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Digital flood-inundation maps for a 9.5-mile reach of the Meramec River at Arnold, Missouri, were created by the U.S. Geological Survey (USGS) in cooperation with the United States Army Corps of Engineers, St. Louis Metropolitan Sewer District, Missouri Department of Transportation, Missouri American Water, Federal Emergency Management Agency Region 7, the City of Pacific, the City of Eureka, the City of Wildwood, and the City of Arnold. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage...
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure G0069 on Missouri State Highway 240 at Glasgow, Missouri, in 2011, 2013, and 2017. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and...
Digital flood-inundation maps for a 9.9-mile reach of Dardenne Creek, St. Charles County, Missouri, were created by the U.S. Geological Survey (USGS) in cooperation with St. Charles County, Missouri Department of Transportation, and the cities of O'Fallon and St. Peters, Missouri. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Program at http://water.usgs.gov/osw/flood_inundation/ , depict estimates of the areal extent and depth of flooding corresponding to select water levels (stages) at the USGS streamgages 05514860 Dardenne Creek at Old Town St. Peters, Missouri, and 05587450 Mississippi River at Grafton, Illinois. Near-real-time stages at these streamgages...
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Mississippi River near structure A5054 on Interstate 72 at Hannibal, Missouri, in 2014 and 2018. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position...
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near dual bridge structure A3665 on U.S. Highway 36 at St. Joseph, Missouri, in 2011, 2014, and 2018. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal...
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Mississippi River near structure A5076 on Missouri State Highway 34 at Cape Girardeau, Missouri, in 2014 and 2018. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal...
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Mississippi River near structure A1700 on Interstate 155 near Caruthersville, Missouri, in 2008, 2011, 2014 and 2018. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal...
This child item describes Python code used to estimate average yearly and monthly tourism per 1000 residents within public-supply water service areas. Increases in population due to tourism may impact amounts of water used by public-supply water systems. This data release contains model input datasets, Python code used to develop the tourism information, and output estimates of tourism. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Output from this code was used as an input feature in the public supply delivery and water use machine learning models. This page includes the following files: tourism_input_data.zip...
This child item describes a public supply delivery machine learning model that was developed to estimate public-supply deliveries. Publicly supplied water may be delivered to domestic users or to commercial, industrial, institutional, and irrigation (CII) users. This model predicts total, domestic, and CII per capita rates for public-supply water service areas within the conterminous United States for 2009-2020. This child item contains model input datasets, code used to build the delivery machine learning model, and national predictions. This dataset is part of a larger data release using machine learning to predict public-supply water use for 12-digit hydrologic units from 2000-2020. This page includes the following...
This child item describes Python code used to query census data from the TigerWeb Representational State Transfer (REST) services and the U.S. Census Bureau Application Programming Interface (API). These data were needed as input feature variables for a machine learning model to predict public supply water use for the conterminous United States. Census data were retrieved for public-supply water service areas, but the census data collector could be used to retrieve data for other areas of interest. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Data retrieved by the census data collector code were used as input...
Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired November 2018 to February 2019 along 16,816 line-kilometers (line-km) over the Mississippi Alluvial Plain (MAP). Data were acquired by CGG Canada Services, Ltd. with three different helicopter-borne sensors: the CGG Canada Services, Ltd. Resolve frequency-domain AEM instrument that is used to map subsurface geologic structure at depths up to 100 meters, depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that...
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River collected in 1975.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 1994.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River collected in 1975.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
Categories: Data;
Types: Citation;
Tags: Illinois,
Illinois River,
Iowa,
Minnesota,
Mississippi River,
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 1989.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 1989.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
Categories: Data;
Types: Citation;
Tags: Illinois,
Illinois River,
Iowa,
Minnesota,
Mississippi River,
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River collected in 1975.
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