 |
| Titel |
Global spatial optimization with hydrological systems simulation: application to land-use allocation and peak runoff minimization |
| VerfasserIn |
I.-Y. Yeo, J.-M. Guldmann |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 14, no. 2 ; Nr. 14, no. 2 (2010-02-18), S.325-338 |
| Datensatznummer |
250012186
|
| Publikation (Nr.) |
copernicus.org/hess-14-325-2010.pdf |
|
|
|
|
|
| Zusammenfassung |
| A general methodology is presented to integrate complex simulation models of
hydrological systems into optimization models, as an alternative to
scenario-based approaches. A gradient-based hill climbing algorithm is
proposed to reach locally optimal solutions from distinct starting points.
The gradient of the objective function is estimated numerically with the
simulation model. A statistical procedure based on the Weibull distribution
is used to build a confidence interval for the global optimum. The
methodology is illustrated by an application to a small watershed in Ohio,
where the decision variables are related to land-use allocations and the
objective is to minimize peak runoff. The results suggest that this specific
runoff function is convex in terms of the land-use variables, and that the
global optimum has been reached. Modeling extensions and areas for further
research are discussed. |
| |
|
| Teil von |
|
|
|
|
|
|
|