Conference Agenda

As pluvial flooding intensifies under climate change, Nature-Based Solutions (NBS) offer a promising solution to mitigate flooding by capturing and reducing runoff. However, planning effective NBS for pluvial flood mitigation is challenging due to the wide range of potential implementations across a catchment and complex interactions with stormwater drainage networks. Existing target-oriented approach, while effective for rapid planning of NBS for stormwater quality and quantity control, struggles with pluvial flooding reduction objectives. We propose a framework that generates NBS strategies to meet annual average damage reduction (AAD) targets in a fast and exploratory manner. The framework employs efficient scenario exploration by screening flood volume reduction scenarios under individual design storms. It then takes a data-driven approach to identify the minimum required flood volume reduction for the desired decrease in AAD as NBS planning targets. After implementing NBS in the screened scenarios, the most probable and effective NBS strategies are selected for long-term performance assessment. A semi-continuous simulation approach is applied to reduce simulation time whilst accounting for the antecedent conditions in NBS before each flood-inducing rainfall event. This framework empowers stakeholders with clear communication on the long-term benefits of NBS implementation and offers a valuable tool for rapid NBS planning.