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Alligator Gar, Atractosteus spatula, is an iconic species native to lowland floodplain river systems where they play an important role as top predators and by linking landscapes through their movement. Alligator Gar is also an important native fisheries species in the Trinity River. Disruption of river-floodplain connectivity is implicated in declining populations of Alligator Gar across much of its range. Successful management and conservation of Alligator Gar populations will be aided by an understanding of the relationship between flow and recruitment, particularly the availability and suitability of off-channel habitats utilized by this species for reproduction.
Intense rainfall during the 10-day period of March 8-17, 2021 resulted in flooding, landslides, property damage, and road closures across the State of Hawaii. The islands of Kauai, Oahu, Molokai, and Maui are known to have been affected. The U.S. Geological Survey (USGS) operates 71 real-time stream-gaging stations and 49 peak-streamflow gaging stations on these islands. This data release contains a summary of provisional peak-streamflow information from selected gaging stations during March 8-17, 2021, in relation to the historic record. This data release may be revised and updated as additional data are collected and analyzed.
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Digital flood-inundation maps for coastal communities within Cape May County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents...
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The U.S. Geological Survey (USGS) Central Midwest Water Science Center (CMWSC) completed a report (Over and others, 2023) documenting methods for peak-flow frequency analysis in Illinois following Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in Illinois, Indiana, and Wisconsin, based on data through water year 2017 (a water year is the period from October 1 to September 30 and is designated by the year in which it ends; for example, water year 2017 was from October 1,...
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This data release contains results of a high-water mark survey across Upstate New York following flash flooding during July 9-10, 2023. The survey was conducted between July 12 and September 20, 2023 by U.S. Geological Survey (USGS) personnel, and is based on surveyed elevations of mud, debris, and seed lines (Koenig and others, 2016) left by the flooding. Real-time and static Global Navigation Satellite System (GNSS) surveying (Rydlund and Densmore, 2012), combined with differential leveling (Kenney, 2010), were used to determine high-water mark elevations at 186 locations. Additional data associated with the July 2023 flooding, such as photos of the survey locations, can be found in the USGS Flood Event Viewer,...
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Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood-frequency estimates at those streamgages. However, flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This dataset contains the supporting tables and updated hydrologic region boundaries used in the 2017 flood-frequency study for Georgia, South Carolina, and North Carolina.
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The U.S. Geological Survey Central Midwest Water Science Center completed a report (Over and others, 2023) documenting methods, results, and applications of an updated flood-frequency study for the State of Illinois. The study developed regional regression equations that relate the peak-flow quantiles and the basin characteristics of selected streamgages in Illinois, Indiana, and Wisconsin, based on data through water year 2017 (a water year is the period from October 1 to September 30 and is designated by the year in which it ends; for example, water year 2017 was from October 1, 2016, to September 30, 2017). The data provided through this data release are those digital datasets of basin characteristics that have...
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Digital flood-inundation maps for coastal communities within Cape May County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents...
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Digital flood-inundation maps for coastal communities within Atlantic County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents...
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Digital flood-inundation maps for coastal communities within Monmouth County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents...
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Digital flood-inundation maps for coastal communities within Monmouth County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents...
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Digital flood-inundation maps for coastal communities within Cape May County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents...
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A high spatial resolution storm surge model was developed for the YK Delta area to assess biological impacts of storm surges under current and future climates. Storm surges are expected to be more frequent and more severe in the YK Delta area due to climate change and sea level rise. The biological impacts in the YK Delta due to the changed storm surges could be extreme.The model was assessed with respect to measured water level data at the coast and, where available, spatial extent of inundation, for 6 storms from the period 1992 to 2011. In total, inundation projections from 9 historical storms (5 from the assessment + 4 others) were developed. For each storm, an spatial inundation index (time-integral of water...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ARCHAEOLOGICAL AREAS, ARCHAEOLOGICAL AREAS, Academics & scientific researchers, COASTAL AREAS, COASTAL AREAS, All tags...
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This U.S. Geological Survey (USGS) data release contains results from the 2020 and 2021 geomorphic survey of North Fork Eagle Creek, New Mexico. Both geomorphic surveys were conducted by the USGS, in cooperation with the Village of Ruidoso, New Mexico, and are the last set of surveys in a planned series of five annual geomorphic surveys of the stream reach located between the North Fork Eagle Creek near Alto, New Mexico, streamflow-gaging station (USGS site 08387550) and the Eagle Creek below South Fork near Alto, New Mexico, streamflow-gaging station (USGS site 08387600). Specifically, there are two data release files, one each for the 2020 and 2021 surveys, that include the results from 14 cross-section surveys...
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This data release provides flood depth GeoTIFFs based on sea-level rise and wave-driven total water levels for the coast of the most populated Hawaiian Islands of Oahu, Molokai, Kauai, Maui, and Big Island. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding in the populated Hawaiian Islands due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10-m2 resolution along the coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise scenarios.
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This data release provides flooding extent polygons based on sea-level rise and wave-driven total water levels for the coast of the most populated Mariana Islands of Guam and Saipan. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10-m2 resolution along these islands coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise scenarios.
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This data release consists of a comma-delimited ascii file with attributes for 21 U.S. Geological Survey streamgage sites in Hawai‘i and Southeast Alaska selected to enable assessment of how floods might change in a future climate. Floods in Hawai‘i and Southeast Alaska have led to loss of human life; damage to agricultural crops, cultural and biological resources, infrastructure, and property; threats to public health; and conditions that are highly disruptive to residents and visitors. Floods are generated by atmospheric and terrestrial processes that may be enhanced or depressed in response to climate change. Understanding the mechanisms that generate floods can be useful for assessing how floods may change in...
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These data were compiled to perform analyses of hydrologic change, changes in sediment transport, and channel change within Moenkopi Wash, Arizona. Objective(s) of our study were to quantify the magnitude and timing of changes in hydrology, sediment transport, and channel form within Moenkopi Wash and to determine the downstream effects of those changes on sediment delivery downstream to the Little Colorado River, and the Colorado River. These data represent instantaneous discharge records, suspended-sediment sample records, topographic survey data, historical aerial imagery, and channel polygons and centerlines mapped on the historical imagery. Instantaneous discharge records in this study began in 1926 and extend...
Tags: Arizona, Cameron, Colorado River, Little Colorado River, Moenkopi, All tags...
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Digital flood-inundation maps for coastal communities within Cape May County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents...
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This dataset features inundated areas connected to the main channel at discharges from 15,000 cfs to 95,000 cfs. The spatial extent for floodplain inundation modeling in the lower Trinity River was from Romayor, Texas, to approximately Moss Bluff, Texas. River sections were modeled using steady flow conditions. For the upper section, discharge and stage were both available for the two gages (Romayor USGS 08066500 and Liberty USGS 08067000). For the lower section, the Moss Bluff gage (USGS 08067100) is tidally-influenced, so gage height didn’t correspond to upstream changes in discharge. To model river stage specific inundation for the upper section, discharge for each Landsat 8 overpass date was entered as the upstream...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alligator Gar, Complete, Conservation Design, Conservation NGOs, All tags...


map background search result map search result map Quantification of Alligator Gar Recruitment Dynamics Using a River-Stage Specific Floodplain Inundation Model Final Report: Storm surge impacts on biological resources in the Yukon Kuskokwim Delta River stage-specific GIS data layers depicting connectivity based on inundation in the lower Trinity River of Texas Provisional peak-streamflow information during March 8-17 at selected USGS gaging stations on the islands of Kauai, Oahu, Molokai, and Maui in the State of Hawaii Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data Synthetic storm-driven flood-inundation grids for coastal communities along the Atlantic Ocean and Shark River and adjacent to the Belmar tide gage from Long Branch to Spring Lake, NJ Synthetic storm-driven flood-inundation grids for coastal communities along the Atlantic Ocean and the Manasquan River and adjacent to the Manasquan tide gage from Spring Lake to Manasquan, NJ Synthetic storm-driven flood-inundation grids for coastal communities along Lake Bay and adjacent to the Inside Thorofare at Atlantic City tide gage from Pleasantville to Ventnor City, NJ Synthetic storm-driven flood-inundation grids for coastal communities along the Mullica River to Great Egg Harbor Bay and adjacent to the Ocean City tide gage from Corbin City to Ocean City, NJ Synthetic storm-driven flood-inundation grids for coastal communities along the Strathmere Bay to the Ludlum Bay and adjacent to the Sea Isle City tide gage from Strathmere to Sea Isle City, NJ Synthetic storm-driven flood-inundation grids for coastal communities along the Townsend Channel to Ingram Thorofare and adjacent to the Avalon tide gage from Sea Isle City to Avalon, NJ Synthetic storm-driven flood-inundation grids for coastal communities along the Richardson Sound to Cape May Harbor and adjacent to the Cape May tide gage from North Wildwood to Cape May Point, NJ Data supporting the 2020 and 2021 geomorphic survey of North Fork Eagle Creek, New Mexico Selected streamgage sites and periods of record for consideration of flood-generating mechanisms in Hawai‘i and Southeast Alaska, 1913-2022 Peak-Flow Frequency Analysis for 464 U.S. Geological Survey Streamgages in Illinois, Indiana, and Wisconsin, Based on Data Through Water Year 2017 Geographic Data for the Estimation of Peak Flow Statistics for Illinois Projected coastal flooding depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian Islands Projected coastal flooding extents for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Mariana Islands High-Water Mark Elevations in Upstate New York from Flash Flooding during July 9-10, 2023 GIS data from 1934 - 2019 for Moenkopi Wash, AZ Data supporting the 2020 and 2021 geomorphic survey of North Fork Eagle Creek, New Mexico Synthetic storm-driven flood-inundation grids for coastal communities along the Atlantic Ocean and the Manasquan River and adjacent to the Manasquan tide gage from Spring Lake to Manasquan, NJ Synthetic storm-driven flood-inundation grids for coastal communities along the Townsend Channel to Ingram Thorofare and adjacent to the Avalon tide gage from Sea Isle City to Avalon, NJ Synthetic storm-driven flood-inundation grids for coastal communities along Lake Bay and adjacent to the Inside Thorofare at Atlantic City tide gage from Pleasantville to Ventnor City, NJ Synthetic storm-driven flood-inundation grids for coastal communities along the Richardson Sound to Cape May Harbor and adjacent to the Cape May tide gage from North Wildwood to Cape May Point, NJ Synthetic storm-driven flood-inundation grids for coastal communities along the Strathmere Bay to the Ludlum Bay and adjacent to the Sea Isle City tide gage from Strathmere to Sea Isle City, NJ Synthetic storm-driven flood-inundation grids for coastal communities along the Atlantic Ocean and Shark River and adjacent to the Belmar tide gage from Long Branch to Spring Lake, NJ Synthetic storm-driven flood-inundation grids for coastal communities along the Mullica River to Great Egg Harbor Bay and adjacent to the Ocean City tide gage from Corbin City to Ocean City, NJ Quantification of Alligator Gar Recruitment Dynamics Using a River-Stage Specific Floodplain Inundation Model GIS data from 1934 - 2019 for Moenkopi Wash, AZ Projected coastal flooding extents for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Mariana Islands Final Report: Storm surge impacts on biological resources in the Yukon Kuskokwim Delta High-Water Mark Elevations in Upstate New York from Flash Flooding during July 9-10, 2023 Projected coastal flooding depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian Islands Peak-Flow Frequency Analysis for 464 U.S. Geological Survey Streamgages in Illinois, Indiana, and Wisconsin, Based on Data Through Water Year 2017 Provisional peak-streamflow information during March 8-17 at selected USGS gaging stations on the islands of Kauai, Oahu, Molokai, and Maui in the State of Hawaii Geographic Data for the Estimation of Peak Flow Statistics for Illinois Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data Selected streamgage sites and periods of record for consideration of flood-generating mechanisms in Hawai‘i and Southeast Alaska, 1913-2022