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H.H. Chen

Publications and source records attributed to H.H. Chen.

2 recordsLinked to original sources

Simulation of ground-water flow in the High Plains aquifer, southern sandhills area, west-central Nebraska

A generalized ground-water flow model was prepared for the High Plains aquifer in the southern sandhills area of west-central Nebraska. A grid of 4- by 4-mile nodes was established over the study area. Steady-state water levels were simulated using a distribution of recharge from a soil-moisture budget model and from estimates of hydraulic conductivity obtained from logs of test holes in the area. The final calibrated simulation used hydraulic- conductivity values that were 122 percent, and recharge rates that were 89 percent of the original values used in the model. Sixty-seven percent of the simulated recharge to the High Plains aquifer discharges to rivers, streams, and lakes. Discharges through ground-water evapotranspiration and from pumping wells account for 20 percent, with the wells accounting for less than 10 percent of the total discharge, and subsurface boundary outflow accounts for 13 percent. Twenty years of simulated pumping, assuming one additional well would be added to each township annually for 10 years, and two wells per township would be added each year for the succeeding 10 years, produced a maximum simulated drawdown of less than 10 feet when a uniform specific yield of 16 percent for the aquifer in the study area was assumed.

Open-File Report↗

Relations of nonpoint-source nitrate and atrazine concentrations in the High Plains aquifer to selected explanatory variables in six Nebraska study areas

Statistical techniques were used to relate nonpoint-source ground-water contamination by nitrate and atrazine to a variety of explanatory variables for six study areas in Nebraska. Water samples were collected from 268 wells in 12 counties from 1984 through 1987 and were analyzed for nitrate concentrations; water samples from 210 of the wells were analyzed for atrazine. A number of hydrochemical, climatic, hydrologic, soil, and land-use explanatory variables, which were believed to affect the contamination of ground water by agricultural chemicals, were identified and quantified for each of the 268 wells. Multiple regression methods were used to determine which explanatory variables were statistically related to ground-water concentrations of nitrate and atrazine. Regression models predicting nitrate and atrazine concentrations were produced that explained from about 50 to 68 percent of the variation in the dependent variables. Geographic- information-system methods were used to produce maps predicting nitrate and atrazine concentrations in ground water for one study area using selected regression and logistic models. The results of this study indicate that multiple regression techniques coupled with geographic information systems can be an effective means of identifying areas of potential ground-water contamination by nitrate and atrazine.

Water-Resources Investigations Report↗