Premium
The Road to NHDP lus — Advancements in Digital Stream Networks and Associated Catchments
Author(s) -
Moore Richard B.,
Dewald Thomas G.
Publication year - 2016
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/1752-1688.12389
Subject(s) - geospatial analysis , digital elevation model , watershed , geological survey , geographic information system , streamflow , environmental science , hydrology (agriculture) , spatial data infrastructure , computer science , drainage basin , remote sensing , spatial analysis , geology , cartography , geography , paleontology , machine learning , geotechnical engineering
A progression of advancements in Geographic Information Systems techniques for hydrologic network and associated catchment delineation has led to the production of the National Hydrography Dataset Plus ( NHDP lus). NHDP lus is a digital stream network for hydrologic modeling with catchments and a suite of related geospatial data. Digital stream networks with associated catchments provide a geospatial framework for linking and integrating water‐related data. Advancements in the development of NHDP lus are expected to continue to improve the capabilities of this national geospatial hydrologic framework. NHDP lus is built upon the medium‐resolution NHD and, like NHD , was developed by the U.S. Environmental Protection Agency and U.S. Geological Survey to support the estimation of streamflow and stream velocity used in fate‐and‐transport modeling. Catchments included with NHDP lus were created by integrating vector information from the NHD and from the Watershed Boundary Dataset with the gridded land surface elevation as represented by the National Elevation Dataset. NHDP lus is an actively used and continually improved dataset. Users recognize the importance of a reliable stream network and associated catchments. The NHDP lus spatial features and associated data tables will continue to be improved to support regional water quality and streamflow models and other user‐defined applications.