Load Estimator (LOADEST): A FORTRAN Program for Estimating Constituent Loads in Streams and Rivers

By R. Runkel, C. G. Crawford, T. Cohn. 2004

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Estimating contaminant loads in rivers: An application of adjusted maximum likelihood to type 1 censored data (2005, methodology): “The AMLE estimation method is also available as part of the LOADEST package [Runkel et al., 2004], which can be downloaded from the Web at http://water.usgs.gov/pubs/tm/2004/tm4A5/.”
Multi-decadal increases in dissolved organic carbon and alkalinity flux from the Mackenzie drainage basin to the Arctic Ocean (2016, methodology): “We examine changes in concentrations and total fluxes of DOC, alkalinity, and selected major ions, with fluxes modeled from paired daily discharge and point concentration measurements using USGS LoadEstimator (LOADEST) software (Runkel et al 2004).”
The role of precipitation type, intensity, and spatial distribution in source water quality after wildfire (2015, methodology): “Daily DOC and dissolved Mn loads (in kg d−1) were determined using the Load Estimator (LOADEST) program (Runkel et al 2004) using average daily discharge and measured concentrations unless more than three samples were collected in a day (due to a storm event); in that case, daily load was…”
Water Quality Modeling for the Raccoon River Watershed Using SWAT (2006, methodology): “10 Grab samples of water quality data were extrapolated into continuous monthly data using the USGS Load Estimator (LOADEST) regression model (Runkel et al., 2004).”