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| Titel |
Bayesian networks for environmental flow decision-making and an application in the Yellow River estuary, China |
| VerfasserIn |
A. P. Pang, T. Sun |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 5 ; Nr. 18, no. 5 (2014-05-08), S.1641-1651 |
| Datensatznummer |
250120348
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| Publikation (Nr.) |
 copernicus.org/hess-18-1641-2014.pdf |
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| Zusammenfassung |
| We proposed an approach for environmental flow decision-making based on Bayesian networks considering seasonal water use conflicts
between agriculture and ecosystems. Three steps were included in the
approach: water shortage assessment after environmental flow allocation
using a production-loss model considering temporal variations of river
flows; trade-off analysis of water use outcomes by Bayesian networks; and
environmental flow decision-making based on a risk assessment under
different management strategies. An agricultural water shortage model and a
production-loss model were integrated after satisfying environmental flows
with temporal variability. The case study in the Yellow River estuary
indicated that the average difference of acceptable economic loss for winter
wheat irrigation stakeholders was 10% between water saving measures and
water diversion projects. The combination of water diversion projects and
water-saving measures would allow 4.1% more river inflow to be allocated
to ecological needs in normal years without further economic losses in agriculture. |
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