USGS Water Resources Applications Software: LOADEST
This page contains a set of links to various online statistical resources. These resources include publications related to load estimation, sampling strategy, detection limits, and continuous water quality variables. Links to statistical software packages distributed by the USGS are also provided.
Note: For additional publications, see the "Applications" section of this Web Site and the "References" section of the LOADEST documentation. Access to journal articles may be restricted to site visitors with personal or institutional subscriptions to the specific journals. Access to PDF files () requires Adobe Reader or an alternate PDF viewer.
Aulenbach, B.T., and
Hooper, R.P., 2006,
The composite method: an improved method for stream-water solute load estimation: Hydrological Processes, v. 20, p. 3029-3047, DOI: 10.1002/hyp.6147.
HTML | PDF (207KB)
Cohn, T.A., 2005,
Estimating contaminant loads in rivers: An application of adjusted maximum likelihood to type 1 censored data: Water Resources Research, v. 41, W07003, doi:10.1029/2004WR003833
HTML | PDF (197KB)
Horowitz, A.J., 2003,
An evaluation of sediment rating curves for estimating suspended sediment concentrations for subsequent flux calculations: Hydrological Processes, v. 17, no. 17, p. 3387-3409, doi:10.1002/hyp.1299
HTML | PDF (1.6MB)
Endreny, T.A., Hassett,
J.M., and Wolosoff, S.E., 2005,
Robustness of pollutant loading estimators for sample size reduction in a suburban watershed: International Journal of River Basin Management, v. 3, no. 1, p. 53-66.
Horowitz, A.J., 1995,
The use of suspended sediment and associated trace elements in water quality studies : IAHS Special Publication No. 4, IAHS Press, Wallingford, Oxfordshire, U.K., 58 p.
Horowitz, A.J., Elrick, K.A., and Smith,
Estimating suspended sediment and trace element fluxes in large river basins: methodological considerations as applied to the NASQAN programme : Hydrological Processes, v. 15, no. 7, p. 1107-1132, doi:10.1002/hyp.206
HTML | PDF (253KB)
Robertson, D.M., 2003,
Influence of different temporal sampling sampling strategies on estimating total phosphorus and suspended sediment concentration and transport in small streams: Journal of the American Water Resources Association, v. 39, no. 5, p. 1281-1308.
HTML | PDF (924KB)
Robertson, D.M., and Roerish, E.D.,
Influence of various water quality sampling strategies on load estimates for small streams: Water Resources Research, v. 35, no. 12, p. 3747-3759.
HTML | PDF (158KB)
Sprague, L.A., 2001,
Effects of storm-sampling frequency on estimation of water-quality loads and trends in two tributaries to Chesapeake Bay in Virginia: U.S. Geological Survey Water-Resources Investigations Report 01-4136, 44 p.
Helsel, D.R., 1990,
Less than obvious - statistical treatment of data below the detection limit: Environmental Science & Technology, v. 24, no. 12, p. 1766-1774, doi:10.1021/es00082a001.
Helsel, D.R., 2005,
Nondetects and Data Analysis: Statistics for Censored Environmental Data: John Wiley and Sons, New York, 268 p.
Helsel, D.R., 2005,
Insider Censoring: Distortion of Data with Nondetects: Human and Ecological Risk Assessment, v. 11, no. 6, p. 1127-1137, doi:10.1080/10807030500278586.
Helsel, D.R., 2006,
Fabricating data: How substituting values for nondetects can ruin results, and what can be done about it: Chemosphere, v. 65, no. 11, p. 2434-2439, doi:10.1016/j.chemosphere.2006.04.051.
HTML | PDF (137KB)
Lee, L, and Helsel, D., 2005,
Baseline models of trace elements in major aquifers of the United States: Applied Geochemistry, v. 20, no. 8, p. 1560-1570, doi:10.1016/j.apgeochem.2005.03.008.
HTML | PDF (691KB)
Jian, X., Ziegler, A.C., 2000,
Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99: U.S. Geological Survey Water-Resources Investigations Report 00-4126, 36 p.
Rasmussen, T.J., Ziegler, A.C., Rasmussen,
Estimation of constituent concentrations, densities, loads, and yields in lower Kansas River, northeast Kansas, using regression models and continuous water-quality monitoring, January 2000 through December 2003: U.S. Geological Survey Scientific Investigations Report 2005-5165, 126 p.
HTML | PDF (14.7MB)
Note: For a complete listing of Water Resource software packages distributed by the USGS, see Water Resources Applications Software.
ESTREND - A System for the Detection of Trends in Water-Quality Data
GCLAS - Graphical Constituent Loading Analysis System
SPARROW - SPAtially Referenced Regressions On Watershed Attributes