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Related Experiment Video

Updated: May 13, 2026

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

Detecting drawdowns masked by environmental stresses with water-level models.

C A Garcia¹, K J Halford, J M Fenelon

¹US Geological Survey, 2730 N Deer Run Rd, Carson City, NV 89701, USA.

|March 9, 2013

Summary

This summary is machine-generated.

This study presents an analytical method to accurately detect small aquifer drawdowns, even amidst environmental noise. The approach effectively distinguishes pumping effects from natural water level changes for better aquifer characterization.

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Last Updated: May 13, 2026

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

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Published on: November 13, 2017

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

Hydrogeology
Environmental Science

Background:

Aquifer characterization is crucial for water resource management.
Small drawdowns at distant observation wells provide valuable data but are often masked by environmental factors like barometric pressure and tidal forces.

Purpose of the Study:

To develop and validate a reliable analytical approach for distinguishing pumping-induced aquifer drawdown from natural water level fluctuations.
To enhance the characterization of aquifer volumes by enabling the detection of subtle drawdown signals.

Main Methods:

Simultaneously simulating all pumping and nonpumping water level stresses using analytical models.
Employing Theis models to generate pumping signals based on pumping schedules and the Theis solution.
Comparing analytical simulations with results from complex three-dimensional numerical models and field aquifer tests.

Main Results:

The analytical approach accurately simulated drawdowns, closely matching complex numerical model outputs (RMS as low as 0.007 m) over distances exceeding 1 km.
The method successfully estimated small drawdowns (approx. 0.05 m) in field tests despite significant environmental fluctuations (up to 0.2 m).

Conclusions:

The presented analytical method reliably distinguishes true aquifer drawdown from environmental water level variations.
This technique significantly improves the ability to characterize aquifer systems by enabling the detection of small, distant drawdown signals.