/BVR_Drawdown

Analyzing the effects of a 2022 drawdown on water quality in Beaverdam Reservoir

Primary LanguageRMIT LicenseMIT

BVR_Drawdown

Summary

Analyzing the effects of a 2022 drawdown on water quality in Beaverdam Reservoir

Graphical abstract for BVR drawdown

Keywords

Carbon dioxide, drawdown, dissolved oxygen, high-frequency sensors, nitrogen, phosphorus, phytoplankton, reservoir, thermal stratification, water level

Data availability

  • Data for this study published in the Environmental Data Initiative data portal. Data analysis code directly pulls from these sources:

  • Additional auxiliary data are presented in ./External data:

    • NID_YearCompleted_SurfaceArea_State.csv: National Inventory of Dams Database (available here). These data were obtained on xxxx (just in case it changes...)

Repo content information

Scripts to load data from EDI and calculate relevant summary metrics (e.g., Schmidt stability). Each code file corresponds to one data package on EDI. These code files do not produce any statistics or figures for the main manuscript, rather they output compiled data products, which are stored in Processed_data. R/install.R can be used to download all necessary packages.

  • Metals.Rmd:
    • Load and format metals data from EDI
  • Chem.Rmd
    • Load and format chemistry (N, P, DOC) data from EDI
  • GHG.Rmd
    • Load and format greenhouse gas (GHG) data from EDI
  • CTD.Rmd
    • Load and format CTD data from EDI and calculate euphotic zone depth
  • Fluoroprobe.Rmd
    • Load and format fluoroprobe data from EDI and calculate peak width and Cmax depth
  • Thermistors.Rmd
    • Load and format in-situ thermistor and meteorological data from EDI. Calculate physical metrics that will be used in Figures 2, 3, 4, and 7
  • Meteorology.Rmd
    • Load and format meteorological data

These scripts use data files in ./Processed_data (generated using the scripts in 01_Load_and_process_data) to produce figures and statistics for the manuscript. R/install.R can be used to download all necessary packages.

Downloaded data (unmodified from original source)

Compiled datasets, created by the scripts in 01_Load_and_process_data

Helper functions referenced by data analysis code