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The WEPP watershed model. III. Comparisons to measured data from small watersheds


, : The WEPP watershed model. III. Comparisons to measured data from small watersheds. Transactions of the ASAE 40(4): 945-952

The Water Erosion Prediction Project (WEPP) watershed scale model was developed by the USDA for purposes of erosion assessment and conservation planning. The purpose of this study was to evaluate the WEPP watershed model applicability and prediction accuracy for small watersheds (0.34-5.14 ha) under different climate, topography, soil, and management regimes. No calibration was conducted to obtain the results. Only default model parameters were used Data from 15 watersheds in six U.S. locations were compared to runoff and sediment yield estimates using WEPP95. The r2 values between measured and predicted total runoff and sediment yield for the 15 watersheds were 0.86 and 0.91, respectively. The r2 between measured and predicted event data for individual watersheds ranged from 0.01 to 0.85 for runoff and from 0.02 to 0.90 for sediment. Cumulative frequency distributions for predicted values of event runoff and sediment matched those for measured values with some exceptions. Improvements in the WEPP model are suggested where limitations were observed.

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Other references

Summers D.K.; Sherratt D.J., 1984: Multimerization of high copy number plasmids causes instability col e 1 encodes a determinant essential for plasmid monomerization and stability. Although the natural multicopy plasmid ColE1 is maintained stably under most growth conditions, plasmid cloning vectors related to it are relatively unstable, being lost at frequencies of 10-2-10-5/cell/generation. Evidently ColE1 and related plas...

Pandit, AK., 1989: Feeding ecology of wild ducks and geese overwintering in wetlands of Kashmir Himaloya. Indian Journal of Ecology, 162: 199-202

Burton, E.D.; Hawker, D.W.; Redding, M.R., 2003: Estimating sludge loadings to land based on trace metal sorption in soil: effect of dissolved organo-metallic complexes. This paper describes the results of research examining the effect of dissolved organo-metallic complexes of copper (Cu) and zinc (Zn) from sewage sludge leachate on sorption by a humic-gley soil A-horizon, and the influence of such complexes on re...

Hosey, C.M.; Chan, R.; Benet, L.Z., 2016: BDDCS Predictions, Self-Correcting Aspects of BDDCS Assignments, BDDCS Assignment Corrections, and Classification for more than 175 Additional Drugs. The biopharmaceutics drug disposition classification system was developed in 2005 by Wu and Benet as a tool to predict metabolizing enzyme and drug transporter effects on drug disposition. The system was modified from the biopharmaceutics classifi...

Jacobs, K.B.; Elston, R.C., 2000: Adjusting for the non-independence of pairs in the conditional logistic model for affected-relative-pair linkage. Genetic Epidemiology 19(3): 254, October

Yuan, J.H.; Anderson, B.M., 1972: Bull semen nad nucleosidase part 3 properties of the substrate binding site. Journal of Biological Chemistry 247(2): 515-520

Korneva M.S., 1970: Dynamics of sodium and potassium metabolism in hypertensive disease. Terapevticheskii Arkhiv 42(7): 13-16

Ehmann, D.E.; Lahiri, S.D., 2015: Novel compounds targeting bacterial DNA topoisomerase/DNA gyrase. Among the targets for the development of new antibacterial agents, bacterial topoisomerases remain a vibrant area of discovery. A structurally diverse set of inhibitors that bind to the adenosine 5'-triphosphate (ATP) site of type II topoisom...

Wright J.W.; Morseth S.L.; Sullivan M.J.; Harding J.W., 1984: Comparison of angiotensin ii and angiotensin iii induced dipsogenicity and pressor action. Society for Neuroscience Abstracts 10(2): 1011

Lidgren, L., 1973: Orthopaedic infections in patients with rheumatoid arthritis. Scandinavian Journal of Rheumatology 2(2): 92-96