The ability to assess through prognostication the impart of nonpoint source
(NPS) pollutant loads to groundwater, such as salt loading, is a key eleme
nt in agriculture's sustainability by mitigating deleterious environmental
impacts before they occur. The modeling of NPS pollutants in the vadose zon
e is well suited to the integration of a geographic information system (GIS
) because of the spatial nature of NPS pollutants, The GIS-linked, function
al model TETrans was evaluated for its ability to predict salt loading to g
roundwater in a 2396 ha study area of the Broadview Water District located
on the westside of central California's San Joaquin Valley, Model input dat
a were obtained from spatially-referenced measurements as opposed to previo
us NPS pollution modeling effort's reliance upon generalized information fr
om existing spatial databases (e.g., soil surveys) and transfer functions.
The simulated temporal and spatial changes in the loading of salts to drain
age waters for the study period 1991-1996 were compared to measured data, A
comparison of the predicted and measured cumulative salt loads in drainage
waters for individual drainage sumps showed acceptable agreement for manag
ement applications. An evaluation of the results indicated the practicality
and utility of applying a one-dimensional, GIS-linked model of solute tran
sport in the vadose zone to predict and visually display salt loading over
thousands of hectares. The display maps provide a visual toot for assessing
the potential impact of salinity upon groundwater, thereby providing infor
mation to make management decisions for the purpose of minimizing environme
ntal impacts without compromising future agricultural productivity.