Geospatial modeling for enhanced landslide susceptibility mapping in atlas mountains of the northeast of Algeria

• Autorzy: Boudjellal Rania , Fehdi Chemseddine , Baali Fethi

Identyfikatory

DOI

10.15576/GLL/2023.4.41

• Języki publikacji: EN

Abstrakty

EN

This study presents a practical geospatial approach, based on geomatic principles, to create landslide susceptibility maps that meet contemporary landscape and land management priorities. By employing a GIS-based statistical modeling, our methodology seamlessly integrates a wide range of factors including topography, lithology, land use, and precipitation. This comprehensive approach allows for a holistic evaluation of landslide susceptibility. We use two widely recognized multi-criteria techniques, namely the Analytic Hierarchy Process (AHP) and the Fuzzy Logic Ratio (FR), which in result produce two distinct yet complementary landslide susceptibility maps (LSMs). The creation of these LSMs relies on a carefully curated dataset of landslides, collected through rigorous analysis of high-resolution satellite imagery, interpretation of aerial photographs, and extensive fieldwork. Eleven key factors are selected to inform the modeling process. To assess the accuracy of the LSMs, we employ ROC curves, with the FR method demonstrating superior predictive performance, achieving an impressive accuracy rate of 75% compared to the AHP model’s 65%. These findings highlight the effectiveness of our approach in identifying high landslide susceptibility areas, providing valuable insights for informed land use planning, hazard mitigation strategies, and rapid emergency response measures. The GIS-based statistical modeling technique showcased in this research provides a robust framework for generating precise landslide susceptibility maps in complex mountainous landscapes. This research makes a significant contribution to the evolving field of geomatics, enhancing landscape resilience and promoting sustainable land management practices.

Słowa kluczowe

EN

geospatial approach; landslide susceptibility map; GIS; multi-criteria analysis; landscape resilience

PL

mapa podatności na osuwiska; analiza wielokryterialna

• Wydawca: Wydawnictwo Uniwersytetu Rolniczego w Krakowie
• Czasopismo: Geomatics, Landmanagement and Landscape
• Rocznik: 2023
• Tom: no. 4
• Strony: 41--57
• Opis fizyczny: Bibliogr. 39 poz., rys., tab.

Twórcy

autor

Boudjellal Rania

• Department of Earth and Universe Sciences Laboratory of Water and Environment Faculty of Exact Sciences and Natural and Life Sciences Echahid Larbi Tebessi University, Algeria

autor

Fehdi Chemseddine

• Department of Earth and Universe Sciences Laboratory of Water and Environment Faculty of Exact Sciences and Natural and Life Sciences Echahid Larbi Tebessi University, Algeria

autor

Baali Fethi

• Department of Earth and Universe Sciences Laboratory of Water and Environment Faculty of Exact Sciences and Natural and Life Sciences Echahid Larbi Tebessi University, Algeria

Bibliografia

• Achour Y., Boumezbeur A., Hadji R. 2017. Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria. Arab. J. Geosci., 10, 194.
• Asmoay A.A., Mabrouk W.A. 2023. Appraisal of rock–water interaction and frailty of groundwater to corrosion and salinization, northwestern Gulf of Suez, Egypt. Journal of Umm AlQura University for Applied Sciences, 1–12.
• Bagwan W.A., Gavali R.S., Maity A. 2023. Quantifying soil organic carbon (SOC) density and stock in the Urmodi River watershed of Maharashtra, India: implications for sustainable land management. Journal of Umm Al-Qura University for Applied Sciences, 1–17.
• Boubazine L., Boumazbeur A., Hadji R., Fares K. 2022. Mining of Mineral Deposits.
• Brahmi S., Baali F., Hadji R., Brahmi S., Hamad A., Rahal O., ... Hamed Y. 2021. Assessment of groundwater and soil pollution by leachate using electrical resistivity and induced polarization imaging survey. Case of Tebessa municipal landfill, NE Algeria. Arabian Journal of Geosciences, 14(4), 1–13.
• Conforti M., Aucelli P.P., Robustelli G., Scarciglia F. 2011. Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy). Natural Hazards, 56, 881–898.
• Dahal R.K., Hasegawa S., Nonomura A., Yamanaka M., Masuda T., Nishino K. 2008. GISbased weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping. Environmental Geology, 54, 311–324.
• Dahoua L., Savenko VY., Hadji R. 2017b. GIS-based technic for roadside-slope stability assessment: an bivariate approach for A1 East-west highway, North Algeria. Mining Science, 24, 81–91.
• Dahoua L., Usychenko O., Savenko V.Y., Hadji R. 2018. Mathematical approach for estimating the stability of geotextile-reinforced embankments during an earthquake. Mining Science, 25, 207–217.
• Dahoua L., Yakovitch S.V., Hadji R., Farid Z. 2017a. Landslide Susceptibility Mapping Using Analytic Hierarchy Process Method in BBA – Bouira Region. Case Study of East-West Highway, NE Algeria. In: Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions. Eds. A. Kallel, M. Ksibi, H. Ben Dhia, N. Khélifi. EMCEI 2017. Advances in Science, Technology & Innovation (IEREK Interdisciplinary Series for Sustainable Development). Springer, Cham.
• Dib I., Khedidja A., Chattah W., Hadji R. 2022. Multivariate statistical-based approach to the physical-chemical behavior of shallow groundwater in a semiarid dry climate. The case study of the Gadaïne-Ain Yaghout plain NE Algeria. Mining of Mineral Deposits, 16(3), 38- 47. https://doi.org/10.33271/mining16.03.038
• El Hafyani M., Essahlaoui N., Essahlaoui A., Mohajane M., Van Rompaey A. 2023. Generation of climate change scenarios for rainfall and temperature using SDSM in a Mediterranean environment: a case study of Boufakrane river watershed, Morocco. Journal of Umm Al-Qura University for Applied Sciences, 1–13.
• Foumelis M., Lekkas E., Parcharidis I. 2004. Landslide susceptibility mapping by GIS-based qualitative weighting procedure in Corinth area. Bull. Geol. Soc., Greece, XXXVI, 904– 912.
• Fredj M., Hafsaoui A., Riheb H., Boukarm R., Saadoun A. 2020. Back-analysis study on slope instability in an open pit mine (Algeria). Scientific Bulletin of National Mining University, 2.
• Kallel A., Ksibi M., Dhia H.B., Khélifi N. (eds.). 2018. Recent advances in environmental science from the Euro-Mediterranean and surrounding regions. Proceedings of Euro-Mediterranean Conference for Environmental Integration (EMCEI-1), Tunisia 2017. Springer International Publishing.
• Karim Z., Hadji R., Hamed Y. 2019. GIS-based approaches for the landslide susceptibility prediction in Setif Region (NE Algeria). Geotechnical and Geological Engineering, 37(1), 359–374.
• Kerbati N.R., Gadri L., Hadji R. et al. 2020. Graphical and Numerical Methods for Stability Analysis in Surrounding Rock of Underground Excavations. Example of Boukhadra Iron Mine NE Algeria. Geotechnical and Geological Engineering, 1–9.
• Lee S., Pradhan B. 2007. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Landslides, 4, 33–41.
• Lee S., Sambath T. 2006. Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ. Geol., 50(6), 847–855.
• Mahdadi F., Boumezbeur A., Hadji R., Kanungo D.P., Zahri F. 2018. GIS-based landslide susceptibility assessment using statistical models: A case study from Souk Ahras province, NE
• Mahleb A., Hadji R., Zahri F., Boudjellal R., Chibani A., Hamed Y. 2022. Water-Borne Erosion Estimation Using the Revised Universal Soil Loss Equation (RUSLE) Model Over a Semiarid Watershed: Case Study of Meskiana Catchment, Algerian-Tunisian Border. Geotechnical and Geological Engineering, 40(8), 4217–4230.
• Manchar N., Benabbas C., Hadji R., Bouaicha F., Grecu F. 2018. Landslide Susceptibility Assessment in Constantine Region Algeria by Means of Statistical Models. Studia Geotechnica et Mechanica, 40(3), 208–219.
• Merghadi A., Yunus A.P., Dou J., Whiteley J., Thai Pham B., Bui D.T., ... Abderrahmane B. 2020. Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance. Earth-Science Reviews, 207, 103225.
• Nekkoub A., Baali F., Hadji R., Hamed Y. 2020. The EPIK multi-attribute method for intrinsic vulnerability assessment of karstic aquifer under semi-arid climatic conditions, case of Cheria Plateau, NE Algeria. Arabian Journal of Geosciences, 13(15), 1–15.
• Neuhäuser B., Terhorst B. 2007. Landslide susceptibility assessment using B weights-of evidence applied to a study area at the Jurassic escarpment (SW Germany). Geomorphology, 86(1), 12–24.
• Orabi O.H., El-Sabbagh A., Mansour A.S., Ismail H., Taha S. 2023a. Foraminifera study for the characterization of the Campanian/Maastrichtian boundary in Gebel Owaina, Nile Valley, Egypt. Journal of Umm Al-Qura University for Applied Sciences, 1–19.
• Orabi O.H., Hamad M.M., Abu Saima M.M. 2023b. Foraminifera dissolution phases in the upper cretaceous succession of Jebel Duwi, Egypt. Journal of Umm Al-Qura University for Applied Sciences, 1–19.
• Pourghasemi H.R., Moradi H.R., Fatemi Aghda S.M. 2013. Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances. Nat Hazards, 69, 749–779.
• Pourghasemi H.R., Pradhan B., Gokceoglu C. 2012. Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran.
• Raïs K., Kara M., Gadri L., Hadji R., Khochman L. 2017. Original approach for the drilling process optimization in open cast mines: case study of Kef Essenoun open pit mine Northeast of Algeria. Mining Science, 24, 147–159.
• Saaty T.L. 1980. The analytical hierarchy process. McGraw Hill, New York.
• Saaty T.L. 2000. The fundamentals of decision making and priority theory with the analytic hierarchy process, VI, 2nd ed. RWS Publications, Pitsburg.
• Saha A.K., Gupta R.P., Sarkar I., Arora M.K., Csaplovics E. 2005. An approach for GIS-based statistical landslide susceptibility zonation with a case study in the Himalayas. Landslides, 2, 61–69.
• Sánchez-García V., Mateos R.M. 2020. Assessment of natural hazards and risk in Mediterranean countries. Sustainability, 12(10), 4217.
• Sankar T.K., Ambade B., Mahato D.K., Kumar A., Jangde R. 2023. Anthropogenic fine aerosol and black carbon distribution over urban environment. Journal of Umm Al-Qura University for Applied Sciences, 1–10.
• Taib H., Hadji R., Hamed Y., Bensalem M.S., Amamria S. 2023. Exploring neotectonic activity in a semiarid basin: a case study of the Ain Zerga watershed. Journal of Umm Al-Qura University for Applied Sciences, 1–14.
• Van Westen C.J., Rengers N., Soeters R. 2003. Use of geomorphological information in indirect landslide susceptibility assessment. Nat Hazards, 30(3), 399–419. Algeria. Arabian Journal of Geosciences, 11(17), 476.
• Wang Q., Guo Y., Li W., He J., Wu Z. 2019. Predictive modeling of landslide hazards in Wen County, northwestern China based on information value, weights-of-evidence, and certainty factor. Geomatics, Natural Hazards and Risk, 10(1), 820–835.
• Yilmaz C., Topal T., Suzen M.L. 2012. GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak, Turkey). Environ. Earth Sci., 65, 2161–2178.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).