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Erosion susceptibility mapping of a loess-covered region using Analytic Hierarchy Process – A case study

Kalat-e-Naderi, northeast Iran

Dados Bibliográficos

ID21882997
AutoresFatemeh Nooshin Nokhandan (Eötvös Loránd University), Kaveh Ghahraman (0000-0002-6967-923X, Eötvös Loránd University), Erzsébet Horváth (0000-0002-0197-4152, Eötvös Loránd University)
Ano2024
Volume72
Fascículo4
Páginas339-364
Data de publicação2024-01-12
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoHungarian Geographical Bulletin (JOURNAL)
Identificadores do periódicoISSN: 2064-5031 • E-ISSN: 2064-5147
EditoraResearch Centre for Astronomy and Earth Sciences (PUBLISHER)
DOI10.15201/hungeobull.72.4.2
OpenAlexW4390828418
IdiomaEN
Referências citadas94

In this study, the Analytic Hierarchy Process (AHP) is applied to generate erosion susceptibility maps in four basins of Kalat-e-Naderi county, namely Archangan, Kalat, Qaratigan, and Chahchaheh basins, situated in northeast Iran. The Kalat-e-Naderi region is characterized by a partial coverage of loess. Given the agricultural significance of loess and its susceptibility to erosion, this research focuses specifically on regions covered by loess. Geographic Information System (GIS) tools, including ArcMap and Quantum Geographic Information System (QGIS), were utilized to facilitate the creation of erosion susceptibility maps. Seven factors, including slope, aspect, elevation, drainage density, lithology, the Normalized Difference Vegetation Index (NDVI), and precipitation were selected for consideration. Recognizing the variability of precipitation and vegetation cover across different seasons, seasonal data for the specified factors were employed. Consequently, erosion susceptibility maps were generated on a seasonal basis. Pairwise comparison tables revealed that precipitation, lithology, and slope emerged as the dominant factors contributing to erosion susceptibility in this region. The resultant maps distinctly delineate basins with higher precipitation values, unresistant lithology (such as loess, characterized by high porosity and permeability), and steeper slopes, exhibiting heightened susceptibility to erosion (Archangan and Kalat basins). The credibility of the research findings was examined through on-site observations. The outcomes of this study may provide pertinent insights for decision-makers and planners. This information can be effectively employed in formulating strategies aimed at conserving soil quality in areas vulnerable to erosion hazards

Climate change · Drainage density · Erosion · Geographic information system · Geography · Geomorphology · Lithology · Loess · Normalized Difference Vegetation Index · Physical geography · Precipitation · Remote sensing · Structural basin · Groundwater and Watershed Analysis · Hydrology and Watershed Management Studies · Soil erosion and sediment transport · Geology

  • Geophysical sediment properties of a late Pleistocene loess–paleosol sequence, Chenarli, northeastern Iran

    Open Access•Amin Ghafarpour, Farhad Khormali et al.•Quaternary Research•2023

  • Optimization by the Analytic Hierarchy Process

    Thomas L Saaty•1979

  • The analytic hierarchy process—what it is and how it is used

    Open Access•Rozann W Saaty•Mathematical Modelling•1987

  • Land‐use change impacts on soil and vegetation attributes in the Kanshi River basin, Potohar Plateau, Pakistan

    Open Access•Sohail Abbas, Ghulam Dastgeer et al.•Land Degradation and Development•2022

  • Soil erosion risk assessment in the Umzintlava catchment (T32E), Eastern Cape, South Africa, using Rusle and random forest algorithm

    Kwanele Phinzi, Njoya Silas Ngetar et al.•South African Geographical Journal•2021

  • Response of Soil Detachment Rate to Sediment Load and Model Examination

    Open Access•Nan Shen, Zhanli Wang et al.•International Journal of…•2023

  • Influence of Topographic Factors on the Characteristics of Gully Systems in Mountainous Areas of Ningnan Dry-Hot Valley, SW China

    Open Access•Yuxin Cen, Bin Zhang et al.•International Journal of…•2022

  • Loess chronology of the Caspian Lowland in Northern Iran

    Open Access•Manfred Frechen, Martin Kehl et al.•Quaternary International•2009

  • Loess is not just the accumulation of dust

    Open Access•M Pecsi•Quaternary International•1990

  • Loess is [almost totally formed by] the accumulation of dust

    Open Access•Ian Smalley, Slobodan B Marković et al.•Quaternary International•2011

  • Chronostratigraphy of loess deposits in northeast Iran

    Open Access•Alireza Karimi, Manfred Frechen et al.•Quaternary International•2011

  • Investigating soil magnetic properties with pedogenic variation along a precipitation gradient in loess-derived soils of the Golestan province, northern Iran

    Open Access•J Sharifigarmdareh, F Khormali et al.•Quaternary International•2020

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