Green Hydrogen Technologies for Systems Transformation: Building a compilation of national strategies, plans and projects 2024 (Part 2)

The 2023 compilation of national strategies, plans and projects on Green Hydrogen Technologies for Systems Transformation intends to distil what has been learnt to date on green hydrogen and equip countries with the knowledge and capacity to understand and assess available system transformation options, including opportunities and challenges, to reach net zero emission targets. 

Climate change and overgrazing have severely degraded pasturelands, threatening the livelihoods of rural herding communities in Mongolia. This study assessed the potential to enhance climate resilience and economic sustainability by improving pastureland management, developing community-scale meat processing systems, and building the capacity of herding communities. By strengthening the resilience of livestock farming, sustainable livelihoods for vulnerable herding families are ensured while mitigating the impact of climate change.

Areas of Burundi are exposed to both floods during the rainy season and droughts during the dry season, both worsened by climate change and destroying crops. To address this, SLAMDAM, a low-cost, climate resilient, and easily replicable solution of water-filled rubber barriers was deployed, to stop damage from flooding and store water for use during droughts.

Informal street vending poses challenges related to regulation, food security, and urban planning in Bahamas. This project standardizes vending architecture and creates climate-smart open green market spaces for street vendors, reducing the impact of extreme weather events. The infrastructure uses renewable energy, waste management, and water facilities, improving the livelihoods of vendors while promoting sustainability

Frequent and severe flooding, exacerbated by climate variability and change, poses significant risk to communities and infrastructure in Mali. This project develops a real-time flood risk mapping system using precipitation forecasts, remote sensing, and deep learning techniques. The initiative aims to enhance the existing early warning system by improving the accuracy and timeliness of flood predictions, ultimately reducing the impact of floods on vulnerable communities in selected rural area.