Geology topics

Research about Ohio

Source-linked reports with geographic coverage including Ohio.

At least 181 records · Page 10Linked to original sources

USGS2003

Nitrogen and phosphorus in streams of the Great Miami River Basin, Ohio, 1998–2000

Sources and loads of nitrogen and phosphorus in streams of the Great Miami River Basin were evaluated as part of the National Water-Quality Assessment program. Water samples were collected by the U.S. Geological Survey from October 1998 through September 2000 (water years 1999 and 2000) at five locations in Ohio on a routine schedule and additionally during selected high streamflows. Stillwater River near Union, Great Miami River near Vandalia, and Mad River near Eagle City were selected to represent predominantly agricultural areas upstream from the Dayton metropolitan area. Holes Creek near Kettering is in the Dayton metropolitan area and was selected to represent an urban area in the Great Miami River Basin. Great Miami River at Hamilton is downstream from the Dayton and Hamilton-Middletown metropolitan areas and was selected to represent mixed agricultural and urban land uses of the Great Miami River Basin. Inputs of nitrogen and phosphorus to streams from point and nonpoint sources were estimated for the three agricultural basins and for the Great Miami River Basin as a whole. Nutrient inputs from point sources were computed from the facilities that discharge one-half million gallons or more per day into streams of the Great Miami River Basin. Nonpoint-source inputs estimated in this report are atmospheric deposition and commercial-fertilizer and manure applications. Loads of ammonia, nitrate, total nitrogen, orthophosphate, and total phosphorus from the five sites were computed with the ESTIMATOR program. The computations show nitrate to be the primary component of instream nitrogen loads, and particulate phosphorus to be the primary component of instream phosphorus loads. The Mad River contributed the smallest loads of total nitrogen and total phosphorus to the study area upstream from Dayton, whereas the Upper Great Miami River (upstream from Vandalia) contributed the largest loads of total nitrogen and total phosphorus to the Great Miami River Basin upstream from Dayton. An evaluation of monthly mean loads shows that nutrient loads were highest during winter 1999 and lowest during the drought of summer and autumn 1999. During the 1999 drought, point sources were the primary contributors of nitrogen and phosphorus loads to most of the study area. Nonpoint sources, however, were the primary contributors of nitrogen and phosphorus loads during months of high streamflow. Nonpoint sources were also the primary contributors of nitrogen loads to the Mad River during the 1999 drought, owing to unusually large amounts of ground-water discharge to the stream. The Stillwater River Basin had the highest nutrient yields in the study area during months of high streamflow; however, the Mad River Basin had the highest yields of all nutrients except ammonia during the months of the 1999 drought. The high wet-weather yields in the Stillwater River Basin were caused by agricultural runoff, whereas high yields in the Mad River Basin during drought resulted from the large, sustained contribution of ground water to streamflow throughout the year. In the basins upstream from Dayton, an estimated 19 to 25 percent of the nonpoint source of nitrogen and 4 to 5 percent of the nonpoint source of phosphorus that was deposited or applied to the land was transported into streams.

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USGS2003

Techniques for estimating flood-peak discharges of rural, unregulated streams in Ohio

Regional equations for estimating 2-, 5-, 10-, 25-, 50-, 100-, and 500-year flood-peak discharges at ungaged sites on rural, unregulated streams in Ohio were developed by means of ordinary and generalized least-squares (GLS) regression techniques. One-variable, simple equations and three-variable, full-model equations were developed on the basis of selected basin characteristics and flood-frequency estimates determined for 305 streamflow-gaging stations in Ohio and adjacent states. The average standard errors of prediction ranged from about 39 to 49 percent for the simple equations, and from about 34 to 41 percent for the full-model equations. Flood-frequency estimates determined by means of log-Pearson Type III analyses are reported along with weighted flood-frequency estimates, computed as a function of the log-Pearson Type III estimates and the regression estimates. Values of explanatory variables used in the regression models were determined from digital spatial data sets by means of a geographic information system (GIS), with the exception of drainage area, which was determined by digitizing the area within basin boundaries manually delineated on topographic maps. Use of GIS-based explanatory variables represents a major departure in methodology from that described in previous reports on estimating flood-frequency characteristics of Ohio streams. Examples are presented illustrating application of the regression equations to ungaged sites on ungaged and gaged streams. A method is provided to adjust regression estimates for ungaged sites by use of weighted and regression estimates for a gaged site on the same stream. A region-of-influence method, which employs a computer program to estimate flood-frequency characteristics for ungaged sites based on data from gaged sites with similar characteristics, was also tested and compared to the GLS full-model equations. For all recurrence intervals, the GLS full-model equations had superior prediction accuracy relative to the simple equations and therefore are recommended for use.

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USGS2002

Bank recession and lakebed downcutting; response to changing water levels at Maumee Bay State Park, Ohio

The shore and nearshore area of Maumee Bay, at the western end of Lake Erie, was studied from 1981 to 1990 and this report documents the impact of water levels on bank recession and lakebed downcutting. The shore of Maumee Bay is composed of a low bank of sand-poor glacial lacustrine silt and clay. Three regimes of lake level occurred during this 9-year study. Each regime produced a different character and rate of erosion. During stable lake levels, erosion occurred as bank recession and as nearshore lakebed downcutting. During rising/high lake levels, bank recession continued, but lakebed downcutting slowed except at the new transgressed shoreline. During falling water levels, bank recession all but ceased, the former shoreline became emergent and lakebed downcutting resumed. Over the 9 years of this study, total bank recession averaged about 20 m and nearshore lakebed downcutting averaged about 50 cm. At lower lake levels the visual (from land) erosion ceased and lakebed downcutting became dominant, which continued to deepen the nearshore. Therefore, when higher lake levels return, waves in the deeper water will have an even greater impact on bank recession rates.

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USGS2002

Forecasting bacteria levels at bathing beaches in Ohio

The U.S. Geological Survey developed models for predicting exceedance of the bathing-water standard for Escherichia coli ( E. coli ) at three Lake Erie beaches and one inland lake in Ohio. The statistical models were speciﬁc to each beach, and the best model for each beach was based on a unique combination of environmental and water-quality variables as explanatory factors. For the Lake Erie beaches, these factors included wave height, number of birds on the beach at the time of sampling, lake-current direction, rainfall, turbidity, and streamﬂow of a nearby river. For the inland lake, these factors included date, wind direction and speed, number of birds, and rainfall. The prediction error in the models was too large to accurately estimate concentrations of E. coli ; however, the models can be used like weather forecasts to predict the probability, given a set of input variables, that the Ohio bathing-water standard used to judge swimming safety will be exceeded.

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USGS2002

Escherichia coli in the swash zone at four Ohio bathing beaches

The zone of the shoreline that is constantly washed by waves or tides, called the swash zone, is an attractive recreational area, especially for children who play in the sand. The swash zone, however, has been suggested as a possible habitat for waterborne disease-causing microorganisms (pathogens). The spaces between the sand grains, or interstices, offer habitats that may support the survival of certain bacterial, viral, and protozoan pathogens (U.S. Environmental Protection Agency, 1999). To investigate this possibility, the U.S. Geological Survey (USGS) determined the distribution of Escherichia coli ( E. coli ) in subsurface sediments and interstitial waters collected from near the swash zone at three Lake Erie urban beaches and one inland lake during the recreational seasons of 2000 and 2001. Water and lake-bottom sediment samples were also collected within the bathing areas and were analyzed for E. coli ; these bathing-water data were compared to swash-zone data to determine whether swash-zone materials were enriched with E. coli .

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USGS2002

Water resources data, Ohio, water year 2001, volume 1. Ohio River Basin excluding project data

Water-resources data for the 2001 water year for Ohio consist of records of stage, discharge, and water quality of streams; stage and contents of lakes and reservoirs; and water levels and water quality of ground-water wells. This report, in two volumes, contains records for water discharge at 130 gaging stations and 65 partial-record sites; water levels at 160 observation wells and 25 crest-stage gages; and water quality at 25 gaging stations, 31 observation wells, and 9 partial-record sites. Also included are data from miscellaneous and synoptic sites. Additional water data were collected at various sites not involved in the systematic data-collection program and are published as miscellaneous measurements and analyses. These data represent that part of the National Water Information System collected by the U.S. Geological Survey and cooperating Federal, State, and local agencies in Ohio.

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USGS2002

Water resources data, Ohio, water year 2001, volume 2. St. Lawrence River Basin and statewide project data

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USGS2002

Techniques for estimating selected streamflow characteristics of rural, unregulated streams in Ohio

This report provides equations for estimating mean annual streamflow, mean monthly streamflows, harmonic mean streamflow, and streamflow quartiles (the 25th-, 50th-, and 75th-percentile streamflows) as a function of selected basin characteristics for rural, unregulated streams in Ohio. The equations were developed from streamflow statistics and basin-characteristics data for as many as 219 active or discontinued streamflow-gaging stations on rural, unregulated streams in Ohio with 10 or more years of homogenous daily streamflow record. Streamflow statistics and basin-characteristics data for the 219 stations are presented in this report. Simple equations (based on drainage area only) and best-fit equations (based on drainage area and at least two other basin characteristics) were developed by means of ordinary least-squares regression techniques. Application of the best-fit equations generally involves quantification of basin characteristics that require or are facilitated by use of a geographic information system. In contrast, the simple equations can be used with information that can be obtained without use of a geographic information system; however, the simple equations have larger prediction errors than the best-fit equations and exhibit geographic biases for most streamflow statistics. The best-fit equations should be used instead of the simple equations whenever possible.

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USGS2001

What is the Ohio Gap Analysis Program (GAP)?

The Gap Analysis Program (GAP) is a program for identifying the degree to which native species and natural communities are represented in present-day conservation lands. Those areas where unique biological communities and conservation lands do not overlap constitute gaps in our conservation effort. GAP aids in the protection of biodiversity through a regional assessment of the conservation status of native species and natural land-cover types. This assessment provides a practical approach based on available data to identify potential conservation areas and strategies. GAP is a preliminary step to the more focused, local studies needed to establish boundaries for potential biodiversity management areas. GAP is conducted as state-level projects and is coordinated by the U.S. Geological Survey (USGS) Biological Resources Discipline (BRD). It is a cooperative effort among regional, state, and Federal agencies and private groups.

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USGS2001

Water resources data, Ohio, water year 2000, Volume 1. Ohio River Basin excluding project data

Water-resources data for the 2000 water year for Ohio consist of records of stage, discharge, and water quality of streams; stage and contents of lakes and reservoirs; and water levels and water quality of ground-water wells. This report, in two volumes, contains records for water discharge at 122 gaging stations and 65 partial-record sites; water levels at 65 observation wells and 23 crest-stage gages; and water quality at 36 gaging stations, 69 observation wells, and 35 partial-record sites. Also included are data from miscellaneous and synoptic sites. Additional water data were collected at various sites not involved in the systematic data-collection program and are published as miscellaneous measurements and analyses. These data represent that part of the National Water Information System collected by the U.S. Geological Survey and cooperating Federal, State, and local agencies in Ohio.

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USGS2001

Water resources data, Ohio, water year 2000, volume 2. St. Lawrence River Basin and statewide project data

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USGS2001

Water resources data, Ohio, water year 1999, volume 2. St. Lawrence River Basin and statewide project data

Water-resources data for the 1999 water year for Ohio consist of records of stage, discharge, and water quality of streams; stage and contents of lakes and reservoirs; and water levels and water quality of ground-water wells. This report, in two volumes, contains records for water discharge at 120 gaging stations and 69 partial-record sites; water levels at 187 observation wells and 26 crest-stage gages; and water quality at 34 gaging stations, 337 observation wells, and 3 partial-record sites. Also included are data from miscellaneous and synoptic sites. Additional water data were collected at various sites not involved in the systematic data-collection program and are published as miscellaneous measurements and analyses. These data represent that part of the National Water Information System collected by the U.S. Geological Survey and cooperating Federal, State, and local agencies in Ohio.

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USGS2001

Low-flow characteristics of streams in Ohio through water year 1997

This report presents selected low-flow and flow-duration characteristics for 386 sites throughout Ohio. These sites include 195 long-term continuous- record stations with streamflow data through water year 1997 (October 1 to September 30) and for 191 low-flow partial-record stations with measurements into water year 1999. The characteristics presented for the long-term continuous-record stations are minimum daily streamflow; average daily streamflow; harmonic mean flow; 1-, 7-, 30-, and 90-day minimum average low flow with 2-, 5-, 10-, 20-, and 50-year recurrence intervals; and 98-, 95-, 90-, 85-, 80-, 75-, 70-, 60-, 50-, 40-, 30-, 20-, and 10-percent daily duration flows. The characteristics presented for the low-flow partial-record stations are minimum observed streamflow; estimated 1-, 7-, 30-, and 90-day minimum average low flow with 2-, 10-, and 20-year recurrence intervals; and estimated 98-, 95-, 90-, 85- and 80-percent daily duration flows. The low-flow frequency and duration analyses were done for three seasonal periods (warm weather, May 1 to November 30; winter, December 1 to February 28/29; and autumn, September 1 to November 30), plus the annual period based on the climatic year (April 1 to March 31).

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USGS2001

Ground-water quality in Geauga County, Ohio — Review of previous studies, status in 1999, and comparison of 1986 and 1999 data

Most residents in Geauga County, Ohio, rely on ground water as their primary source of drinking water. With population growing at a steady rate, the possibility that human activity will affect ground-water quality becomes considerable. This report presents the results of a study by the U.S. Geological Survey (USGS), in cooperation with the Geauga County Planning Commission and Board of County Commissioners, to provide a brief synopsis of work previously done within the county, to assess the present (1999) ground-water quality, and to determine any changes in groundwater quality between 1986 and 1999. Previous studies of ground-water quality in the county have consistently reported that manganese and iron concentrations in ground water in Geauga County often exceed the U.S. Environmental Protection Agency (USEPA) Secondary Maximum Contaminant Level (SMCL). Road salt and, less commonly, oil-field brines and volatile organic compounds (VOCs) have been found in ground water at isolated locations. Nitrate has not been detected above the USEPA Maximum Contaminant Level (MCL) of 10 milligrams per liter as N; however, nitrate has been found in some locations at levels that may indicate the effects of fertilizer application or effluent from septic systems. Between June 7 and July 1, 1999, USGS personnel collected a total of 31 water-quality samples from wells completed in glacial deposits, the Pottsville Formation, the Cuyahoga Group, and the Berea Sandstone. All samples were analyzed for VOCs, sulfide, dissolved organic carbon, major ions, trace elements, alkalinity, total coliforms, and Escherichia coli bacteria. Fourteen of the samples also were analyzed for tritium. Water-quality data were used to determine (1) suitability of water for drinking, (2) age of ground water, (3) stratigraphic variation in water quality, (4) controls on water quality, and (5) temporal variation in water quality. Water from 16 of the 31 samples exceeded the Geauga County General Health District’s standard of 0 colonies of total coliform bacteria per 100 milliliters of water. Esthetically based SMCLs were exceeded in the indicated number of wells for pH (8), sulfate (1), dissolved solids (3), iron (19), and manganese (18). Hydrogen sulfide was detected at or above the detection limit of 0.01 milligram per liter in 17 of the 31 water samples. A range of water types was found among and within the four principal stratigraphic units. The waters can be categorized in three groups based on predominant anion type: bicarbonatetype waters, chloride-type waters, and sulfatetype waters. Chloride-to-bromide ratio analyses indicate that water from 8 of the 31 wells is in some way affected by human activity. Five other samples were in a chloride-to-bromide ratio range that could indicate possible effects of human activity. Ground-water-quality data from the current study were compared to data collected in 1986. Statistical analyses of data from the 16 wells that were sampled in both years did not indicate any significant changes that could be attributed to human activity.

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USGS2001

Evaluation of ground-water/surface-water relations, Chapman Creek,West-Central Ohio, by means of multiple methods

Chapman Creek, a tributary to the Mad River, passes within about 500 feet of a landfill near Tremont City, in Clark County, west-central Ohio. In autumn 2000, the ground-water/surface-water relation was investigated by use of piezometers, seepage meters, temperature monitors, and a gain-loss study. Four piezometers were installed in the streambed along about a 1-mile reach, inclusive of the landfill. Four seepage-meter tests were done at locations near two of the piezometers. Four temperature-monitoring stations were established along a reach of about 700 feet near the landfill. A fifth temperature station was located near a piezometer about 3,000 feet downstream from the landfill. A streamflow gain-loss study was done over a 3-mile reach that included the reaches studied with the other methods. The data from the piezometers, seepage meters, and temperature monitors indicated an apparent change from losing to gaining and back again several times over fairly short distances. The gain-loss data indicated that the creek was consistently a gaining stream over the 3-mile reach. Investigation of streambed conditions and local geology revealed that the streambed consists of sand and gravel overlying a finegrained till layer. The stream water readily moves in and out of the coarse streambed such that the piezometers, seepage meters, and temperature monitors measured the local flow in the streambed; therefore, these data did not reflect the true relation between the creek and ground water. On the other hand, the gain-loss study, less affected by the movement of water in the streambed, showed that Chapman Creek probably is a gaining stream throughout the 3-mile reach.

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USGS2001

Ground-water levels and flow directions in glacial sediments and carbonate bedrock near Tremont City, Ohio, October-November 2000

Introduction During summer 2000, the U.S. Environmental Protection Agency (USEPA) began an investigation of the Tremont City Landfill Site near Tremont City, Ohio. The site is about 1 mile west of Tremont City, just south of the Clark-Champaign County line. The closed site consists of three main areas: an 8.5-acre barrel fill, a 14-acre waste-transfer area, and a 58-acre landfill. The local hydrogeology is complex, and multiple ground-water-flow directions at the site have been described; however, offsite ground-water levels and flow directions were poorly defined, because they were based on static water levels reported over many years by well drillers. In October 2000, the U.S. Geological Survey (USGS), in cooperation with the USEPA, measured water levels in residential and onsite monitoring wells to prepare a map of the potentiometric surface so that directions of regional ground-water flow could be better delineated in the vicinity of the site. The topography of the study area (extent of map) is characterized by a nearly level till plain with minor relief along incised streams draining east-southeast to the Mad River. The Tremont City Landfill Site is in an upland area between two east-southeast-trending streams. Storms Creek is about 1 mile north of the site. The southern extent of the landfill is within about 500 feet of Chapman creek. The surficial geology of the study area consists of unconsolidated glacial sediments that overlie Silurian-age Lockport Dolomite. These glacial sediments consist of fine-grained till interbedded with layers of silt, sands, and gravels. Sand and gravel layers are commonly found just above the bedrock surface. Onsite monitoring wells have been installed into several thin, permeable zones in the glacial sediments. Most residential wells in the area produce sufficient water for residential use (as much as 100 gallons per minute), from either sand and gravel layers in the glacial sediments or from the carbonate bedrock. The most productive aquifer in the area is the highly permeable glacial outwash in the buried bedrock valley beneath the Mad River. These outwash sands and gravels can yield more than 1,000 gallons per minute. If weathered, the Lockport Dolomite can be a productive source of water near the top of the unit.

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USGS2001

Hydrologic considerations for estimation of storage-capacity requirements of impounding and side-channel reservoirs for water supply in Ohio

This report provides data and methods to aid in the hydrologic design or evaluation of impounding reservoirs and side-channel reservoirs used for water supply in Ohio. Data from 117 streamflow-gaging stations throughout Ohio were analyzed by means of nonsequential-mass-curve-analysis techniques to develop relations between storage requirements, water demand, duration, and frequency. Information also is provided on minimum runoff for selected durations and frequencies. Systematic record lengths for the streamflow-gaging stations ranged from about 10 to 75 years; however, in many cases, additional streamflow record was synthesized. For impounding reservoirs, families of curves are provided to facilitate the estimation of storage requirements as a function of demand and the ratio of the 7-day, 2-year low flow to the mean annual flow. Information is provided with which to evaluate separately the effects of evaporation on storage requirements. Comparisons of storage requirements for impounding reservoirs determined by nonsequential-mass-curve-analysis techniques with storage requirements determined by annual-mass-curve techniques that employ probability routing to account for carryover-storage requirements indicate that large differences in computed required storages can result from the two methods, particularly for conditions where demand cannot be met from within-year storage. For side-channel reservoirs, tables of demand-storage-frequency information are provided for a primary pump relation consisting of one variable-speed pump with a pumping capacity that ranges from 0.1 to 20 times demand. Tables of adjustment ratios are provided to facilitate determination of storage requirements for 19 other pump sets consisting of assorted combinations of fixed-speed pumps or variable-speed pumps with aggregate pumping capacities smaller than or equal to the primary pump relation. The effects of evaporation on side-channel reservoir storage requirements are incorporated into the storage-requirement estimates. The effects of an instream-flow requirement equal to the 80-percent-duration flow are also incorporated into the storage-requirement estimates.

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USGS2000

Habitat and landscape correlates of presence, density, and species richness of birds wintering in forest fragments in Ohio

We investigated the distribution of wintering woodland bird species in 47 very small, isolated, woodland fragments (0.54-6.01 ha) within an agricultural landscape in north-central Ohio. Our objectives were to determine correlations between temporal, habitat, and landscape variables and avian presence, density, and species richness within the smallest woodlots occupied by such species. Our results suggest that even common species are sensitive to variation in habitat, landscape, and season. Woodlot area explained the most variation in presence, density, and species richness. Shrub cover was also an important predictor variable for presence of the smallest resident birds. Shrub cover might function as both a refuge from predators and as a windbreak, reducing thermal costs in a flat, open landscape. Landscape factors related to isolation and connectedness were also correlated with species presence and density. The species composition of the community changed through the winter, as did the density of individual species, suggesting that the winter season may play an important role in determining the distributions of bird populations across woodlots. The models presented here for Ohio birds in this specific landscape may have biological inference for other species in similar landscapes.

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