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Analysis codes to conduct Quantile-Kendall trend analysis across flow duration curve of streamflow in urbanizing watersheds across U.S.
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| Created: | May 11, 2020 at 8:49 p.m. | |
| Last updated: | May 07, 2021 at 4:51 p.m. | |
| DOI: | 10.4211/hs.2279cac6748944d39035dacb6c2c8a85 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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Abstract
These are a set of codes to accompany the Water Resources Research submission by Bhaskar et al.
The following codes are run in this order:
1. GAGESII_subset_urbanizing.R
This codes identifies urbanizing watersheds and associated peak 20-year periods of urbanization from GAGES-II based on the criteria of:
1. Drainage area < 200 km2
2. 20 years of completely gap-free daily flow
3. Unaffected by regulation or diversion
4. Housing density increased by > 40% during period of analysis
5. Housing density > 200 housing units/km2 at end of analysis period
6. Imperviousness > 20% in 2012
2. selection_of_reference_gages.R
This code picks a reference gage from GAGES-II reference gages for each urbanizing gage based on the minimization of a function with 4 criteria: distance, similar drainage area, similar precipitation, and similar geology.
3. compare_urbanizing_gage_trends.R
This code calculates quantile-Kendall trend slopes for just the urbanizing gages.
4. gages_reference_vs_urbanizing.R
This code calculates quantile-Kendall trend slopes for the urbanizing and reference gages, subtracts them, creates plots, and has regression analysis. This code uses gages_urbanizing_2019-11-27_Plotting.groups.csv to group urbanizing gages into regional groups for plotting purposes.
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| The content of this resource is derived from | https://waterdata.usgs.gov/blog/quantile-kendall/ |
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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