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Web-based data analytics framework for well forecasting and groundwater quality.

Muhammed Sit1, Richard J Langel2, Darrin Thompson3

  • 1IIHR Hydroscience and Engineering, University of Iowa, United States; Interdisciplinary Graduate Program in Informatics, University of Iowa, United States.

The Science of the Total Environment
|December 28, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a web application for rapid groundwater well forecasting in Iowa. It uses historical data to predict aquifer depth and water quality, aiding homeowners and drillers.

Keywords:
Aquifer depth predictionGroundwater wellsWeb application

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Area of Science:

  • Hydrogeology
  • Environmental Science
  • Web Application Development

Background:

  • Groundwater is a critical drinking water source for over a third of Americans.
  • Aquifer depletion, contamination, and climate change pose significant challenges to groundwater availability.
  • Traditional well forecasting is time-consuming and labor-intensive, relying on manual analysis by professionals.

Purpose of the Study:

  • To develop and present a novel web application for efficient well forecasting.
  • To provide rapid access to groundwater depth and water quality information for Iowa residents.
  • To offer a user-friendly tool for informed decision-making in groundwater well development.

Main Methods:

  • Developed a web application utilizing client-side computing for well forecasting.
  • Employed triangulation of historical aquifer depth data from a state-level database.
  • Integrated water quality data for arsenic, nitrate, and bacteria (total coliform and fecal coliform).

Main Results:

  • The web application provides well forecasts in seconds for any location in Iowa.
  • The system integrates groundwater depth predictions with essential water quality parameters.
  • Offers a publicly accessible platform for groundwater resource evaluation.

Conclusions:

  • The developed web application significantly reduces the time and resources required for well forecasting.
  • Provides a valuable, accessible tool for homeowners, well drillers, and authorities in Iowa.
  • Enhances decision-making for groundwater well development and water quality monitoring efforts.