The effects of intensive agricultural land-use practices on small streams in northwestern Iowa

Kopaska, Jeffery Allen

doi:10.31274/rtd-180813-7468

Cited by 1 publication

(1 citation statement)

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“…In addition, stage-discharge and stagearea (lake) tables were necessary for the lake package in the model. A stage-discharge table was created using stage data from the USGS stage recorder on the lake and infrequently measured discharge data from Clear Creek (Kopaska 2002). A stage-area table was created for lake stages between 373.68 and 373.99 m using bathymetric maps (Downing et al 2001b).…”

Section: Ae Modelmentioning

confidence: 99%

A Multiscale Investigation of Ground Water Flow at Clear Lake, Iowa

Simpkins

2005

Groundwater

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Ground water flow was investigated at Clear Lake, a 1468-ha glacial lake in north-central Iowa, as part of a comprehensive water quality study. A multiscale approach, consisting of seepage meters (and a potentiomanometer), Darcy's law, and an analytic element (AE) model, was used to estimate ground water inflow to and outflow from the lake. Estimates from the three methods disagreed. Seepage meters recorded a median-specific discharge of 0.25 mum/s, which produced a lake inflow rate between 90,750 and 138,200 m3/d, but no detectable outflow. A wave-induced Bernoulli effect probably compromised both inflow and outflow measurements. Darcy's law was applied to 11 zones around the lake, producing inflow and outflow values of 10,500 and 5000 m3/d, respectively. The AE model, GFLOW, coupled with the parameter estimation model, UCODE, simulated ground water flow in a 700-km2 region using 31 hydraulic head and base flow measurements as calibration targets. The model produced ground water inflow and outflow rates of 14,300 and 9200 m3/d, respectively. Although not a substitute for field data, the model's ability to simulate ground water flow to the lake and the region, estimate uncertainty for model parameters, and calculate a lake stage and associated lake water balance makes it a powerful tool for water quality management and an attractive alternative to the traditional methods of ground water/lake investigation.

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Section: Ae Modelmentioning

confidence: 99%