CEWA590 StreamGaging

This repository accomponies the streamgaging lecture and homework for CEWA590.

• demo_scraping_NWIS_data.ipynb demonstrates how to load USGS stream gaging data from the NWIS server using python and pandas.
• There is also a folder with DEMs of two USGS gaging site locations: both are located in the Puget Lowland, but the rivers they are located on have very different degrees of morphodynamic adjustment over the last century.

Installation

Install with conda:

1. Clone the repository to your local machine: git clone https://github.com/shelbyahrendt/CEWA590_StreamGaging.git
2. Within the repository tree run the following in your terminal conda env create -f environment.yml (this may take several minutes)
3. Activate the environment: conda activate streamgaging_data

Run Demo

1. Open JupyterLab: jupyter lab (your streamgaging_data environment must be activated)
2. Select demo_scraping_NWIS_data.ipynb from the file tree to open

Resources for Creating Rating Curves

• Least-Squares
• Lowess fitting: in python, in Matlab
• Rating Curve Development using Bayseian Statistics (BaRatin Method)