Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Predicting ground water nitrate concentration from land use.

Kristin K Gardner1, Richard M Vogel

  • 1Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59715, USA. gardner@montana.edu

Ground Water
|May 11, 2005
PubMed
Summary

Agricultural land use significantly increases ground water nitrate concentrations on Nantucket Island. Land managers can use these findings to predict impacts on water quality from development.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Impacts of Water Conservation Strategies on Water Use: Four Case Studies.

Journal of the American Water Resources Association·2012
Same author

Goodness of fit of probability distributions for sightings as species approach extinction.

Bulletin of mathematical biology·2009
See all related articles

Area of Science:

  • Environmental Science
  • Hydrogeology
  • Water Quality Assessment

Background:

  • Groundwater contamination is a critical environmental concern, particularly in areas with shallow water tables and permeable soils.
  • Land use practices significantly influence the chemical composition of groundwater resources.

Purpose of the Study:

  • To analyze groundwater nitrate concentrations on Nantucket Island, Massachusetts.
  • To assess the relationship between land use and groundwater quality.
  • To develop predictive models for groundwater nitrate concentrations.

Main Methods:

  • Exploratory data analysis was used to identify spatial and temporal trends in historical groundwater nitrate data.
  • Maximum likelihood Tobit and logistic regression analyses were employed to model nitrate concentrations.

Related Experiment Videos

  • Land use variables within a 1000-foot radius of 69 wells were analyzed.
  • Main Results:

    • Groundwater nitrate concentrations were significantly higher downgradient from agricultural land.
    • Septic tank density, forest, undeveloped, and high-density residential land percentages reliably predicted nitrate concentrations.
    • Forest, undeveloped, and low-density residential land percentages indicated groundwater nitrate concentrations exceeding 2 mg/L.

    Conclusions:

    • Land use, particularly agriculture and residential development, significantly impacts groundwater nitrate levels.
    • The developed predictive models offer a valuable tool for land managers to assess development impacts on water quality.
    • This study provides critical insights for managing groundwater resources in vulnerable coastal environments.