Contamination warning systems (CWS) have been proposed as a promising approach for
detecting contaminants in drinking water systems early enough to allow for the effective
reduction of public health or economic impacts. Modeling and optimization tools have been
developed to support the design of utility-specific CWS. However, CWS design is not a simple
application of optimization tools, but instead requires a series of significant decisions about its
nature, purpose, and use. In this paper, the authors present a decision framework that utilizes
models to determine sensor placement. The framework allows for the development of multiple
possible sensor designs which can be compared and evaluated against a standard set of criteria.
The framework is applied as an example to a water distribution system. Includes 18 references, tables, figures.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 140 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 20 |
| Published : | 09/01/2006 |
