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21 results for “flood simulation”
Benchmarking (multi)wavelet-based dynamic and static non-uniform grid solvers for flood inundation modelling (Simulation results)
<p>Simulation result data for Environment Agency benchmark test 5, Thamesmead hypothetical flood, and Carlisle 2005 case studies, using uniform DG2, adaptive MWDG2, adaptive HWFV1, non-uniform DG2, non-uniform FV1 and non-uniform ACC solvers. </p> <p>Model results are archived in 3 zip files:</p> <ul> <li>EA5.zip contains results of Environment Agency test 5 (Néelz and Pender, 2013)</li> <li>Thamesmead.zip contains results of Thamesmead hypothetical flood (Liang et al., 2008)</li> <li>Carlisle.zip contains results of Carlisle 2005 flooding (Neal et al., 2009)</li> </ul> <p>The results are stored with the following file extensions:</p> <ul> <li>".wd" for 2D flood inundation maps in ESRI ASCII format</li> <li>".stage" for water depth or water level time-series at staging points in tabulated text format</li> <li>".velocity" for velocity time-series at staging points in tabulated text format</li> </ul> <p>Model outputs are stored under directories named for each solver.</p> <p><strong>References</strong></p> <p>Néelz, S., & Pender, G. (2013). Benchmarking the latest generation of 2D hydraulic modelling packages. <em>Environment Agency: Bristol, UK</em>.</p> <p>Liang, Q., Du, G., Hall, J. W., & Borthwick, A. G. (2008). Flood Inundation Modeling with an Adaptive Quadtree Grid Shallow Water Equation Solver. <em>Journal of Hydraulic Engineering</em>, <em>134</em>(11), 1603–1610. https://doi.org/10.1061/(ASCE)0733-9429(2008)134:11(1603)</p> <p>Neal, J. C., Bates, P. D., Fewtrell, T. J., Hunter, N. M., Wilson, M. D., & Horritt, M. S. (2009). Distributed whole city water level measurements from the Carlisle 2005 urban flood event and comparison with hydraulic model simulations. <em>Journal of Hydrology</em>, <em>368</em>(1–4), 42–55. https://doi.org/10.1016/j.jhydrol.2009.01.026</p> <p> </p>
A flood inundation hindcast for Europe based on 26-year simulated river discharge
<p>This data set contains hydrodynamic simulations at 1 km for Europe between 1990-2016 at a daily time step for 298 basins.</p>
Phosphorus release from intact soil monoliths of manure amended fields under simulated snowmelt flooding
<p class="MsoNoSpacing">Anaerobic conditions developed in soils with flooding can enhance the release of soil phosphorus (P) to overlying water, but little information is available for soils with a long history of manure application. We examined the P release from manure-amended soils under simulated snowmelt flooding. Intact monoliths from manured (solid-swine, SSM or liquid swine, LSM) and unamended (control) field plots were collected from Carman, Manitoba. Monoliths were frozen for seven days, then thawed, flooded and incubated at +4±1 °C. Redox potential, pH, and concentrations of dissolved reactive P (DRP), Ca, Mg, Fe and Mn in pore water and floodwater were determined weekly up to 56 days after flooding (DAF), and then at 84 DAF. Redox potential decreased with DAF with a greater, and more rapid, decrease in SSM (from initial value of ~300 mV to < 0 mV by 84 DAF) compared to LSM and control (~100 mV by 84 DAF). Pore water and floodwater DRP concentrations were significantly greater in manured treatments than the control at all DAFs, and in SSM than LSM for most DAFs. While floodwater DRP concentrations remained relatively stable in the control treatment, concentrations in manured treatments increased substantially from the onset of flooding to 35-42 DAF (3-4-fold increase) and remained relatively stable thereafter. Significantly greater P release from SSM- than LSM-treated monoliths was due to greater input of P, as well as the higher organic matter content in SSM treated soils. These favored the rapid development of anaerobic conditions that further induced P release.</p>
Dataset for: Phosphorus mobilization from intact soil monoliths flooded under simulated summer versus spring snowmelt with intermittent freeze-thaw conditions
<p>Enhanced phosphorus (P) release from flooded, anaerobic soils have been extensively studied under summer temperatures, but not under cold temperatures with intermittent freeze-thaw events. We investigated the temperature and freeze/ thaw effects during flooding on the release of P to floodwater from soil monoliths (15-cm depth) collected from eight agricultural fields in Manitoba. Soil monoliths were flooded with reverse osmosis water and incubated for 56 d under simulated summer flooding (SSF, 22±1 ℃), or snowmelt flooding with intermittent freeze thaw (IFT, 4±1 ℃ with intermittent freezing) in triplicates. Redox potential (Eh), pore water and floodwater dissolved reactive P (DRP) concentrations, pH and concentrations of Ca, Mg, Fe and Mn were determined weekly. In seven soils, Eh decreased rapidly with days after flooding (DAF) under SSF to values < 200 mV, but not under IFT. Pore water and floodwater DRP concentrations significantly increased with DAF in all soils under SSF, and in seven soils under IFT. While DRP concentrations were consistently greater under SSF than IFT in four soils, other soils had similar concentrations at certain DAFs. Significant relationships between ion concentrations and redox status , that fitted both IFT and SSF data in most soils, suggests that similar redox-driven mechanisms are responsible for the P release; however, less P is released under IFT than SSF, since soils were not severely reduced under IFT. Substantial P release in a few soils under IFT, appeared to be unrelated to redox status, suggesting other P release mechanisms that are not redox driven.</p>
3D Flood Simulation of Samarinda Seberang-Samarinda City
<p>A 3D video illustrates the flood in Samarinda Seberang District-Samarinda City, East Kalimantan, Indonesia. From this simulation, we can see that the water began to inundate the lowland areas, especially in the Sungai Keledang, Baqo, Mesjid, and Tenun Villages, and continued to spread to higher regions, flooding some of the Gunung Panjang and Mangkupalas Villages.<br>This 3D simulation was created using a combination of remote sensing technology with ArcGIS 3D simulation software.</p>
HCN1 voltage sensor flooding simulations with propofol
<p>Flooding simulations of HCN1 voltage sensing domain in the resting (from 5U6O) and activated (from 6UQF) state simulated with propofol. Simulations were repeated in duplicate from the same starting configuration (restingVSD.gro or activeVSD.gro). Poses for the published binding site obtained from PyLipID were depositied in the Resting Simulations directory in the folder PyLipIDposes</p>
Phosphorus release from intact soil monoliths of manure amended fields under simulated snowmelt flooding
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Dataset for: Phosphorus mobilization from intact soil monoliths flooded under simulated summer versus spring snowmelt with intermittent freeze-thaw conditions
Open the record for dataset details and reuse information.
Data from: Phosphorus release from unamended and gypsum-or biochar-amended soils under simulated spring snowmelt and summer flooding conditions
<p>Prolonged flooding changes the oxidation–reduction status of soils, often enhancing phosphorus (P) release to overlying floodwater. We studied P release from unamended, gypsum-amended and biochar- amended soils under simulated snowmelt flooding (previously frozen, cold flooding at +4°C) and summer flooding (unfrozen, warm flooding at +22°C), using two soils, Fyala clay (FYL-Cl) and Neuenberg sandy loam (NBG-SL) from Manitoba, Canada. Amended and unamended soils were packed into vessels and flooded under cold and warm temperatures in the laboratory. Pore water and floodwater samples were taken weekly for 6 weeks after flooding (WAF) and thereafter biweekly for 10 WAF, and analyzed for dissolved reactive P (DRP), pH and cation concentrations. NBG-SL showed a significantly higher DRP concentration in pore water and floodwater despite its low Olsen P content. Redox potential (Eh) decreased slowly under cold compared to warm flooding; hence redox-induced P release was substantially lower under cold flooding. Gypsum amendment significantly decreased the floodwater DRP concentrations in NBG-SL by 38% and 35% under cold and warm flooding, respectively, but had no significant effect in FYL-Cl, which had low DRP concentrations (<1.2 mg L-1) throughout flooding period. Biochar amendment significantly increased floodwater DRP concentrations by 27 to 68% in FYL-Cl under cold and warm flooding, respectively, but had no significant effect in NBG-SL. The results indicate substantially less P release under cold, than under warm flooding. Gypsum was effective in reducing floodwater DRP concentrations only at high DRP concentrations; thus the effectiveness was greater under warm, than under cold flooding conditions.</p>
LISFLOOD-FP 8.1: New GPU accelerated solvers for faster fluvial/pluvial flood simulations - video supplement
<p>These are video supplement files to Sharifian et al. (2022), to give step-by-step instructions on how to download and install LISFLOOD-FP8.2, and reproduce the simulations for representative case studies. For a full description of the methodology and case studies, please refer to the manuscript.</p>
LISFLOOD-FP 8.1: New GPU accelerated solvers for faster fluvial/pluvial flood simulations - simulation results
<p>Simulation result data for Sharifian et al. (2022) for the following case studies:</p> <p>1- Lower Triangle catchment</p> <p>2- Upper Lee catchment</p> <p>3- Eden catchment</p> <p>4- Glasgow urban area</p> <p>5- Cockermouth urban area</p>
Postfire flood simulation data
<p>Simulation results of rainfall-runoff events over the upper Cañada del Oro (CDO) watershed using KINEROS2 described in the paper "Temporal persistence of postfire flood hazards under present and future climate conditions in southern Arizona, USA" by <strong>Tao Liu</strong><strong>, Luke A. McGuire, Ann M. Youberg, Charles J. Abolt, Adam L. Atchley</strong>.</p>
Rapid Flood Simulation and Source Area Identification in Urban Environments via Interpretable Deep Learning
<p>Here is the data and original code for the paper titled <em>Rapid Flood Simulation and Source Area Identification in Urban Environments via Interpretable Deep Learning</em>. If you have any questions, please contact <a rel="noopener">202331470015@mail.bnu.edu.cn</a>.</p>
Rapid Flood Simulation and Source Area Identification in Urban Environments via Interpretable Deep Learning
<p>Here are the relevant data and preliminary code for the paper titled 'Rapid Flood Simulation and Source Area Identification in Urban Environments via Interpretable Deep Learning' for your reference. If you have any questions, please contact <a rel="noopener">202331470015@mail.bnu.edu.cn</a>.</p>
Global asymmetries in the influence of ENSO on flood risk based on 1600 years of hybrid simulations - Submission - Data Supplement
<p>This contribution contains data and analysis scripts for the manuscript "Global asymmetries in the influence of ENSO on flood risk based on 1600 years of hybrid simulations" by Lenin Del Rio Amador, Mathieu Boudreault and David A. Carozza.</p>
Video simulations for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"
<p>Videos of the comparison between numerical and deep learning simulations for test datasets 1, 2, and 3 for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks".</p>
A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas
<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>
A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas
<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>
Data from: Phosphorus release from unamended and gypsum-or biochar-amended soils under simulated spring snowmelt and summer flooding conditions
Open the record for dataset details and reuse information.
Supplementary Data: Measured values of 13 flood events in the upper watershed of Qingshan Hydrological Station and their simulation results by two models
<p>The files in this record contain measured data of 13 flood events and simulated flood processes from the XAJ and CM-XAJ models considered for publication in Water Resources Research.</p><p> </p><p>The files consist of:</p><p> </p><p>Measured values for 13 flood events of Qingshan Hydrological Station;</p><p>Source code (incomplete) and results of the XAJ Model;</p><p>Source code (incomplete) and results of the CM-XAJ Model;</p><p>Source code of Genetic Algorithm with recourse model.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.