Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/0532FDB2-AA11-4F69-B911-481EA7A749BD | - |
| Αναγνωριστικό | https://www.sciencedirect.com/science/article/pii/S002216941600024X?via%3Dihub | - |
| Αναγνωριστικό | https://doi.org/10.1016/j.jhydrol.2016.01.007 | - |
| Γλώσσα | en | - |
| Μέγεθος | 7 pages | en |
| Τίτλος | Application of Bayesian and cost benefit risk analysis in water resources management | en |
| Δημιουργός | Varouchakis Emmanouil | en |
| Δημιουργός | Βαρουχακης Εμμανουηλ | el |
| Δημιουργός | Palogos Ioannis | en |
| Δημιουργός | Παλογος Ιωαννης | el |
| Δημιουργός | Karatzas Georgios | en |
| Δημιουργός | Καρατζας Γεωργιος | el |
| Εκδότης | Elsevier | en |
| Περίληψη | Decision making is a significant tool in water resources management applications. This technical note approaches a decision dilemma that has not yet been considered for the water resources management of a watershed. A common cost-benefit analysis approach, which is novel in the risk analysis of hydrologic/hydraulic applications, and a Bayesian decision analysis are applied to aid the decision making on whether or not to construct a water reservoir for irrigation purposes. The alternative option examined is a scaled parabolic fine variation in terms of over-pumping violations in contrast to common practices that usually consider short-term fines. The methodological steps are analytically presented associated with originally developed code. Such an application, and in such detail, represents new feedback. The results indicate that the probability uncertainty is the driving issue that determines the optimal decision with each methodology, and depending on the unknown probability handling, each methodology may lead to a different optimal decision. Thus, the proposed tool can help decision makers to examine and compare different scenarios using two different approaches before making a decision considering the cost of a hydrologic/hydraulic project and the varied economic charges that water table limit violations can cause inside an audit interval. In contrast to practices that assess the effect of each proposed action separately considering only current knowledge of the examined issue, this tool aids decision making by considering prior information and the sampling distribution of future successful audits. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2018-10-19 | - |
| Ημερομηνία Δημοσίευσης | 2016 | - |
| Θεματική Κατηγορία | Bayes risk | en |
| Θεματική Κατηγορία | Cost benefit | en |
| Θεματική Κατηγορία | Decision making | en |
| Θεματική Κατηγορία | Groundwater | en |
| Θεματική Κατηγορία | Risk analysis | en |
| Βιβλιογραφική Αναφορά | E. A. Varouchakis, I. Palogos and G. P. Karatzas, "Application of Bayesian and cost benefit risk analysis in water resources management," J. Hydrol., vol. 534, pp. 390-396, Mar. 2016. doi: 10.1016/j.jhydrol.2016.01.007 | en |
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