By Julian Palma
To associate a gunshot with foul play seems logical. But that’s not necessarily the case in Guldara, a district nearly 40 kilometres outside of Kabul City in Afghanistan.
Gunshots typically come from communities living at the top of the mountain to warn vulnerable downhill communities of potential flooding from the Guldara river. The Guldara river is both a blessing and a curse for the local communities.
Its water is the main source of livelihood since nearly 75 percent of the local economy depends on agriculture. It is also a threat to life and assets. In March 2017, when the mountain snow melted, heavy floods killed two children and washed away the only road that connects the city with Kabul.
A quick tour through Guldara shows that years of conflict and insecurity have devastated much of its infrastructure, including its irrigation and drainage systems.
Residents claim that early warning systems are non-existent and no emergency recovery plans or services are in place if a disaster strikes.
On the positive side, there is strong community support—including women—to use available technology to map out potential hazards and manage disaster risks smarter.
To support these efforts, the World Bank together with experienced Afghan staff and international partners conducted risk surveys using available technology, such as social media and phone interviews, as well as community focus group discussions involving Community Development Council (CDC) members, to gather preliminary community risk profile information.
Data was later incorporated into a hazard map created using an open-source Geographical Information System
(GIS) called Quantum GIS—or better known as QGIS—that identifies the potential hazards faced by the local community.
Based on the hazard map, community members have now identified and proposed Disaster Risk Reduction (DRR) measures designed to mitigate the effects of specific natural hazards.
Hence, women expressed different needs and DRR priorities. Below are a few of the mitigation measures, disaggregated by gender, proposed by the community:
- Female community member recommendations women’s micro-finance, woman-focused Disaster Risk Management (DRM) training, and community loan facilities.
- Male community member recommendations a micro hydro project and a deep well for irrigation.
- Recommendations from both male and female community members included a protection wall for the river, a food storage facility to ensure security, a reservoir and a canal intake to deal with the increasing drought.
Recommendations from the community serve as useful inputs to select, plan, and implement resilient infrastructure to build a safer and more inclusive Guldara — and may be supported through the Citizen Charter Afghanistan Program Project (CCAP).
The World Bank also supported two other communities within the scope of this pilot activity and is now working with these three communities to prioritize and implement eligible DRR activities to complete the community-based DRM value chain shown below.
The community-based DRM value chain links community selection, engagement and participation through design, funding, implementation, and monitoring. Every link in the value chain is strong and ultimately should build demand-driven resilience in communities. If the chain stops at any given stage, there is limited value. In a fragile environment like Afghanistan, the community-based DRM approach helps strengthen the social contract between the Afghan government, CDCs, and community members to transform fragility into resilience, especially in remote or inaccessible communities.
Leveraging opportunities made possible by available technology and the role that women can play in DRM, together with the Afghanistan National Disaster Management Authority (ANDMA), other related government ministries and development partners, including the United Nations Office for the Coordination of Humanitarian Assistance (UNOCHA), the World Bank is investigating how to mainstream and scale up the framework tested in the pilot project at the national level.