Assessing classification system for landslide susceptibility using frequency ratio, analytical hierarchical process and geospatial technology mapping in Aizawl district, NE India

Advances in Space Research, Год журнала: 2024, Номер 74(3), С. 1197 - 1224

Опубликована: Май 10, 2024

Язык: Английский

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Comparing the effectiveness of landslide susceptibility mapping by using the Frequency ratio and hybrid MCDM models

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103205 - 103205

Опубликована: Окт. 1, 2024

Язык: Английский

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Geospatial Assessment and Mapping Landslide Susceptibility for the Garo Hills Division, Meghalaya, India

Geological Journal, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

ABSTRACT Creating accurate and effective Landslide Susceptibility (LS) maps can aid disaster prevention mitigation efforts provide sufficient public safety. The primary aim of this study is to develop an LS map for the Garo Hills region in Meghalaya, India, using weight evidence (WoE), frequency ratio (FR), Shannon entropy (SE) methods. A comprehensive landslide inventory catalogued 98 events from 2000 2023 analysis, nine key geographical environmental parameters were prepared. Conducted multicollinearity correlation analysis identify mitigate collinearity issues between factors. model's performance was analysed through area under curve (AUC) value receiver operating characteristic (ROC) curves three recent landslides. results showed that FR method achieved highest accuracy, with successive rate (SRC) AUC predictive (PRC) values 0.860 0.940, respectively, classified susceptibility at sites as high, moderate, low. WoE effectively identified landslides site high very zones, achieving SRC PRC 0.844 0.915, respectively. SE robust predicting landslide‐prone areas, comparable other methods (0.913), though its (0.771) lower. Developed revealed zones account approximately 10% 3% area, predominantly near roads, steep slopes, higher elevations. information valuable civilians government authorities involved hazard monitoring management.

Язык: Английский

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Landslide susceptibility assessment in Tongguan District Anhui China using information value and certainty factor models

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 10, 2025

The study of susceptibility to geological hazards is crucial not only for local risk assessment but also understanding global patterns in disaster-prone regions. Geological such as landslides and subsidence are a common threat worldwide, affecting millions people causing significant economic losses annually. Landslides major hazard the Tongling City, Tongguan District, Anhui, China, posing risks infrastructure human activity. This assesses using seven influencing factors, including elevation, slope, aspect, distance faults. Both information value certainty factor (CF) models were applied evaluate region's landslide susceptibility, resulting classification area into five levels. While primary focus, ground collapses observed, though much lesser extent. focuses on interest District. found that: (1) predominantly concentrated within 300 m faults along cut slopes adjacent mountain roads buildings. distribution indicates that both construction activities factors contributing frequent occurrence region; (2) proportion classified high-prone City significant, indicating need focused mitigation efforts. (3) CF can effectively region. under curve (AUC) receiver operating characteristic (ROC) curves used models' performance, with model demonstrating superior evaluation accuracy. emphasizes areas District susceptible landslides, offering critical insights strategies decision-making prevention, treatment, emergency response regions similar conditions.

Язык: Английский

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Landslide vulnerability mapping using GIS-based statistical model for sustainable ecosystem management in the Himalayan region of Teesta River basin, India

Environmental Sciences Europe, Год журнала: 2025, Номер 37(1)

Опубликована: Апрель 22, 2025

Язык: Английский

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Least cost path analysis for alternative road network assessment of landslide-prone NH-2, Mizoram, NE India

Geocarto International, Год журнала: 2025, Номер 40(1)

Опубликована: Апрель 25, 2025

Язык: Английский

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The TOPSIS Method: Figuring the landslide susceptibility using Excel and GIS

MethodsX, Год журнала: 2024, Номер 13, С. 103005 - 103005

Опубликована: Окт. 17, 2024

Язык: Английский

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Multi-hazard susceptibility mapping of landslides and earthquakes in Bhagirathi Valley region of Uttarakhand Himalaya, India

Journal of Spatial Science, Год журнала: 2024, Номер unknown, С. 1 - 26

Опубликована: Окт. 1, 2024

Язык: Английский

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