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001-es BibID:	BIBFORM123652
035-os BibID:	(Scopus)85202727566 (WoS)001302328300001
Első szerző:	Szopos Noémi Mária (geográfus)
Cím:	Flood risk assessment of a small river with limited available data / Noémi Mária Szopos, Imre J. Holb, Abriha Dávid, Szilárd Szabó
Dátum:	2024
ISSN:	2366-3286 2366-3294
Megjegyzések:	Flood risk modeling of small watercourses is challenging when only limited input data are available. Therefore, this study assessed the flood characteristics of a small river (Tarna River: entire watershed-C, upper-VS, middle-TMS, and lower section-TOS) from 1990 to 2019. The assessment focused on modeling, model calibration, and validation using feature event-based time-series data in data-scarce environments. We showed that since the 2000s, the number of high-water levels above 250 cm, and the frequency of three flood types had increased. Flood simulation results showed the largest flooded area in the TMS section, followed by the VS, and then the TOS. The outcomes from the VS, TMS, and TOS sections did not exhibit superior performance compared to the C area. Models performed well for larger flood events, with Kling Gupta Efficiency corresponding well to NRMSE and Nash-Sutcliffe efficiency metrics. Accordingly, flood events characterized by the longest duration and high-water levels yielded outstanding results across all areas, followed by moderate flood events with good accuracy. Normal water level events exhibited significant deviations from the reference across all sections. In summary, despite the event-based modeling challenges in data-limited environments, such models can still mitigate potential flood events and improve decision-making processes.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Hydrological modeling HEC-RAS Model accuracy Flood events
Megjelenés:	Spatial Information Research. - 32 : - (2024), p. 1-14. -
További szerzők:	Holb Imre (1973-) (agrármérnök) Abriha Dávid (1995-) (geográfus) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	RRF-2.3.1-21-2022-00008 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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