Climate impact on flood changes – an Austrian-Ukrainian comparison DOI Open Access
S. Snizhko, Miriam Bertola, Valeriya Ovcharuk

et al.

Journal of Hydrology and Hydromechanics, Journal Year: 2023, Volume and Issue: 71(3), P. 271 - 282

Published: Aug. 10, 2023

Abstract This study compares the flood regime of rivers in Ukraine and Austria over last decades. We used data from mountain lowland watersheds, where floods are caused by different processes. In order to identify possible shifts day occurrence annual maxima, we apply kernel density method time series two subperiods (1960–1987 1988–2015). use Mann Kendall test at a 5% significance level significant positive or negative trends maximum discharges. Austria, observe an increasing trend summer associated with precipitation. areas Ukraine, clear reduction spring is observed, linked shallower snow packs warming climate. Ukrainian Carpathians, on other hand, occur throughout year, increase portion liquid precipitation during cold period year leads earlier probability flooding winter.

Language: Английский

Global river water quality under climate change and hydroclimatic extremes DOI
Michelle T. H. van Vliet, Josefin Thorslund, Maryna Strokal

et al.

Nature Reviews Earth & Environment, Journal Year: 2023, Volume and Issue: 4(10), P. 687 - 702

Published: Sept. 12, 2023

Language: Английский

Citations

148
Assessing multi-source random forest classification and robustness of predictor variables in flooded areas mapping DOI Creative Commons
Cinzia Albertini, Andrea Gioia, Vito Iacobellis

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 35, P. 101239 - 101239

Published: May 10, 2024

Flood extent delineation techniques have benefited from the increasing availability of remote sensing imagery, classification and introduction geomorphic descriptors derived Digital Elevation Models (DEM). On other hand, high-performing Machine Learning (ML) methods allowed for development accurate flood maps by integrating several predictor variables into supervised or unsupervised algorithms. Among others, Random Forest (RF) is a powerful widely applied ML classifier, providing predictions also with complex datasets varying parameters set. In present study, effectiveness this algorithm mapping flooded areas was evaluated. Various geospatial data sources were integrated, including morphological indicators, such as Geomorphic Index (GFI), Sentinel-2 bands, multispectral indices, Sentinel-1 polarizations. The reliability under different training sample sizes evaluated accuracy RF classifier assessed. Moreover, exploring ability to identify most important variables, predictors contributing identified their stability investigated. To gauge adaptability consistency these features, we our analyses study around World. results indicate that certain displayed remarkable across remained robust various parameters. However, some variability in structure features related specific complexities each considered case observed.

Language: Английский

Citations

11
Projected increase in widespread riverine floods in India under a warming climate DOI

J. S. Nanditha,

Vimal Mishra

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 630, P. 130734 - 130734

Published: Jan. 24, 2024

Language: Английский

Citations

9
Abflusstrends in Österreichs Fließgewässern 1977–2020 DOI Creative Commons
Gregor Laaha, Johannes Laimighofer, Juraj Párajka

et al.

Österreichische Wasser- und Abfallwirtschaft, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

Zusammenfassung In diesem Beitrag werden die Abflusstrends in Österreich für 250 Pegel (Niederwasser und Mittelwasser) bzw. 331 (Hochwasser) im Zeitraum 1977–2020 analysiert. Während sich Mittel über der Mittelwasserabfluss wenig verändert hat, sind regionale Verschiebungen des Wasserdargebots zu verzeichnen, mit signifikant abnehmenden Trends Westen, Nordwesten (Innviertel, Mühlviertel) Südosten (etwa 20 % 43 Jahren), leicht zunehmenden Alpenraum. Beim Hochwasser haben steigenden den letzten Jahren verstärkt. Vor allem südlichen Niederösterreich Obersteiermark sowie Gebieten entlang Alpenhauptkamms ist eine deutliche Zunahme von bis +20 (+5 pro Dekade) verzeichnen. Der Anstieg kleineren Einzugsgebieten ausgeprägter als größeren Gebieten. Im Osten Österreichs zeigt auch saisonale Verschiebung Jahreshochwasser vom Winter Frühjahr Sommer. Niederwasser unterhalb 900 m ü. A. fallende etwa 16 Einzugsgebiete beobachten, Abflussrückgängen Sommer −20 −5 Innviertel besonders stark ausgeprägt sind. diesen Regionen zeichnet Verschärfung Niederwassersituation ab, bei wasserwirtschaftlichen Planung berücksichtigt sollte.

Citations

1
Quantifying the relative contributions of rainfall and antecedent soil moisture to flood generation: Analysis of 963 Iranian catchments DOI
Afshin Jahanshahi, Martijn J. Booij

Journal of Arid Environments, Journal Year: 2025, Volume and Issue: 227, P. 105328 - 105328

Published: Jan. 29, 2025

Language: Английский

Citations

1
Artificial neural networks for flood susceptibility analysis in Gangarampur sub-division of Dakshin Dinajpur, West Bengal, India DOI Creative Commons

Ankeli Paul

Frontiers in Engineering and Built Environment, Journal Year: 2025, Volume and Issue: 5(1), P. 1 - 21

Published: Jan. 31, 2025

Purpose The study aims to identify the areas of flood susceptibility and categorize Gangarampur sub-division into various zones. It also aspires evaluate efficacy integrating Geographic Information Systems (GIS) with Artificial Neural Networks (ANN) for analysis. Design/methodology/approach factors contributing floods such as rainfall, geomorphology, geo-hazard, elevation, stream density, land use cover, slope, distance from roads, Normalized Difference Water Index (NDWI) rivers were analyzed ANN model helps construct map area. For validating outcome, Receiver Operating Characteristic (ROC) is employed. Findings results indicated that proximity rivers, rainfall deviation, cover are most significant influencing occurrence in demonstrated a prediction accuracy 85%, its effectiveness Originality/value research offers novel approach by analysis sub-division. By identifying key deviation use, achieves 85% accuracy, showing risk mapping. These findings provide critical insights planners devise targeted mitigation strategies.

Language: Английский

Citations

1
Scaling Nature‐Based Solutions for Fluvial Floods: A Worldwide Systematic Review DOI Creative Commons

Marina Howarth,

Erica A. H. Smithwick, Lauren McPhillips

et al.

Wiley Interdisciplinary Reviews Water, Journal Year: 2025, Volume and Issue: 12(2)

Published: March 1, 2025

ABSTRACT Despite increased understanding and adoption of nature‐based solutions (NBSs) within urban coastal areas, large‐scale NBS for fluvial flood mitigation remain challenging to study implement. A stronger evidence base is needed identify critical research gaps best inform the design deployment on watershed scale. We synthesize performance co‐benefits based a systematic review 131 peer‐reviewed papers worldwide, developing an Ecosystem Focus Type (EFT) compare across NBS. While we find that can mitigate floods all EFTs, our also highlights inconsistencies in measurement methods, dearth empirical case studies, large variability reported values limit generalization comparison Co‐benefits are numerous, but few quantified, methods vary with regard specific Social benefits NBS, including communities most need support, infrequently part these studies. There clear develop common standards guidance which measures key consider monitor co‐benefits. The success will depend practice guided by transdisciplinary systems thinking approaches deliver evidence‐based, community‐driven outcomes.

Language: Английский

Citations

1
Increasing hourly heavy rainfall in Austria reflected in flood changes DOI Creative Commons
Klaus Haslinger, Korbinian Breinl, Lovrenc Pavlin

et al.

Nature, Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

Climate change is expected to increase heavy rainfall with concomitant increases in flooding1. Causes of increased include the higher water-holding capacity a warmer atmosphere and changes atmospheric circulation patterns2, which may translate into future most Europe3. However, gathering evidence on time evolution past has been hampered by data limitations measurement uncertainties, particular for short durations, such as 1 h. Here we show an 8% daily 15% hourly over last four decades analysing new dataset comprising 883 stations Austria from 1900 2023. These are fully consistent between two independent networks occurred after retarding phase 1960 1980. Hourly aligned temperature sensitivity 7% per °C warming, line Clausius–Clapeyron scaling. Daily changes, however, indices little correlation air temperature, suggests bigger role modes than previously thought. The remarkably observed flood about large catchments. similarly small catchments, although stronger (25% decades). adaptation measures management therefore be more pressing rivers draining smaller catchment areas rivers. Long-term precipitation different climatic mechanisms emphasize need adaptation, especially catchments affected rainfall.

Language: Английский

Citations

1
Soil moisture dynamics and associated rainfall-runoff processes under different land uses and land covers in a humid mountainous watershed DOI

Zhixin Lin,

Qiang Wang, Youpeng Xu

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 636, P. 131249 - 131249

Published: April 27, 2024

Language: Английский

Citations

8
Mega Forest Fires Intensify Flood Magnitudes in Southeast Australia DOI Creative Commons
Zhenwu Xu, Yongqiang Zhang, Günter Blöschl

et al.

Geophysical Research Letters, Journal Year: 2023, Volume and Issue: 50(12)

Published: June 28, 2023

Abstract Recent forest fires potentially intensify flood hazards. However, fire amplification of floods is not well understood at a large scale due to the complex compound impacts and climate variability, while available small‐scale cases may represent regional changes. Here, we show that 2019–2020 mega in southeast Australia, with unprecedented burned areas, significantly ( p < 0.05) increased peak discharges during 2 years after fires. Spatially, on these are much stronger regions winter‐dominated uniform rainfall but insignificant summer‐dominated rainfall. The divergence reveals areas can aggravate by exacerbating infiltration‐excess runoff processes exert significant effects where saturation‐excess dominate. People be increasingly exposed such hazards, especially have become more frequent under change.

Language: Английский

Citations

16