Assessing flood exposure in informal districts: a case study of Bujumbura, Burundi

Evaluating flood adaptation governance in the city of Calabar, Nigeria

“…A system that recognises the practices powers of all stakeholders may generate cross-sectoral understanding, help build capacity, share needed information, and build commitment to flood adaptation and has a stronger potential of ensuring vertical and horizontal cooperation. This is in-line with the suggestions by workshop participants and similar studies (see Bottazzi et al (2019), Adelekan (2016), Kubwarugira et al (2019)) that integrating all stakeholders' views, institutions and interests in the planning of strategy and direction for flood adaptation yields insight into issues, challenges, concerns, and opportunities which may not otherwise have been known or fully understood.…”

Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method

“…Besides, climate change is alternating the hydrometeorological patterns in terms of frequency, irregularity, and severity of precipitation which has led to the rise of the life-threatening hydrological disasters (Hennequin et al, 2018;Serago and Vogel, 2018;Shkolnik et al, 2018). On the other hand, the vulnerability to hydrological disasters, e.g., the flood has recently been magnified due to the rapid urbanization and population growth, particularly in the developing countries (Ahmadalipour et al, 2019;Casagrande et al, 2017;Kubwarugira et al, 2019). Thus, for the purpose of mitigation and planning to extreme events, more than ever, there is an urge for the advancement of reliable modeling techniques to accurately identify the hazardous areas (Chiang and Ling, 2017;Frigerio et al, 2018;Henriksen et al, 2018).…”