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


Summary
Abstract: LOAD ESTimator (LOADEST) is a FORTRAN program for estimating constituent loads in streams and rivers. Given a time series of streamflow, additional data variables, and constituent concentration, LOADEST assists the user in developing a regression model for the estimation of constituent load (calibration). Explanatory variables within the regression model include various functions of streamflow, ... View entire text
Related URL
Description: Download the Load Estimator program (registration optional) .

Description: Load Estimator program documentation.
Service Citation
Edition: 2013
Service Keywords
DATA ANALYSIS AND VISUALIZATION >STATISTICAL APPLICATIONS Parameter Definition
MODELS >COMPONENT PROCESS MODELS Parameter Definition

Access Constraints None
Use Constraints The LOADEST software and related materials (data and documentation) are made available by the U.S. Geological Survey (USGS) to be used in the public interest and the advancement of science. You may, without any fee or cost, use, copy, modify, or distribute this software, and any derivative works thereof, and its supporting documentation, subject to the USGS software User's Rights Notice.
Service Provider
DOI/USGS/WRD/OSW > Office of Surface Water, Water Resource Division, USGS, U.S. Department of the Interior Supplemental Info
Service Organization URL: http://water.usgs.gov/osw/

Service Provider Personnel
Name: WATER RESOURCES U.S. GEOLOGICAL SURVEY
Email: h2osoft at usgs.gov
Contact Address:
U.S.G.S.
Hydrologic Analysis Software Support Program
437 National Center
City: Reston
Province or State: VA
Postal Code: 20192
Country: USA
Personnel
Role: TECHNICAL CONTACT
Email: h2osoft at usgs.gov
Contact Address:
U.S.G.S.
Hydrologic Analysis Software Support Program
437 National Center
City: Reston
Province or State: VA
Postal Code: 20192
Country: USA
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Extended Metadata Properties
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Creation and Review Dates
SERF Creation Date: 2012-01-09
SERF Last Revision Date: 2018-05-30


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