Sustainable management and planning of hydropower generation in West Africa under climate change and land use/land cover dynamics

水力发电（HPG）是全球最大的可再生能源，具有多用途功能，特别是在西非（WA），它对能源安全做出了重大贡献。然而，该源对气候变化敏感，预测的HPG与不确定性有关。HPG预计变化的幅度和符号因流域和国家而异。在未来的HPG在西澳的部分原因是与缺乏观测数据，限制了模型的校准和模拟ofhydrogendynamics，也与不确定性与气候预测用于迫使水文和水资源模型。与社会经济发展相关的土地利用变化虽然至关重要，但却很少得到考虑，特别是在多用途水坝方面。因此，大坝管理者和地方当局很难在这些不确定性下做出决策或计划，以实现气候弹性路径。该项目旨在与HPG利益攸关方（大坝管理者、地方决策者、民间社会代表）建立实践社区，以应对西澳大利亚州气候-土地-能源-水关系方面的挑战、协同作用和权衡，以便在气候和土地利用变化的背景下对HPG进行可持续管理和规划。这将通过与利益攸关方举办两次启发式和参与式讲习班，为“随机森林，使用缩小尺度的气候数据”（自上而下的方法）和“决策缩放”（自下而上的方法）项目的早期职业研究人员举办两次培训班来实现，这些培训将与加纳、塞内加尔、布基纳法索和科特迪瓦的4个主要水坝中的每一个的当地利益攸关方一起实施。在实施过程中，该项目将根据这3种实践的比较研究结果促进4个案例研究之间的共享和共同学习。该项目针对可持续发展目标13（气候）、6（水）和7（能源）之间的联系，对可持续发展目标15（土地）和17（伙伴关系）产生积极影响，以实现可持续人类发展目标

Hydropower generation (HPG) represents the largest renewable electricity source with multiple purpose functions worldwide especially in WestAfrica (WA) where it contributes significantly to the energy security. However, this source is sensitive to climate change and projected HPG areassociated with uncertainties. The magnitude and the sign of projected change of HPG vary according to the river basin and country. Part ofuncertainties in the future of HPG in WA is associated with the lack of observations data which limit the calibration of models and the simulation ofhydrological dynamics and also, with uncertainties associated with climate projections used to force hydrological and water resources models. Landuse changes associated with socioeconomic development are rarely taken into account while they are crucial, especially over multi-purpose dams. Itbecomes then difficult for dam managers and local authorities to make decisions or to plan under these uncertainties in the aim to engage in a climateresilient pathway. This project aims to build communities of practice with HPG stakeholders (dam managers, local policy makers, representative ofcivil society) to address the challenges, synergies and trade-off in the climate land energy water nexus in WA for a sustainable management andplanning of HPG under a context of climate and land use changes. This will be achieved through two elicitation and participatory workshops with stakeholders, two training sessions to Early Career Researchers of the project on "Random Forest, use of downscaled climate data" (top-down methods) and "Decision Scaling" (bottom-up method) which will be implemented with local stakeholders in each of the 4 major dams in Ghana, Senegal, Burkina Faso and Ivory Coast. During the implementation, the project will foster sharing and common learning between the 4 case studies from results of comparative study of these 3 practices. The project targets the nexus between SDG 13 (climate), 6 (water) and 7 (energy) with positive effects on SDG 15 (land) and 17 (partnership) for sustainable HPG