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N. E. Driver

Publications and source records attributed to N. E. Driver.

8 recordsLinked to original sources

Nationwide regression models for predicting urban runoff water quality at unmonitored sites

Regression models are presented that can be used to estimate mean loads for chemical oxygen demand, suspended solids, dissolved solids, total nitrogen, total ammonia plus nitrogen, total phosphorous, dissolved phosphorous, total copper, total lead, and total zinc at unmonitored sites in urban areas. Explanatory variables include drainage area, imperviousness of drainage basin to infiltration, mean annual rainfall, a land-use indicator variable, and mean minimum January temperature. Model parameters are estimated by a generalized-least-squares regression method that accounts for cross correlation and differences in reliability of sample estimates between sites. The regression models account for 20 to 65 percent of the total variation in observed loads.

Water Resources Bulletin↗

Occurrence, transport, and fate of trace elements, Blue River Basin, Summit County, Colorado: an integrated approach

Mining activities in the Blue River Basin, Summit County, Colorado, have affected the trace-element chemistry and biota along French Gulch and the Blue River. Elevated concentrations of As, Cd, Cu, Pb, and Zn were present in the bed and suspended sediments. Bed sediment trace-element concentrations were high in the streams in and near mining activities in the basin and remained high as water flowed into Dillon Reservoir about 3.5 km downstream. Bed-sediment (< 63 μm) data were useful in assessing the distribution of trace elements in the basin. Suspended-sediment measurements provided information as to the transport of the trace elements. Filtered (< 0.45 μm) water-column trace-element concentrations were orders of magnitude less than the sediment concentrations. Concentrations of Cd and Zn in the water column at some sites exceeded stream water-quality standards. Elevated trace-element concentrations in the sediment and water column are a source of contamination and must be considered in water-quality management of the Blue River Basin.

Environmental Geology↗

Distribution of trace elements in streambed sediment associated with mining activities in the Upper Colorado River Basin, Colorado, USA, 1995-96

Streambed-sediment samples were collected in the Southern Rocky Mountains physiographic province in the Upper Colorado River Basin in Colorado to characterize the occurrence and distribution of trace elements in mined and nonmined areas of the basin. During October 1995 and September 1996, streambed sediment was collected at 37 sites, and the samples were analyzed for trace elements. The ranges in concentrations of As, Cd, Cu, Pb, and Zn at mining sites generally were orders of magnitude higher than the ranges of concentrations at nonmining sites. Sampling sites located in two predominant rock types in mining areas were not significantly different (p > 0.05) for concentrations of As, Cd, Pb, and Zn. Cu was significantly different (p < 0.05) between sites in the two predominant rock types. Concentrations of As, Cd, Cu, Pb, and Zn were not significantly different (p > 0.05) between main-stem sites and tributary sites. Concentrations of As, Cd, Cu, Pb, and Zn exceeded established guidelines for adverse effects on aquatic biota at some sites in the study area. The patterns in concentrations of Cd and Zn, Cd and Pb, and Pb and Zn were highly correlated to one another in this study. Concentrations of trace elements in the <63-??m fraction were higher than in the total particle-size fraction analysis. Comparison of reference sites to sites affected by a mine source indicated that trace- element concentrations initially increased downstream of the source and then gradually decreased in concentration with distance from the source.

Archives of Environmental Contamination and Toxico↗

Regression models for estimating urban storm-runoff quality and quantity in the United States

Urban planners and managers need information about the local quantity of precipitation and the quality and quantity of storm runoff if they are to plan adequately for the effects of storm runoff from urban areas. As result of this need, linear regression models were developed for the estimation of storm-runoff loads and volumes from physical, land-use, and climatic characteristics of urban watersheds throughout the United States. Three statistically different regions were delineated, based on mean annual rainfall, to improve linear regression models. One use of these models is to estimate storm-runoff loads and volumes are gaged and ungaged urban watersheds. The most significant explanatory variables in all linear regression models were total storm rainfall and total contributing drainage area. Impervious area, land-use, and mean annual climatic characteristics were also significant explanatory variables in some linear regression models. Models for dissolved solids, total nitrogen, and total ammonia plus organic nitrogen as nitrogen were the most accurate models for most areas, whereas models for suspended solids were the least accurate. The most accurate models were those for the more arid western United States, and the least accurate were those for areas that had large quantities of mean annual rainfall.

Journal of Hydrology↗

US Geological Survey urban-stormwater data base of constituent storm loads; characteristics of rainfall, runoff, and antecedent conditions; and basin characteristics

A data base which consists of constituent storm loads, characteristics of rainfall, runoff, and antecedent conditions, and basin characteristics measured at most of the stations in the U.S. Geological Survey urban-stormwater data-collection network in metropolitan areas throughout the United States has been compiled. Tables of these constituents storm loads and characteristics are presented in this report. The data base also is available on magnetic tape. The data represent 1,144 storms at 97 stations in 21 metropolitan areas. Storm loads for 18 constituents and 15 characteristics of rainfall, runoff, and antecedent conditions are reported. Twenty-eight selected basin characteristics also are reported, including 11 categories of land use. (USGS)

Water-Resources Investigations Report↗

Hydrogeology of and potential mining impacts on strippable lignite areas in the Denver Aquifer, east-central Colorado

This study describes the hydrogeology of and potential impacts of mining on strippable lignite areas in the Denver aquifer in the east-central Colorado plains. Strippable lignitic coal seams , 20 to 60 ft thick, are present in the Denver Formation. The Denver aquifer, the saturated part of the Denver Formation, is likely to be affected locally by surface mining of lignite. Transmissivity of the aquifer in the study area ranges from 145 to 1,000 mg/L to the northeast in the study area as, hydraulic head decreases from 6,600 to 5,400 ft. Distance-drawdown curves show the extent of water level drawdown near a dewatered surface mine. After reclamation of the lignite mine pit, flow through the lignite spoil pile may increase the dissolved solids concentrations in the Denver aquifer. This increase could occur, because, as water from rain and overland flow percolates through the newly-exposed rock surfaces in the spoil material, minerals from the overburden can be dissolved in the water, which then joins with water from the aquifer. This increase could locally change streams, springs, and alluvial and bedrock aquifers. (USGS)

Water-Resources Investigations Report↗

U.S. Geological Survey urban-stormwater data base for 22 metropolitan areas throughout the United States

The U.S. Geological Survey has been collecting urban rainfall, runoff, and water-quality data nationally for several decades. These data have been stored in many data bases and locations. A collective urban-stormwater data base has now been assembled on magnetic tape and contains data from the U.S. Geological Survey 's urban-stormwater program, that includes data from the Nationwide Urban Runoff Program. Stations having simultaneous rainfall, runoff, and water-quality data were selected for the data base. Rigorous quality-assurance procedures were followed to ensure that the data were of good quality. The resultant data base contains information for 723 storms from 99 stations in 22 metropolitan areas throughout the United States. Data for five or more storms are available for about two-thirds of the stations. This data base is available to the public in standardized format on magnetic tape. This publication explains the content and format of the tape. (USGS)

Open-File Report↗

Hydrology of area 53, northern Great Plains and Rocky Mountain coal provinces, Colorado, Wyoming, and Utah

Hydrologic information and analysis are needed to aid in decisions to lease Federally owned coal and for the preparation of the necessary Environmental Assessments and Impact Study Reports. This need has become even more critical with the enactment of the Surface Mining Control and Reclamation Act of 1977 (Public Law 95-87). This report, one in a series of nationwide coal province reports, presents information thematically by describing single hydrologic topics through the use of brief texts and accompanying maps, graphs, or other illustrations. The report broadly characterizes the hydrology of Area 53 in northwestern Colorado, south-central Wyoming, and northeastern Utah. The report area, located primarily in the Wyoming Basin and Colorado Plateau physiographic provinces, consists of 14,650 square miles of diverse geology, topography, and climate. This diversity results in contrasting hydrologic characteristics. The two major rivers, the Yampa and the White Rivers, originate in humid granitic and basaltic mountains, then flow over sedimentary rocks underlying semiarid basins to their respective confluences with the Green River. Altitudes range from 4,800 to greater than 12,000 feet above sea level. Annual precipitation in the mountains, as much as 60 inches, is generally in the form of snow. Snowmelt produces most streamflow. Precipitation in the lower altitude sedimentary basins, ranging from 8 to 16 inches, is generally insufficient to sustain streamflow; therefore, most streams originating in the basins (where most of the streams in coal-mining areas originate) are ephemeral. Streamflow quality is best in the mountains where dissolved-solids concentrations generally are small. As streams flow across the sedimentary basins, mineral dissolution from the sedimentary rocks and irrigation water with high mineral content increase the dissolved-solids concentrations in a downstream direction. Due to the semiarid climate of the basins, soils are not adequately leached; consequently, flows in the ephemeral streams usually have larger concentrations of dissolved solids than those in perennial streams. Ground-water supplies are restricted by the low yields of wells due to small permeability. Most ground-water use is for domestic and stock-watering purposes; it is limited by the amount and type of dissolved material. The ground-water ionic composition is highly variable. Dissolved-solids concentrations for aquifers sampled in Area 53 range from a minimum of 46 milligrams per liter to a maximum of 109,000 milligrams per liter. Trace element concentrations generally are not a problem. An estimated 82 billion tons of coal exist above a depth of 6,000 feet in the Colorado parts of the area. The coal beds of greatest economic interest occur in the sedimentary deposits of the Upper Cretaceous Iles and Williams Fork Formations of the Mesaverde Group and the Upper Cretaceous Lance Formation and the Fort Union and Wasatch Formations of Tertiary age. The coal characteristically has a low sulfur content. Hydrologic problems related to surface mining are erosion, sedimentation, decline in water levels, disruption of aquifers, and degradation of water quality. Because the semiarid mine areas have very little runoff and the major streams have large buffer and dilution capacities, the effects of mining on surface water are minimal. However, effects on ground water may be much more severe and long lasting.

Colorado, Wyoming and Utah↗