Testing the performances of different fuzzy overlay methods in GIS-based landslide susceptibility mapping of Udi Province, SE Nigeria

CATENA, Journal Year: 2022, Volume and Issue: 220, P. 106654 - 106654

Published: Sept. 28, 2022

Language: Английский

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GIS-based landslide susceptibility mapping of Western Rwanda: an integrated artificial neural network, frequency ratio, and Shannon entropy approach

Environmental Earth Sciences, Journal Year: 2023, Volume and Issue: 82(19)

Published: Aug. 31, 2023

Language: Английский

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Irrigation suitability and health risk assessment of groundwater resources in the Firozabad industrial area of north-central India: An integrated indexical, statistical, and geospatial approach

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 11

Published: March 15, 2023

The recent global upsurge in anthropogenic activities has resulted a decline the quality of water. This by extension increased ubiquity water pollution terms sources. application traditional assessment methods usually involves use conventional parameters and guideline values. may be associated with bias errors during computation various sub-indices. Hence, to overcome this limitation, it is critical have visual appraisal source human health risks exposure for sustainable resource management informed decision-making. Therefore, present study integrated multiple indices, spatio-temporal, statistical models assess suitability fifty groundwater samples (n = 50) within Firozabad industrial area irrigation drinking; as well likely from oral intake dermal contact inhabitants. Electrical conductivity (mean 1,576.6 μs/cm), total hardness 230.9 mg/L), dissolved sodium 305.1 mg/L) chloride 306.1 fluoride 1.52 occurred at concentrations above recommended standards; attributed influxes agricultural wastewater. index revealed that 100% are extremely polluted; was also supported joint multivariate analyses. majority irrigational indices (sodium adsorption ratio, Kelly’s Ratio, permeability index, percent sodium) long-term will result reduced crop yield unless remedial measures put place. Higher Hazard (HI > 1) nitrate ingestion recorded children population compared adult; an indication more predisposed Generally, risk levels appear increase western north-eastern parts area. From findings study, highly adequate practices, land use, treatment regulatory strategies place sustainability enhanced production protection.

Language: Английский

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Riverbank Erosion and vulnerability – A study on the char dwellers of Assam, India

Natural Hazards Research, Journal Year: 2023, Volume and Issue: 4(2), P. 274 - 287

Published: Nov. 11, 2023

The paper tries to analyze the impacts of erosion on livelihood and vulnerability statusof char dwellers Assam, India. study employs both quantitative qualitative methodologies, choosing one district from each Assam's agro-climatic zones across Brahmaputra valley as a representative state's regions. As tool, uses participatory rural appraisal (PRA) technique tool Vulnerability Uninsured Exposure Risk (VER) econometric model.394 households were surveyed through semi-structured schedule. For village selected for study, combined social-resource map was created using PRA method in order determine severity issue VER model is used empirically examine relationship between land well-being inhabitants. reveals that has serious, detrimental economic residents thereby make vulnerable. makes recommendations structural non-structural adaptation practices minimize effects livelihood.

Language: Английский

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Using barometric response functions to estimate unconfined aquifer permeability changes caused by landslide: A case study in southwest China

Engineering Geology, Journal Year: 2025, Volume and Issue: unknown, P. 107950 - 107950

Published: Feb. 1, 2025

Language: Английский

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Pixel-Wise Feature Fusion in Gully Susceptibility: A Comparison of Feed-Forward Neural Networks and Ensemble (Voting, Stacking) Models

Journal of African Earth Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 105633 - 105633

Published: March 1, 2025

Language: Английский

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Geospatial assessment of landslide-prone areas in the southern part of Anambra State, Nigeria using classical statistical models

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(7)

Published: March 30, 2024

Language: Английский

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Rainfall-Induced Landslides from Initialization to Post-Failure Flows: Stochastic Analysis with Machine Learning

Mathematics, Journal Year: 2022, Volume and Issue: 10(23), P. 4426 - 4426

Published: Nov. 24, 2022

Rainfall-induced landslides represent a severe hazard around the world due to their sudden occurrence, as well widespread influence and runout distance. Considering spatial variability of soil, stochastic analysis is often conducted give probability description runout. However, rainfall-induced are complex time-consuming for brute-force Monte Carlo analyses. Therefore, new methods required improve efficiency analysis. This paper presents framework investigate distance with two-step simulation approach. The complete process, from initialization instability post-failure flow, simulated. rainfall infiltration process first solved coupled hydro-mechanical finite element model. flow simulated using Eulerian–Lagrangian method, wherein soil can freely in fixed Eulerian meshes. An equivalent-strength method used connect two steps by considering effective stress unsaturated soil. A rigorous has been developed accurately quantify via Several simulations have produced, three-dimensional analyses study shapes slopes consider uncertainty soils. It was found that two-dimensional assuming plain strain generally conservative safe design, but care must be taken interpret 2D results when slope convex longitudinal direction. soils lead statistic machine-learning models surrogate this problem greatly reduce computational effort.

Language: Английский

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Multidimensional characterization of problematic soils linked to foundation and building failures in parts of Southeast Nigeria

Modeling Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 10(3), P. 4101 - 4127

Published: April 17, 2024

Language: Английский

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Geospatial analysis of factors driving gully erosion: a case study from Southeastern Nigeria

Natural Hazards, Journal Year: 2023, Volume and Issue: 117(3), P. 2903 - 2933

Published: April 18, 2023

Language: Английский

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