Abstract. Current climate modelling frameworks present significant uncertainties when it comes to quantifying flood quantiles in the context of climate change, calling for new information and strategies in hazard assessments. Here, state-of-the-art methods on hydraulic and statistical modelling are applied to historical and contemporaneous flood records to evaluate flood hazards beyond natural climate cycles. A comprehensive flood record of the Duero River in Zamora (Spain) was compiled from documentary sources, early water-level readings and continuous gauge records spanning the last 500 years. Documentary evidence of flood events includes minute books (municipal and ecclesiastic), narrative descriptions, epigraphic marks, newspapers and technical reports. We identified 69 flood events over the period 1250 to 1871, of which 15 were classified as catastrophic floods, 16 as extraordinary floods and 38 as ordinary floods. Subsequently, a two-dimensional hydraulic model was implemented to relate flood stages (flood marks and inundated areas) to discharges. The historical flood records show the largest floods over the last 500 years occurred in 1860 (3450 m3 s−1), 1597 (3200 m3 s−1) and 1739 (2700 m3 s−1). Moreover, at least 24 floods exceeded the perception threshold of 1900 m3 s−1 during the period (1500–1871). Annual maximum flood records were completed with gauged water-level readings (pre-instrumental dataset, PRE: 1872–1919) and systematic gauge records (systematic dataset, SYS: 1920–2018). The flood frequency analyses were based on (1) the expected moments algorithm (EMA) and (2) the maximum likelihood estimator (MLE) method, using five datasets with different temporal frameworks (historic dataset, HISTO: 1511–2018; PRE–SYS: 1872–2018; full systematic record, ALLSYS: 1920–2018; SYS1: 1920–1969; and SYS2: 1970–2018). The most consistent results were obtained using the HISTO dataset, even for high quantiles (0.001 % annual exceedance probability, AEP). PRE–SYS was robust for the 1 % AEP flood with increasing uncertainty in the 0.2 % AEP or 500-year flood, and ALLSYS results were uncertain in the 1 % and 0.2 % AEP floods. Since the 1970s, the frequency of extraordinary floods (>1900 m3 s−1) declined, although floods on the range of the historical perception threshold occurred in 2001 (2075 m3 s−1) and 2013 (1654 m3 s−1). Even if the future remains uncertain, this bottom-up approach addresses flood hazards under climate variability, providing real and certain flood discharges. Our results can provide a guide on low-regret adaptation decisions and improve public perception of extreme flooding.

Abstract. Current climate modelling frameworks present significant uncertainties when it comes to quantifying flood quantiles in the context of climate change, calling for new information and strategies in hazard assessments. Here, state-of-the-art methods on hydraulic and statistical modelling are applied to historical and contemporaneous flood records to evaluate flood hazards beyond natural climate cycles. A comprehensive flood record of the Duero River in Zamora (Spain) was compiled from documentary sources, early water-level readings and continuous gauge records spanning the last 500 years. Documentary evidence of flood events includes minute books (municipal and ecclesiastic), narrative descriptions, epigraphic marks, newspapers and technical reports. We identified 69 flood events over the period 1250 to 1871, of which, 15 were classified as catastrophic floods, 16 as extraordinary floods, and 38 as ordinary floods. Subsequently, a 2D-hydraulic model was implemented to relate flood stages (flood marks and inundated areas) into discharges. The historical flood records show the largest floods over the last 500 years occurred in 1860 (3450 m3/s), 1597 (3200 m3/s), and 1739 (2700 m3/s). Moreover, at least 24 floods exceeded the perception threshold of 1900 m3/s during the period (1500–1871). Annual maximum flood records were completed with gauged water-level readings (PRE: 1872–1919) and systematic gauge records (SYS: 1920–2018). The flood frequency analyses were based on (1) Expected Moments Algorithm (EMA) and (2) Maximum Likelihood Estimator (MLE) method, using five datasets with different temporal frameworks (HISTO: 1511–2018, PRE-SYS: 1872–2018, ALLSYS: 1920–2018, SYS1: 1920–1969, and SYS2: 1970–2018). The most consistent results were obtained using the HISTO dataset, even for high quantiles (0.001 % AEP). PRE-SYS was robust for the 1 % AEP flood with increasing uncertainty in the 0.2 % AEP or 500-year flood, and ALLSYS results were uncertain in the 1 % and 0.2 % AEP floods. Since the 1970s, the frequency of extraordinary floods (> 1900 m3/s) declined, although floods on the range of the historical perception threshold occurred in 2001 (2075 m3/s) and 2013 (1654 m3/s). Even if the future remains uncertain, this bottom-up approach addresses flood hazards under climate variability providing real and certain flood discharges. Our results can provide a guide on low-regret adaptation decisions and improve public perception of extreme flooding.

During the laboratory practices of a subject, students write all the data, methodology, development and final results for later study at home. When a certain period of time passes since the essay was carried out, there are details that many of the students forget. They do not relate the methodology and development with the laboratory equipment used. The use of audiovisual resources can help students to better study the practical part of the subject.The new teaching resources will be applied in a block of the Hydraulics subject, which is included in the second year of the degree in Civil Engineering, at the Algeciras School of Engineering and Technology. The subject has a theoretical-practical part and another of laboratory practices. The course is divided into three blocks: Hydrostatics, Hydrokinematics and Hydrodynamics. The article will focus on the improvement of the teaching resources of the part of the laboratory practices, of the hydrostatics block.Audio-visual resources will consist of explanatory videos with the development of laboratory practices. The videos show for each of the tests the initial data, the methodology to be applied and the development of the practice. These videos help students to reinforce the knowledge acquired in the laboratory. In addition, the use of these resources helps Erasmus students (for language reasons) to understand the practices. Additionally, the generated material can be used as a resource in the case of non-face-toface practices (as in previous courses due to the Covid-19 pandemic). For the implementation of this initiative, a teaching innovation project has been developed.Eventually, the students show a great interest in the virtualization of the laboratory practices and a high degree of satisfaction with the available videos. Moreover, their academic results improved slightly with this new methodology.

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