Postprint version. Published in Journal of Hydroinformatics,
Volume 4, Issue 2, January 1, 2002, pages 83-97. ©2002 IWA
Publishing. The definitive peer-reviewed and edited version of
this article is published in Journal of Hydroinformatics, 4(2):
83-97. The original is available at
http://www.iwapublishing.com. NOTE: At the time of publication,
the author Misgana K. Muleta was not yet affiliated with Cal
Poly. The comprehensive and systematic management of watersheds
is essential for reducing the adverse environmental impacts
arising from anthropogenically caused erosion and subsequent
sedimentation. This paper describes a computational methodology
that is designed to serve as a watershed decision support system
and is capable of controlling environmental impacts of non-point
source pollution resulting from erosion. In the decision
process, the methodology also accounts for other inseparable
objectives such as economics and social dynamics of the
watershed. This decision support tool was developed by integrat