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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...
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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...
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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...
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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...
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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.
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.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River collected in 1975.
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This data release contains relevant datasets used in the analysis for the Chesapeake Bay stressor identification project, for which results are described in Fanelli and others (2022). For this project, two existing information sources were compiled and summarized to identify key in-stream stressors reported by the scientific literature or through regulatory assessments to be likely affecting benthic macroinvertebrate community metrics in the Chesapeake Bay region: 1) the peer reviewed multi-stressor literature, in which the effects multiple in-stream stressors on benthic macroinvertebrate community metrics are simultaneously assessed; and 2) reported causes of biological impairment as listed by state or district...
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Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. Holden City Lake is a water supply lake used by the city of Holden in west-central Missouri. The surface...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020. 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...
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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...
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Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. The King City Reservoir system is a set of water supply lakes used by the city of King City in northwestern...
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Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. Middle Fork Grand River Reservoir is a water supply lake used by the city of Stanberry in northwestern...


map background search result map search result map Shapefiles of the flood-inundation maps for the Meramec River at Arnold, Missouri, 2018 Site 02 Missouri River Bathymetry and Velocimetry Data at Dual Bridge Structure A3665 on U.S. Highway 36 at St. Joseph, Missouri, July 2011 through July 2018 AEM inverted resistivity models Middle Fork Grand River Reservoir near Stanberry, Missouri, 2019 King City Reservoir system at King City, Missouri, 2019 Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020 Holden City Lake near Holden and Kingsville, Missouri, 2020 Literature review results and regulatory summaries of freshwater stressors influencing biological impairment in the Chesapeake Bay watershed, USA Python code used to download U.S. Census Bureau data for public-supply water service areas Machine learning model that estimates public-supply deliveries for domestic and other use types Python code used to determine average yearly and monthly tourism per 1000 residents for public-supply water service areas Site 02 Missouri River Bathymetry and Velocimetry Data at Dual Bridge Structure A3665 on U.S. Highway 36 at St. Joseph, Missouri, July 2011 through July 2018 King City Reservoir system at King City, Missouri, 2019 Middle Fork Grand River Reservoir near Stanberry, Missouri, 2019 Holden City Lake near Holden and Kingsville, Missouri, 2020 Shapefiles of the flood-inundation maps for the Meramec River at Arnold, Missouri, 2018 Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020 AEM inverted resistivity models Literature review results and regulatory summaries of freshwater stressors influencing biological impairment in the Chesapeake Bay watershed, USA Python code used to download U.S. Census Bureau data for public-supply water service areas Machine learning model that estimates public-supply deliveries for domestic and other use types Python code used to determine average yearly and monthly tourism per 1000 residents for public-supply water service areas