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Rapid Watershed Delineation Using an Automatic Outlet Relocation Algorithm.

Authors :
Xie, Jiaxin
Liu, Xiaomang
Bai, Peng
Liu, Changming
Source :
Water Resources Research; Mar2022, Vol. 58 Issue 3, p1-13, 13p
Publication Year :
2022

Abstract

Delineating the boundaries of numerous watersheds is essential for hydrological analysis in the big data era. Various techniques, such as ArcGIS, have been developed to delineate watershed boundaries. However, existing techniques suffer from two laborious manual processes: (a) Determine flow accumulation thresholds through trial and error to derive digital stream networks; (b) Manually relocate watershed outlets to the correct stream networks. Here, we proposed an automatic outlet relocation (AOR) algorithm for rapid watershed delineation without manual processing. The AOR algorithm relocates outlets to correct stream networks by analyzing flow accumulation gradients along the flow directions. An experiment using the AOR algorithm in 1,398 watersheds across the contiguous United States showed that 94.1% of the watersheds were correctly delineated, compared to 81.3% accuracy of the ArcGIS relocation algorithm (Snap Pour Point). In addition, the AOR algorithm took 58 min to delineate the 1,398 watersheds on a 90 m‐resolution flow direction, while the ArcGIS algorithm required 586 min to perform the same task. Thus, the AOR algorithm offers an opportunity to automatically delineate a large number of watersheds for hydrological simulations in the big data era. Software with a graphical user interface for the AOR algorithm is freely available on GitHub (https://github.com/xiejx5/watershed_delineation). Key Points: An automatic outlet relocation (AOR) algorithm was developed to circumvent the manual processes in ArcGIS watershed delineationAn experiment in 1,398 watersheds showed AOR had 94.1% accuracy, compared to ArcGIS's 81.3% accuracyAOR provides a tool to automatically delineate a large number of watersheds for hydrological simulations in the big data era [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00431397
Volume :
58
Issue :
3
Database :
Complementary Index
Journal :
Water Resources Research
Publication Type :
Academic Journal
Accession number :
155976977
Full Text :
https://doi.org/10.1029/2021WR031129