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, Sheela Bhuvanendran; Sumi, Anita Saji; Balaji, S.; Danumah, Jean Homian; Costache, Romulus; Rajaneesh, A.; Gokul, Ajayakumar; Chandrasenan, Chandini Padmanabhapanicker; Quevedo, Renata Pacheco; Johny, Alfred; Sajinkumar, K.S.; Saha, Sunil; Ajin, R. S.; Mammen, Pratheesh C.; Abdelrahman, Kamal; Fnais, Mohammed S.; Abioui, Mohamed

doi:10.3390/land12020468

Cited by 18 publications

(9 citation statements)

References 158 publications

(186 reference statements)

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“…The analytic Hierarchy Process (AHP) method is a reliable, rigorous, and robust method widely used for determining indicator weights [56][57][58]. The hybrid approach used by combining AHP with common weighting methods requires less expert judgment than the AHP method, providing more accurate rankings and weighting [59].…”

Section: Indicator Weight Calculationmentioning

confidence: 99%

Spatiotemporal Pattern and Driving Mechanism of Cultivated Land Use Transition in China

Jiang,

Chen,

Sun

et al. 2023

Land

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In the past 20 years, the global economy has undergone tremendous changes with rapid industrialization and urbanization. Cultivated land is an important spatial carrier for human production and life, and its use pattern also changes with socioeconomic development. Natural, economic, social, and policy factors jointly drive the cultivated land use transition (CLUT). However, the spatiotemporal pattern and evolution characteristics of the CLUT at the national scale have not yet been clarified in China. Factors that play a leading role in the transition are also unclear. To this end, this paper explores the spatiotemporal evolution characteristics of the CLUT at a national scale and analyzes the main drivers and spatial differentiation rules of the transition based on relevant data from 31 provincial units on the Chinese mainland from 2000 to 2019. The results show that: (1) The CLUT in China from 2000 to 2019 had obvious stage characteristics. (2) The coordination degree of the CLUT was enhanced overall. Areas with a higher degree of coordination presented a spatial distribution pattern of small agglomeration and large dispersion, while low-level areas were distributed in spots. (3) Different drivers had various effects on the CLUT. The topography played an inhibitory role in the transition, and its influence showed obvious differences between the east and west regions. The effect of the construction land demand index shifted from inhibition to promotion, while the effects of the gross agricultural economic output and the total power of agricultural machinery in the transition were insignificant.

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Section: Indicator Weight Calculationmentioning

confidence: 99%

Spatiotemporal Pattern and Driving Mechanism of Cultivated Land Use Transition in China

Jiang,

Chen,

Sun

et al. 2023

Land

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“…A total of 52 collapses were identified in this study using available information (Figure 8). According to statistics, nearly half of the collapse disaster potential sites (20) in the study area have formed multiple mountain-cut slopes due to the construction of roads and the intense folk mining activities in and around the chert and limestone quarries.…”

Section: Collapse Inventorymentioning

confidence: 99%

“…At present, great progress has been made in the work of collapse disaster risk evaluation, which mainly consists of three major categories: qualitative analysis, quantitative analysis, and a combination of both [14][15][16][17][18][19]. The analytical hierarchy process (AHP) is a more widely used method for qualitative analysis of collapse disaster risk evaluation [18,20,21], which is a multi-objective decision-making method with a high degree of subjectivity for determining the degree of contribution of each collapse indicator to collapse risk. Quantitative analysis is a method of analysing problems using mathematical models, which takes objective data as input and applies tools such as mathematical and statistical analysis to calculate the results and analyse them, such as the information content method (ICM) [22], frequency ratio method (FRM) [17,23], entropy weight method (EWM) [24], and logistic regression (LR) [25,26].…”

Section: Introductionmentioning

confidence: 99%

Application of AHP-ICM and AHP-EWM in Collapse Disaster Risk Mapping in Huinan County

Lu,

Yu,

Liu

et al. 2023

IJGI

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Collapses are one of the most common geological disasters in mountainous areas, which easily damage buildings and infrastructures and bring huge property losses to people’s production and life. This paper uses Huinan County as the study area, and with the help of a geographic information system (GIS) based on the formation principle of natural disaster risk, the information content method (ICM), the analytical hierarchy process (AHP), and the analytical hierarchy process–information content method (AHP-ICM) model are applied to hazard mapping, and the analytical hierarchy process-entropy weight method (AHP-EWM) model is applied to exposure, vulnerability and emergency responses, and recovery capability mapping. A risk mapping model for collapse disasters was also constructed using these four elements. Firstly, an inventory map of 52 landslides was compiled using remote sensing interpretation, field verification, and comprehensive previous survey data. Then, the study area mapping units were delineated using the curvature watershed method in the slope unit, and 21 indicators were used to draw the collapse disaster risk zoning map by considering the four elements of geological disaster risk. The prediction accuracy of the three hazard mapping models was verified using the receiver operating characteristic (ROC) curve, and the area under the curve (AUC) results of the AHP, ICM, and AHP-ICM models were 80%, 85.7%, and 87.4%, respectively. After a comprehensive comparison, the AHP-ICM model is the best of the three models in terms of collapse hazard mapping, and it was applied to collapse risk mapping with the AHP-EWM model to produce a reasonable and reliable collapse risk zoning map, which provides a basis for collapse management and decision making.

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“…Various estimation methods have been applied to evaluate the GWPZ. These methods include single-factor analysis (Xin-feng et al 2012), multi-influence factor techniques (Nasir et al 2021), fuzzy clustering (Tükel et al 2021), brittle rock proportion (Singaraja et al 2015), Fuzzy-AHP indices (e.g., Rajasekhar et al 2019;Echogdali et al 2022a;Sinha et al 2023;Bhagya et al 2023) and GIS information fusion (Arnous et al 2020). In this particular study, the delineation of GWPZs is conducted using the analytic hierarchy process (AHP) (Saaty 1989) and RS-GIS methods.…”

Section: Introductionmentioning

confidence: 99%

Integrating remote sensing, GIS-based, and AHP techniques to delineate groundwater potential zones in the Moulouya Basin, North-East Morocco

Hilal,

Qurtobi,

Saadi

et al. 2024

Appl Water Sci

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Groundwater is a valuable shared resource in the Moulouya Basin, but it has been in decline due to recent years of low rainfall and rapid population growth. To support socio-economic development, there is increased demand for this precious resource. This paper presents a standard methodology for delimiting potential groundwater zones using geographic information systems (GIS), an integrated analytical hierarchy process (AHP), and remote sensing techniques. Seven parameters that monitor the presence and mobility of groundwater, including drainage density, lithology, slope, precipitation, land use/land cover, distance to river, and lineament density, were incorporated into a raster data model using ArcGIS software. AHP-based expert knowledge was used to prepare a groundwater potential index and assign weights to the thematic layers. The study classified the area into five zones of varying groundwater potential: very high (26%), high (51%), moderate (13%), poor (9%), and very poor (1%). The accuracy of the model was validated by comparing the Groundwater Potential Zones map with data from 96 wells and boreholes across the basin. The validity of the results was confirmed by comparing them with the specific yield of the aquifer in the study area, yielding a high correlation coefficient (R2) of 0.79. The analysis revealed that 89.5% of the boreholes were situated in the high and very high potential zones, demonstrating the reliability and robustness of the employed approach. These findings can aid decision-making and planning for sustainable groundwater use in the water-stressed region.

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

Cited by 18 publications

References 158 publications

Spatiotemporal Pattern and Driving Mechanism of Cultivated Land Use Transition in China

Spatiotemporal Pattern and Driving Mechanism of Cultivated Land Use Transition in China

Application of AHP-ICM and AHP-EWM in Collapse Disaster Risk Mapping in Huinan County

Integrating remote sensing, GIS-based, and AHP techniques to delineate groundwater potential zones in the Moulouya Basin, North-East Morocco

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