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Using spatio-temporal marcov model for flood mapping: the case study ofYialias river in Cyprus

Alexakis Dimitrios, Koutroulis Aristeidis, Gryllakis Emmanouil, Agapiou Athos , Themistocleous Kyriacos , Tsanis Giannis, Hadjimitsis Diofantos G.

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URIhttp://purl.tuc.gr/dl/dias/E289E32F-6EEF-4887-BE6F-73A27B1B429F-
Αναγνωριστικόhttps://doi.org/10.1117/12.2029276-
Γλώσσαen-
ΤίτλοςUsing spatio-temporal marcov model for flood mapping: the case study of Yialias river in Cyprusen
ΔημιουργόςAlexakis Dimitriosen
ΔημιουργόςΑλεξακης Δημητριοςel
ΔημιουργόςKoutroulis Aristeidisen
ΔημιουργόςΚουτρουλης Αριστειδηςel
ΔημιουργόςGryllakis Emmanouilen
ΔημιουργόςΓρυλλακης Εμμανουηλel
ΔημιουργόςAgapiou Athos en
ΔημιουργόςThemistocleous Kyriacos en
ΔημιουργόςTsanis Giannisen
ΔημιουργόςΤσανης Γιαννηςel
ΔημιουργόςHadjimitsis Diofantos G. en
ΠερίληψηFlooding is one of the most common disasters worldwide. This paper strives to highlight the hydrological effects of multi-temporal land use changes in flood hazard. The study area is Potamia basin established in the broader Yialias catchment basin located in Nicosia -Cyprus. The certain area has suffered from several flood disasters in the recent past. Initially, the land cover regime of the study area (last 20 years) was thoroughly studied using multi-temporal satellite (ASTER) and implementing g sophisticated classification methodologies such as Object oriented analysis. Land use/ Land cover (LULC) maps for the periods of 1990, 2000 and 2010 were developed. All these maps were incorporated in the CA-Markov chain analysis model and the LULC map of 2020 was constructed. The Markov chain analysis describes the probability of land cover change from one period to another by developing a transition probability matrix between two different time periods. Following, the hydrological analysis was performed using the Hydrological Modeling System (HEC-HMS). HEC-HMS is designed to simulate the precipitation-runoff processes of dendritic watershed systems. The HEC-HMS model was set up in distributed mode, enabling the utilization of the spatial information on the land use via the Curve number coefficient. Thus, the 2020LULC map was incorporated in the hydrological model in order to predict the hydrological behavior of the catchment area for the next decade. The results were compared with the present hydrological regime and denoted the future increase of runoff due o the predicted extensive urban sprawl phenomenon. en
ΤύποςΔημοσίευση σε Συνέδριοel
ΤύποςConference Publicationen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-09-
Ημερομηνία Δημοσίευσης2013-
Θεματική ΚατηγορίαHMMs (Hidden Markov models)en
Θεματική Κατηγορίαhidden markov modelsen
Θεματική Κατηγορίαhmms hidden markov modelsen
Βιβλιογραφική ΑναφοράD.D. Alexakis, A.G. Koutroulis, M.G. Grillakis, A. Agapiou, K. Themistocleous, I.K. Tsanis and D.G. Hadjimitsis, “Using spatio-temporal Marcov model for Flood mapping: The case study of Yialias river in Cyprus”, in Remote Sensing for Agriculture, Ecosystems, and Hydrology. SPIE Remote Sensing, 23-26 September 2013.en

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