Fluvial geomorphology

Stott, Tim

doi:10.1177/0309133309357284

Cited by 11 publications

(5 citation statements)

References 143 publications

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“…This technique has been broadly used in many research fields. Within geomorphology, Gokceoglu and Sezer (2009); Piégay et al (2015); Sassa et al (2015); Stott (2010Stott ( , 2011Stott ( , 2013; Wu et al (2015) have used bibliometric analyzes to evaluate patterns related to fluvial geomorphology and also landslides. Wu et al (2015) pointed out some research trends related to the term "landslide", highlighting a growing usage in recent decades.…”

Section: Bibliometric Analysismentioning

confidence: 99%

Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility

et al. 2022

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In recent decades, data-driven landslide susceptibility models (DdLSM), which are based on statistical or machine learning approaches, have become popular to estimate the relative spatial probability of landslide occurrence. The available literature is composed of a wealth of published studies and that has identified a large variety of challenges and innovations in this field. This review presents a comprehensive up-to-date overview focusing on the topic of DdLSM. This research begins with an introduction of the theoretical aspects of DdLSM research and is followed by an in-depth bibliometric analysis of 2585 publications. This analysis is based on the Web of Science, Clarivate Analytics database and provides insights into the transient characteristics and research trends within published spatial landslide assessments. Following the bibliometric analysis, a more detailed review of the most recent publications from 1985 to 2020 is given. A variety of different criteria are explored in detail, including research design, study area extent, inventory characteristics, classification algorithms, predictors utilized, and validation technique performed. This section, dealing with a quantitative-oriented review expands the time-frame of the review publication done by Reichenbach et al. in 2018 by also accounting for the four years, 2017–2020. The originality of this research is acknowledged by combining together: (a) a recap of important theoretical aspects of DdLSM; (b) a bibliometric analysis on the topic; (c) a quantitative-oriented review of relevant publications; and (d) a systematic summary of the findings, indicating important aspects and potential developments related to the DdLSM research topic. The results show that DdLSM are used within a wide range of applications with study area extents ranging from a few kilometers to national and even continental scales. In more than 70% of publications, a combination of the predictors, slope angle, aspect and geology are used. Simple classifiers, such as, logistic regression or approaches based on frequency ratio are still popular, despite the upcoming trend of applying machine learning algorithms. When analyzing validation techniques, 38% of the publications were not clear about the validation method used. Within the studies that included validation techniques, the AUROC was the most popular validation metric, being used accounting for 44% of the studies. Finally, it can be concluded that the application of new classification techniques is often cited as a main research scope, even though the most relevant innovation could also lie in tackling data-quality issues and research designs adaptations to fit the input data particularities in order to improve prediction quality.

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Section: Bibliometric Analysismentioning

confidence: 99%

Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility

et al. 2022

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“…One of the modern trends in geomorphology is the investigation of fluvial processes. While the research of rivers in different types of environments or karstic underground streams is proceeding fast (Stott, 2010;Woodside et al, 2015), the fluvial geomorphic processes influenced by abandoned underground mines remain almost completely undescribed. In contrast with natural caves, the courses of underground streams running through mines described in Stott (2010) are directed by human will.…”

Section: Future Challengesmentioning

confidence: 99%

“…While the research of rivers in different types of environments or karstic underground streams is proceeding fast (Stott, 2010;Woodside et al, 2015), the fluvial geomorphic processes influenced by abandoned underground mines remain almost completely undescribed. In contrast with natural caves, the courses of underground streams running through mines described in Stott (2010) are directed by human will. Historical sophisticated drainage systems together with the later-created unintended paths of drainage resulted in unexpected consequences of individual hydrological parameters, such as discharge or sediment fluxes.…”

Section: Future Challengesmentioning

confidence: 99%

Geomorphology of old and abandoned underground mines: Review and future challenges

Schuchová

Lenart

2020

Progress in Physical Geography: Earth and Environment

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Abandoned underground mines remain insufficiently investigated landforms, which leads to underestimating their importance within world landscapes. Even though they stand as distinct and widespread geomorphic forms, research devoted to them is underpublished in comparison with natural caves. Because many mines with disturbed entrances remain hidden, various methods of their detection are reviewed, which are essential to prevent loss of life and damage due to their eventual collapse. The most prominent manifestations of the presence of abandoned underground mines are dynamic deformations along with slower subsidence. Even small related movements of the rock mass are detectable. Interest in monitoring and modelling the motions of such processes is growing. In response to the increasing number of documented mines worldwide, their reclamation, remediation or rehabilitation are being initiated as part of efforts to restore land devastated by mining activities; complex reclamation problems can be addressed by multidisciplinary expert teams. However, it is important to note that abandoned underground mines and their particular geomorphic forms are considered to be a source of great geodiversity and hence also biodiversity. The various possibilities of future research connected with abandoned underground mines as geomorphic forms are outlined.

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“…Stott (2010) desarrolló un informe sobre el estado de la disciplina durante los años 2006/07 a través del análisis de 147 artículos publicados en 21 revistas de peso. Los resultados del estudio indican que son 10 las áreas temáticas de mayor investigación dentro de la geomorfología fluvial actual: gestión fluvial, restauración y efectos de la vegetación sobre los sistemas fluviales, erosión del suelo, hidráulica fluvial, transporte de sedimentos, transferencia de sedimentos en ladera, modelización del medioambiente fluvial, regulación de ríos, cambios en el cauce e influencia humana, avances en metodologías en geomorfología fluvial, erosión de orillas y estudios paleoambientales.…”

Section: Iii3 La Geomorfología Fluvial En El Siglo XXIunclassified

Sobre la evolución como ciencia de la geomorfología dinámica en ambientes fluviales

Horacio¹

2017

BAGE

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RESUMENSe presenta un análisis histórico-evolutivo de la geomorfología dinámica en ambientes fluviales. El objetivo del estudio se centra en organizar los hechos temporales pasados que han ido confeccionando el cuerpo de lo que actualmente es esta ciencia. La línea del tiempo establecida se estructura en diferentes etapas, cada una de las cuales se define por unas características propias que derivan en una forma concreta de practicar y concebir la ciencia. Dicha línea del tiempo actúa también como guía y argumento en la lectura del texto.Palabras clave: geomorfología fluvial, antecedentes, historia, ciencia, evolución. ABSTRACTThis paper analyses the history and development of fluvial geomorphology in dynamic environments. The goal of the study is to organize the past events that have been making up the body of what this science is now. The established timeline is divided into different stages, each of which is defined by its own characteristics resulting in a particular way to conceive of and practice science; the timeline also serves to guide the reading of this text.

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Fluvial geomorphology

Cited by 11 publications

References 143 publications

Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility

Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility

Geomorphology of old and abandoned underground mines: Review and future challenges

Sobre la evolución como ciencia de la geomorfología dinámica en ambientes fluviales

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