A Rainfall‐Based, Sequential Depression‐Filling Algorithm and Assessments on a Watershed in Northeastern Indiana, USA
Author:
Affiliation:
1. Department of Agricultural and Biological Engineering Purdue University West Lafayette IN USA
2. School of Electrical and Computer Engineering Purdue University West Lafayette IN USA
Funder
National Institute of Food and Agriculture
Foundation for Food and Agriculture Research
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020MS002362
Reference29 articles.
1. What indicators can capture runoff-relevant connectivity properties of the micro-topography at the plot scale?
2. Influence of spatial variations of microtopography and infiltration on surface runoff and field scale hydrological connectivity
3. Comparison of Automated Watershed Delineations
4. Computing water flow through complex landscapes – Part 2: Finding hierarchies in depressions and morphological segmentations
5. Priority-flood: An optimal depression-filling and watershed-labeling algorithm for digital elevation models
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