GIS-based landslide susceptibility mapping in the Safi region, West Morocco

Boualla, Othmane; Mehdi, Khalid; Fadili, Ahmed; Makan, Abdelhadi; Zourarah, Bendahhou

doi:10.1007/s10064-017-1217-y

Cited by 27 publications

(11 citation statements)

References 63 publications

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“…After determining the magnitude of the contribution of different frequency ratio indices of each LIF to landslide occurrence, it is evident that the frequency ratios of each LIF are superimposed with equal weights, which fails to accurately reflect the influence of different LIFs on landslide occurrence. The FR-XGBoost model can analyze the frequency ratios through multiple decision trees 6 . However, it does not consider the spatial correlation when expressing the influence of frequency ratios on geohazards.…”

Section: Improved Frequency Ratio and Xgboost Integrated Modelmentioning

confidence: 99%

Landslide susceptibility assessment based on improved frequency ratio and XGBoost integrated model: a case study of Yingshan County

Yang,

Tan,

Zhu

et al. 2024

Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023)

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Obtaining accurate landslide susceptibility models for Yingshan County poses a challenge due to the presence of spatially heterogeneous landslide influencing factors (LIF) with significant uncertainties. Previous studies have utilized frequency ratio (FR) methods and XGBoost for landslide susceptibility mapping, but the results can still be improved. To address the limitations imposed by a single method, this paper proposes an improved frequency ratio (IFR) and XGBoost integrated model (IFR-XGBoost) and selects 12 LIFs for landslide susceptibility modeling. The results of accuracy, specificity, sensitivity, and ROC analysis indicate that all four models demonstrate accurate prediction of landslide susceptibility maps and the IFR-XGBoost model performs the best (AUC=0.93). These findings suggest that the IFR-XGBoost model proposed in this study is expected to produce accurate landslide susceptibility maps and provide guidelines for future scholars.

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Section: Improved Frequency Ratio and Xgboost Integrated Modelmentioning

confidence: 99%

Landslide susceptibility assessment based on improved frequency ratio and XGBoost integrated model: a case study of Yingshan County

Yang,

Tan,

Zhu

et al. 2024

Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023)

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“…Taking into account the above, the research project in which this work is framed was launched to qualitatively and quantitatively characterize the retreat of the Asturian coast, using the cliff instabilities as indicator (Domínguez-Cuesta et al, 2019). It is necessary to know in depth how natural processes occur, to incorporate geological risk into land management and urban planning, as has already been shown in other parts of Spain (Mateos et al, 2017) and the world (Boualla et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Comment on nhess-2021-16

Trenhaile¹

2021

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The Tazones Lighthouse slope shows different active mass movements affecting an area of 70.000 m 2 of the Cantabrian Coast (N Spain), characterized by almost vertical rocky cliffs developed on Jurassic rocks: alternating marl, sandstone and limestone with three main stratigraphic and structural discontinuity families. Between June 2018 and May 2020, 22 monthly monitoring campaigns have been carried out to measure the displacement of 38 control points, located between 95-110 masl. The total station monitoring has been complemented by ortophoto analysis and detailed digital terrain models (DTM) from two drone flights. Since the beginning of the 3D monitoring, about the 50% of the markers moved more than 1 m, one of them exceeding 15 m. Detailed DTM has shown that the increased activity is controlled by the discontinuities. There is an extraordinary correlation between displacement acceleration and precipitation and soil moisture: the largest displacements have occurred after 2 periods of intense rain (January and October-November 2019, with a maximum 24-hour precipitation of 64.5 mm and 82.1 mm, respectively, and soil moisture values higher than 90%). This represents an exceptional opportunity to analyse in real time the Jurassic cliffs retreat of the Cantabrian Coast, a question that remained not quantified.

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“…Las laderas costeras se encuentran en constantes procesos erosivos que alteran su morfología y estabilidad (Domenico & Valente, 2019) ocasionando riesgos naturales que impactan a una población y territorio de una nación (Andriani et al, 2005). La recesión progresiva de los acantilados está en función de su estructura geológica (Costa et al, 2019;Allison 2020), propiedades físicas, mecánicas (Ayt Ougougdal et al, 2020) determinadas con los ensayos de campo y laboratorio (Severo et al, 2016), mineralogía, estructura litológica (Boualla et al, 2019;Calista et al, 2019), discontinuidades del macizo rocoso (Margottini et al, 2015), historia y cambio climático (Jenkins et al, 2007, Corominas et al, 2017 y del incremento de humedad en el suelo causado por las precipitaciones disminuyendo la resistencia del esfuerzo cortante (Barbosa et al, 2020). Proponen que dentro del análisis experimental se debe investigar estas características en forma integral junto con la topografía (Hobbs et al, 2019) y para su efecto recomiendan utilizar los vehículos aéreos no tripulados (UAV) colocando puntos de control en tierra (Warrick et al, 2017;Koukouvelas et al, 2020).…”

Section: Introductionunclassified

Coastline modification at worldwide

Alcivar

Mero

Navarrete

et al. 2021

manglar

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La presente indagación bibliográfica pretende sintetizar información de las bases de reseñas de actividades científicas referente a la dinámica de la morfología de los acantilados a nivel mundial, mediante la recopilación de datos como: referencia bibliográfica, ubicación geográfica, método utilizado en la obtención de la tasa de retroceso, tipos de suelos que reflejan factores intrínsecos como las características físico-mecánicas, mineralógicas, geológicas y geomorfológicas, y factores extrínsecos entre los que podemos citar precipitaciones, clima, fuerza de los vientos, temperatura, acciones químicas del medio ambiente y en especial el cambio climático, que intervienen en la modificación de los acantilados de la línea de costa como consecuencias de erosiones sucesivas y deslizamientos. De la información recabada se obtuvo detalles de cinco países europeos, tres asiáticos, tres africanos, siete de América Latina y uno de Oceanía cuyos datos se encuentran plasmados en POWER ArcGIS. Concluyendo que el continente europeo tiene más información porque posee un sistema de satélites que es controlado por un programa

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GIS-based landslide susceptibility mapping in the Safi region, West Morocco

Cited by 27 publications

References 63 publications

Landslide susceptibility assessment based on improved frequency ratio and XGBoost integrated model: a case study of Yingshan County

Landslide susceptibility assessment based on improved frequency ratio and XGBoost integrated model: a case study of Yingshan County

Comment on nhess-2021-16

Coastline modification at worldwide

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