|
Titel |
A social-economic-engineering combined framework for decision making in water resources planning |
VerfasserIn |
E. S. Chung, K. S. Lee |
Medientyp |
Artikel
|
Sprache |
Englisch
|
ISSN |
1027-5606
|
Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 13, no. 5 ; Nr. 13, no. 5 (2009-05-27), S.675-686 |
Datensatznummer |
250011866
|
Publikation (Nr.) |
copernicus.org/hess-13-675-2009.pdf |
|
|
|
Zusammenfassung |
This study develops a social-economic-engineering combined framework for
decision making in water resources planning. This framework consists of four
parts which are to spatially identify the grades on hydrological
vulnerability (potential streamflow depletion and potential water quality
deterioration), to evaluate the monetary values of improvements on
hydrological vulnerability grades using the choice experiment method, to
derive an alternative evaluation index (AEI) to quantify the effectiveness
of all alternatives, and to combine the derived willingness-to-pays (WTPs)
with the AEI and do the cost-benefit analysis of feasible alternatives. This
framework includes the stakeholder participation in order to quantify the
preferences with regard to management objectives (water quantity and
quality) and WTPs of alternatives. Finally, the economic values of each
alternative can be estimated by this study which combines the WTPs for
improvements on hydrologic vulnerability grades with the AEI. The proposed
procedure is applied in the Anyangcheon watershed which has been highly
urbanized for past thirty years. As a result, WTPs are $0.24~$10.08/month-household
for water quantity and $0.80~$8.60/month-household for water quality and residents of the five regions
among six have higher WTPs for water quality improvement. Finally, since
three of ten alternatives have BC>0, they can be proposed to the
decision makers. This systematic screening procedure will provide decision
makers with the flexibility to obtain stakeholders' consensus for water
resources planning. |
|
|
Teil von |
|
|
|
|
|
|