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D. L. Lorenz

Publications and source records attributed to D. L. Lorenz.

At least 19 recordsLinked to original sources
USGS2011

Flooding and Flood Management

Floods result in great human disasters globally and nationally, causing an average of $4 billion of damages each year in the United States. Minnesota has its share of floods and flood damages, and the state has awarded nearly $278 million to local units of government for flood mitigation projects through its Flood Hazard Mitigation Grant Program. Since 1995, flood mitigation in the Red River Valley has exceeded $146 million. Considerable local and state funding has been provided to manage and mitigate problems of excess stormwater in urban areas, flooding of farmlands, and flood damages at road crossings. The cumulative costs involved with floods and flood mitigation in Minnesota are not known precisely, but it is safe to conclude that flood mitigation is a costly business. This chapter begins with a description of floods in Minneosta to provide examples and contrasts across the state. Background material is presented to provide a basic understanding of floods and flood processes, predication, and management and mitigation. Methods of analyzing and characterizing floods are presented because they affect how we respond to flooding and can influence relevant practices. The understanding and perceptions of floods and flooding commonly differ among those who work in flood forecasting, flood protection, or water resource mamnagement and citizens and businesses affected by floods. These differences can become magnified following a major flood, pointing to the need for better understanding of flooding as well as common language to describe flood risks and the uncertainty associated with determining such risks. Expectations of accurate and timely flood forecasts and our ability to control floods do not always match reality. Striving for clarity is important in formulating policies that can help avoid recurring flood damages and costs.

Minnesota↗
USGS2010

Comparison of two parametric methods to estimate pesticide mass loads in California's Central Valley

Mass loadings were calculated for four pesticides in two watersheds with different land uses in the Central Valley, California, by using two parametric models: (1) the Seasonal Wave model (SeaWave), in which a pulse signal is used to describe the annual cycle of pesticide occurrence in a stream, and (2) the Sine Wave model, in which first-order Fourier series sine and cosine terms are used to simulate seasonal mass loading patterns. The models were applied to data collected during water years 1997 through 2005. The pesticides modeled were carbaryl, diazinon, metolachlor, and molinate. Results from the two models show that the ability to capture seasonal variations in pesticide concentrations was affected by pesticide use patterns and the methods by which pesticides are transported to streams. Estimated seasonal loads compared well with results from previous studies for both models. Loads estimated by the two models did not differ significantly from each other, with the exceptions of carbaryl and molinate during the precipitation season, where loads were affected by application patterns and rainfall. However, in watersheds with variable and intermittent pesticide applications, the SeaWave model is more suitable for use on the basis of its robust capability of describing seasonal variation of pesticide concentrations.

California↗
USGS2010

Mercury trends in fish from rivers and lakes in the United States, 1969-2005

A national dataset on concentrations of mercury in fish, compiled mainly from state and federal monitoring programs, was used to evaluate trends in mercury (Hg) in fish from US rivers and lakes. Trends were analyzed on data aggregated by site and by state, using samples of the same fish species and tissue type, and using fish of similar lengths. Site-based trends were evaluated from 1969 to 2005, but focused on a subset of the data from 1969 to 1987. Data aggregated by state were used to evaluate trends in fish Hg concentrations from 1988 to 2005. In addition, the most recent Hg fish data (1996–2005) were compared to wet Hg deposition data from the Mercury Deposition Network (MDN) over the same period. Downward trends in Hg concentrations in fish from data collected during 1969–1987 exceeded upward trends by a ratio of 6 to 1. Declining Hg accumulation rates in sediment and peat cores reported by many studies during the 1970s and 1980s correspond with the period when the most downward trends in fish Hg concentrations occurred. Downward Hg trends in both sediment cores and fish were also consistent with the implementation of stricter regulatory controls of direct releases of Hg to the atmosphere and surface waters during the same period. The southeastern USA had more upward Hg trends in fish than other regions for both site and state aggregated data. Upward Hg trends in fish from the southeastern USA were associated with increases in wet deposition in the region and may be attributed to a greater influence of global atmospheric Hg emissions in the southeastern USA. No significant trends were found in 62% of the fish species from six states from 1996 to 2005. A lack of Hg trends in fish in the more recent data was consistent with the lack of trends in wet Hg deposition at MDN sites and with relatively constant global emissions during the same time period. Although few significant trends were observed in the more recent Hg concentrations in fish, it is anticipated that Hg concentrations in fish will respond to changes in atmospheric Hg deposition, however, the magnitude and timing of the response is uncertain.

Environmental Monitoring and Assessment↗
USGS2007

Comparison of local- to regional-scale estimates of ground-water recharge in Minnesota, USA

Regional ground-water recharge estimates for Minnesota were compared to estimates made on the basis of four local- and basin-scale methods. Three local-scale methods (unsaturated-zone water balance, water-table fluctuations (WTF) using three approaches, and age dating of ground water) yielded point estimates of recharge that represent spatial scales from about 1 to about 1000 m 2 . A fourth method (RORA, a basin-scale analysis of streamflow records using a recession-curve-displacement technique) yielded recharge estimates at a scale of 10–1000s of km 2 . The RORA basin-scale recharge estimates were regionalized to estimate recharge for the entire State of Minnesota on the basis of a regional regression recharge (RRR) model that also incorporated soil and climate data. Recharge rates estimated by the RRR model compared favorably to the local and basin-scale recharge estimates. RRR estimates at study locations were about 41% less on average than the unsaturated-zone water-balance estimates, ranged from 44% greater to 12% less than estimates that were based on the three WTF approaches, were about 4% less than the age dating of ground-water estimates, and were about 5% greater than the RORA estimates. Of the methods used in this study, the WTF method is the simplest and easiest to apply. Recharge estimates made on the basis of the UZWB method were inconsistent with the results from the other methods. Recharge estimates using the RRR model could be a good source of input for regional ground-water flow models; RRR model results currently are being applied for this purpose in USGS studies elsewhere.

Minnesota↗
USGS2006

A regression model to estimate regional ground water recharge

A regional regression model was developed to estimate the spatial distribution of ground water recharge in subhumid regions. The regional regression recharge (RRR) model was based on a regression of basin-wide estimates of recharge from surface water drainage basins, precipitation, growing degree days (GDD), and average basin specific yield (SY). Decadal average recharge, precipitation, and GDD were used in the RRR model. The RRR estimates were derived from analysis of stream base flow using a computer program that was based on the Rorabaugh method. As expected, there was a strong correlation between recharge and precipitation. The model was applied to statewide data in Minnesota. Where precipitation was least in the western and northwestern parts of the state (50 to 65 cm/year), recharge computed by the RRR model also was lowest (0 to 5 cm/year). A strong correlation also exists between recharge and SY. SY was least in areas where glacial lake clay occurs, primarily in the northwest part of the state; recharge estimates in these areas were in the 0- to 5-cm/year range. In sand-plain areas where SY is greatest, recharge estimates were in the 15- to 29-cm/year range on the basis of the RRR model. Recharge estimates that were based on the RRR model compared favorably with estimates made on the basis of other methods. The RRR model can be applied in other subhumid regions where region wide data sets of precipitation, streamflow, GDD, and soils data are available.

Minnesota↗
USGS2004

Estimation of travel times for seven tributaries of the Mississippi River, St. Cloud to Minneapolis, Minnesota, 2003

Travel times for seven streams tributary to the Mississippi River from St. Cloud to Minneapolis, Minnesota, were estimated for three flow conditions; low, median, and high. Travel times were estimated for Sauk, Elk, Crow, and Rum Rivers, and Elm, Coon, and Rice Creeks. Regression equations based on watershed characteristics of drainage area, river slope, mean annual discharge, and instantaneous discharge at the time of measurement from more than 900 streams across the nation were used to estimate travel times. Travel times were estimated for the leading edge, peak concentration, and trailing edge of tracer-response curves. To test the validity of these equations, a time of travel study, using a luminescent dye, was conducted on the Sauk River, from Rockville, to the confluence with the Mississippi River on June 16, 2003, at a discharge of 457 ft 3 /s at Rockville. Dye was injected in the Sauk River at Rockville, and time and concentrations were measured at three sampling sections downstream; at County Road 121, Veterans Drive, and County Road 1 near the mouth. The estimated travel times for the leading edge, peak concentration, and trailing edge at County Road 1 were 10.6 hrs, 11.9 hrs, and 14.6 hrs, respectively. The measured travel times for the leading edge, peak concentration, and trailing edge were 13.4 hrs, 15.5 hrs, and 20.5 hrs, respectively for the 15.7 mile reach.

Minnesota↗
USGS2003

Comparison of two methods for delineating land use near monitoring wells used for assessing quality of shallow ground water

Two methods were compared for delineating land use near shallow monitoring wells. These wells were used to assess the effects of agricultural cropland on the quality of recently recharged ground water in two sand and gravel aquifers located near land surface. The two methods for delineating land use near wells were (1) the sector method, which used potentiometric-surface maps to estimate average flow direction and a ground-water-flow model to estimate maximum length of contributing area to the monitoring well within an upgradient sector; and (2) the circle method, which used a 500- meter radius circle around the well based on a national empirical analysis. Land uses were compiled for 29 wells in each of two surficial aquifers in the Red River of the North Basin within the area defined by each method. Land use near each well was interpreted from orthorectified photographs and site inspection for both delineation methods. Land use near individual wells characterized by each method varied greatly, which can affect the results of statistical correlations between land use and water quality. Land use determined by the circle method related more closely to the land use for each entire study area. Land use determined by the sector method (within 200 meters from the wells) compared more favorably to ground-water quality based on nitrate concentrations. The maximum length of contributing areas to wells estimated in this study may be of value for other studies of unconsolidated sand and gravel aquifers with similar hydrogeological characteristics of permeability, water-table slopes, recharge, and depth to water. The additional effort required for estimating the model delineation of land use and land cover for the sector method must be weighed against the improved confidence in statistical correlation between land use and the quality of shallow ground water. Improved scientific confidence and understanding of relations between land use and quality of ground water may encourage more effective implementation of land and water management for protecting water quality

Minnesota, North Dakota↗
USGS2000

Development of a stream habitat index for use with an Index of Biotic Integrity in the St. Croix River Basin, Minnesota

More than 70 streams in the St. Croix River Basin in Minnesota were sampled for fish community composition and physical habitat during 1996–98. A habitat index was developed based on measurements, field observations, and land use. The objective was to develope a habitat index for use to evaluate water quality and the effects of nonpoint-source effects not associated with habitat degradation. Core habitat variables were determined with a concurrence analysis using principal components of two subsets of sites with pristine or least affected habitat. Although core habitat variables differed slightly between data sets, sufficient similarities allowed development of an index. The index (the sum of pluses or minuses dependent on the variable’s correlation to biotic integrity), composed of 12 core habitat variables in 5 classification groups (hydrology, geomorphology, substrate, instream habitat, and riparian/land use), was able to distinguish sites with low Index of Biotic Integrity scores not related to habitat degradation.

Minnesota, Wisconsin↗
USGS1999

Estimation of nitrate contamination of an agro-ecosystem outwash aquifer using a nitrogen mass-balance budget

A mass-balance budget of N cycling was developed for an intensive agricultural area in west-central Minnesota to better understand NO3/- contamination of ground water in the Otter Tail outwash aquifer. Fertilizer, biological fixation, atmospheric deposition, and animal feed were the N sources, and crop harvests, animal product exports, volatilization from fertilizer and manure, and denitrification were the N sinks in the model. Excess N, calculated as the difference between the sources and sinks, was assumed to leach to ground water as NO3/-. The budget was developed using ground water data collected throughout the 212-km2 study area. Denitrification was estimated by adjusting its value so the predicted and measured concentrations of NO3/- in ground water agreed. Although biological fixation was the largest single N source, most was removed when crops were harvested, indicating that inorganic fertilizer was the primary source of N reaching the water table. It was estimated that denitrification removed almost half of the excess NO3/- that leached below the root zone. Even after accounting for denitrification losses, however, it was concluded that the ground water system was receiving approximately three times as much N as would be expected under background conditions.

Journal of Environmental Quality↗
USGS1998

Water quality in the Red River of the North Basin, Minnesota, North Dakota, and South Dakota, 1992-95

This report is intended to summarize major findings that emerged between 1992 and 1995 from the water-quality assessment of the River River of the North basin study unit and to relate these findings to water-quality issues of regional and national concern. The information in primarily intended for those who are involved in water-resource management. Yet the information contained here may also interest those who simply wish to know more about the quality of water in the rivers and aquifers in the area where they live.

Circular↗
USGS1997

Nutrients, suspended sediment, and pesticides in streams in the Red River of the North basin, Minnesota, North Dakota, and South Dakota, 1993-95

Fifteen stream sites in the Red River of the North Basin were sampled during 1993-95 to assess levels of nutrients, organic carbon, and suspended sediment, and five sites were sampled for pesticides. Concentrations varied seasonally and were related to periods of fertilizer and pesticide application, and to runoff. Concentrations of several constituents were related to the physiographic area the stream drains, but other factors such as local land use frequently complicated that relation. Median dissolved nitrogen concentrations were highest in streams influenced by the Red River Valley Lake Plain physiographic area. Organic nitrogen comprised the largest part of the dissolved nitrogen in streams. Ammonia was negligible most of the year, but accumulated under ice in late winter. Nitrate concentrations generally were highest during snowmelt and rainfall runoff. Phosphorus in streams mostly was in the dissolved form, which is readily available to biota. Streams draining the Moraine and Lake-Washed Till Plain had the lowest concentrations of total phosphorus, while Drift Prairie and Red River Valley Lake Plain streams had the highest concentrations. Concentrations of both dissolved and suspended phosphorus increased substantially during runoff of snowmelt and rainfall. The Bois de Sioux River Basin had the highest nitrogen yield. High nitrogen and phosphorus yields probably were related to agricultural practices in the Bois de Sioux River Basin. High phosphorus concentrations in the Pembina River probably result from agricultural practices and runoff from the steep terrain in the basin. Improved wastewater treatment appears to have reduced ammonia concentrations in streams, but has resulted in increased nitrate concentrations. The loads of nitrogen and phosphorus in the Red River of the North during this study were about twice as high as historical loads, but still were only about 4.1 and 2.4 percent, respectively, of the amounts introduced to the study unit. Dissolved organic carbon concentrations above 15 mg/L were common in streams draining peatlands. Suspended organic carbon concentrations were highly variable and generally were highest during runoff. Most suspended sediment in streams was clay and silt sized particles. The Pembina River had the highest concentrations and yields of suspended sediment, probably the result of erosion along this relatively high-gradient stream. Streams having an abundance of lakes, reservoirs, and wetlands in their watersheds had the lowest sediment concentrations and yields. Several pesticides were frequently detected. Atrazine and other triazine compounds were detected in most stream-water samples throughout the study. Concentrations of triazine herbicides were highest in streams draining southern parts of the study unit where they are applied to corn. Triallate was commonly detected in northern streams where it is applied to small grains and sunflowers. Simazine and prometon were commonly detected, but generally are used only for nonagricultural purposes. Few insecticides were detected in stream-water samples. Carbofuran was the most commonly detected insecticide and was found in 16 percent of the samples. The most heavily used herbicides, 2,4-D and MCPA, were infrequently detected in stream-water samples. Of the estimated applications of atrazine, triallate, and 2,4-D, about 0.9, 0.06, and 0.02 percent of each of these compounds, respectively, was carried out of the study unit by the Red River of the North during 1993-95.

Minnesota, North Dakota, South Dakota↗
USGS1997

Generalized skew coefficients for flood-frequency analysis in Minnesota

This report presents an evaluation of generalized skew coefficients used in flood-frequency analysis. Station skew coefficients were computed for 267 long-term stream-gaging stations in Minnesota and the surrounding states of Iowa, North and South Dakota, Wisconsin, and the provinces of Manitoba and Ontario, Canada. Generalized skew coefficients were computed from station skew coefficients using a locally weighted regression technique. The resulting regression trend surface was the generalized skew coefficient map, except for the North Shore area, and has a mean square error of 0.182.

Water-Resources Investigations Report↗
USGS1997

Techniques for estimating peak flow on small streams in Minnesota

Two statistically-derived techniques, regional regression equation and region of influence regression, that estimate peak flow on small, ungaged streams in Minnesota were developed. Both techniques relate physical and climatic characteristics to peak flow for 2-, 5-, 10-, 25-, 50-, and 100-year recurrence intervals. Regional regression equations were developed for each recurrence interval in each of six regions in Minnesota. The region of influence regression technique dynamically selects stations with characteristics similar to a site of interest. Thus, the region of influence regression technique allows use of a potentially unique set of stations for estimating peak flow at each site of interest. Two methods of selecting streamflow gaging stations, similarity and proximity, are recommended for use in the region of influence regression technique. The regional regression equation technique is recommended as a first estimate of peak flow in regions C, E, and F. The similarity method of the region of influence regression technique should be used as a first estimate in regions A and D. The proximity method should be used as a first estimate in region B. Tables showing the peak-flow-frequency data and basin characteristics for streamflow gaging stations, and regional peak-flow prediction equations, are documented.

Minnesota↗
USGS1996

Sampling design for assessing water quality of the Red River of the North basin, Minnesota, North Dakota, and South Dakota, 1993-1995

This map report describes the sampling design for a comprehensive regional assessment of water quality in the Red River of the North Basin, a study unit under the U.S. Geological Survey’s National Water-Quality Assessment Program. The sampling design was developed to address questions about the presence, distribution, and loads of nutrients and pesticides associated with large agricultural regions in the basin and across the Nation. The design also begins to address major local and regional concerns about suspended sediment in surface water and naturally occurring salinity in ground water. Recognizing that the Red River of the North Basin study unit realistically could not be analyzed as a single homogeneous area, a hierarchical sampling stratification for assessing water quality was developed. Landscape features consisting of physiography, soils, land cover and land use, and cropping patterns provided the environmental framework for stratification of streams and surficial aquifers. The environmental framework characterizes the climate and hydrology and relates closely to an ecoregions framework. The environmental and ecoregions frameworks were considered in locating ecological sampling sites. For the subsurface framework, buried sand and gravel aquifers in study unit were subdivided into two general subregions of differing potential saline recharge from underlying bedrock aquifers. Actual sampling sites for streams, aquatic biology, and ground water were described within the proposed sampling stratification. Practical considerations of previously established sampling sites, background information from previous hydrologic investigations, and site suitability for sampling protocols also were considered for final site selection.

Minnesota, North Dakota, South Dakota↗
USGS1996

Relation of physical and chemical characteristics of streams to fish communities in the Red River of the North basin, Minnesota and North Dakota, 1993-95

Fish community composition was determined at 33 reaches (average length 150 meters) at 22 sites in the Red River of the North Basin during 1994. Sites were selected to represent a range of stream sizes and ecoregions within the basin. Physical and chemical characteristics (classified in data sets of instream habitat, terrestrial habitat, hydrology, and water quality) were determined for various sites for periods ranging from two to 48 years. Instream habitat measurements were made from 1993 through 1995 for 31 reaches at 19 sites. Terrestrial habitat measures of land use/land cover, soils, and riparian zones were determined from a geographical information system coverage for 23 reaches at 14 sites. The geographical information system coverage used data from aerial photographs taken from 1990 and 1991, National Wetlands Inventory data, soils maps from the Natural Resource Conservation Service, and data from the U.S. Department of Agriculture soils data base. Water chemistry data were collected from 14 sites in the basin from 1993 through 1994. Hydrologic variability was determined from U.S. Geological Survey gaging records. Correlation analysis, cluster analysis, and principal components analysis were used to determine representative variables which accounted for the most variation in each data set. The representative variables and the fish community data were analyzed with canonical correspondence analysis to determine the relative effect of each source of environmental influence on fish community composition. Instream habitat, terrestrial habitat, and hydrologic variability were analyzed together. Water chemistry data were analyzed separately due to a lack of corresponding sites. Within the instream habitat data set, measures of habitat volume (channel width and depth) and habitat diversity were most significant in explaining the variability of the fish communities. The amount of nonagricultural land and riparian zone integrity from the terrestrial habitat data set were also useful in explaining fish community composition. Variability of mean monthly discharge and the frequency of high and low discharge events during the three years prior to fish sampling were the most influential of the hydrologic variables.The first two axes of the canonical correspondence analysis accounted for 43.3 percent of the variation in the fish community and 52.5 percent of the variation in the environmental-species relation. Water-quality indicators such as the percent of fine material in suspended sediment, minimum dissolved oxygen concentrations, minimum concentrations of dissolved organic carbon, and the range of concentrations of major ions and nutrients were the variables that were most important in the canonical correspondence analysis of water-quality data with fish. No single environmental variable or data set appeared to be more important than another in explaining variation in the fish community. The environmental factors affecting the fish communities of the Red River of the North are interrelated. For the most part, instream environmental conditions (instream habitat, hydrology, and water chemistry) appear to be more important in explaining variability in fish community composition than factors related to the agricultural nature of the basin.

Minnesota, North Dakota, South Dakota↗
USGS1995

National Water-Quality Assessment Program: Data collection in the Red River of the North Basin, Minnesota, North Dakota, and South Dakota, 1992-95

A water-quality assessment began in 1991 for the Red River of the North (Red River) Basin as part of a national study. Data collection for the reconnainssance and intensive phases of the study briefly is described for each of the major components (streams, aquatic biology, and ground water) used to assess regional water quality. The data will be analyzed to address national and local water-quality concerns.

Red River of the North basin↗
USGS1994

Physical characteristics of stream subbasins in the Lac qui Parle River basin, southwestern Minnesota and eastern South Dakota

Data describing the physical characteristics of stream subbasins upstream from selected points on streams in the Lac qui Parle River basin, located in southwestern Minnesota and eastern South Dakota, are presented in this report. The physical charac- teristics are the drainage area of the subbasin, the percentage area of the subbasin covered only by lakes, the percentage area of the subbasin covered by both lakes and wetlands, the main-channel length. and the main-channel slope. The points on the stream include outlets of subbasins of at least 5 square miles, outfalls of sewage treatment plants, and locations of U.S. Geological Survey low-flow, high-flow, and continuous-record gaging stations.

Minnesota, South Dakota↗