An irrigated agricultural area of 2350 ha in the San Joaquin Valley of
California was used for assessing regional-scale vertical flow and so
lute transport. The study area was sufficiently large to show variabil
ity in salt-loading to the groundwater due to cropping and irrigation
efficiency. A geographic information system (GIS) was used to store an
d manipulate a variety of data required for vertical transport modelin
g of water flow in the field area. Measured data included crop and irr
igation schedules, daily evapotranspiration, soil type maps, and field
sampling for determination of physical properties such as the saturat
ion percentage and the gravimetric water content. A data classificatio
n scheme was developed consisting of four basic types of variables: (1
) local variables for point data; (2) spatial variables for data havin
g a constant value within a restricted domain such as an individual qu
arter-section; (3) derived variables being those selected based on a d
iscrete value of another parameter (e.g. maximum root depth depends on
the discrete variable, crop type), and (4) regional variables exhibit
ing a constant value over the entire study area. Each specific Variabl
e was classified utilizing the classification scheme and a relational
database was created for all the data. From the data included in this
database, calculations of fluid and solute transport were made at sele
cted locations by a capacity-based, one-dimensional transport model. T
he results of a calculation were incorporated into the database for fu
rther manipulation and representation. A sample calculation was run fo
r 315 locations within the field area to determine the spatial variati
on of salt-loading to the groundwater.