Multiple indicators-based assessment of rural food security status in landslide-prone areas of Southern Ethiopia DOI Creative Commons
Lemma Tadesse, Abera Uncha Utallo, Thomas Toma Tora

et al.

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: June 5, 2024

Abstract Landslide hazards significantly threaten rural communities, impacting various aspects of livelihoods, including food security. The Gamo Highlands in southern Ethiopia is vulnerable to landslide hazards. Therefore, this research aims investigate the effect on households’ security status Gacho Baba district, Highlands, Ethiopia. study employed a mixed approach, collect and analyze data collected from 289 households, community leaders, early warning experts. Purposive multistage sampling techniques were deployed. Both descriptive inferential statistics used data. Household Food Insecurity Access Scale (HFIAS), Consumption Score (FCS), Reducing Coping Strategies Index (RCSI) in/security indicators used. HFIAS reveals significant worries regarding stable access availability food, with 62% sample households categorized as mildly, moderately, severely food-insecure. FCS indicates prevalent challenges achieving adequate consumption levels among surveyed portion falling into poor category (51.3%). while investigation coping strategies using RCSI (53.3%) samples high strategies. also varying awareness preparedness proportion expressing uncertainty about occurrence prevention mechanisms. findings underscore need for targeted educational initiatives, well comprehensive risk reduction strategies, enhance household resilience safeguard landslide-prone areas.

Language: Английский

Landslide susceptibility assessment in Addi Arkay, Ethiopia using GIS, remote sensing, and AHP DOI Creative Commons

Likinaw Mengstie,

Assayew Nebere,

Muralitharan Jothimani

et al.

Quaternary Science Advances, Journal Year: 2024, Volume and Issue: 15, P. 100217 - 100217

Published: July 9, 2024

Landslides account for the breakdown of natural topographies, impacting many mountainous areas and leading to loss lives damaged infrastructure. This research aims generate a reliable landslide susceptibility zonation map employing geospatial Analytical Hierarchy Processes (AHP) in Addi Arkay Woreda, North Gondar Zone, Amhara Regional State, northern Ethiopia. The present study uses remote sensing data, geographic information system (GIS) tools, AHP, weighted linear combination (WLC) models analyze multiple environmental variables, including slope, aspect, curvature, lithology, soil texture, topographic wetness index (TWI), rainfall. As per results, around 186.12 km2 (13.26%) total area is under very high 140.85 (10.05%) low susceptibility. Using Google Earth images inaccessible areas, 121 inventories were identified through fieldwork. Of these inventories, 85 used train model 36 testing. performance AHP was validated by Receiver Operating Characteristics (ROC) curve (0.75), which indicates good predictive accuracy identifying landslide-prone areas. These findings are essential regional land use planning, hazard mitigation, prevention efforts. Additionally, this contributes scientific understanding dynamics Northwestern highlands Ethiopia offers methodological framework that can be applied other regions with similar geological climatic conditions.

Language: Английский

Citations

9
Integration of geospatial analysis, frequency ratio, and analytical hierarchy process for landslide susceptibility assessment in the maze catchment, omo valley, southern Ethiopia DOI Creative Commons

Obse Kebeba,

Leulalem Shano,

Yadeta Chemdesa

et al.

Quaternary Science Advances, Journal Year: 2024, Volume and Issue: 15, P. 100203 - 100203

Published: June 7, 2024

This investigation was conducted in southern Ethiopia's Maze watershed the Omo River Valley. Frequency ratio (FR) and analytic hierarchy process (AHP) techniques were used to assess landslide susceptibility region. Identifying causative components inventory data achieved goal. Remote sensing on-site investigations found 793 polygons. To vulnerability, information is categorized into two groups: training dataset (70%) validation (30%). study examined "slope, aspect, curvature, lithology, land use cover, normalized vegetation index, proximity fault lines, rivers, distance road as controlling factors". The spatial analysis capabilities Arc GIS overlay weights of all landslide-causing create map. A final map produced using FR AHP methods "very low," "low," "moderate," "high," high." frequency method divides region classes by frequency. very low, medium, high, high groups cover 25%, 20%, 18%, 19% territory. analytical hierarchical technique shows that 3%, 7%, 26%, 36%, 28% area are moderate, susceptibility. receiver operating characteristic curve employed validate area-underlayer maps. success rates determined approaches, resulting AUC numbers 0.873 0.87. Similarly, prediction be 0.81 0.80. maps will significantly influence resource allocation.

Language: Английский

Citations

8
Effects of landslide hazards on the livelihood strategies of rural households in Gamo Highlands, Southern Ethiopia DOI Creative Commons
Lemma Tadesse, Abera Uncha Utallo, Thomas Toma Tora

et al.

Geoenvironmental Disasters, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 17, 2025

Language: Английский

Citations

0
An expert-based assessment of early warning systems effectiveness in South Ethiopia Regional State DOI Creative Commons
Thomas Toma Tora,

Lemma Tadesse Andarge,

Adefris Tefera Abebe

et al.

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: March 21, 2025

Language: Английский

Citations

0
Combined GIS, FR and AHP Approaches to Landslide Susceptibility and Risk Zonation in the Baso Liben District, Northwestern Ethiopia DOI Creative Commons

Biniyam Taye Alamrew,

Tibebu Kassawmar,

Likinaw Mengstie

et al.

Quaternary Science Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100250 - 100250

Published: Oct. 1, 2024

Language: Английский

Citations

2
Spatial Analysis of Landslide Hazard Vulnerability Using Decision Support System in the Sile-Sago Watershed, Lake Chamo Rift Valley Basin, Ethiopia. DOI Creative Commons
Atalay Ayele,

Abiyot Legesse Tura,

Abera Uncha Utallo

et al.

Environmental Challenges, Journal Year: 2024, Volume and Issue: unknown, P. 101057 - 101057

Published: Dec. 1, 2024

Language: Английский

Citations

2
Exploring uncertainty analysis in GIS-based Landslide susceptibility mapping models using machine learning in the Darjeeling Himalayas DOI
Sumon Dey, Swarup Das, Abhik Saha

et al.

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 14, 2024

Language: Английский

Citations

1
Multiple indicators-based assessment of rural food security status in landslide-prone areas of Southern Ethiopia DOI Creative Commons
Lemma Tadesse, Abera Uncha Utallo, Thomas Toma Tora

et al.

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: June 5, 2024

Abstract Landslide hazards significantly threaten rural communities, impacting various aspects of livelihoods, including food security. The Gamo Highlands in southern Ethiopia is vulnerable to landslide hazards. Therefore, this research aims investigate the effect on households’ security status Gacho Baba district, Highlands, Ethiopia. study employed a mixed approach, collect and analyze data collected from 289 households, community leaders, early warning experts. Purposive multistage sampling techniques were deployed. Both descriptive inferential statistics used data. Household Food Insecurity Access Scale (HFIAS), Consumption Score (FCS), Reducing Coping Strategies Index (RCSI) in/security indicators used. HFIAS reveals significant worries regarding stable access availability food, with 62% sample households categorized as mildly, moderately, severely food-insecure. FCS indicates prevalent challenges achieving adequate consumption levels among surveyed portion falling into poor category (51.3%). while investigation coping strategies using RCSI (53.3%) samples high strategies. also varying awareness preparedness proportion expressing uncertainty about occurrence prevention mechanisms. findings underscore need for targeted educational initiatives, well comprehensive risk reduction strategies, enhance household resilience safeguard landslide-prone areas.

Language: Английский

Citations

1