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<br /> <br />pickup of salts within the channel <br />as flows rise and fall. <br /> <br />w <br />w <br />w <br /><::> <br /> <br />These issues represent some of the more <br />important which must be reviewed in assessing <br />the state-of-the-art of hydrosalinity mod- <br />eling before applying it to evaluate any <br />specific management strategy. <br /> <br />Purpose <br /> <br />The hydrosalinity models available in <br />the literature vary in the degree of complex- <br />ity used to represent the chemical reactions <br />that occur within the soil-water system. <br />Some models such as those descrihed by Dutt <br />et a1. (1972) are detailed dynamic models <br />which attempt to portray many complex <br />phenomena that occur within the soil-water <br />system including nitrogen transformations. <br />At the other extreme of soil-water-salinity <br />modeling are the steady state TDS models <br />based on the conservation of mass principle <br />formulated by many rese'archers including <br />Terkeltoub and Bahcock (1971). <br /> <br />The complex hydrosalinity models need an <br />enormous amount of data, much of which is <br />usually not available in the real world, and <br />large amounts of computer time. The simple <br />models, based on steady-state conditions, <br />require less data but provide less detail. <br />For a particular application, a model must be <br />chosen from an appropriate point within this <br />range. The key issues in the selection are: <br /> <br />1) The reliability, in terms of the de- <br />sired use, of the simpler steady- <br />state models. <br /> <br />2) The additional reliability achieved <br />for the desired use with the <br />complex hydrosalinity models. <br /> <br />3) The possibilities for upgrading a <br />relatively simple hydrosalinity <br />model to predict the impact of <br />management practices on the salin- <br />ity of return flows without having <br />to collect dat~ for the other <br /> <br />features <br />models. <br />capable of <br />data. <br /> <br />of the more complex <br />This model should be <br />utilizing minimum field <br /> <br />The purpose of this research was to <br />assess the state-of-the-art of hydrosalinity <br />modeling in representing the salt pickup <br />process within the soil-groundwater system. <br />The assessment is geared to developing a <br />practical management tool for predicting how <br />the salt outflow from irrigated agriculture <br />is affected by various farm water management <br />practices. <br /> <br />Scope <br /> <br />In order to achieve the purpose of the <br />study, the research was directed to the <br />following tasks. <br /> <br />1) A review of pertinent hydrosalinity <br />models, soil-water system models, <br />and groundwater models with particu- <br />lar reference to the model capabili- <br />ties in representing the various <br />processes controlling salt and water <br />flows in an irrigation water supply <br />system, assumptions in the models, <br />and modeling gaps, if any. <br /> <br />2) An inventory and analysis of field <br />data from selected irrigated areas <br />so as to have information available <br />for verifying quantitative relation- <br />ships proposed to depict salt pickup <br />mechanisms. <br /> <br />3) The development of a relatively sim- <br />ple hydrosslinity model and a demon- <br />stration application based on cali- <br />bration with field data from se- <br />lected irrigated areas. <br /> <br />4) Demonstrative application of the <br />model to examine the effects of al- <br />ternat i ve i rr igat ion water manage- <br />ment policies on return flows and <br />salt loadings. <br /> <br />2 <br />