Estimation of monthly water yields and flows for 1951-2012 for the United States portion of the Great Lakes Basin with AFINCH

Scientific Investigations Report 2014-5192
By: , and 

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Abstract

Monthly water yields from 105,829 catchments and corresponding flows in 107,691 stream segments were estimated for water years 1951–2012 in the Great Lakes Basin in the United States. Both sets of estimates were computed by using the Analysis of Flows In Networks of CHannels (AFINCH) application within the NHDPlus geospatial data framework. AFINCH provides an environment to develop constrained regression models to integrate monthly streamflow and water-use data with monthly climatic data and fixed basin characteristics data available within NHDPlus or supplied by the user. For this study, the U.S. Great Lakes Basin was partitioned into seven study areas by grouping selected hydrologic subregions and adjoining cataloguing units. This report documents the regression models and data used to estimate monthly water yields and flows in each study area. Estimates of monthly water yields and flows are presented in a Web-based mapper application. Monthly flow time series for individual stream segments can be retrieved from the Web application and used to approximate monthly flow-duration characteristics and to identify possible trends.

Study Area

Additional publication details

Publication type Report
Publication Subtype USGS Numbered Series
Title Estimation of monthly water yields and flows for 1951-2012 for the United States portion of the Great Lakes Basin with AFINCH
Series title Scientific Investigations Report
Series number 2014-5192
DOI 10.3133/sir20145192
Year Published 2015
Language English
Publisher U.S. Geological Survey
Publisher location Reston, VA
Contributing office(s) Michigan Water Science Center
Description Report: vii, 83 p.; The Great Lakes Restoration Initiative (GLRI) Mapper
Time Range Start 1951-01-01
Time Range End 2012-12-31
Country United States
Other Geospatial Great Lakes Basin
Online Only (Y/N) Y
Additional Online Files (Y/N) Y