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Dive into the research topics where W. G. Knisel is active.

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Featured researches published by W. G. Knisel.


Journal of Hydrology | 1984

An approximate method for partitioning daily streamflow data

Adel Shirmohammadi; W. G. Knisel; J. M. Sheridan

An approximate method was developed for partitioning daily total streamflow volumes into storm runoff and subsurface flow components. The procedure was tested with streamflow data from ten research watersheds, 2.6–1494.43 km2 in size, in the Coastal Plain of Georgia, U.S.A. Estimated volumes obtained on these watersheds were representative of observed stormflow and subsurface flow volumes from the small upland drainage area, 0.34 ha in size. Measured subsurface flow from this upland area was ∼ 80% of the total flow for the 10-yr. period. Results indicate that the approximate method of streamflow partitioning gives reasonable estimates and may be useful where available data are limited to daily values.


Transactions of the ASABE | 1998

SIMULATION OF NITROGEN AND PHOSPHORUS LEACHING IN A STRUCTURED SOIL USING GLEAMS AND A NEW SUBMODEL, “PARTLE”

Adel Shirmohammadi; Barbro Ulén; Lars Bergström; W. G. Knisel

The potential negative impact of agricultural chemicals on the quality of surface and ground water resources is a worldwide concern. The complexity of factors affecting nonpoint source pollution makes experimental assessment of the environmental consequences of different management strategies laborious and expensive. Therefore, one feasible method is to use the existing research database to validate and modify the computer models, then use the models to simulate the long-term impact of these systems. In this study the hydrologic and nutrient loss data from a subsurface drained, structured clay soil in southwest Sweden was used to examine the applicability of GLEAMS to simulate the drainage discharge and N and P concentrations in the discharge water. The results indicated that GLEAMS was capable of simulating drainage discharge, nitrate-N and dissolved-P losses reasonably well, but there were no algorithms to simulate the particulate-P losses via drain tiles. Therefore, a submodel, “PARTLE” was developed and tested. Our results indicate that the PARTLE submodel, in association with the GLEAMS model, provided reasonable estimates of particulate-P loss via drainage in this soil. The study concluded that considering the impact of preferential flow and the ratio of annual drainage discharge to annual precipitation is necessary for proper predictions of particulate-P in structured soils.


Transactions of the ASABE | 1989

Seasonal Distribution of Rainfall Erosivity in Peninsular Florida

J. M. Sheridan; F. M. Davis; M. L. Hester; W. G. Knisel

Adequate information on the seasonal distribution of rainfall erosivity required to predict rainfall erosion losses was not available previously for peninsular Florida. In this area, the oceanic and continental climatic influence causes significant seasonal and year-to-year differences in precipitation amount and distribution. Thunderstorms may occur at any time of the year, resulting in high rainfall energy and potentially producing considerable soil detachment by raindrop impact in the absence of adequate plant cover. Daily precipitation data from selected locations in Florida were analyzed to determine seasonal variation in the rainfall erosion index (EI). Long-term seasonal rainfall EI distributions were used to delineate EI-distribution regions, thereby extending applicability of the Universal Soil Loss Equation for erosion modeling in peninsular Florida. Design values for annual total and maximum 1-day EI, and a revised map of average annual rainfall erosivity are presented, also.


winter simulation conference | 1992

Simulating processes in nonpoint source pollution

W. G. Knisel; Ralph A. Leonard; Frank M. Davis

The paper describes development of a mathematical model to evaluate nonpoint pollution from diffuse agricultural and forestry sources. Although the model includes numerous physical and chemical processes, a generalized flow chart is used to present the entire system along with more detailed components. The nitrogen cycling and pesticide elements of the chemistry components are presented. The interactions of complex processes are described relative to climate, soil, and agricultural management practices.


International Symposium on Erosion and Landscape Evolution (ISELE), 18-21 September 2011, Anchorage, Alaska | 2011

Coastal Plain Landscape Feature Evolved From Historic Erosion and Deposition

Loris C Asmussen; W. G. Knisel; Loris E Asmussen

Historical erosion from agricultural fields with subsequent deposition in riparian systems has resulted in a pronounced landscape feature in the upper Coastal Plain physiographic area. Erosion of soil particles and aggregates on cropland with downslope transport by runoff water has resulted in deposition of larger and heavier material that entered riparian areas. This forms terrace-like deposits at the lower edges of fields (Figure a). Continued deposition year-after-year further results in flow restrictions that have to be removed to prevent encroachment into the field. Roadways and/or turn rows are common on these deposits, which require periodic grading or removal.


Journal of Soil and Water Conservation | 1991

Water balance components in the Georgia Coastal Plain: A GLEAMS model validation and simulation

W. G. Knisel; Ralph A. Leonard; F. M. Davis; J. M. Sheridan


Weed Technology | 1988

Evaluating Groundwater Contamination Potential from herbicide use

Ralph A. Leonard; W. G. Knisel


Journal of The American Water Resources Association | 1987

REGIONAL APPLICATION OF AN APPROXIMATE STREAMFLOW PARTITIONING METHOD1

Adel Shirmohammadi; J. M. Sheridan; W. G. Knisel


Journal of Irrigation and Drainage Engineering-asce | 1990

Validating GLEAMS with field data for fenamiphos and its metabolites.

R. A. Leonard; W. G. Knisel; F. M. Davis; A. W. Johnson


Weed Technology | 1992

Pesticide Runoff Simulations: Long-Term Annual Means vs. Event Extremes?

Ralph A. Leonard; Clint C. Truman; W. G. Knisel; Frank M. Davis

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J. M. Sheridan

United States Department of Agriculture

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Lars Bergström

Swedish University of Agricultural Sciences

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C. C. Truman

Agricultural Research Service

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Loris E. Asmussen

United States Department of Agriculture

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P. Yates

United States Department of Agriculture

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Barbro Ulén

Swedish University of Agricultural Sciences

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