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| Titel |
GIS and remote sensing techniques for the assessment of land use change impact on flood hydrology: the case study of Yialias basin in Cyprus |
| VerfasserIn |
D. D. Alexakis, M. G. Grillakis, A. G. Koutroulis, A. Agapiou, K. Themistocleous, I. K. Tsanis, S. Michaelides, S. Pashiardis, C. Demetriou, K. Aristeidou, A. Retalis, F. Tymvios, D. G. Hadjimitsis |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 14, no. 2 ; Nr. 14, no. 2 (2014-02-26), S.413-426 |
| Datensatznummer |
250118283
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| Publikation (Nr.) |
 copernicus.org/nhess-14-413-2014.pdf |
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| Zusammenfassung |
| Floods are one of the most common natural disasters worldwide, leading to
economic losses and loss of human lives. This paper highlights the
hydrological effects of multi-temporal land use changes in flood hazard
within the Yialias catchment area, located in central Cyprus. A calibrated
hydrological model was firstly developed to describe the hydrological
processes and internal basin dynamics of the three major subbasins, in
order to study the diachronic effects of land use changes. For the
implementation of the hydrological model, land use, soil and
hydrometeorological data were incorporated. The climatic and stream flow
data were derived from rain and flow gauge stations located in the wider
area of the watershed basin. In addition, the land use and soil data were
extracted after the application of object-oriented nearest neighbor
algorithms of ASTER satellite images. Subsequently, the cellular automata
(CA)–Markov chain analysis was implemented to predict the 2020 land use/land cover (LULC) map and incorporate it to the hydrological impact
assessment. The results denoted the increase of runoff in the catchment area
due to the recorded extensive urban sprawl phenomenon of the last
decade. |
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