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20 results for “flood adaptation”
Flood Hazard Maps and Associated Data for Case Study: Funding rules that promote equity in climate adaptation outcomes
<p>Inundation grids for multiple return periods and multiple scenarios. Please see the underlying study for more details about the methods. The data here can be reproduced following the code and instructions at this repository: https://github.com/CoRE-Lab-UCF/Pollack_et_al_2024/tree/main. Also available here: https://doi.org/10.5281/zenodo.14515896. </p>
Comprehensive Automatic Processing and Analysis of Adaptive Optics Flood Illumination Retinal Images
<p>A collaborative research group has established this database to support AO-FIO image utilization and evaluation of photoreceptor detection. <br> Please cite the following publication when using the database:</p> <p>Eva Valterova, Jan D. Unterlauft, Mike Francke, Toralf Kirsten, Radim Kolar, and Franziska G. Rauscher, "Comprehensive automatic processing and analysis of adaptive optics flood illumination retinal images on healthy subjects," Biomed. Opt. Express <strong>14</strong>, 945-970 (2023)<br> <br> The database can be utilized in connection with our application MATADOR for AO-FIO image registration and analysis, which is freely available on:</p> <p>https://github.com/evavalterova/MATADOR.git</p> <p>The database includes</p> <ul> <li>over 200 flood illumination adaptive optics images of 10 normal healthy subjects. Each folder includes 10 images of the right eye (denoted by OD) and 10 images of the left eye (denoted by OS) with their preliminary determined retinal position during image acquisition.</li> <li>foveal and peripheral patches. Each consists of 40 cropped regions from the set of 200 images. In each cropped region are manually labeled positions of photoreceptors by three evaluators.</li> <li>axial lengths of 10 subjects in ".xlsx" file<br> </li> </ul>
Supplementary data for "ENGINEERED ADAPTATION MECHANISMS BETWEEN MARINE AND FRESHWATER ENVIRONMENTS IN FISH AFTER THE FLOOD" for the ICC 2023 in Cedarville, Ohio
<p>Supplementary data for "ENGINEERED ADAPTATION MECHANISMS BETWEEN MARINE AND FRESHWATER ENVIRONMENTS IN FISH AFTER THE FLOOD" for the ICC 2023 in Cedarville, Ohio.</p> <p>These include FishBase annotation, mtDNA sequence similarity matrixes, clustering, and statistics for nine fish orders:</p> <p>1. Acipenseriformes</p> <p>2. Angulliformes</p> <p>3. Beloniformes</p> <p>4. Characiformes</p> <p>5. Clupeiformes</p> <p>6. Cyprinodontiformes</p> <p>7. Elasmobranchii</p> <p>8. Pleuronectiformes</p> <p>9. Salmoniformes</p>
Output Data for "Effective adaptation options to alleviate nuisance flooding in coastal megacities – learning from Ho Chi Minh City, Vietnam"
<p>This data repository pertains to the research article "Effective adaptation options to alleviate nuisance flooding in coastal megacities - learning from Ho Chi Minh City, Vietnam" by Leon Scheiber, Nivedita Sairam, Mazen Hoballah Jalloul, Kasra Rafiezadeh Shahi, Christian Jordan, Jan Visscher, Tara Evaz Zadeh, Laurens J.N. Oostwegel, Danijel Schorlemmer, Ngo Thanh Son, Hong Nguyen Quan, Torsten Schlurmann, Matthias Garschagen, Heidi Kreibich, published in Earth’s Future, 2024.</p> <p>The provided output data comprise:<br>- Risk Components (incl. inundation depths, exposed households and building values as well as relative losses)<br>- Expected Annual Damage (incl. 25/50/75th percentiles)<br>- Annually Affected Households </p> <p> </p>
Adaptation time to magnified flood hazards underestimated when derived from tide gauge records [dataset]
<p>This dataset contains the data supporting the manuscript Lambert et al., Adaptation time to magnified flood hazards underestimated when derived from tide gauge records, submitted to Environmental Research Letters.</p> <p>All files contain two main variables:<br> AF is the amplification factor as a function of [station, time, scenario]<br> DT is the doubling time as a function of [station, scenario]</p> <p>Note that these files contain data of all 299 available stations, rather than the subset of 130 presented in the manuscript.</p> <p>Filenames:<br> diss_AWL.nc Average Water Level at dissipative beaches<br> diss_IWL.nc Instantaneous Water Level at dissipative beaches<br> grd_AWL.nc Average Water Level at gentle rocky dikes<br> grd_IWL.nc Instantaneous Water Level at gentle rocky dikes<br> harbour.nc Average and Instantaneous Water Level at harbours, excluding wave contributions<br> srd_AWL.nc Average Water Level at steep rocky dikes<br> srd_IWL.nc Instantaneous Water Level at steep rocky dikes<br> ssb_AWL.nc Average Water Level at steep sandy beaches<br> ssb_IWL.nc Instantaneous Water Level at steep sandy beaches<br> tidegauge.nc Tide gauge-based analysis</p>
First Street Foundation's National Flood Adaptation Database
<p>In order to create a national model with complete coverage of the contiguous United States, the First Street Foundation Flood Model relies on nationally available data that consistently represents the hydrologic conditions of the United States. However, most of this data represents the natural environment better than the modifications made by human activity that impact hydrology and therefore flooding. To make this model as accurate a representation of actual flood risk as possible, First Street has spent considerable time and effort to build a database of “grey” and “green” infrastructure and adaptation projects that affect the flow of water and therefore flooding.</p> <p>Grey Flood control projects include a variety of traditional infrastructure solutions like levees, pump stations, and flood control channels. Many green infrastructure projects also contribute to flood reduction, such as wetland restoration, floodable open space, retention basins, and creek rehabilitation projects. The First Street Foundation Flood Model also records and accounts for climate adaptation projects such as beach renourishment projects that are designed to counteract the effects of rising seas.</p> <p>This data is collected from state, county, and city agencies across the United States. It is digitized by drawing the area for which a structure is providing flood protection and assigned a level of protection provided. These service areas can range in size from a few residential blocks to a small city. Each feature is associated with one or more sources of flooding for which it provides protection. Estimates of the level of protection are based on the return period to which it will continue to function.</p> <p>This data is accounted for in the hydraulic and hydrologic model in several different ways. In most places, water is blocked within the model from entering a service area. This is similar to how a levee operates in real life, blocking water from entering a given location and pushing it somewhere else. Importantly, water is not removed from the model. In other cases like various runoff reduction green infrastructure projects, the service area of the project represents a change in the underlying soil classification within the hydrologic model. This replicates the way green infrastructure projects reduce runoff from their service area. In still other projects such as pump stations, the service area represents an adjustment to the flow of water in an area. Just as a pump station has a certain flowrate at which it will continue to be effective, even in an event beyond its design standard, this is represented in the model by removing an amount of flooding from an area equivalent to the modeled flow in the project’s service area at the design standard. So a pump station designed for a 5 year event would always remove the equivalent of the 5 year event, even in a 100 year event.</p> <p>You can download a sample of the database through Zenodo. If you wish to acquire the adaptation database, you can do so by reaching out to First Street Foundation <a href="https://firststreet.dev/register">here</a>.</p>
Adaptation required to preserve future high-end river flood risk at present levels
<p>Dataset accompanying the publication</p> <p>S.N. Willner, A. Levermann, F. Zhao, K. Frieler, Adaptation required to preserve future high-end river flood risk at present levels. Sci. Adv. 4, eaao1914 (2018).</p> <p>The dataset includes the increase in flood protection that is required to keep the observed high-end flood risk of the past constant in the next 25 years as well as the affected population in both periods used (1971-2004 and 2035-2044).</p>
Data for Tropical Cyclones flood hazards and impacts in Beira for study "Exploring coastal climate adaptation through storylines: Insights from Cyclone Idai in Beira, Mozambique"
<p>Data for Tropical Cyclones flood hazards and impacts in Beira for study "Exploring coastal climate adaptation through storylines: Insights from Cyclone Idai in Beira, Mozambique"<br><br><span><a href="../api/records/12664900/draft/files/hmax_idai_ifs_rebuild_bc_hist_rain_surge_noadapt.tiff/content" target="_blank" rel="noopener noreferrer">hmax_idai_ifs_rebuild*</a> -> Flood maps<br><a href="../api/records/12664900/draft/files/spatial_idai_ifs_rebuild_bc_3c-hightide_rain_surge_retreat.gpkg/content" target="_blank" rel="noopener noreferrer">spatial_idai_ifs_rebuild*</a> -> Impacts<br></span></p>
Survey instrument, data, and code for paper "Freihardt, Buntaine, Bernauer (2024): Choosing to protect: Public support for flood defense over relocation in climate change adaptation. Environmental Research Letters. DOI 10.1088/1748-9326/ad6781"
<p>This is the survey instrument, data, and code underlying the manuscript:</p> <p>"Freihardt, Buntaine, Bernauer (2024): Choosing to protect: Public support for flood defense over relocation in climate change adaptation. Environmental Research Letters. DOI 10.1088/1748-9326/ad6781"</p>
Dataset for Resistance of Australian fish communities to drought and flood: implications for climate change and adaptations
<p>Data and code analyzing fish response to extreme drought and flood in Australia's Murray Darling Basin. Original fish data can be found here: <a href="https://www.gbif.org/dataset/f38cc07c-49a8-4ca4-8882-5cdde1733c12"><u>https://www.gbif.org/dataset/f38cc07c-49a8-4ca4-8882-5cdde1733c12</u></a>. Original rainfall data can be found here: http://www.bom.gov.au/climate/maps/rainfall/?variable=rainfall&map=totals&period=month®ion=nat&year=2004&month=01&day=31 </p>
Data supporting the manuscript: Demonstrating the value of beaches for adaptation to future coastal flood risk
<p>*Forcing hydrograms used to compute the flooding maps in .mat format.</p> <p>*Geodatabase of Pre-storm flooding maps </p> <p>*Geodatabase of Post-storm flooding maps</p>
Data from: Resistance of Australian fish communities to drought and flood: implications for climate change and adaptations
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Benefit-cost analysis of adaptation objectives to coastal flooding at the global scale
<p>This dataset presents results of benefit-cost analyses of different adaptation objectives using grey infrastructure to coastal flooding at the global scale. </p> <p>The four adaptation objectives are: (1) ‘Protection constant’, which keeps protection levels in the future the same as current protection levels; (2) ‘Absolute risk constant’, which calculates future protection standards when the absolute value for expected annual damage is kept the same as current; (3) ‘Relative risk constant’, which calculates future protection standards when expected annual damage as a percentage of GDP is kept the same as current; and (4) ‘Optimize’, which calculates future protection standards by maximizing net present value.</p> <p>The results for each adaptation objective include future protection standards, change in risk relative to GDP, benefit-cost ratio and net present value for various RCP-SSP combinations for sub-national regions.</p>
Subspecies and Distribution. T.n.napuF.Cuvier,1822—SMyanmar,Thai/MalayPeninsula,islandsoffWMalayPeninsula(Langkawi&Pangkor),Borneo,SSumatra,BangkaI,islandsoffBorneo(Laut&Serasan). T.n.bangue:Chasen&Kloss,1931—BanggiIandBalembanganI,offNBorneo. T.n.bunguranensisMiller,1901—NatunaIs(=Bunguran),oftWBorneo. T.n.neubronneriSody,1931—NSumatra. T.n.nmiasisLyon,1916—NiasI,offWSumatra. T.n.rufulusMiller,1900—TiomanI,offEMalayPeninsula,RiauandLinggaArchipelagos. T. n. terutus Thomas & Wroughton, 1909 — Terutau I, off W Malay Peninsula. The species was recently reconfirmed for Singapore. Maps that include Vietnam, Cambodia, and Laos in the distribution range are based on the earlier assumption that 7. versicolor was a subspecies of 1. napu. Subsequent studies have indicated that 7. versicolor is a distinct species, and that the range of 1. napu therefore does not extend into Cambodia, Laos, and Vietnam. The northern limit on the Thai-Malay peninsula is not well defined. Specimens of 1. napu have been collected from as far north as Bankachon in southern Myanmar (10° 08" N), but despite fairly intensive camera-trapping in Kui Buri National Park, Thailand (12° N), 7. napu has not been photographed there. At the northern margin ofits range, it is generally rare. It has been reported, for example, that during the flooding of the Chiew Larn Reservoir (Surat Thani Province; about 9° N, 98° 45' E), only six 7. napu were rescued compared with 172 71. kanchil. This area is the transition zone from wetter evergreen forest to drier deciduous types, and it might be that 7° napu is not well adapted to the drier forest types towards the northern limit ofits range. There are unconfirmed reports of the species on Java, where it may have been confused with one of the two color morphs of 7. javanicus. As explained in the Taxonomy section, the subspecific status of the populations of several islands remains unclear. in Tragulidae
Subspecies and Distribution. T.n.napuF.Cuvier,1822—SMyanmar,Thai/MalayPeninsula,islandsoffWMalayPeninsula(Langkawi&Pangkor),Borneo,SSumatra,BangkaI,islandsoffBorneo(Laut&Serasan). T.n.bangue:Chasen&Kloss,1931—BanggiIandBalembanganI,offNBorneo. T.n.bunguranensisMiller,1901—NatunaIs(=Bunguran),oftWBorneo. T.n.neubronneriSody,1931—NSumatra. T.n.nmiasisLyon,1916—NiasI,offWSumatra. T.n.rufulusMiller,1900—TiomanI,offEMalayPeninsula,RiauandLinggaArchipelagos. T. n. terutus Thomas & Wroughton, 1909 — Terutau I, off W Malay Peninsula. The species was recently reconfirmed for Singapore. Maps that include Vietnam, Cambodia, and Laos in the distribution range are based on the earlier assumption that 7. versicolor was a subspecies of 1. napu. Subsequent studies have indicated that 7. versicolor is a distinct species, and that the range of 1. napu therefore does not extend into Cambodia, Laos, and Vietnam. The northern limit on the Thai-Malay peninsula is not well defined. Specimens of 1. napu have been collected from as far north as Bankachon in southern Myanmar (10° 08" N), but despite fairly intensive camera-trapping in Kui Buri National Park, Thailand (12° N), 7. napu has not been photographed there. At the northern margin ofits range, it is generally rare. It has been reported, for example, that during the flooding of the Chiew Larn Reservoir (Surat Thani Province; about 9° N, 98° 45' E), only six 7. napu were rescued compared with 172 71. kanchil. This area is the transition zone from wetter evergreen forest to drier deciduous types, and it might be that 7° napu is not well adapted to the drier forest types towards the northern limit ofits range. There are unconfirmed reports of the species on Java, where it may have been confused with one of the two color morphs of 7. javanicus. As explained in the Taxonomy section, the subspecific status of the populations of several islands remains unclear.
Fig. 3. Flood debris from which the sample for Appendix 1 in Coleoptera in Floods: Biotic Surveys, Fish Food, Adaptation, Reconstruction of Paleoenvironments, and Preconstruction of Neoenvironments
Fig. 3. Flood debris from which the sample for Appendix 1 was taken: Rock Creek Trail, Kensington, Maryland, USA, 21 April 2017.
Fig. 2 in Coleoptera in Floods: Biotic Surveys, Fish Food, Adaptation, Reconstruction of Paleoenvironments, and Preconstruction of Neoenvironments
Fig. 2. Jong-Seok Park and Sarah Samson collecting beetles in a temporary pond created by a flash flood in Hidalgo Co., New Mexico, USA during 2 August 2014. Insert: Beetles waiting out the flood.
Data supporting the manuscript: "Demonstrating the value of beaches for adaptation to future coastal flood risk"
<p>* TWL scenarios used to force the flooding model in a .mat structure</p> <p>* Flooded areas obtained for the different TWL scenarios in a .mat structure considering the topobathymetry at the maximum TWL instant and just after the storm</p> <p>* Flooded damages obtained for the different TWL scenarios in a .mat structure at the maximum TWL instant and just after the storm</p> <p> </p>
The flooded habitat adaptation, niche differentiation and evolution of Myristicaceae trees in the Western Ghats biodiversity hotspot in India
<p><span>Environmental heterogeneity is considered as one of the main drivers of habitat specialization and niche evolution among tropical plant lineages, and local scale habitat specialization promotes niche differentiation among sister taxa. In this study, we examined the degree to which habitat specialization lead to niche differentiation across the distribution range of a given species using five species of the family Myristicaceae native to Western Ghats, India as an example. In the Western Ghats, Myristicaceae species occur in two main habitat types, namely freshwater swamps (flooded habitat), and terra-firme forest (non-flooded habitat) distributed across a seasonal flooding gradient. First, we reconstructed the evolutionary history of flooded habitat specialization among global and Western Ghats Myristicaceae by mapping flooded habitat association and traits conferring flood tolerance (example: aerial roots) on a dated phylogeny. Then we investigated climatic niche differences among lineages occupying flooded and terra-firme habitats using occurrence data and environmental variables. Our analysis revealed swampy habitat occurrence as the probable ancestral state with subsequent speciation events leading to adaptation to non-swampy habitats. We also show that traits conferring flood tolerance have evolved independently several times during the evolution of Myristicaceae. Furthermore, phylogenetically distantly related Myristicaceae taxa occupying different habitats (flooded and terra-firme habitat) in Western Ghats show significant niche divergence. Overall, the repeated gain of swampy habitat specialization and associated morphological traits and evidence for habitat associated climatic niche divergence among Myristicaceae taxa suggest that seasonal flooding may have been an important driver of ecological diversification in this primitive plant family.</span></p>
Fig. 1 in Coleoptera in Floods: Biotic Surveys, Fish Food, Adaptation, Reconstruction of Paleoenvironments, and Preconstruction of Neoenvironments
Fig. 1. "Beetles in a Flood" (from Lydekker 1896, facing page 128).
The flooded habitat adaptation, niche differentiation and evolution of Myristicaceae trees in the Western Ghats biodiversity hotspot in India
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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