In recent years, decision analysis has become an important technique in many disciplines. It provides a methodology for rational decision making allowing for uncertainties in the outcome of several possible actions to be undertaken.
| Title | Optimal decisions that reduce effects of sewer systems on receiving waters : Bayesian decision analysis as a tool for defining monitoring needs |
| Publication Type | Miscellaneous |
| Year of Publication | 2001 |
| Authors | Korving, H, Clemens, F |
| Pagination | 8 p. : 8 fig. |
| Date Published | 2001-10-01 |
| Publisher | Delft University of Technology, Department of Environmental Engineering |
| Place Published | Delft, The Netherlands |
| Keywords | bayesian networks, monitoring, sdisan, sdiurb, sewers, uebw, urban areas |
| Abstract |
In recent years, decision analysis has become an important technique in many disciplines. It provides a methodology for rational decision making allowing for uncertainties in the outcome of several possible actions to be undertaken. An example in urban drainage is the situation in which an engineer has to decide upon a major reconstruction of a system in order to prevent pollution of receiving waters due to CSOs. This paper describes the possibilities of Bayesian decision making in urban drainage. In particular, the utility of monitoring prior to deciding on the reconstruction of a sewer system to reduce CSO emissions is studied. Our concern is with deciding whether a price should be paid for new information and which source of information is the best choice given the expected uncertainties in |
| Notes | 8 ref. |
