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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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The basis for these features is U.S. Geological Survey Scientific Investigations Report 2016-5105 Flood-inundation maps for the Peckman River in the Townships of Verona, Cedar Grove, and Little Falls, and the Borough of Woodland Park, New Jersey, 2014.Digital flood-inundation maps for an approximate 7.5-mile reach of the Peckman River in New Jersey, which extends from Verona Lake Dam in the Township of Verona downstream through the Township of Cedar Grove and the Township of Little Falls to the confluence with the Passaic River in the Borough of Woodland Park, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. Flood profiles were simulated...
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The Paso Robles groundwater basin (PR) encompasses approximately 500,000 acres and is located in the upper portion of the Salinas River watershed in the San Luis Obispo (SLO) and Monterey counties, Central Coast region of California (.\ancillary\Figures\Figure 1. Site Map.tif from this data release; California Department of Water Resources, 2003). Agriculture makes up a large part of the regional economy and agricultural water demand is the single largest component of total water demands in San Luis Obispo County (SLO; Fugro West, Inc and others, 2005). As such, future water supply sustainability is an important water management objective. To quantitatively evaluate long-term trends in groundwater levels, inflow,...
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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.
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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These data include base flow separation estimates for 64 USGS streamflow gages in the Lake Superior watershed from 1945 to 2020, shapefiles of the gaging stations and watersheds for each gaging station, and a zipped folder of graphics of the base flow separation results. The base flow separation estimates were calculated using the U.S. Geological Survey Groundwater Toolbox (Barlow and others, 2014) for any complete water years of record for these gages from 1945 to 2020. The shapefile of the gaging stations includes the starting and ending years of data for each station, the number of years of record. The watersheds shapefile includes the source for the watershed delineation, the watershed area, and the number of...
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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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This data release supersedes Thorson, J.M., Dunham, J.B., Heck, M.P., Hockman-Wert, D.P., and Mintz, J.M., 2020, Stream Temperature in the Northern Great Basin region of Southeastern Oregon, 2016-2019: U.S. Geological Survey data release, https://doi.org/10.5066/P924MOCB. This dataset includes hourly stream and air temperature data from 124 sites throughout the Northern Great Basin region of SE Oregon. Data loggers were deployed June through September of 2016 and downloaded each subsequent summer through 2021. The SE_OR_Stream_Temps and SE_OR_Air_Temps files contain temperature data (in C°) by logger serial number and site for the study period. The SE_OR_Wet_Dry delineation file contains daily flow status estimates...
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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. Flood inundation extents for gage heights of 3.0 to 6.5 ft at gage 01389534, Peckman River at Ozone Ave at Verona, New Jersey (pecknj.shp) Stream Temperature in the Northern Great Basin region of Southeastern Oregon, 2016-2021 Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow Drainage Areas for Stream Segments in Western San Diego County Demonstration of simulating agricultural water demands using the MODFLOW-OWHM2 Farm Process with an example from Paso Robles Basin Base-flow analysis for tributaries to Lake Superior from 1946 to 2020 Water-Surface Profiles and Discharges for Four Stream Reaches, Ithaca, Tompkins County N.Y. Flood inundation extents for gage heights of 3.0 to 6.5 ft at gage 01389534, Peckman River at Ozone Ave at Verona, New Jersey (pecknj.shp) Demonstration of simulating agricultural water demands using the MODFLOW-OWHM2 Farm Process with an example from Paso Robles Basin Drainage Areas for Stream Segments in Western San Diego County Stream Temperature in the Northern Great Basin region of Southeastern Oregon, 2016-2021 Base-flow analysis for tributaries to Lake Superior from 1946 to 2020 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