References

Borel, K., Gregory, L., and Karthikeyan, R. 2012. Modeling Support for the Attoyac Bayou Assessment Using Load Duration Curves. Technical Report 453. College Station, TX: Texas Water Resources Institute. https://twri.tamu.edu/publications/technical-reports/2012-technical-reports/tr-453/.
Byers, H.L., Cabrera, M.L., Matthews, M.K., Franklin, D.H., Andrae, J.G., Radcliffe, D.E., McCann, M.A., et al. 2005. Phosphorus, sediment, and loads in unfenced streams of the georgia piedmont, USA. Journal of Environment Quality 34 (6): 2293. https://doi.org/10.2134/jeq2004.0335.
Fouad, G.G. 2016. Flow duration curve prediction for ungaged basins: A data driven study of the contiguous United States. Dissertation, San Diego, CA: San Diego State University and University of California Santa Barbara. https://escholarship.org/uc/item/0xf850hq.
Grant, G.E., Schmidt, J.C., and Lewis, S.L. 2013. A Geological Framework for Interpreting Downstream Effects of Dams on Rivers. In Water Science and Application, edited by J.E. O’Connor and G.E. Grant, 203–19. Washington, D. C.: American Geophysical Union. https://doi.org/10.1029/007WS13.
Helsel, D.R., Hirsch, R.M., Ryberg, K.R., Archfield, S.A., and Gilroy, E.J. 2020. Statistical Methods in Water Resources: U.S. Geological Survey Techniques and Methods, Book 4, Chapter A3. Reston, VA: USGS. https://doi.org/10.3133/tm4a3.
James, G., Witten, D., Hastie, T., and Tibshirani, R. 2013. An Introduction to Statistical Learning: With Applications in R. Springer Texts in Statistics 103. New York: Springer.
K. L. Wagner, L. A. Redmon, T. J. Gentry, and R. D. Harmel. 2012. Assessment of cattle grazing effects on E. coli runoff. Transactions of the ASABE 55 (6): 2111–22. https://doi.org/10.13031/2013.42503.
Kip, N. 2016. The impact of the comprehensive watersheds ordinance on stream health in Austin, Texas. Thesis, Austin, TX: University of Texas at Austin. http://hdl.handle.net/2152/43590.
Padfield, D. and Matheson, G. 2020. Nls.multstart: Robust Non-Linear Regression Using AIC Scores. https://CRAN.R-project.org/package=nls.multstart.
R Core Team. 2021. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Schlanger, Z. 2018. Out of Sight, out of water: The U.S. and Mexico have only just begun to grapple with the aquifers they share. Texas Observer, August 20, 2018. https://www.texasobserver.org/out-of-sight-out-of-water-the-u-s-and-mexico-have-only-just-begun-to-grapple-with-the-aquifers-they-share/.
Schramm, M. 2020. Data and code for estimating statistical power for detecting long term trends in surface water Escherichia coli concentrations. December 11, 2020. https://doi.org/10.5281/ZENODO.4317858.