Median nitrate concentrations in groundwater in the New Jersey Highlands Region estimated using regression models and land-surface characteristics
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- More information: USGS Index Page
- Document: Report (16.2 MB pdf)
- Appendixes:
- Appendix 1 (17.2 MB xlsx) Example spreadsheet for calculating median nitrate concentrations with logistic-regression models
- Appendix 2 (180 KB pdf) Geographic and environmental characteristics evaluated as possible explanatory variables in models of median nitrate concentrations in groundwater in the NJ Highlands Region
- Download citation as: RIS | Dublin Core
Abstract
Nitrate-concentration data are used in conjunction with land-use and land-cover data to estimate median nitrate concentrations in groundwater underlying the New Jersey (NJ) Highlands Region. Sources of data on nitrate in 19,670 groundwater samples are from the U.S. Geological Survey (USGS) National Water Information System (NWIS) and the NJ Private Well Testing Act (PWTA).
In a study conducted by the USGS, in cooperation with the New Jersey Department of Environmental Protection, logistic regression was used to relate measured nitrate concentrations to five explanatory variables (percent urban and agricultural land use, septic-system density, total length of streams, and number of known contaminated sites) quantified in 610-meter-square grid cells. A method for calculating the median concentrations of nitrate from a series of logistic regression models was developed. Two calibration and two validation procedures showed that the logistic-regression-based method can estimate groundwater-nitrate concentrations in the Highlands Region accurately to within 0.1 milligram per liter as nitrogen (mg/L as N). Limitations of the logistic-regression-based method include the inability to select a logistic model with exactly 0.5 probability of exceeding the threshold value and lack of an algorithm to directly calculate the median value. Quantile regression was evaluated as a suitable alternative and was slightly less accurate than the logistic-regression method in estimating median groundwater nitrate concentrations in the Highlands Region.
Multiple-linear regression with log-transformed nitrate-concentration data and the same five explanatory values was less accurate than either logistic or quantile regression in estimating median nitrate concentrations. On the basis of 4,516 2000 x 2000 foot grid cells that contain wells with data stored in NWIS and the PWTA database, the estimated median nitrate concentration for the entire Highlands Region is about 1.25 mg/L as N, and estimated median concentrations range from about 1.05 to 1.78 mg/L as N among 11 smaller administratively defined areas within the Highlands Region that vary in percentages of urban land use, agricultural land use, and septic-system density.
The Kaplan-Meier method of estimating summary statistics from left-censored data was applied in order to include nondetects (left-censored data) in median nitrate-concentration calculations. Median concentrations also were determined using three alternative methods of handling nondetects. Treatment of the 23 percent of samples that were nondetects had little effect on estimated median nitrate concentrations because method detection limits were mostly less than median values.
Study Area
Publication type | Report |
---|---|
Publication Subtype | USGS Numbered Series |
Title | Median nitrate concentrations in groundwater in the New Jersey Highlands Region estimated using regression models and land-surface characteristics |
Series title | Scientific Investigations Report |
Series number | 2015-5075 |
DOI | 10.3133/sir20155075 |
Year Published | 2015 |
Language | English |
Publisher | U.S. Geological Survey |
Publisher location | Reston, VA |
Contributing office(s) | New Jersey Water Science Center |
Description | Report: vii, 26 p.; 2 Appendices |
Country | United States |
State | New Jersey |
Other Geospatial | New Jersey Highlands |
Projection | Universal Transverse Mercator projection |
Online Only (Y/N) | Y |
Additional Online Files (Y/N) | Y |
Google Analytic Metrics | Metrics page |