Measuring, modelling and managing gully erosion at large scales: A state of the art

M Vanmaercke, P Panagos, T Vanwalleghem… - Earth-Science …, 2021 - Elsevier
Soil erosion is generally recognized as the dominant process of land degradation. The
formation and expansion of gullies is often a highly significant process of soil erosion …

A century of gully erosion research: Urgency, complexity and study approaches

C Castillo, JA Gómez - Earth-Science Reviews, 2016 - Elsevier
Gully erosion has become a field of growing interest among the research community but
there still are numerous knowledge gaps that need to be addressed. The aim of this work is …

A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping

DT Bui, PTT Ngo, TD Pham, A Jaafari, NQ Minh… - Catena, 2019 - Elsevier
Flash flood is a typical natural hazard that occurs within a short time with high flow velocities
and is difficult to predict. In this study, we propose and validate a new soft computing …

[HTML][HTML] Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

W Chen, X Chen, J Peng, M Panahi, S Lee - Geoscience Frontiers, 2021 - Elsevier
As threats of landslide hazards have become gradually more severe in recent decades,
studies on landslide prevention and mitigation have attracted widespread attention in …

Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion

O Rahmati, N Tahmasebipour, A Haghizadeh… - Geomorphology, 2017 - Elsevier
Gully erosion constitutes a serious problem for land degradation in a wide range of
environments. The main objective of this research was to compare the performance of seven …

Assessing the performance of GIS-based machine learning models with different accuracy measures for determining susceptibility to gully erosion

Y Garosi, M Sheklabadi, C Conoscenti… - Science of the Total …, 2019 - Elsevier
The main purpose was to compare discrimination and reliability of four machine learning
models to create gully erosion susceptibility map (GESM) in a part of Ekbatan Dam Basin …

Gully erosion susceptibility assessment by means of GIS-based logistic regression: A case of Sicily (Italy)

C Conoscenti, S Angileri, C Cappadonia, E Rotigliano… - Geomorphology, 2014 - Elsevier
This research aims at characterizing susceptibility conditions to gully erosion by means of
GIS and multivariate statistical analysis. The study area is a 9.5 km 2 river catchment in …

Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison

O Rahmati, A Haghizadeh, HR Pourghasemi… - Natural hazards, 2016 - Springer
Gully erosion is a key issue in natural resource management that often has severe
environmental, economic, and social consequences. The objective of the present study is to …

Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework

O Rahmati, N Tahmasebipour, A Haghizadeh… - Science of the Total …, 2017 - Elsevier
Despite the importance of soil erosion in sustainable development goals in arid and semi-
arid areas, the study of the geo-environmental conditions and factors influencing gully …

Validation and evaluation of predictive models in hazard assessment and risk management

S Beguería - Natural Hazards, 2006 - Springer
The paper deals with the validation and evaluation of mathematical models in natural
hazard analysis, with a special focus on establishing their predictive power. Although most …