Geological setting control of flood dynamics in lowland rivers (Poland)

Wierzbicki, Grzegorz; Ostrowski, Piotr; Falkowski, Tomasz; Mazgajski, Michał

doi:10.1016/j.scitotenv.2018.04.250

Cited by 26 publications

(24 citation statements)

References 35 publications

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“…It is an effect of, among others, the complex evolution of their bottoms, proceeding since the decline of the Pleistocene [4,5]. The current nature of river valleys is the result of the evolution of the fluvial environment in the Holocene [6] Originally during the Holocene climate optimum, during the Atlantic period of Holocene the rivers of Europe Lowland characterized a balance between aggradation and degradation processes, the effect of which is the formation of meandering channels; characteristic of mature rivers [7]. Currently, due to changes caused by anthropopressure, in particular deforestation and management of the catchment, we note an additional supply of clastic material to the rivers.…”

Section: Introductionmentioning

confidence: 99%

Hydrogeological Analysis Supported by Remote Sensing Methods as A Tool for Assessing the Safety of Embankments (Case Study from Vistula River Valley, Poland)

Bujakowski

Falkowski

2019

Water

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We aim to answer a question: how does the evolution of fluvial environment affect to risk of embankments failure in lowland rivers and how can we identify and describe places at risk of levees failure using the remote sensing data? The study was carried out in the Vistula River valley near Magnuszew (middle Vistula course, central Poland). 24 geological boreholes were drilled to a depth of 2.0–8.5 m and groundwater table observations were conducted in a monitoring network consisting of 22 wells, 5 piezometers (screened within the Holocene alluvial aquifer) and 2 temporary water gauges. Identification of the diversity of the geological structure of the floodplain was supported by airborne laser scanning imaging, as well as high resolution satellite images and aerial photos. This remote sensing study allowed the creation of a conceptual model of hydrogeological conditions. Study takes into account the effects of the land forming activity of flood waters resulting from the evolution of the fluvial environment in the Holocene. Created conceptual model subsequently fed into the construction and calibration of a mathematical groundwater flow model using MODFLOW software. The study allowed the identification and characterisation of intensified groundwater flow zones. Concentrated flow in the substrate of flood protection levees constitutes a threat to their stability. Documented in many publications climate change will induce in future climate scenarios an increase in rainfall and prolongation of dry periods. The implementation of the methodology of identifying the geological forms with the use of presented techniques allows the identification of sections of flood embankments potentially at risk of failure.

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Section: Introductionmentioning

confidence: 99%

Hydrogeological Analysis Supported by Remote Sensing Methods as A Tool for Assessing the Safety of Embankments (Case Study from Vistula River Valley, Poland)

Bujakowski

Falkowski

2019

Water

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“…Both sections of the valley are characterized by a highly diverse fluvial microrelief ( Fig. 2.2), with fragments of flat flood-basin and upper terraces, longitudinal, narrow depressions of oxbow lakes, natural levees, extensive flat-bottomed depressions on the floodplain, as well as longitudinal and narrow raised berms or crests above the floodplain surface [77]. The soil cover is definitely dominated by alluvial soils developed on sandy and sandy-silty formations, locally showing traces of aeolian processes.…”

Section: Study Areasmentioning

confidence: 99%

Recursive Feature Elimination and Random Forest Classification of Meadows and Dry Grasslands in Lowland River Valleys of Poland Based on Airborne Hyperspectral and LiDAR Data Fusion

Demarchi¹,

Kania²,

Ciężkowski³

et al. 2020

Preprint

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The use of Hyperspectral (HS) and LiDAR acquisitions has a great potential to enhance mapping and monitoring practices of endangered grasslands habitats, beyond conventional botanical field surveys. In this study we assess the potentiality of Recursive Feature Elimination (RFE) in combination with Random Forest (RF) classification in extracting the main HS and LiDAR features needed to map selected Natura 2000 grasslands along Polish lowland river valleys, in particular alluvial meadows 6440, lowland hay meadows 6510 and xeric and calcareous grasslands 6120. We developed an automated RFE-RF system capable to combine the potentials of both techniques and applied it to multiple acquisitions. Several LiDAR-based products and different Spectral Indexes (SI) were computed and used as input in the system, with the aim of shedding light on the best-to-use features. Results showed a remarkable increase in classification accuracy when LiDAR and SI products are added to the HS dataset, strengthening in particular the importance of employing LiDAR in combination with HS. Using only the 24 optimal features selection generalized over the three study areas, strongly linked to the highly heterogeneous characteristics of the habitats and landscapes investigated, it was possible to achieve rather high classification results (K around 0.7-0.77 and habitats F1 accuracy around 0.8-0.85), indicating that the selected Natura 2000 meadows and dry grasslands habitats can be automatically mapped by airborne HS and LiDAR data. Similar approaches might be considered for future monitoring activities in the context of habitats protection and conservation

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“…Dynamika sedimentačního prostředí říčních niv je výsledkem komplexu faktorů, mezi které patří například geologická stavba a reliéf povodí (Wierzbicki et al 2018), konektivita uvnitř fluviálního systému (Faust, Wolf 2017) nebo klimatické změny (Asselman et al 2003). V řadě oblastí se dominantním faktorem současnosti staly zásahy člověka, jak v ploše povodí, tak v samotných korytech a nivách (de Moor et al 2008).…”

Section: úVodunclassified

Vliv sedimentačního prostředí na magnetickou susceptibilitu přelivových sedimentů nivy Moravy ve Strážnickém Pomoraví

Ježková

Máčka

2020

Geologické výzkumy

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Four profiles in different sedimentary environments - natural levee, proximal floodplain, distal floodplain, oxbow lake - were sampled to obtain magnetic susceptibility (MS), grain size, organic matter content (LOI) and pH. Relationships between selected parameters (χlf, D50, LOI, pH) were analysed by means of statistical analysis (linear regression, PCA, factor analysis). Principal goal was to investigate how character of individual sedimentary environments and their distance from the active river channel is reflected in the magnetic signal of overbank deposits. A decrease in the magnetic signal with increasing distance from the river channel was shown, confirming that fluvial deposition is a major factor of contamination of floodplain sediments by anthropogenic magnetic particles. The base of elevated values of MS (levee: 80 cm, proximal floodplain: 30 cm) probably corresponds to the turn of the 19th and 20th century and the strongest magnetic signal (levee: 32,5 cm, proximal floodplain: 5 cm) belongs to the 1980s. Statistically significant relationships were found between: χlf and LOI (direct dependence), LOI and D50 (indirect dependence), pH and D50 (direct dependence) when data from all profiles were analysed together.

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Geological setting control of flood dynamics in lowland rivers (Poland)

Cited by 26 publications

References 35 publications

Hydrogeological Analysis Supported by Remote Sensing Methods as A Tool for Assessing the Safety of Embankments (Case Study from Vistula River Valley, Poland)

Hydrogeological Analysis Supported by Remote Sensing Methods as A Tool for Assessing the Safety of Embankments (Case Study from Vistula River Valley, Poland)

Recursive Feature Elimination and Random Forest Classification of Meadows and Dry Grasslands in Lowland River Valleys of Poland Based on Airborne Hyperspectral and LiDAR Data Fusion

Vliv sedimentačního prostředí na magnetickou susceptibilitu přelivových sedimentů nivy Moravy ve Strážnickém Pomoraví

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