Design and calibration of a nitrate decision support tool for groundwater wells in Wisconsin, USA
Links
- More information: Publisher Index Page (via DOI)
- Data Releases:
- USGS data release - GW-NDST software v 1.1.1
- USGS data release - GW-NDST software v 1.1.0
- USGS data release - GIS files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin
- USGS data release - Histogram-based gradient boosted regression tree model of mean ages of shallow well samples in the Great Lakes Basin, USA
- USGS data release - Parameter ensemble files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin
- USGS data release - Multivariate regression model for predicting oxygen reduction rates in groundwater for the State of Wisconsin
- USGS data release - Python-HBRT model and groundwater levels used for estimating the static, shallow water table depth for the State of Wisconsin
- USGS data release - Data to support a Groundwater Nitrate Decision Support Tool for Wisconsin
- Download citation as: RIS | Dublin Core
Abstract
This paper describes development of a nitrate decision support tool for groundwater wells (GW-NDST) that combines nitrate leaching and groundwater lag-times to compute well concentrations. The GW-NDST uses output from support models that simulate leached nitrate, groundwater age distributions, and nitrate reduction rates. The support models are linked through convolution to simulate nitrate transport to wells. Spatially distributed parameters were adjusted through calibration to 34,255 nitrate sample targets. Prediction uncertainty is illustrated via Monte Carlo realizations informed during calibration. Over 78% of target concentrations were within the simulated range of results from 450 realizations. An example forecasting scenario illustrates that a range of feasible outcomes exist and should be considered when interpreting forecasts for decision making. Uncertainty in forecasting is unavoidable; the intent of characterizing uncertainty in the GW-NDST is to facilitate decision making by increasing insight into the response of nitrate contamination to physical and chemical processes.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Design and calibration of a nitrate decision support tool for groundwater wells in Wisconsin, USA |
| Series title | Environmental Modeling and Software, |
| DOI | 10.1016/j.envsoft.2024.105999 |
| Volume | 176 |
| Year Published | 2024 |
| Language | English |
| Publisher | Elsevier |
| Contributing office(s) | Upper Midwest Water Science Center |
| Description | 105999, 16 p. |
| Country | United States |
| State | Wisconsin |
| Google Analytic Metrics | Metrics page |