This report provides a flood risk assessment of the Isiolo River Basin, in collaboration with Nelen & Schuurmans (3Di, FIS Tool) and Zephyr Consulting (SLAMDAM). This flood risk assessment includes a study of the current flood risk management in Kenya, and in the Isiolo River Basin in particular, because the need for proper flood management is urgent: various climate studies predict an increase in rainfall and an increase in flood risk as a result of the effects of climate change. Current flood risk management is inadequate. Kenya has defined 21 flood-prone areas whereof one of them is Isiolo Town. Isiolo Town is located in the ENN basin which is, relatively, the most prone to the effects of climate change compared to the other basins. Furthermore, the ENN basin currently has the highest poverty rate and avoidance of further enlargement in poverty rate is important, so there is a need to mitigate flood risks. Since Isiolo Town is located in the Isiolo River Basin, this basin has been chosen for an in-depth study. The Isiolo River Basin is an Arid Semi-Arid Land region which is often prone to flash floods. Isiolo Town is a flat area located downstream of mountainous area, the rain which falls upstream flows fast downstream and converges into town, often resulting in inundation. Many hazards, both natural and others, are increasing the flood risk in the basin and specifically Isiolo Town. This flood risk demands flood risk mitigation measures. One possible measure is the SLAMDAM. The SLAMDAM is a movable water-filled flood-barrier. One dam has a length of 5 meters and a height of 1 meter and the dams can be connected to a desired length. The water stored in the dam can be used afterwards for irrigation or other uses. To recommend effective areas to implement the SLAMDAM, 3Di and the FIS Tool are used. 3Di is a hydrodynamic model and it creates flood maps for different rain events. These flood maps are used as input for the FIS Tool. The FIS Tool calculates the benefits for deploying the SLAMDAM at a certain location for a particular length. The locations which result in the highest benefit are recommended to deploy the SLAMDAM in case of particular rain events. However, a site visit is required to see whether the modelled situation aligns with the real-life situation and to see whether boundary conditions are met. The SLAMDAM is also compared to other flood risk mitigation measures. Some were analysed using the FIS Tool, whereas others are evaluated based on five self-formulated ranking criteria. These criteria form the base of a scoring matrix where each relevant mitigation measure is scored on. The performed research has shown the SLAMDAM to rank the best compared to other mitigation measures, both when using the scoring matrix and when using the FIS Tool. However, it is highly recommended to use the SLAMDAM in combination with a Flood Early Warning System. In this way the community downstream can be warned in time to deploy the SLAMDAM. The FIS Tool is found to be especially valuable in finding proper locations for deployment and the dam can be stored close to these locations, enabling fast deployment of the dam in case of need.

Cities worldwide are facing increasing impacts from climate hazards such as heavy precipitation, heat stress, flooding, and drought, exacerbated by climate change. This study focuses on unembanked areas (NL: buitendijkse gebieden), vulnerable to flooding due to factors like sea-level rise, river peak discharges, and land subsidence. However, there are many plans for (re)development in Dutch unembanked areas for the coming years. To address these challenges and avoid passing on consequences of what we build now to future generations, effective adaptation measures are crucial. The study investigates the decision-making process for local flood risk measures in unembanked areas, examining appropriate evaluation methods and stakeholders' needs. Qualitative research methods, including expert interactions, a literature review, case studies, and interviews, were employed. Although there are not evaluation methods, the Dutch multi-level safety approach and resilience-based planning methods like adaptative pathway and adaptative tipping point were found applicable to guide the decision-making process in unembanked area development. For evaluation methods, multi-criteria analysis (MCA) emerged as a suitable tool for decision-making in unembanked area development, considering social values and intangible criteria. Combining MCA with cost-effectiveness analysis (CEA) or a form of cost-benefit analysis (CBA) proved effective in balancing quantitative and qualitative criteria, facilitating inclusive decision-making. The research emphasizes the extensive involvement of various stakeholders and identifies barriers related to legal aspects, risk awareness, and communication. Stakeholders call for well-defined guidelines, legal regulations, and collaboration between private and public entities. The study recommends establishing principles for unembanked area development and translating them into MCA criteria, addressing both social values and local characteristics. Further research is suggested to address legal assurance for climate-adaptive construction, increase awareness, enhance flood risk assessment methods and communication, and strengthen collaboration between private and public stakeholders in flood risk management and spatial planning.