Browse on keywords: erosion WA computer model
Search results on 01/23/19
765. Benson, V., W. Goldstein, D. Young, J. Williams, and C. Jones. 1988. Impacts of cropping practices on nitrogen use and movement.. Proc. Intl. Conf. on Dryland Farming.
Conventional and PALS practices were used as inputs for the EPIC model to simulate the effects of the systems over 108 years on an Athena soil. Total erosion over 108 yr under PALS was 40% less than the conventional system. Nitrogen loss through water was 25% less under PALS than conventional. Percolation loss of N was zero for both systems. Neither system had significant increase or decrease in yields after 108 yr of erosion.
5751. Redinger, G.J., G.S. Campbell, K.E. Saxton, and R.I. Papendick. 1984. Infiltration rate of slot mulches: measurement and numerical simulation.. Soil Sci. Soc. Am. J. 48:982-986.
6047. Sauchyn, D.J.. 1989. Evaluation and mapping of non-point source pollution with ARC/INF. Dept. of Geography, U. of Regina, Saskatchewan, Canada.
This paper demonstrates the combined use of a runoff / erosion / pollution model and a geographic information system to evaluate and map the hydrologic and geomorphic responses of a small watershed to a single rainstorm. T: Many.
7693. Yan, Ying. 1989. A model for predicting soil loss ratio and crop production in eastern Washington. M.S. Thesis, Dept. of Agronomy and Soils, WSU, Pullman, WA.
The model (SHUI) predicts soil erosion and crop production under different crop rotation, tillage operation, and crop residue management conditions. It simulates the soil-water budget, crop and root growth, top dry matter production, grain yield, and residue production and loss, and predicts the soil loss ratio. Validation data are included.