Accompanying the increased use of water resources is an increases accumulation of chemical pollutants. Te prevent degradation of the water resources beyong useful limits, pollution inputs from additional uses must be quite accurately predicted prior to implementation of the new use. The model described in this report was formulated to provide the required predictive capability for the Bear River Basin. Modeling concepts of the hydrologic system are based upon the development of basin relationships describing the hydrologic processes which are linked together by the countinuity-of-mass principle. The salinity flow system is then linked to the hydrologic system based on the assumtion that the various hydrolgoci processes change the chemical concentration in the system by storing, concentrating, diluting, and/or picking up additional salts. These processes are identified specifically for irrigated soils and for small storage reservoirs. The amount of storage dilution, concentration or additional pickup is specified during verification of the model. The system response is then used to predict future responses resulting from additional water resource uses. In this study the model was sythesized on the hybrid computer and applied to the Cache Valley subbasin of the Bear River basin. The ability of the model to predict increased salt concentrations is demonstrated. A method for estimating and filling data gaps is also briefly discussed.
Hill, Robert W.; Israelsen, Eugene K.; and Riley, J. Paul, "Computer Simulation of the Hydrologic and Salinity Flow Systems Within the Bear River Basin" (1973). Reports. Paper 415.