Catchments and Variables Used for Random Forest Classification and Regression Groundwater and Surface Water Models for Nitrate Violation classes, Violation concentrations, or Percent of Systems in Violation for Public Drinking Water Supplies

Description

* This research used public drinking water nitrate violations data from across the conterminous United States as response variables, and various predictor variables from EPA's StreamCat dataset and other various land use, climate, and N input datasources. * All predictor and response variables were summarized for each catchment. * Response variables were either a binary variable (in violation or not or a 1 or 0), mean violation concentration (mg/L) per catchment, or percent of public water systems in violation per catchment. This dataset is associated with the following publication: Pennino, M., S. Leibowitz, J. Compton, R. Hill, and R. Sabo. Patterns and predictions of drinking water nitrate violations across the conterminous United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 722: 137661, (2020).

Resources

Name Format Description Link
53 RF_Catchments_Viol_Perc_All_Variables_GW.csv https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Viol_Perc_All_Variables_GW.csv
53 RF_Catchments_Viol_Freq_All_Variables_GW.csv https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Viol_Freq_All_Variables_GW.csv
53 Metadata_Pennino_NO3_Model_2019.xlsx https://pasteur.epa.gov/uploads/10.23719/1503834/Metadata_Pennino_NO3_Model_2019.xlsx
57 RFR_SW_Predictions.zip https://pasteur.epa.gov/uploads/10.23719/1503834/RFR_SW_Predictions.zip
57 RFC_GW_Predictions.zip https://pasteur.epa.gov/uploads/10.23719/1503834/RFC_GW_Predictions.zip
57 Observed_Violations.zip https://pasteur.epa.gov/uploads/10.23719/1503834/Observed_Violations.zip
57 RFC_SW_Predictions.zip https://pasteur.epa.gov/uploads/10.23719/1503834/RFC_SW_Predictions.zip
53 RF_Catchments_Conc_All_Variables_SW.csv https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Conc_All_Variables_SW.csv
53 RF_Catchments_Viol_Perc_All_Variables_SW.csv https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Viol_Perc_All_Variables_SW.csv
57 RFR_GW_Predictions.zip https://pasteur.epa.gov/uploads/10.23719/1503834/RFR_GW_Predictions.zip
53 RF_Catchments_Conc_All_Variables_GW.csv https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Conc_All_Variables_GW.csv
53 RF_Catchments_Viol_Freq_All_Variables_SW.csv https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Viol_Freq_All_Variables_SW.csv

Tags

  • groundwater
  • surface-water
  • drinking-water
  • nitrate
  • random-forest
  • contiguous-united-states
  • machine-learning

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