candles fall, people rush.

At 7:49 p.m., the fire starts spreading through the old wooden structures, also threatening the historic theater. Access is difficult due to the narrow streets and panicking crowd.

What happens next?

It could be a fire in the Ponto-cho traditional alley. It could be an earthquake shaking the historic center of Kathmandu (Nepal), the archaeological site of Bagan (Myanmar), or the historic town of Amatrice (Italy). It could be Typhoon Haiyan in the Philippines or Hurricane Irma in the Caribbean, blasting sites with rain, flooding, and gale-force winds.

Cultural heritage assets around the world are at risk. They are often vulnerable due to their age, as well as previous interventions and restorations made without disaster risk or overall site stability in mind. Heritage sites reflect legacies, traditions, and identities. With all this, they carry a large cultural and emotional value of what could be lost – certainly beyond the traditional calculus of economic losses.

In many cases, it is not possible or advisable to conduct reconstruction on cultural heritage sites post-disaster. Therefore, the essence and soul of a cultural heritage site is at risk of being lost forever, making preparedness and preservation even more critical.

How can we protect these special places and traditions from the threat of natural hazards?

Making schools more resilient in Afghanistan

Julian Palma's picture
 Rumi Consultancy/ World Bank
A primary school teacher in western Herat Province is teaching her students numbers with toys. Photo Credit: Rumi Consultancy/World Bank

In Afghanistan, access to education has been a successful driver of development over the last seventeen years.

In 2001, one million children--almost none of them girls-- were enrolled in 3,400 schools. In 2015, there was a nine-fold increase in enrolment with more than eight million students in 16,400 schools, of whom almost 40 percent were girls.

While it's encouraging to see progress in access to education, the quality and safety of the school facilities are not as reassuring : One of every two students in Afghanistan learns in overcrowded temporary shelters or in fragile outdoor conditions.
 
Given Afghanistan's vulnerability to natural disasters, it's urgent to build safer schools and rehabilitate older facilities in order to protect lives.

If an earthquake were to hit Afghanistan on a school day, 5 million students would be affected. 

In the past, addressing infrastructure resilience has been a challenge since information regarding current and future disaster and climate risk has been extremely limited and fragmented.

Compounded by decades of conflict, this has undermined Afghanistan's ability to cope and effectively respond to natural disasters.

Go with the flow – adaptive management for urban flood risk

Adeline Choy's picture
Photo: Flooding in Yangon. Source: Flickr


The future is uncertain. It’s hard to know exactly how our climate will change. That means there is also deep uncertainty around its impacts on flooding, the most prevalent disaster worldwide. Floods account for 43% of all recorded disaster events in the past 20 years. Will climate change exacerbate flooding events? How much will sea level rise? How extreme will rainfall be?

What we do know is that the best way to cope with uncertainty is flexibility.

While it may be difficult to predict impacts, we can – and must – take action. Growing uncertainty means preparation is even more urgent. To meet future challenges, we need adaptable urban flood management today.

Better forecast, better preparedness – investing in improved weather services

Adeline Choy's picture

Sun or rain? Most of us rely on the daily weather forecast to know what to wear or whether to bring an umbrella. However, for millions of people living in flood prone areas, timely and accurate forecasts, as well as early warning, can impact more than just clothing choices –they can help minimize flooding impacts.
 
Floods are the most frequent and damaging among natural hazards. Between 1980 and 2016, floods led to economic damages exceeding US$1.6 trillion, and more than 225,000 people losing their lives. Compounded by rapid urbanization and climate change, these losses will likely increase, especially in fast-growing countries.


Pages