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Sugar Creek Lake is located approximately 4 miles northwest of Moberly, Missouri, in Randolph County, and has a full-pool surface area of approximately 330 acres. The lake primarily is used for recreation and drinking-water supply for the town of Moberly, Missouri. An earthen dam approximately 38-feet high and 1,125-feet long was constructed across the Sugar Creek valley in 1922. The elevation of the top of the dam is approximately 754 feet, with a 90-feet wide concrete spillway located near the right bank (west end) at an elevation of 746.8 feet. A previous bathymetric survey was completed in 2003. In cooperation with the Missouri Department of Natural Resources, the U.S. Geological Survey resurveyed the bathymetry...
Tags: Bathymetry,
Bathymetry and Elevation,
Moberly,
Multibeam,
Randolph County, All tags...
State of Missouri,
Sugar Creek Lake,
U.S. Geological Survey,
USGS,
USGS Science Data Catalog (SDC),
Water Resources,
bathymetry,
multibeam sonar, Fewer tags
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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. Old Lake (locally known as Bowling Green West) is a water supply lake used by the city of Bowling Green...
Tags: Bathymetry,
Bathymetry and Elevation,
Bowling Green,
Bowling Green West,
Missouri, All tags...
Missouri,
Multibeam,
Old Lake,
Pike County,
U.S. Geological Survey,
USGS,
bathymetry,
multibeam sonar, Fewer tags
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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. Shelbina Lake is a water supply lake used by the city of Shelbina in north-central Missouri. The surface...
Tags: Bathymetry,
Bathymetry and Elevation,
Missouri,
Missouri,
Multibeam, All tags...
Shelbina,
Shelbina Lake,
Shelby County,
U.S. Geological Survey,
USGS,
bathymetry,
multibeam sonar, Fewer tags
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The U.S. Geological Survey (USGS) in cooperation with the U.S. Army Corps of Engineers (USACE) did a bathymetric survey of the lower reach of the Maumelle River upstream of Lake Maumelle, near Little Rock, Arkansas, from July 9—11, 2019. Channel bed elevations (thalweg) were collected to support a USACE modeling effort on a 5-mile reach of the Maumelle River. In parts of the reach where the water was partially impounded, depth data were collected using an acoustic Doppler current profiler (ADCP) coupled with a survey-grade deferentially corrected global positioning system (GPS) receiver. Depth data were converted to channel bed elevation data by subtracting the depth value from the GPS derived water-surface...
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The U.S. Geological Survey (USGS), in cooperation with the Missouri Department of Natural Resources (MDNR), collects data pertaining to the surface-water resources of Missouri. These data are collected as part of the Missouri Ambient Water-Quality Monitoring Network (AWQMN) and are stored and maintained by the USGS National Water Information System (NWIS) database. These data constitute a valuable source of reliable, impartial, and timely information for developing an improved understanding of the water resources of the State. Water-quality data collected between 1993 and 2017 were analyzed for long term trends and the network was investigated to identify data gaps or redundant data to assist MDNR on how to optimize...
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