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Background / Problem – The City of Ithaca, Tompkins County, N.Y., is in the process of developing a flood management plan for the streams that flow through the City. Flooding in the City is caused by a variety of distinct and sometimes interconnected reasons. Flooding often is a result of snowmelt and rain during the winter and spring. Slow ice-melt and breakup can lead to ice jams and subsequent flooding. Flash floods are produced by summer thunderstorms. All of these flood types are compounded by two factors: the storm-sewer system in the City and the elevation of Cayuga Lake. The storm sewers drain to the nearby streams at points below the tops of the streambanks. Because the streamward ends of the storm sewers...
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This polygon shapefile represents model simulated flood-inundation extents for the Muddy River, near Moapa Nevada. A flood frequency analysis was performed at USGS streamgage 09416000 - Muddy River near Moapa, Nevada, to estimate the 50, 20, 10, 4, 2, and 1-percent annual exceedance probability (AEP) flood streamflows. The flood-inundation extents for the 50-, 20-, 10-, 4-, 2-, and 1-percent AEP floods were simulated for the current levee location in 2019 and for the new levee location of the proposed restoration. One model simulation represents the levee at its current (existing) location in 2019 on the east bank of the river and referred to as ‘current conditions (2019).’ A second model simulation removes the...
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These data-sets are polygon shapefiles that represent flood inundation boundaries for 157 flooding scenarios in an 8-mile reach of the Papillion Creek near Offutt Air Force Base. These shapefiles were created by the U.S. Geological Survey (USGS) in cooperation with the U.S. Air Force, Offutt Air Force Base for use within the USGS Flood Inundation Mapping program. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages on the Papillion...
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This point shapefile contains positional data for 2,205 locations at the Muddy River, near Moapa, Nevada, April 1 to August 9, 2019. Positional data were collected using either a single-base real-time kinematic (RTK) global navigation satellite system (GNSS) or a total station. The survey data primarily were used to define 105 cross-sections, with a secondary use as vertical precision verification for lidar data.
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This polygon shapefile represents the boundaries of the current (2019) and proposed levee locations used to simulate flood-inundation extents for the at Muddy River, near Moapa, Nevada. The new levee location is proposed as part of a river restoration plan for selected reaches of the Muddy River.
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These data are monthly median observed streamflow from 32 gages in the Central Valley for comparison to the updated Central Valley Hydrologic Model (CVHM2). The locations of these gages are shown in the shape file.
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This point shapefile contains positional data for seven static reference locations collected at the Muddy River, near Moapa, Nevada, March 29 to August 9, 2019. Positional data were collected at seven temporary benchmarks using 14 single-baseline online positioning user service – static (OPUS-S) global navigation satellite system (GNSS) surveys. Data were collected using Leica Viva GS14 or TopCon GR-3 GNSS receivers. Processing of static observations was done using the National Geodetic Survey (NGS) online positioning user system (OPUS).
This dataset consists of seven geomorphic variables attributed to standard river mile address points at 0.1 mile (160 m) intervals between Fort Peck Dam and the headwaters of Lake Sakakawea. The data illustrate the geomorphic variation in this 300-km segment of the Upper Missouri River and are indicative of channel complexity, thought to be an important influence on dispersal and retention of larval sturgeon.
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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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Drainage areas (or watersheds) were calculated for each stream segment in the National Hydrography Dataset High Resolution Plus Beta (NHD HR Plus Beta) using non-end junction points and the provided hydrologically enforced Digital Elevation Model (DEM). The DEM was used to create a flow direction raster. The pour points used were determined from junction points at each stream intersection excluding stream ends (i.e. channel heads are not included). Watershed calculations were automated using the ArcGIS "watershed" tool and then edited manually for accuracy. In western San Diego County (non-desert) there were 39,980 drainage areas calculated. The percent impervious in each watershed was calculated using the National...
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The lakes, rivers, and streams of New York State provide an essential water resource for the State. The information provided by time series hydrologic data is essential to understanding ways to promote healthy instream ecology and to strengthen the scientific basis for sound water management decision making in New York. The U.S. Geological Survey, in cooperation with The Nature Conservancy and the New York State Energy Research and Development Authority, has developed the New York Streamflow Estimation Tool to estimate a daily mean hydrograph for the period from October 1, 1960, to September 30, 2010, at ungaged locations across the State. The New York Streamflow Estimation Tool produces a complete estimated daily...
    map background search result map search result map A New Tool for Estimating Daily Mean Streamflow Statistics at Rural Streams in New York State, excluding Long Island Water-Surface Profiles and Discharges for Four Stream Reaches, Ithaca, Tompkins County N.Y. 6) Static reference points for the correction of real-time kinematic global navigation satellite system (GNSS) and total station (TS) surveys at Muddy River, near Moapa, Nevada Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data 5) Real-time kinematic global navigation satellite system (GNSS) and total station (TS) survey points at Muddy River, near Moapa, Nevada 4) Current and proposed levee locations at Muddy River, near Moapa, Nevada 1) Simulated flood-inundation extents for the Muddy River, near Moapa, Nevada Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow Shapefile of flood inundation maps for Papillion Creek near Offutt Air Force Base, Nebraska Drainage Areas for Stream Segments in Western San Diego County 4) Current and proposed levee locations at Muddy River, near Moapa, Nevada 6) Static reference points for the correction of real-time kinematic global navigation satellite system (GNSS) and total station (TS) surveys at Muddy River, near Moapa, Nevada 5) Real-time kinematic global navigation satellite system (GNSS) and total station (TS) survey points at Muddy River, near Moapa, Nevada 1) Simulated flood-inundation extents for the Muddy River, near Moapa, Nevada Water-Surface Profiles and Discharges for Four Stream Reaches, Ithaca, Tompkins County N.Y. Drainage Areas for Stream Segments in Western San Diego County A New Tool for Estimating Daily Mean Streamflow Statistics at Rural Streams in New York State, excluding Long Island Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data