Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Nat. Hazards Earth Syst. Sci., 14, 413-426, 2014
https://doi.org/10.5194/nhess-14-413-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
26 Feb 2014
GIS and remote sensing techniques for the assessment of land use change impact on flood hydrology: the case study of Yialias basin in Cyprus
D. D. Alexakis1, M. G. Grillakis2, A. G. Koutroulis2, A. Agapiou1, K. Themistocleous1, I. K. Tsanis2,6, S. Michaelides3, S. Pashiardis3, C. Demetriou4, K. Aristeidou4, A. Retalis5, F. Tymvios3, and D. G. Hadjimitsis1 1Cyprus University of Technology, Department of Civil Engineering and Geomatics, Remote Sensing and Geo-Environment Lab, Limassol, Cyprus
2Technical University of Crete, Department of Environmental Engineering, Chania, Crete, Greece
3Cyprus Meteorological Department, Nicosia, Cyprus
4Water Development Department, Nicosia, Cyprus
5National Observatory of Athens, Athens, Greece
6McMaster University, Department of Civil Engineering, Hamilton, Ontario, Canada
Abstract. 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.

Citation: Alexakis, D. D., Grillakis, M. G., Koutroulis, A. G., Agapiou, A., Themistocleous, K., Tsanis, I. K., Michaelides, S., Pashiardis, S., Demetriou, C., Aristeidou, K., Retalis, A., Tymvios, F., and Hadjimitsis, D. G.: GIS and remote sensing techniques for the assessment of land use change impact on flood hydrology: the case study of Yialias basin in Cyprus, Nat. Hazards Earth Syst. Sci., 14, 413-426, https://doi.org/10.5194/nhess-14-413-2014, 2014.
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