Relations Between Soil Development and Landslides

Temme, A.J.A.M.

doi:10.1002/9781119563952.ch9

Cited by 8 publications

(1 citation statement)

References 51 publications

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“…[58] also found higher incidences on clayey soil. The increase in water content in clay resulting from the percolation of rainfall can reduce its stability (increase stress and decrease strength) [134,135]. Similar to the findings of this study, Khan et al [133] found higher landslide incidences (66.51%) on barren land, and Thomas et al [17] observed higher incidences (56.19%) on plantation areas.…”

Section: Validation Of the Mapssupporting

confidence: 83%

Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps

Bhagya

Sumi

Balaji

et al. 2023

Land

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Landslides are prevalent in the Western Ghats, and the incidences that happened in 2021 in the Koottickal area of the Kottayam district (Western Ghats) resulted in the loss of 10 lives. The objectives of this study are to assess the landslide susceptibility of the high-range local self-governments (LSGs) in the Kottayam district using the analytical hierarchy process (AHP) and fuzzy-AHP (F-AHP) models and to compare the performance of existing landslide susceptible maps. This area never witnessed any massive landslides of this dimension, which warrants the necessity of relooking into the existing landslide-susceptible models. For AHP and F-AHP modeling, ten conditioning factors were selected: slope, soil texture, land use/land cover (LULC), geomorphology, road buffer, lithology, and satellite image-derived indices such as the normalized difference road landslide index (NDRLI), the normalized difference water index (NDWI), the normalized burn ratio (NBR), and the soil-adjusted vegetation index (SAVI). The landslide-susceptible zones were categorized into three: low, moderate, and high. The validation of the maps created using the receiver operating characteristic (ROC) technique ascertained the performances of the AHP, F-AHP, and TISSA maps as excellent, with an area under the ROC curve (AUC) value above 0.80, and the NCESS map as acceptable, with an AUC value above 0.70. Though the difference is negligible, the map prepared using the TISSA model has better performance (AUC = 0.889) than the F-AHP (AUC = 0.872), AHP (AUC = 0.867), and NCESS (AUC = 0.789) models. The validation of maps employing other matrices such as accuracy, mean absolute error (MAE), and root mean square error (RMSE) also confirmed that the TISSA model (0.869, 0.226, and 0.122, respectively) has better performance, followed by the F-AHP (0.856, 0.243, and 0.147, respectively), AHP (0.855, 0.249, and 0.159, respectively), and NCESS (0.770, 0.309, and 0.177, respectively) models. The most landslide-inducing factors in this area that were identified through this study are slope, soil texture, LULC, geomorphology, and NDRLI. Koottickal, Poonjar-Thekkekara, Moonnilavu, Thalanad, and Koruthodu are the LSGs that are highly susceptible to landslides. The identification of landslide-susceptible areas using diversified techniques will aid decision-makers in identifying critical infrastructure at risk and alternate routes for emergency evacuation of people to safer terrain during an exigency.

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Section: Validation Of the Mapssupporting

confidence: 83%

Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps

Bhagya

Sumi

Balaji

et al. 2023

Land

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Where Are We and Where Are We Going? Pedogenesis Through Chemical Weathering, Hydrologic Fluxes, and Bioturbation

Hunt

Egli

Faybishenko

2021

Hydrogeology, Chemical Weathering, and Soil Formation

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A review of the status of fundamental research into soil genesis and development is given, together with a discussion of the outstanding problems from various perspectives, such as the geological, hydrological, and soil ecological points of view. The urgency of understanding what soil is, how it forms and evolves, relates fundamentally to its connection with the cycling of water and those elements of deep significance to biology, e.g. carbon, nitrogen, and phosphorus, as well as to the uptake and fate of the (mostly) solar energy input. The coupling is inherent in the close relationships between soil genesis and the formative process of chemical weathering, together with its abiotic drawdown of atmospheric carbon, as well as the relationship between soil evolution and the biological processes that change the soil. Each of these phases links soils to the atmospheric carbon composition and the Earth's climate system. More recently, the link between soil formation and Earth's water cycle has become clearer with the recognition that field weathering rates are more likely flux-limited (water, organic acids, and reaction products) than kinetics-limited. While a link between water and CO2 drawdown appears explicit in the photosynthetic reaction, the relationship between plant productivity and transpiration fundamentally links water and cycling of elements such as carbon, nitrogen, and phosphorus. The summary is intended to place the works of the present book into the context of present research efforts and future goals.

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Spatial variations of landslide severity with respect to meteorological and soil related factors

Dutta,

Poddar,

Middya

et al. 2024

Nat Hazards

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Relations Between Soil Development and Landslides

Cited by 8 publications

References 51 publications

Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps

Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps

Where Are We and Where Are We Going? Pedogenesis Through Chemical Weathering, Hydrologic Fluxes, and Bioturbation

Spatial variations of landslide severity with respect to meteorological and soil related factors

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