Frequency analysis on extreme hydrological and meteorological events under the effect of climate change is performed in the island of Crete. Data from Regional Climate Model simulations (RCMs) that follow three Representative Concentration Pathways (RCP2.6, RCP4.5, RCP8.5) are used in the analysis. The analysis was performed for the 1985–2100 time period, divided into three equal-duration time slices (1985–2010, 2025–2050, and 2075–2100). Comparison between the results from the three time slices for the different RCMs under different RCP scenarios indicate that drought events are expected to increase in the future. The meteorological and hydrological drought indices, relative Standardized Precipitation Index (SPI) and Standardized Runoff index (SRI), are used to identify the number of drought events for each RCM. Results from extreme precipitation, extreme flow, meteorological and hydrological drought frequency analysis over Crete show that the impact of climate change on the magnitude of 100 years return period extreme events will also increase, along with the magnitude of extreme precipitation and flow events.
The objective of the work performed in this paper was to implement flood risk assessment on the Stalos stream area, west of the city of Chania, Crete, Greece, utilizing two separate methods complementing each other. The first stage was a GIS-based approach, utilizing the ArcGIS software, by determining the crucial factors affecting flood risk, and subsequently scoring and combining the factors into a final raster, with each factor appropriately scored. The second stage involved the flow modeling of a stream located in the study area of Stalos, upon which a meteorological station was installed upstream, in addition to a radar flow meter downstream, at the stream's output to the sea. For the purposes of modeling, the MIKE HYDRO River software pack was utilized, in addition to the ArcGIS software for digitizing cross sections and editing the Digital Elevation Model of the area. From this methodology, the flood risk of the area was determined, and additionally, the low overflow risk of the stream was determined, as there was no point across the stream, where the water level in the stream reached dangerous levels, despite sustained heavy precipitation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.