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What El Niño has taught us about infrastructure resilience

Irene Portabales González's picture
Also available in: Español
Photo: Ministerio de Defensa del Perú/Flickr
The rains in northern Peru have been 10 times stronger than usual this year, leading to floods, landslides and a declaration of a state of emergency in 10 regions in the country. Together with the human and economic toll, these downpours have inflicted tremendous damage to transport infrastructure with added and serious consequences on people’s lives.

These heavy rains are blamed on El Niño, a natural phenomenon characterized by an unusual warming of the sea surface temperature in the central and eastern equatorial Pacific Ocean. This phenomenon occurs every two to seven years, and lasts about 18 months at a time. El Niño significantly disrupts precipitation and wind patterns, giving rise to extreme weather events around the planet.

In Peru, this translates into rising temperatures along the north coast and intense rainfall, typically shortly before Christmas. That’s also when “huaicos” appear. “Huaico,” a word that comes from the Quechua language (wayq’u), refers to the enormous masses of mud and rocks carried by torrential rains from the Andes into rivers, causing them to overflow. These mudslides result from a combination of several natural factors including heavy rains, steep slopes, scarce vegetation, to name a few. But human factors also come into play and exacerbate their impact. That includes, in particular, the construction of human settlements in flood-prone basins or the absence of a comprehensive approach to disaster risk management.

This year’s floods are said to be comparable to those caused by El Niño in 1997-1998, one of the largest natural disasters in recent history, which claimed the lives of 374 people and caused US$1.2 billion worth of damages (data provided by the Peruvian National Institute of Civil Defense).

Climate and disaster risk in transport: No data? No problem!

Frederico Pedroso's picture
Development professionals often complain about the absence of good-quality data in disaster-prone areas, which limits their ability to inform projects through quantitative models and detailed analysis.
 
Technological progress, however, is quickly creating new ways for governments and development agencies to overcome data scarcity. In Belize, the World Bank has partnered with the government to develop an innovative approach and inform climate-resilient road investments through the combination of creativity, on-the-ground experience, and strategic data collection.
 
Underdeveloped infrastructure, particularly in the transport sector, is a key constraint to disaster risk mitigation and economic growth in Belize. The road network is particularly vulnerable due to the lack of redundancy and exposure to natural hazards (mostly flooding). In the absence of alternative routes, any weather-related road closure can cut access and severely disrupt economic and social movement.
 
In 2012, the government made climate resilience one of their key policy priorities, and enlisted the World Bank’s help in developing a program to reduce climate vulnerability, with a specific focus on the road network. The institution answered the call and assembled a team of experts that brought a wide range of expertise, along with experience from other climate resilience interventions throughout the Caribbean. The program was supported by Africa, Caribbean and Pacific (ACP) European Union funds, managed by the Global Facility for Disaster Reduction and Recovery (GFDRR).
 
Our strategy to address data scarcity in Belize involves three successive, closely related steps.

Building Climate Resilience into Timor Leste’s Roads

Chris Bennett's picture

The only thing worse than taking 5 hours to drive 106 km along winding and often damaged mountainous roads, is the realization that having reached your destination you have to turn around and repeat the trip to get home. That was in the forefront of my mind as I sat in the very quiet town of Ainaro, south of the capital in Dili.