DRAWDOWN PREDICTION MODEL BASED ON REGRESSION ANALYSIS.

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

A technique for determining algebraic technological functions (ATF) relating the drawdown at wells to the quantity of water withdrawn from those wells is developed. The technique does not rely on the development of an analog or digital groundwater model to calculate the ATF's nor does it rely on a determination of distributions of transmissivity and storage coefficient. The inputs are the time series of historical pumping and water levels, the distances between wells, the radius of the well, and the duration of a pumping period. A stepwise regression analysis is used to determine the coefficients of the ATF. The functional form of the regression equation is based on standard results from groundwater analysis.

Original languageEnglish (US)
Pages (from-to)818-822
Number of pages5
JournalWater Resources Research
Volume12
Issue number4
StatePublished - Aug 1976
Externally publishedYes

Fingerprint

drawdown
Regression analysis
Groundwater
regression analysis
well
prediction
pumping
Water levels
Time series
groundwater
water quantity
transmissivity
hydrologic models
water table
Water
time series analysis
water level
time series
duration
methodology

ASJC Scopus subject areas

  • Aquatic Science
  • Environmental Science(all)
  • Environmental Chemistry
  • Water Science and Technology

Cite this

DRAWDOWN PREDICTION MODEL BASED ON REGRESSION ANALYSIS. / Maddock, Thomas.

In: Water Resources Research, Vol. 12, No. 4, 08.1976, p. 818-822.

Research output: Contribution to journalArticle

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