Floods are consistently ranked as the most financially devastating natural disasters worldwide. Recent flood events in the Netherlands, Caribbean, and US have drawn attention to flood risks resulting from pluvial and fluvial sources. Despite shared experiences with flooding, these regions employ distinct approaches and flood management strategies due to differences in governance and scale—offering a three-site case study comparison. A key, yet often lacking, factor for flood risk and damage assessments at the parcel level is building elevation compared to flood elevation. First-floor elevations (FFEs) are a critical element in the vulnerability of a building flooding. US-based flood insurance policies require FFEs; however, data availability limitations exist. Drone-based FFEs were measured in all locations to assess the flood vulnerabilities of structures. Flood vulnerability profiles revealed 64% of buildings were vulnerable to a form of inundation, with 40% belonging to “moderate” or “major” inundation, and inundation elevation means (IEMs) of −0.55 m, 0.19 m, and 0.71 m within the US, Netherlands, and Puerto Rico sites, respectively. Spatial statistics revealed FFEs were more responsible for flood vulnerabilities in the US site while topography was more responsible in the Netherlands and Puerto Rico sites. Additional findings in the Puerto Rico site reveal FFEs and next highest floor elevations (NHFEs) vulnerable to future sea level rise (SLR) flood elevations. The findings within the Netherlands provide support for developing novel multi-layered flood risk reduction strategies that include building elevation. We discuss future work recommendations and how the different sites could benefit significantly from strengthening FFE requirements.

In the field of flood risk reduction, comparative international work is rare. Even more so are book-length treatments that look not only across international boundaries, but disciplines as well. Coastal Flood Risk Reduction does just that and more. This book is the most systematic, integrated, and detailed study of flooding ever produced between the Netherlands and the Upper Texas Coast in the United States. Based on an ongoing 6-year collaborative investigation, 43 authors representing numerous academic entities in both countries contributed 35 chapters addressing seemingly every angle of the problem and their potential solutions. Even more unique, this body of work is driven by a place-based research and learning approach to address floods, where students provide the inspiration for inquiry and innovation.

Coastal Flood Risk Reduction: The Netherlands and the U.S. Upper Texas Coast represents the culmination of a 5-year international research and education partnership funded by the US National Science Foundation (NSF) and more than 10 years of collaboration between Dutch and U.S. flood experts on the basic issue of how to protect society from growing flood risks. Multiple case studies integrating the fields of engineering, hydrology, landscape architecture, economics, and planning address the underlying characteristics of physical flood risks and their prediction; human communities and the associated built environment; physical, social, and built-environment variables; and mitigation techniques. In recognition of the lack of systematic research and the growing societal need to better understand flood impacts, this edited book provides an in-depth, comparative evaluation of flood problems and solutions in two key places: the Netherlands and the U.S. Upper Texas Coast. Both regions are extremely flood-prone and have experienced continual adverse impacts throughout their histories. For researchers in flood management, geographers, hydrologists, environmental studies, and social science as well as policymakers and decision-makers in flood management authorities and related industries, this book provides an essential resource.

As there is increasing emphasis on transformative education and authentic learning in interdisciplinary research projects, it is meaningful to investigate how to effectively design a multidisciplinary research and education program to ensure beneficial outcomes for participating students. This is especially important for ocean and coastal engineering programs that are likely the most multidisciplinary engineering programs. The NSF PIRE Coastal Flood Risk Reduction Program is an international place and problem-based research education program in which students conduct case studies across the Houston-Galveston metropolitan area in the U.S. and in the Netherlands. There are three to four designated case studies (place-based) annually in each country, covering both surge-based and precipitation-driven flood problems (problem-based). From 2016 to 2018, there were three student research trips to the Netherlands (one each year, after the spring semesters). A total of 42 U.S. students, graduate and undergraduate were selected from four participating U.S. campuses apply for a designated Dutch case study. The three to four case studies change every year. Students from diverse disciplines, including engineering, planning, economics, hydrology, biology, architecture, geography, communications, and computational hydraulics, interested in flood risk reduction can apply. Those accepted into the Program are placed in interdisciplinary research teams composed of 5-6 students: 1-2 PhD, 2-3 Masters, and 2-3 undergraduate students. The teams are guided by project faculty mentors from both U.S. and Dutch partner institutions. A two-week long research trip to the Netherlands provides transformative education and an authentic learning environment through field trips, meetings with Dutch flood experts, lectures, and participation in design workshops. Students are required to present their research work three times while they are in the Netherlands: 5-minute research plan; 10-minute research progress; and 15-minute final presentation. By preparing these presentations, students learn how to collect data, interview stakeholders, lead/participate in brain-storming discussions, and adjust/improve their research products. Students also learn how to interact with people from different disciplines and look at the issues from diverse perspectives. This article describes the design process of the Program, from initial development through implementation. Reflections and lessons learned from the first three years of the Program are shared.

Rescue requests during large-scale urban flood disasters can be difficult to validate and prioritise. High-resolution aerial imagery is often unavailable or lacks the necessary geographic extent, making it difficult to obtain real-time information about where flooding is occurring. In this paper, we present a novel approach to map the extent of urban flooding in Harris County, Texas during Hurricane Harvey (August 25–30, 2017) and identify where people were most likely to need immediate emergency assistance. Using Maximum Entropy, we predict the probability of flooding based on several spatially-distributed physical and socio-economic characteristics coupled with crowdsourced data. We compare the results against two alternative flood datasets available after Hurricane Harvey (i.e., Copernicus satellite imagery and riverine flood depths estimated by FEMA), and we validate the performance of the model using a 15% subset of the rescue requests, Houston 311 flood calls, and inundated roadways. We find that the model predicts a much larger area of flooding than was shown by either Copernicus or FEMA when compared against the locations of rescue requests, and that it performs well using both a subset of rescue requests (AUC 0.917) and 311 calls (AUC 0.929) but is less sensitive to inundated roads (AUC 0.721).