GIS-Based Landslide Susceptibility Mapping Using Frequency Ratio and Shannon Entropy Models in Dejen District, Northwestern Ethiopia

Addis, Abinet

doi:10.1155/2023/1062388

Cited by 20 publications

(14 citation statements)

References 60 publications

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“…The assumption of this method is that a probability of landslide occurrence is higher where frequency ratio of past landslide is high as opposed to non-occurrence for a given factor in a specific area (Abinet, 2023). Application of this method demonstrated that the success rate is slightly higher (76%) than the prediction rate (75%) and it is a simple, reliable and effective model for landslide susceptibility mapping.…”

Section: General Approach Data and Methodsmentioning

confidence: 99%

Landslide Susceptibility Assessment in Nuwakot: An Examination of Methods to Mapping

Shrestha

2024

Unity Jnl

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The highest re-occurring hazard incident in Nepal in 2022 is reported to be fi re and landslides. A comprehensive study on understanding and identifying landslide susceptible areas and planning accordingly is perhaps one approach to disaster preparedness. In this context, landslide susceptibility assessment (LSA), plays a key role as a preparedness and mitigation tool at the local level. Landslide susceptibility, theoretically, denotes a geographic location of potential reoccurrence of landslide in an area based on several causative factors. I have conducted this study to explore landslide occurrence in Nepal based on secondary data, and map landslide susceptibility in Nuwakot district by using spatial multi-criteria analysis, SMCA and frequency ratio (FR) method. Then, I have evaluated the results which will support preliminary landslide risk level identification at the local level. Existing secondary data and landslide inventory extracted using satellite imageries were major data sources. Landslides in Nuwakot are concentrated within the range of 1000-1500-meter elevation of 15-25-degree convex slope with gneisses/schists formation. A result using SCMA methodology shows 47% area of Nuwakot under landslide susceptibility, of which 13.6% is highly susceptible whereas FR method resulted 27% area under high susceptible zone. The variation in susceptibility level and area between SCMA and FR methods can be attributed to differential calculated weight factor to geological factors, such as fault, lineament, and lithology. This study concludes that irrespective of methods adopted, landslide susceptibility maps and output data provide useful tools for landslide hazard risk identification and management. The necessity of robust and commonly applicable guidelines at different geographic scales is also obvious.

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Section: General Approach Data and Methodsmentioning

confidence: 99%

Landslide Susceptibility Assessment in Nuwakot: An Examination of Methods to Mapping

Shrestha

2024

Unity Jnl

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“…There have been many studies that use GIS to map and study disaster occurrence, especially in landslide events. For instance, [14] carried out a GIS-based study to map areas of landslide susceptibility in the Dejen District, Northwestern Ethiopia. In addition, a separate study employed a Geographical Information System (GIS) methodology to delineate the susceptibility of landslides in the Portofino promontory, a region in the Mediterranean that experiences regular occurrence of heavy precipitation, leading to the frequent event of shallow landslides [15].…”

Section: Geographical Information Systems Mappingmentioning

confidence: 99%

Mapping landslide events at Cameron Highlands, Malaysia in relation to land use, rainfall and elevation using Geographical Information System

Abidin,

Mahamud,

Abdullah

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The Cameron Highlands as the name implies is subjected to high landslide vulnerability due to its geographical location in a hilly area. The principal factors contributing to the landslide events in Cameron Highlands have been identified as heavy rainfall and substantial land use changes, which include infrastructural development and agricultural practices. Thus, there is a need to map the landslide events that occurred in Cameron Highlands using Geographical Information Systems concerning rainfall, land use and elevation. The relevant data were collected from the Department of Irrigation and Drainage Malaysia, the Department of Town and Country Planning Malaysia, and the Public Works Department Malaysia. Based on the findings, with the average annual rainfall exceeding 2,687mm, massive agricultural activities on hilly terrain and infrastructure development along the main road, confirmed the occurrence of landslide events in Cameron Highlands. In addition, most of the landslide events occur at an elevation of more than 1,800m above sea level. By knowing the respective locations of previous landslide events, local authorities will be able to take earlier precautions in mitigating and planning future development related to agricultural activities and infrastructure besides providing early warning and useful information to the public at large.

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“…In the recent years the frequency and magnitude of landslides damages are increased on the hilly terrains of Ethiopia due to the result of continuous disturbances by human activities such as the expansion of built up and agricultural areas, poor road construction, and deforestation (Meten et al 2015, Mersha and Meten, 2020, Wubalem and Meten, 2020, Wubalem 2021. For instance, the previous studies indicated that rainfall triggered landslides have killed 896 people, injured 543 people, displaced 7551 households, damaged 3452 dwellings, and affected a widely cultivated and non-cultivated lands and infrastructures in different parts of the country (Ayalew 1999;Temesgen et al 1999;Woldearegay 2008, Ibrahim 2011 (landslide assessment andhazard zonation in Mersa andWurgessa, North Wollo, Ethiopia, unpublished), Meten et al 2015, Mersha and Meten, 2020, Wubalem and Meten, 2020, Wubalem, 2021, Addis 2023. The landslides in these areas are affecting human lives, infrastructures, agricultural lands and the natural environment.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the Ethiopian landslides are commonly triggered by heavy seasonal rainfall and earthquake activities and caused significant damage to infrastructures and properties and loss of human and animal lives in its highland areas which is defined by high relief, complex geology, high rainfall, rugged morphology, very deep valleys and gorges with active river incision (Ayalew 1999, Temesgen et al 2001Abebe et al 2010;Woldearegay 2013, Wubalem and Meten 2020, Mersha and Meten 2020, Addis, 2023.…”

Section: Introductionmentioning

confidence: 99%

Landslide Susceptibility Mapping Using Information Value Model with GIS in Wegeda Area, Northwestern Ethiopia

Mersha

2024

Preprint

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The geological and physiographical conditions have made Guna Mountain one of the area’s most vulnerable to disaster since it is a part of the northwestern highlands of Ethiopia. Parts of the Wegeda area are characterized by weathered volcanic rocks, rugged morphology with deeply incised gorges, heavy rainfall, and active surface processes. Many landslide events are frequently occurring in the studied area, mostly triggered by heavy seasonal rainfall and human activity, causing deaths and severe infrastructure damage to the local people. In this study, Information Value (IV) Model was applied to evaluate the landslide causative factors and generate a landslide susceptibility map (LSM). To do this, intensive fieldwork and Google Earth image interpretations were done on active and passive landslide scarps and produced a reliable landslide inventory map. These landslide locations were randomly divided into 80% training and 20% validation datasets. Seven landslide governing factors were combined with a training dataset using GIS tools to generate the LSM of the study area. Then the area was divided into five landslide susceptibility classes: very low, low, moderate, high, and very high. Later, the resulting map has been validated by using the area under the curve (AUC) and landslide density index methods for both the training and validation landslide datasets. According to the AUC graph, the IV model had a success rate and a predictive rate value of 82.4% and 78.3% respectively. This indicated that the produced LSM showed reasonable performance. Finally, the LSM produced by the IV model can be used by decision-makers for land use planning and landslide mitigation purpose.

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GIS-Based Landslide Susceptibility Mapping Using Frequency Ratio and Shannon Entropy Models in Dejen District, Northwestern Ethiopia

Cited by 20 publications

References 60 publications

Landslide Susceptibility Assessment in Nuwakot: An Examination of Methods to Mapping

Landslide Susceptibility Assessment in Nuwakot: An Examination of Methods to Mapping

Mapping landslide events at Cameron Highlands, Malaysia in relation to land use, rainfall and elevation using Geographical Information System

Landslide Susceptibility Mapping Using Information Value Model with GIS in Wegeda Area, Northwestern Ethiopia

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