Search

About 10% of Europe's surface area is prone to rapid flooding of rivers confined in valleys. The devastating potential of such floods is exacerbated by the deficits of existing gauging networks, including low station densities and recording frequencies, and lack of information beyond stage height. Here, we use seismic data of the July 2021 Ahrtal flood, Germany, to extract information to complement sparse hydrometric data, and to reconstruct the rapid evolution of this fatal event. We show that a seismic station can deliver essential flood metrics such as magnitude, propagation velocity and debris transport rate. These seismic products provide high resolution insight to the non‐linear flood behavior. We argue that an approach combining distributed low‐cost seismometers with existing seismic stations, can provide important real time data on future catastrophic floods and associated hazards in upland catchments, offering precious response time also in currently ungauged landscapes. Plain Language Summary: Rapidly evolving floods are a major hazard for 10% of European landscapes. They are hard to adequately detect and describe by the classic gauge station scheme, but seismic sensors provide a valuable alternative to this difficulty. A seismometer can sense a flood like the devastating one that hit the Ahr valley, Germany, in July 2021 up to 1.5 km away. The seismic footprint of the flood allows to provide information on flood magnitude, velocity and trajectory at sub‐minute resolution and at near real time. We show how this new approach can be utilized for future flood protection. Key Points: Seismic sensing of valley confined floods improves classic detection approachesNear‐real time information on flood magnitude, trajectory, and velocityGate keeper seismometer networks can improve flood risk management in Europe [ABSTRACT FROM AUTHOR]

Objectives: The objective of this study was to systematically review quantitative and qualitative studies on the public's knowledge and beliefs about antibiotic resistance.Methods: We searched four databases to July 2014, with no language or study design restrictions. Two reviewers independently extracted data. We calculated the median (IQR) of the proportion of participants who agreed with each statement and synthesized qualitative data by identifying emergent themes.Results: Of 3537 articles screened, 54 studies (41 quantitative, 3 mixed methods and 10 qualitative) were included (55 225 participants). Most studied adults (50; 93% studies) and were conducted in Europe (23; 43%), Asia (14; 26%) or North America (12; 22%). Some participants [median 70% (IQR 50%-84%); n = 8 studies] had heard of antibiotic resistance, but most [median 88% (IQR 86%-89%); n = 2 studies] believed it referred to changes in the human body. Many believed excessive antibiotic use [median 70% (IQR 59%-77%); n = 11 studies] and not completing antibiotic courses [median 62% (IQR 47%-77%); n = 8 studies] caused resistance. Most participants nominated reducing antibiotic use [median 74% (IQR 72%-85%); n = 4 studies] and discussing antibiotic resistance with their clinician (84%, n = 1 study) as strategies to reduce resistance. Qualitative data supported these findings and additionally identified that: participants believed they were at low risk from antibiotic resistance participants; largely attributed its development to the actions of others; and strategies to minimize resistance should be primarily aimed at clinicians.Conclusions: The public have an incomplete understanding of antibiotic resistance and misperceptions about it and its causes and do not believe they contribute to its development. These data can be used to inform interventions to change the public's beliefs about how they can contribute to tackling this global issue. [ABSTRACT FROM AUTHOR]