Coupling multitemporal remote sensing with geomorphology and hydrological modeling for post flood recovery in the Strymonas dammed river basin (Greece)
Autor: | Annarita D'Addabbo, Konstantinos Vouvalidis, Alberto Refice, Fabio Bovenga, Marina Zingaro, Leonidas Stamatopoulos, Andrea Soncini, Daniele Bocchiola, Domenico Capolongo |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Multitemporal remote sensing
Watershed Environmental Engineering 010504 meteorology & atmospheric sciences Floodplain Event (relativity) Drainage basin 010501 environmental sciences 01 natural sciences Flood Theoretical Rivers Models Water Movements Environmental Chemistry Hydrological model Waste Management and Disposal 0105 earth and related environmental sciences Hydrology geography geography.geographical_feature_category Flood myth Greece Lead (sea ice) Geomorphology Geology Models Theoretical Strymonas river Pollution Floods Term (time) Environmental Monitoring Remote Sensing Technology Remote sensing (archaeology) Environmental science |
Zdroj: | Science of the total environment 651 (2018): 1958–1968. doi:10.1016/j.scitotenv.2018.10.114 info:cnr-pdr/source/autori:D. Capolongo(a), A. Refice(b), D.Bocchiola(d), A. D'Addabbo(b), K. Vouvalidis(c), A. Soncini(d), M. Zingaro(a), F. Bovenga(b), L. Stamatopoulos(e)/titolo:Coupling multitemporal remote sensing with geomorphology and hydrological modeling for post flood recovery in the Strymonas dammed river basin (Greece)/doi:10.1016%2Fj.scitotenv.2018.10.114/rivista:Science of the total environment/anno:2018/pagina_da:1958/pagina_a:1968/intervallo_pagine:1958–1968/volume:651 |
Popis: | We present a case study of a long-term integrated monitoring of a flood event which affected part of the Strymonas dammed river basin, a transboundary river with source in Bulgaria, which flows then through Greece to the Aegean Sea. The event, which affected the floodplain downstream the Kerkini dam, started at the beginning of April 2015, due to heavy rain upstream of the monitored area, and lasted for several months, with some water pools still present at the beginning of September, due to the peculiar geomorphological conditions of the watershed. We collected a multi-temporal dataset consisting of a high-resolution, X-band COSMO-SkyMed, and several C-band Sentinel-1 SAR and optical Landsat-8 images of the area. The results allow following the event in time, sketching a multi-temporal map of the post-flood evolution, with relatively high temporal resolution. We then use hydrological modeling to mimic the dynamics of the flooded area against post event weather patterns and thus explain the observed flood extent evolution. We show how integrating remote sensing-derived maps of flooded areas, geomorphological analyses of the landscape and simplified hydrological modeling allows accurate inference about long-term dynamics of flooded areas, very important in the post event in anthropogenic highly modified areas, where recovery time after the flood event is considerable, and long term water persistence may lead to large consequences, carrying economic damages and medical emergencies. |
Databáze: | OpenAIRE |
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