The reauthorization of the Clean Water Act reemphasizes the need for r
egional scale monitoring and management of nonpoint pollution loads. T
he magnitude of the task will require that local governments and their
consultants integrate information systems and modeling if they are to
manage the massive data sets and conduct the array of simulations tha
t will be needed to support the decision making processes. Interfacing
geographic information systems (GIS) and nonpoint pollution modeling
is a logical approach. The objective of the present study was to use t
he 37,000-acre area defined by the Kensington Quadrangle sheet in Mont
gomery County, Maryland, to show that GIS-supported nonpoint pollution
modeling is practical and economically attractive. The purpose of the
GIS is to estimate the spatial distribution of nonpoint nitrogen, pho
sphorous, zinc, lead, BOD, and sediment using a model developed by the
Northern Virginia Planning District Commission. The system allows the
user to change land. uses in subareas to simulate the consequences of
additional development or alternate management strategies. The tests
show that in-house development of this type of special purpose GIS is
a practical alternative to vendor supplied systems and that the requir
ed databases can be developed quite reasonably.