Abstract. Hydro-numerical models are increasingly important to
determine the adequacy and evaluate the effectiveness of potential flood
protection measures. However, a significant obstacle in setting up
hydro-numerical and associated flood damage models is the tedious and
oftentimes prohibitively costly process of acquiring reliable input data,
which particularly applies to coastal megacities in developing countries and
emerging economies. To help alleviate this problem, this paper explores the
usability and reliability of flood models built on open-access data in
regions where highly resolved (geo)data are either unavailable or difficult
to access yet where knowledge about elements at risk is crucial for
mitigation planning. The example of Ho Chi Minh City, Vietnam, is taken to
describe a comprehensive but generic methodology for obtaining, processing
and applying the required open-access data. The overarching goal of this
study is to produce preliminary flood hazard maps that provide first insights
into potential flooding hotspots demanding closer attention in subsequent,
more detailed risk analyses. As a key novelty, a normalized flood severity
index (INFS), which combines flood depth and duration, is proposed to
deliver key information in a preliminary flood hazard assessment. This index
serves as an indicator that further narrows down the focus to areas where
flood hazard is significant. Our approach is validated by a comparison with
more than 300 flood samples locally observed during three heavy-rain events
in 2010 and 2012 which correspond to INFS-based inundation hotspots in
over 73 % of all cases. These findings corroborate the high potential of
open-access data in hydro-numerical modeling and the robustness of the newly
introduced flood severity index, which may significantly enhance the
interpretation and trustworthiness of risk assessments in the future. The
proposed approach and developed indicators are generic and may be replicated
and adopted in other coastal megacities around the globe.