Spatial distribution of channel heads in the Polish Flysch Carpathians

Płaczkowska, Eliza; Górnik, Marek; Mocior, Ewelina; Peek, Barbara; Potoniec, Piotr; Rzonca, Bartłomiej; Siwek, Janusz

doi:10.1016/j.catena.2014.12.033

Cited by 43 publications

(12 citation statements)

References 43 publications

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“…Field surveying continues to be the most accurate and reliable mapping method for streams (Płaczkowska et al ., ) yet is not feasible over large or remote areas. The increasing availability and advancement of geospatial data and analysis techniques in recent decades offers opportunities as well as unique challenges for characterizing headwaters.…”

Section: Introductionmentioning

confidence: 99%

Modeling wet headwater stream networks across multiple flow conditions in the Appalachian Highlands

Jensen

McGuire

Shao

et al. 2018

Earth Surf Processes Landf

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Despite the advancement of remote sensing and geospatial technology in recent decades, maps of headwater streams continue to have high uncertainty and fail to adequately characterize temporary streams that expand and contract in the wet length. However, watershed management and policy increasingly require information regarding the spatial and temporal variability of flow along streams. We used extensive field data on wet stream length at different flows to create logistic regression models of stream network dynamics for four physiographic provinces of the Appalachian Highlands: New England, Appalachian Plateau, Valley and Ridge, and Blue Ridge. The topographic wetness index (TWI) was the most important parameter in all four models, and the topographic position index (TPI) further improved model performance in the Appalachian Plateau, Valley and Ridge, and Blue Ridge. We included stream runoff at the catchment outlet as a model predictor to represent the wetness state of the catchment, but adjustment of the probability threshold defining wet stream presence/absence to high values for low flows was the primary mechanism for approximating network extent at multiple flow conditions. Classification accuracy was high overall (> 0.90), and McFadden's pseudo R2 values ranged from 0.69 for the New England model to 0.79 in the Appalachian Plateau. More notable errors included an overestimation of wet stream length in wide valleys and inaccurate reach locations amid boulder deposits and along headwardly eroding tributaries. Logistic regression was generally successful for modeling headwater streams at high and low flows with only a few simple terrain metrics. Modification and application of this modeling approach to other regions or larger areas would be relatively easy and provide a more accurate portrayal of temporary headwaters than existing datasets. © 2018 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Modeling wet headwater stream networks across multiple flow conditions in the Appalachian Highlands

Jensen

McGuire

Shao

et al. 2018

Earth Surf Processes Landf

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“…Many have reported a similar relationship using the support area concept (e.g. Placzkowska et al, 2015) and use of a 'support area' with no slope dependency to define the hillslope-channel transition. In promotion of this concept, Prosser and Abernethy (1996) found a relationship between channel heads and shear stress if runoff was determined using saturation-excess generation rather than infiltration-excess runoff (i.e.…”

Section: Gully Stabilitymentioning

confidence: 95%

“…discharge was not proportional to area). In general, most studies have demonstrated a channel head relationship related to area and slope, or some combination (Kirkby et al, 2003;Montgomery & Dietrich, 1988Montgomery & Foufoula-Georgiou, 1993;Placzkowska et al, 2015;Torri & Poesen, 2014). However, there are questions as to whether this provides a gully head location (based on area and slope supporting the gully head), or the area and slope of the gully head simply exist within the generality of the catchment area-slope relationship.…”

Section: Gully Stabilitymentioning

confidence: 99%

Predicting gully erosion using landform evolution models: Insights from mining landforms

Hancock

Willgoose

2021

Earth Surf Processes Landf

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Incision as a result of fluvial erosion is an important process to model when simulating landform evolution. For gullies, it is apparent that coupled with the processes that cause incision there must be a range of processes that stop incision. Once started, rills and gullies will grow infinitely without a reduction in support area and/or being arrested by deposition and armouring. Some of these processes have been well studied under the heading of inter-rill erosion. Other limiting processes are related to the shape of the landform and how downstream deposition areas are linked geomorphically to the upstream gullies. Armouring is also an important process that reduces gully incision and extension, where the gully erodes to bedrock and the resistant base limits further development. Post-mining landscapes are new surfaces with new materials and provide the opportunity to examine gully initiation, extension and stabilization. The work presented here has largely been driven by the mining industry, where there has been a need to assess erosion over hazardous wastes like mine tailings and low-level nuclear waste. We demonstrate the usefulness of computer-based landscape evolution models and the more recent soilscape models (that include both surface and subsurface processes) to understand both fluvial and diffusive processes as well as armouring in a digital elevation model framework (as well as landscape evolution). Landscape evolution models provide insights into complex non-linear systems such as gullies. A key need is that of field data to parameterize and validate the models. It is argued that current models have more capability than field data available for parameterization and importantly the validation of model outputs.

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“…Nevertheless, the development of technology in the last twenty years has not diminished the importance of field research, even when it comes to mapping springs. In the research of Płaczkowska et al (2015) and Mocior et al (2015), about 400 springs were mapped in the field. In their research, Płaczkowska et al (2015) analyzed the spatial distribution of channel heads in the Beskydy Mountains, while Mocior et al (2015) analyzed the determinants of distribution of springs in the same area.…”

Section: Modern Research On Springs In the Worldmentioning

confidence: 99%

An overview of classifications and modern research of springs in the world and in Croatia

Martinić

2022

Hrv. geogr. glas.

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Because of their importance, water springs have been the subject of scholarly study since the late 17th century. With the development of science in the 19th, and especially in the 20th and 21st centuries, they became the object of study of various fields and branches of science. The result of the diverse studies of springs is a rich knowledge of their properties and the development of numerous classifications. Most basic classifications were created at the beginning of the 20th century, but a need for interdisciplinary research and classification of springs has emerged in the last twenty years. Today, however, there is no internationally-accepted interdisciplinary classification or database of springs that would facilitate the comparison of researched features and the use of research data. In Croatia, water-rich karst springs, which are attractive phenomena, have been thoroughly researched and classified, while non-karst springs have been examined less. The aim of this paper is to present the development of spring classifications throughout history, to emphasize the variety of research approaches that have been used, and to present the most important modern research of springs in the world and in Croatia.

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Spatial distribution of channel heads in the Polish Flysch Carpathians

Cited by 43 publications

References 43 publications

Modeling wet headwater stream networks across multiple flow conditions in the Appalachian Highlands

Modeling wet headwater stream networks across multiple flow conditions in the Appalachian Highlands

Predicting gully erosion using landform evolution models: Insights from mining landforms

An overview of classifications and modern research of springs in the world and in Croatia

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