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Collapse dolines susceptibility mapping using frequency ratio method and GIS in Sahel-Doukkala, Morocco

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Abstract

This study aims firstly, to build the collapse dolines susceptibility maps in the Sahel-Doukkala area of central Morocco, using the modified frequency ratio (FR) method. Secondly, to determine the relationships between factors responsible for collapse doline occurrence and their spatial distribution. To accomplish these objectives, a total of 58 collapses were identified in the field and integrated into the Geographic Information System (GIS) database. A collapse inventory map was prepared from the locations of the identified collapses. This inventory was subdivided randomly in two equal groups, one for FR model development and one for model validation. In this study, six parameters that control the development of karstic collapse dolines were selected. These factors are slope, appearance, elevation, geological nature of the terrain, distance from the underground drainage axis and, distance from faults. The combination of the chosen factors allowed the creation of Collapse Dolines susceptibility map of the study area. The validity of the obtained model was verified using the Area Under the Curve (AUC) highlighting a high prediction degree. The FR value obtained for Collapse dolines susceptibility were comprised between 2.5 and 25.8, these levels have been divided into five susceptibility classes: very low, low, moderate, high and very high. Overall, the obtained results show that the study area was dominated by very low and low or moderate susceptibility classes. However, the Sahel and the NW part of the study area was characterised by a concentration of high and very high classes. Moreover, the AUC value of 90% was obtained, which indicates the reliability of the susceptibility map for the karst collapse. This study’s findings can help decision-makers in land use planning and preventing areas of potential collapse.

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References

  • Beguería S (2006) Validation and evaluation of predictive models in hazard assessment and risk management. Nat Hazards 37:315–329

    Article  Google Scholar 

  • Boualla O, Mehdi K, Bendahhou Z (2016) Collapse dolines susceptibility mapping in Doukkala-Abda (Western Morocco) by using GIS matrix method (GMM). Model. Earth Syst Environ. https://doi.org/10.1007/s40808-015-0064-8

    Article  Google Scholar 

  • Brach DJ (1953) Notes sur les climats du Maroc occidental. Maroc Méd 342:1122

    Google Scholar 

  • Bui DT, Pradhan B, Lofman O, Revhaug I, Dick OB (2012) Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models. CATENA 96:28–40

    Article  Google Scholar 

  • Chauhan S, Sharma M, Arora MK (2010) Landslide susceptibility zonation of the Chamoli region, Garhwal Himalayas, using logistic regression model. Landslides 7(4):411–423

    Article  Google Scholar 

  • Chung CJ, Fabbri AG (1993) The representation of geosciences information for data integration. Non-Renew Resour 2(2):122–139

    Article  Google Scholar 

  • Dahal RK, Hasegawa S, Nonomura A, Yamanaka M, Dhakal S, Paudyal P (2008) Predictive modelling of rainfall-induced landslide hazard in the Lesser Himalaya of Nepal based on weights-of-evidence. Geomorphology 102(3–4):496–510

    Article  Google Scholar 

  • Devkota KC, Regmi AD, Pourghasemi HR, Yoshida K, Pradhan B, Ryu IC, Dhital MR, Althuwaynee OF (2013) Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling-Narayanghat road section in Nepal Himalaya. Nat Hazards 65(1):135–165

    Article  Google Scholar 

  • DRHT (1994), Elaboration d’un schéma d’exploitation des eaux souterraines du Sahel (Maroc). Rapp. Projet: DRPE-FAO. TCP/MOR/2251

  • El Achheb A (1993) Etude hydrogéologique et hydrochimique de la plaine des Doukkala. Thèse de 3ème cycle, Fac. Sc. Semlalia-Marrakech

  • Erener A, Mutlu A, Sebnem Düzgün H (2016) A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM). Eng Geol 203:45–55

    Article  Google Scholar 

  • Fell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage WZ (2008) Guidlines for landslide susceptibility, hazard and risk zoning for land-use planning. Eng Geol 102:90–111

    Google Scholar 

  • Ferré M, et Ruhard JP (1975) Ressources en eau t2 (plaines et bassins du Maroc Atlantique); les bassins des Abda-Doukkala et du Sahel d’Azemmour à Safi. Notes mém. Serv. géol. Maroc, n°231

  • U.S. Geological Survey (2017) earth explorer, https://earthexplorer.usgs.gov/earthexplorer/browse/stats.phpAccessed 22 March 2018.

  • Gigout M (1951) Etudes geologiques sur la Méseéta marocaine occidentale (Arriére-pays de Casablanca, Mazagan et Safi). Imprimerie Maroc-Matin, p 507

  • GUESSIR H. (1995) Etude de l’Impact de l’Irrigation par les Eaux Usses Brutes sur la Qualite Physico-chimiquee du Sol et de la Nappe Phréatique dans la Region de Sidi Bennour (MAROC),Thèse de 3ème cycle, Fac. Sc EL JADIDA

  • Guzzetti F, Carrara A, Cardinali Z, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31:181–216

    Article  Google Scholar 

  • Hazan R, Monition L (1963) Etat des connaissances sur l’hydroge´ologie karstique au Maroc. Congr. Berkeley (Calif.), 1963. Eaux souterr., Ass int Hydrol Science, Stockholm

    Google Scholar 

  • Hung LQ, Van NTH, Duc DM, Ha LTC, Van Son P, Khanh NH, Binh LT (2015) Landslide susceptibility mapping by combining the analytical hierarchy process and weighted linear combination methods: a case study in the upper Lo River catchment (Vietnam). Landslides 13:1285–1301

    Article  Google Scholar 

  • Ilia I, Tsangaratos P (2016) Applying weight of evidence method and sensitivity analysis to produce a landslide susceptibility map. Landslides 13(2):379–397

    Article  Google Scholar 

  • Kannan M, Saranathan E, Anabalagan R (2013) Landslide vulnerability mapping using frequency ratio model: a geospatial approach in Bodi-Bodimettu Ghat section, Theni district, Tamil Nadu, India. Arab J Geosci 6(8):2901–2913

    Article  Google Scholar 

  • Lee S, Pradhan B (2006) Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. J Earth Syst Sci 115(6):661–672

    Article  Google Scholar 

  • Lee S, Thalib JA (2005) Probabilistic landslide susceptibility and factor effect analysis. Environ Geol 47:982–990

    Article  Google Scholar 

  • Mangin A (1975) Contribution à l’étude hydrodynamique des aquifères karstiques. Troisième partie: Constitution et fonctionnement des aquifères karstiques. Thèse de Doctorat ès Sciences, Université de Dijon, France. Ann. Spéléol., 1975, 30, 21-124

  • Nefeslioglu HA, Gokceoglu C, Sonmez H (2008) An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Eng Geol 97(3–4):171–191

    Article  Google Scholar 

  • Ouadia M (1998) Les formations plio- quaternaire dans le domaine mesetien occidental du Maroc entre Casablanca et Safi: géomorphologie, sédimentologie, paléoenvironnement quaternaire et évolution actuelle. Thèse de Doct. D’état es Sc., Univ Mohamed V rabat.

  • Rahmati O, Pourghasemi HR and Zeinivand H (2016) Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan province, Iran. Geocarto Int 31:42–70

    Article  Google Scholar 

  • Reis S, Yalcin A, Atasoy M, Nisanci R, Bayrak T, Erduran M, Sancar C, Ekercin S (2012) Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio and analytical hierarchy methods in Rize province (NE Turkey). Environ. Earth Sci. 66(7):2063–2073

    Article  Google Scholar 

  • Rossi G (1980)  Extrême-Nord de Madagascar : étude géomorphologique. p 439

  • Rostami ZA, Al-modaresi SA, Fathizad H, Faramarzi M (2016) Landslide susceptibility mapping by using fuzzy logic: a case study of Cham-gardalan catchment, Ilam, Iran. Arab J Geosci 9(17):685

    Article  Google Scholar 

  • Salomon JN (1997) The climatic influences on the karst geomorphology: example of tropical and arid environments. In: Quaternaire, vol. 8, pp. 107-117. https://doi.org/10.3406/quate.1997.1565

    Article  Google Scholar 

  • Tehrany MS, Pradhan B, Jebur MN (2015) Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method. Stoch Environ Res Risk Assess 29:1149–1165

    Article  Google Scholar 

  • Umar Z, Pradhan B, Ahmad A, Jebur MN, Tehrany MS (2014) Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia. CATENA 118:124–135

    Article  Google Scholar 

  • Van Westen CJ, Van Asch TWJ, Soeters R (2006) Landslide hazard and risk zonation why is it still so difficult? Bull Eng Geol Env 65:167–184

    Article  Google Scholar 

  • Vijith H, Madhu G (2008) Estimating potential landslide sites of an upland sub-watershed in Western Ghat’s of Kerala (India) through frequency ratio and GIS. Environ Geol 55:1397–1405. https://doi.org/10.1007/s00254-007-1090-2

    Article  Google Scholar 

  • Wang Q, Li W (2017) A GIS-based comparative evaluation of analytical hierarchy process and frequency ratio models for landslide susceptibility mapping. Phys Geogr 38(4):318–337

    Article  Google Scholar 

  • Wang QQ, Li WP, Yan SS, Wu YL, Pei YB (2016) Gis based frequency ratio and index of entropy models to landslide susceptibility mapping (Daguan, China). Environ Earth Sci 75:780

    Article  Google Scholar 

  • Wu Y, Li W, Wang Q, Liu Q, Yang D, Xing M, Pei Y, Yan S (2016) Landslide susceptibility assessment using frequency ratio, statistical index and certainty factor models for the Gangu County, China. Arab J Geosci 9(2):1–16

    Google Scholar 

  • Yalcin A (2008) GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): comparisons of results and confirmations. CATENA 72(1):1–12

    Article  Google Scholar 

  • Yalcin A, Reis S, Aydinoglu AC, Yomralioglu T (2011) A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey. CATENA 85(3):274–287

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Marine Geosciences and Soil Sciences Laboratory (LGMSS), Research Unit Associated CNRST 45, Department of Geology, Faculty of Sciences, Chouïab Doukkali University, B.P.: 20, 24000, El Jadida, Morocco

    Mohammed Bouzerda, Khalid Mehdi & Ahmed Fadili

  2. Geoscience and Environment Team, Department of Geology, Faculty of Science, Ibn Zohr University, B.P. 8106, 80000, Agadir, Morocco

    Othmane Boualla

Authors
  1. Mohammed Bouzerda
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  2. Khalid Mehdi
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  3. Ahmed Fadili
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  4. Othmane Boualla
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Correspondence to Mohammed Bouzerda.

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Bouzerda, M., Mehdi, K., Fadili, A. et al. Collapse dolines susceptibility mapping using frequency ratio method and GIS in Sahel-Doukkala, Morocco. Model. Earth Syst. Environ. 6, 349–362 (2020). https://doi.org/10.1007/s40808-019-00683-y

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