Nandita B Basu
University of Waterloo | Professor
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ABSTRACT:
This repository contains stream water quality data (dissolved inorganic nitrogen, total nitrogen, soluble reactive phosphorus and total phosphorus), and corresponding streamflow data across 202 monitored gages in the Great Lakes Basin (GLB). The water quality dataset includes both raw data (~10 - 12 data points a year), and daily concentration and load data estimated using the Weighted Regression against Time, Discharge and Seasons (WRTDS) over a 16-year timeframe (2000 - 2016). The dataset also includes results from a random forest (RF) model that predicts seasonal and annual concentrations and loads, as well as nutrient ratios, in monitored and un-monitored watersheds in across the entire transboundary river basin. Specifically, the repository includes:
1) Measured concentration and flow data for 202 gages in the GLB from 2000 - 2016
2) Modelled (using WRTDS) daily concentration data for the 202 gages from 2000 - 2016
3) RF Predicted seasonal and annual concentration and loads across the entire basin
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Created: July 29, 2021, 7:10 p.m.
Authors: Basu, Nandita B. · John Dony · Van Meter, Kimberly · Johnston, Samuel J. · Layton, Anita
ABSTRACT:
This repository contains stream water quality data (dissolved inorganic nitrogen, total nitrogen, soluble reactive phosphorus and total phosphorus), and corresponding streamflow data across 202 monitored gages in the Great Lakes Basin (GLB). The water quality dataset includes both raw data (~10 - 12 data points a year), and daily concentration and load data estimated using the Weighted Regression against Time, Discharge and Seasons (WRTDS) over a 16-year timeframe (2000 - 2016). The dataset also includes results from a random forest (RF) model that predicts seasonal and annual concentrations and loads, as well as nutrient ratios, in monitored and un-monitored watersheds in across the entire transboundary river basin. Specifically, the repository includes:
1) Measured concentration and flow data for 202 gages in the GLB from 2000 - 2016
2) Modelled (using WRTDS) daily concentration data for the 202 gages from 2000 - 2016
3) RF Predicted seasonal and annual concentration and loads across the entire basin