Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/E998AB7C-781E-45F9-AC55-40CA08D899CE | - |
| Αναγνωριστικό | 10.1007/s10661-012-2527-y | - |
| Αναγνωριστικό | https://link.springer.com/article/10.1007/s10661-012-2527-y | - |
| Γλώσσα | en | - |
| Μέγεθος | 19 pages | en |
| Τίτλος | Comparison of stochastic and deterministic methods for mapping groundwater level spatial variability in sparsely monitored basins | en |
| Δημιουργός | Varouchakis Emmanouil | en |
| Δημιουργός | Βαρουχακης Εμμανουηλ | el |
| Δημιουργός | Christopoulos Dionysios | en |
| Δημιουργός | Χριστοπουλος Διονυσιος | el |
| Εκδότης | Springer Verlag | en |
| Περιγραφή | Δημοσίευση σε επιστημονικό περιοδικό | el |
| Περίληψη | In sparsely monitored basins, accurate mapping of the spatial variability of groundwater level requires the interpolation of scattered data. This paper presents a comparison of deterministic interpolation methods, i.e. inverse distance weight (IDW) and minimum curvature (MC), with stochastic methods, i.e. ordinary kriging (OK), universal kriging (UK) and kriging with Delaunay triangulation (DK). The study area is the Mires Basin of Mesara Valley in Crete (Greece). This sparsely sampled basin has limited groundwater resources which are vital for the island's economy; spatial variations of the groundwater level are important for developing management and monitoring strategies. We evaluate the performance of the interpolation methods with respect to different statistical measures. The Spartan variogram family is applied for the first time to hydrological data and is shown to be optimal with respect to stochastic interpolation of this dataset. The three stochastic methods (OK, DK and UK) perform overall better than the deterministic counterparts (IDW and MC). DK, which is herein for the first time applied to hydrological data, yields the most accurate cross-validation estimate for the lowest value in the dataset. OK and UK lead to smooth isolevel contours, whilst DK and IDW generate more edges. The stochastic methods deliver estimates of prediction uncertainty which becomes highest near the southeastern border of the basin. | 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 | 2015-11-06 | - |
| Ημερομηνία Δημοσίευσης | 2012 | - |
| Θεματική Κατηγορία | Biomonitoring (Ecology) | en |
| Θεματική Κατηγορία | Ecological monitoring | en |
| Θεματική Κατηγορία | Environmental quality--Measurement | en |
| Θεματική Κατηγορία | Environmental quality--Monitoring | en |
| Θεματική Κατηγορία | Monitoring, Environmental | en |
| Θεματική Κατηγορία | environmental monitoring | en |
| Θεματική Κατηγορία | biomonitoring ecology | en |
| Θεματική Κατηγορία | ecological monitoring | en |
| Θεματική Κατηγορία | environmental quality measurement | en |
| Θεματική Κατηγορία | environmental quality monitoring | en |
| Θεματική Κατηγορία | monitoring environmental | en |
| Θεματική Κατηγορία | Groundwater--Ecology | en |
| Θεματική Κατηγορία | groundwater ecology | en |
| Βιβλιογραφική Αναφορά | E. A. Varouchakis and D. T. Hristopulos, "Comparison of stochastic and deterministic methods for mapping groundwater level spatial variability in sparsely monitored basins", Environmental Monitoring and Assessment, vol. 185, no 1, Feb. 2012. doi: 10.1007/s10661-012-2527-y | en |
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