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89 results for “river flooding”
Fig. 3 in The Influence Of Spring Flood Water Levels On The Distribution And Numbers Of Terns (On The Example Of The Lower Desna River)
Fig. 3. Distribution of tern colonies on the Lower Desna in 2013–2014.
GEOLAB - RES FLUCTIS project: Assessing River Embankments Stability to FLoods through Unsaturated Centrifuge Testing In transient Seepage conditions
<p>River floods rank among the most significant natural hazard in Europe, causing substantial economic and human losses and are frequently due to severe damages endured by water retaining earthworks, under extreme weather events. Forecasting models suggest that climate change will be a determining factor in intensifying the hydrological cycle, with a far-reaching impacts on runoff regimes of streams and watercourses, thus significantly reducing the return times of droughts and flood events. This means that existing water retaining infrastructures, such as earthen river embankments, are expected to withstand extreme stresses, being subjected to hydraulic loading hardly experienced in the past, in terms of duration and intensity. </p> <p>In this framework, a reliable assessment of the existing river embankments safety conditions, represents a key aspect to enhance the resilience of these critical infrastructures (CI). A satisfactory solution to this problem cannot disregard the partially saturated state of the earthfill, neither the role of river stage fluctuations on the seepage process within the embankments. Nevertheless, in the current engineering practice, these aspects are frequently neglected, mainly due to the difficulties in estimating the actual suction distribution and shear strength, thus providing erroneous conclusions on the effective safety margins towards potential failure mechanisms.</p> <p>The <strong>RES FLUCTIS (<em>Assessing River Embankments Stability to FLoods through Unsaturated Centrifuge Testing In transient Seepage conditions</em>)</strong> project aims at contributing to a better understanding of the effect of time-dependent hydraulic loadings on the stability of a river embankment model, subjected to simulated high-water events, through a series of centrifuge tests.</p> <p>The experiments were carried out at the Schofield Centre of the University of Cambridge (UK), on the 150 g-ton Turner beam centrifuge, with a nominal radius of 4.125 m and a payload of 1000 kg. In the first centrifuge test, water level was gradually increased, up to three incremental elevations, and each of them was maintained until a steady-state flow regime was established within the embankment body.</p> <p>A sequence of hydrometric peaks and drawdowns of constant intensity and duration, was applied in the second test, with the aim of replicating wetting-drying cycles, which river embankments typically experience under site conditions.</p> <p>The small-scale physical model, tested under the enhanced gravity field of 50 g, was characterized by a compacted embankment, made of a natural silty sand, representative for a typical embankment section of the Alpine and Apennine riverbank systems of the main river Po (Northern Italy), which have recently experienced multiple overall collapses and breaches. The earth structure was founded on a fully saturated homogeneous Speswhite kaolin layer, 1D consolidated.</p> <p>To investigate the hydro-mechanical behaviour and the possible failure mechanisms of the CI model, induced by stationary and transient hydraulic boundary conditions, in-house built miniaturized tensiometers, pore pressure transducers, displacement sensors, high-resolution cameras and flow meters were installed.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Fig. 1 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour
Fig. 1. Map of the Pilcomayo River basin.
Fig. 2 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour
Fig. 2. Fish trap in the Pilcomayo River. In the inset the Sábalo (Prochilodus lineatus).
Data from: Smaller future floods imply less habitat for riparian plants along a boreal river
Open the record for dataset details and reuse information.
Extent of severe flooding events in the Spercheios river, Greece (OAL-GR)
<p>The ambition of H2020 OPERANDUM project is to develop and document Nature Based Solutions (NBS) to mitigate risks associated with hydro-meteorological (HM) hazards. NBS mitigate risks by reducing the vulnerability of a particular system. The aim of this work is to demonstrate the use of multisource remote sensing data in documenting the impact of extreme HM events to advance knowledge on vulnerability and exposure. In particular the focus is to document past impacts due to extreme events selected from a characterization of recent (30 years) HM events in 11 Open Air Laboratories (OALs) where co-design, co-development and deployment of NBS are taking place. The impacts were documented by applying a wide spectrum of satellite image data and other, close – range, remote sensing techniques. A better understanding of the consequences due to extreme HM events in a particular area (OALs) is essential to identify elements at risk and expected to provide a reference to evaluate the reduction of vulnerability and mitigation of risks past the completion of NBS.</p> <p>This dataset contains Remote Sensing observations for the OAL-Greece , notably:</p> <p>- Flood maps of the identified extreme flood events occurred in the Spercheios River (Greece) in the last 30 years derived by Space-borne Remote Sensing observations </p> <p>- Top and Bottom of Atmosphere reflectance, RS indicators and SAR backscatter used to derive the flood maps. </p>
Extent of severe flooding events in the Panaro river, Italy (OAL-IT)
<p>The ambition of H2020 OPERANDUM project is to develop and document Nature Based Solutions (NBS) to mitigate risks associated with hydro-meteorological (HM) hazards. NBS mitigate risks by reducing the vulnerability of a particular system. The aim of this work is to demonstrate the use of multisource remote sensing data in documenting the impact of extreme HM events to advance knowledge on vulnerability and exposure. In particular the focus is to document past impacts due to extreme events selected from a characterization of recent (30 years) HM events in 11 Open Air Laboratories (OALs) where co-design, co-development and deployment of NBS are taking place. The impacts were documented by applying a wide spectrum of satellite image data and other, close – range, remote sensing techniques. A better understanding of the consequences due to extreme HM events in a particular area (OALs) is essential to identify elements at risk and expected to provide a reference to evaluate the reduction of vulnerability and mitigation of risks past the completion of NBS.</p> <p>This dataset contains Remote Sensing observations for the OAL-Italy , notably:</p> <p>- Flood maps of the identified extreme flood events occurred in the Panaro river (Italy) in the last 30 years derived by Space-borne Remote Sensing observations </p> <p>- Top and Bottom of Atmosphere reflectance, RS indicators and SAR backscatter used to derive the flood maps. </p> <p> </p>
Extent of severe flooding events in the Elbe river, Germany (OAL-DE)
<p>The ambition of H2020 OPERANDUM project is to develop and document Nature Based Solutions (NBS) to mitigate risks associated with hydro-meteorological (HM) hazards. NBS mitigate risks by reducing the vulnerability of a particular system. The aim of this work is to demonstrate the use of multisource remote sensing data in documenting the impact of extreme HM events to advance knowledge on vulnerability and exposure. In particular the focus is to document past impacts due to extreme events selected from a characterization of recent (30 years) HM events in 11 Open Air Laboratories (OALs) where co-design, co-development and deployment of NBS are taking place. The impacts were documented by applying a wide spectrum of satellite image data and other, close – range, remote sensing techniques. A better understanding of the consequences due to extreme HM events in a particular area (OALs) is essential to identify elements at risk and expected to provide a reference to evaluate the reduction of vulnerability and mitigation of risks past the completion of NBS.</p> <p>This dataset contains Remote Sensing observations for the OAL-Greece , notably:</p> <p>- Flood maps of the identified extreme flood events occurred in the Elbe river, Germany (OAL-DE) in the last 30 years derived by Space-borne Remote Sensing observations </p> <p>- Top and Bottom of Atmosphere reflectance, RS indicators and SAR backscatter used to derive the flood maps. </p>
The nonstationary research of flood coincidence of Huai River and its tributaries based on copula function.
<p>The daily streamflow data extracted from3 selected stations from the Huaihe Basin, China.</p>
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