TY - JOUR A1 - Koç, Gamze A1 - Petrow, Theresia A1 - Thieken, Annegret T1 - Analysis of the Most Severe Flood Events in Turkey (1960–2014) BT - Which Triggering Mechanisms and Aggravating Pathways Can be Identified? JF - Water N2 - The most severe flood events in Turkey were determined for the period 1960–2014 by considering the number of fatalities, the number of affected people, and the total economic losses as indicators. The potential triggering mechanisms (i.e., atmospheric circulations and precipitation amounts) and aggravating pathways (i.e., topographic features, catchment size, land use types, and soil properties) of these 25 events were analyzed. On this basis, a new approach was developed to identify the main influencing factor per event and to provide additional information for determining the dominant flood occurrence pathways for severe floods. The events were then classified through hierarchical cluster analysis. As a result, six different clusters were found and characterized. Cluster 1 comprised flood events that were mainly influenced by drainage characteristics (e.g., catchment size and shape); Cluster 2 comprised events aggravated predominantly by urbanization; steep topography was identified to be the dominant factor for Cluster 3; extreme rainfall was determined as the main triggering factor for Cluster 4; saturated soil conditions were found to be the dominant factor for Cluster 5; and orographic effects of mountain ranges characterized Cluster 6. This study determined pathway patterns of the severe floods in Turkey with regard to their main causal or aggravating mechanisms. Accordingly, geomorphological properties are of major importance in large catchments in eastern and northeastern Anatolia. In addition, in small catchments, the share of urbanized area seems to be an important factor for the extent of flood impacts. This paper presents an outcome that could be used for future urban planning and flood risk prevention studies to understand the flood mechanisms in different regions of Turkey. KW - hierarchical clustering KW - Hess-Brezowsky Großwetterlagen classification KW - ERA5 KW - flood hazards KW - pathway KW - Turkey Y1 - 2020 U6 - https://doi.org/10.3390/w12061562 SN - 2073-4441 VL - 12 IS - 6 PB - MDPI CY - Basel ER - TY - JOUR A1 - Koc, Gamze A1 - Petrow, Theresia A1 - Thieken, Annegret T1 - Analysis of the most severe flood events in Turkey (1960-2014) BT - which triggering mechanisms and aggravating pathways can be identified? JF - Water / Molecular Diversity Preservation International (MDPI) N2 - The most severe flood events in Turkey were determined for the period 1960-2014 by considering the number of fatalities, the number of affected people, and the total economic losses as indicators. The potential triggering mechanisms (i.e., atmospheric circulations and precipitation amounts) and aggravating pathways (i.e., topographic features, catchment size, land use types, and soil properties) of these 25 events were analyzed. On this basis, a new approach was developed to identify the main influencing factor per event and to provide additional information for determining the dominant flood occurrence pathways for severe floods. The events were then classified through hierarchical cluster analysis. As a result, six different clusters were found and characterized. Cluster 1 comprised flood events that were mainly influenced by drainage characteristics (e.g., catchment size and shape); Cluster 2 comprised events aggravated predominantly by urbanization; steep topography was identified to be the dominant factor for Cluster 3; extreme rainfall was determined as the main triggering factor for Cluster 4; saturated soil conditions were found to be the dominant factor for Cluster 5; and orographic effects of mountain ranges characterized Cluster 6. This study determined pathway patterns of the severe floods in Turkey with regard to their main causal or aggravating mechanisms. Accordingly, geomorphological properties are of major importance in large catchments in eastern and northeastern Anatolia. In addition, in small catchments, the share of urbanized area seems to be an important factor for the extent of flood impacts. This paper presents an outcome that could be used for future urban planning and flood risk prevention studies to understand the flood mechanisms in different regions of Turkey. KW - hierarchical clustering KW - Hess-Brezowsky Grosswetterlagen classification KW - ERA5 KW - flood hazards KW - pathway KW - Turkey Y1 - 2020 U6 - https://doi.org/10.3390/w12061562 SN - 2073-4441 VL - 12 IS - 6 PB - MDPI CY - Basel ER -