Abstract
The coastal cliffs of the Jurassico–Cretaceous formation, outcrop** along the coastal area of Safi (Morocco), are particularly vulnerable. A wide variety of instabilities and slope failure, impacts such slopes, inducing serious structural and human security risks and accelerating the retreat. This paper presents results of research conducted on shoreline change assessment and forecast and inspecting causes that produce and/or accelerate coastline change to propose optimal management and protection solutions. Net Shoreline Movement, Linear Regression Rate, and End Point Rate analysis were computed to examine shoreline change rate (2002–2020) using Landsat 7 ETM + and LOI data and Digital Shoreline Analysis System. The Kalman filter model is used to predict shoreline change (2030 and 2040). The estimated erosion and accretion rates between − 7.87 and 2.23 m/year highlight the main erosional trend, and reveal the feedbacks between the proportional advance (set-forwards or accretion) and the active landslides, high accretion rates are recorded in the landsliding segment. An attempt was made to identify the relationships between causal factors; to this end, a methodological development through field investigation and laboratory tests of the brown clay involved in all slope failures. Results of physicochemical and mineralogical tests showed that all clay samples had medium to high plasticity, and similar mineral compositions, mainly illite, vermiculite, mixed-layer illite-vermiculite of expandable phases, and permit to point out the strong relationship existing between landslide occurrence, cliff dynamic, and geotechnical and mineralogical properties of Brown clay.
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References
AFNOR (1993a) Norme française. Sols: reconnaissance et essais. Détermination des limites d’Atterburg: limite de liquidité cône de pénétration, limite de plasticité au rouleau, NF P 94-051. AFNOR, p 15 (In French)
AFNOR (1993b) Norme française. Sols : reconnaissance et essais. Détermination de la teneur pondérale en matières organiques d’un sol. Méthode chimique, NF P 94-055. AFNOR, p 7 (In French)
AFNOR (1995a) Norme française. Sol: reconnaissance et essai. Détermination de la teneur en eau pondérale des sols. Méthode par étuvage, NF P 94-050. AFNOR, p 8 (In French)
AFNOR (1995b) Norme française. Sols : reconnaissance et essais - Détermination des limites d'Atterberg - Partie 1 : limite de liquidité - Méthode du cône de pénétration, NF P 94-052-1. AFNOR, p 9 (In French)
AFNOR (1996a) Norme française. Sols : Reconnaissance et Essais. Analyse granulométrique. Méthode par tamisage à sec après lavage, NF P 94-056. AFNOR, p 1 (In French)
AFNOR (1996b) Norme française. Sols: Reconnaissance et essais. Détermination de la teneur en carbonate. Méthode du calcimètre, NF P 94-048. AFNOR, p 11 (In French)
Alberti S, Olsen MJ, Allan J, Leshchinsky B (2022) Feedback thresholds between coastal retreat and landslide activity. Eng Geol 301:106620. https://doi.org/10.1016/j.enggeo.2022.106620
Awad M, El-Sayed HM (2021) The analysis of shoreline change dynamics and future predictions using automated spatial techniques: case of El-Omayed on the Mediterranean coast of Egypt. Ocean Coast Manag 205:105568. https://doi.org/10.1016/j.ocecoaman.2021.105568
Baig MRI, Ahmad IA, Shahfahad TM, Rahman A (2020) Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS). Ann GIS 26:361–376. https://doi.org/10.1080/19475683.2020.1815839
Barabaszová KČ, Valášková M (2013) Characterization of vermiculite particles after different milling techniques. Powder Technol 239(277):283. https://doi.org/10.1016/j.powtec.2013.01.053
Budetta P, Santo A, Vivenzio F (2008) Landslide hazard map** along the coastline of the Cilento region (Italy) by means of a GIS-based parameter rating approach. Geomorphology 94:340–352. https://doi.org/10.1016/j.geomorph.2006.10.034
Castedo R, Murphy W, Lawrence J, Paredes C (2012) A new process–response coastal recession model of soft rock cliffs. Geomorphology 177–178:128–143. https://doi.org/10.1016/j.geomorph.2012.07.020
Ciritci D, Türk T (2020) Assessment of the Kalman filter-based future shoreline prediction method. Int J Environ Sci Technol 17:3801–3816. https://doi.org/10.1007/s13762-020-02733-w
Colak TI, Senel G, Goksel C (2019) Coastline zone extraction using landsat-8 OLI imagery, case study: Bodrum Peninsula, Turkey. Int Arch Photogramm Remote Sens Spatial Inf Sci XLII-4/W12:101–104. https://doi.org/10.5194/isprs-archives-XLII-4-W12-101-2019
Daneluz J, da Silva FJ, dos Santos V, Weiss-Angeli V, Bonan Gomes L, Sampaio Mexias A, Pérez Bergmann C (2020) The influence of different concentrations of a natural clay material as active principle in cosmetic formulations. Mater Res 23(2):e20190572. https://doi.org/10.1590/1980-5373-MR-2019-0572
Drits VA, Sakharov BA, Lindgreen H, Salyn A (1997) Sequential structure transformation of illite-smectite-vermiculite during diagenesis of Upper Jurassic shales from the North Sea and Denmark. Clay Miner 32:351–371. https://doi.org/10.1180/claymin.1997.032.3.03
Drits VA, McCarty DK, Derkowski A (2012) Mixed-layered structure formation during trans-vacant Al-rich illite partial dehydroxylation. Am Mineral 97(11–12):1922–1938. https://doi.org/10.2138/am.2012.4178
Epifânio B, Zêzere JL, Neves M (2013) Identification of hazardous zones combining cliff retreat rates with landslide susceptibility assessment. J Coast Res 165:1681–1686. https://doi.org/10.2112/si65-284.1
Esmail M, Mahmod WE, Fath H (2019) Assessment and prediction of shoreline change using multi-temporal satellite images and statistics: case study of Damietta coast. Egypt Appl Ocean Res 82:274–282. https://doi.org/10.1016/j.apor.2018.11.009
Gaudette HE (1964) The nature of Illite. Clays Clay Miner 13:33–48. https://doi.org/10.1346/CCMN.1964.0130105
Gigout M (1951) Etudes géologiques sur la Méséta Marocaine occidentale (arrière-pays de Casablanca, Mazagan et Safi). Tome 1 et 2, Travaux de l’institut scientifique chérifien (In French)
Gourouza M, Zanguina A, Natatou I, Boos A (2013) Caracterisation d’une argile mixte du Niger Characterization of a mixed clay NIGER 1, 11
Hajjaji M (2014) Mineralogy and thermal transformation of clayey materials from the district of Marrakech, Morocco. Commun Geol 101(1):75–80
Holtzapffel T (1985) Les minéraux argileux: préparation, analyse diffractométrique et détermination. Mém Soc Géol Nord 12:136p
Hong H, Churchman GJ, Yin K, Li R, Li Z (2014) Randomly interstratified illite–vermiculite from weathering of illite in red earth sediments in Xuancheng, southeastern China. Geoderma 214–215:42–49. https://doi.org/10.1016/j.geoderma.2013.10.004
Húlan T, Trník A, Štubňa I, Bačík P, Kaljuvee T, Vozár L (2015) Thermomechanical analysis of illite from Füzérradvány. Mater Sci 21:429–434. https://doi.org/10.5755/j01.ms.21.3.7152
Justo A, Pérez-Rodríguez JL, Sánchez-Soto PJ (1993) Thermal study of vermiculites and mica-vermiculite interstratifications. J Therm Anal 40:59–65. https://doi.org/10.1007/BF02546555
Lillisand MT, Kiefer WR (2000) Remote sensing and image interpretation. Wiley, New York, pp 375–380
Long JW, Plant NG (2012) Extended Kalman filter framework for forecasting shoreline evolution: FORECASTING SHORELINE EVOLUTION. Geophys Res Lett. https://doi.org/10.1029/2012GL052180
Matin N, Hasan GMJ (2021) A quantitative analysis of shoreline changes along the coast of Bangladesh using remote sensing and GIS techniques. CATENA 201:105185. https://doi.org/10.1016/j.catena.2021.105185
Meunier A, Lanson B, Velde B (2004) Composition variation of illite-vermiculitesmectite mixed-layer minerals in a bentonite bed from Charente (France). Clay Miner 39:317–332. https://doi.org/10.1180/0009855043930137
Michard A (1976) Eléments de géologie marocaine, Notes et Mémoires du Service Géologique du Maroc, pp 252–408 (In French)
Moore DM, Reynolds RC Jr (1997) X-ray diffraction and the identification and analysis of clay minerals. Oxford University Press, New York, pp 261–297
Mosser-Ruck R, Devineau K, Charpentier D, Cathelineau M (2005) Effects of ethylene glycol saturation protocols on XRD patterns: a critical review and discussion. Clays Clay Miner 53:631–638. https://doi.org/10.1346/CCMN.2005.0530609
Nassar K, Mahmod WE, Fath H, Masria A, Nadaoka K, Negm A (2019) Shoreline change detection using DSAS technique: case of North Sinai coast, Egypt. Mar Georesour Geotechnol 37:81–95. https://doi.org/10.1080/1064119X.2018.1448912
Natarajan L, Sivagnanam N, Usha T, Chokkalingam L, Sundar S, Gowrappan M, Roy PD (2021) Shoreline changes over last five decades and predictions for 2030 and 2040: a case study from Cuddalore, southeast coast of India. Earth Sci Inf 14:1315–1325. https://doi.org/10.1007/s12145-021-00668-5
Ngoc LT (1977) Nouvel essai d’identification des sols: l’essai au bleu de méthylène. Bull LPC 88:136–137 (In French)
Niang AJ (2020) Monitoring long-term shoreline changes along Yanbu, Kingdom of Saudi Arabia using remote sensing and GIS techniques. J Taibah Univ Sci 14:762–776. https://doi.org/10.1080/16583655.2020.1773623
Omotoso O (2004) High surface areas caused by smectitic interstratification of kaolinite and illite in Athabasca oil sands. Appl Clay Sci 25:37–47. https://doi.org/10.1016/j.clay.2003.08.002
Plevova E, Vaculikova L, Valovicova V (2020) Thermal analysis and FT-IR spectroscopy of synthetic clay mineral mixtures. J Therm Anal Calorim 142:507–518. https://doi.org/10.1007/s10973-020-09527-9
Quang DN, Ngan VH, Tam HS, Viet NT, Tinh NX, Tanaka H (2021) Long-term shoreline evolution using DSAS technique: a case study of Quang Nam Province. Vietnam JMSE 9:1124. https://doi.org/10.3390/jmse9101124
Ramdhan M, Yulius Y, Kholik N (2020) Shoreline change dynamics using digital shoreline analysis in Cemara Besar Island. Segara. https://doi.org/10.15578/segara.v16i2.8360
Righi D (1993) Characterization of hydroxy-interlayered vermiculite and illite/smectite interstratified minerals from the weathering of chlorite in a cryorthod. Clays Clay Miner 41:484–495. https://doi.org/10.1346/CCMN.1993.0410409
Ritz M, Vaculíková L, Plevová E (2010) Identification of clay minerals by infrared spectroscopy and discriminant analysis. Appl Spectrosc 64(12):1379–1387. https://doi.org/10.1366/000370210793561592
Soderman LG, Quigley RM (1965) Geotechnical properties of three Ontario clays. Can Geotech J 2(2):167–189. https://doi.org/10.1139/t65-023
Srasra E, Bergaya F, Fripiat JJ (1994) Infrared spectroscopy study of tetrahedral and octahedral substitutions in an interstratified illite-smectite clay. Clays Clay Miner 42(3):237–241
Stylianou M, Inglezakis V, Agapiou A, Itskos G, Jetybayeva A, Loizidou M (2018) A comparative study on phyllosilicate and tectosillicate mineral structural properties. DWT 112:119–146. https://doi.org/10.5004/dwt.2018.21968
Sytnik O, Del Río L, Greggio N, Bonetti J (2018) Historical shoreline trend analysis and drivers of coastal change along the Ravenna coast, NE Adriatic. Environ Earth Sci 77:779. https://doi.org/10.1007/s12665-018-7963-8
Thior M, Sy AA, Cisse I, Dieye EHB, Sane T, Ba BD, Solly B, Descroix L (2021) Approche cartographique de l’évolution du trait de côte dans l’estuaire de la Casamance. Mappemonde. https://doi.org/10.4000/mappemonde.5939
Tomanec R, Popov S, Vucinic D, Lazic P (1997) Vermiculite from Kopaonik (Yugoslavia). Characterization and processing. Physicochem Probl Miner Process 31(1):247–254
Trubaca-Boginska A, Adina R, Vaivars G, Svirksts JA (2018) Study of acidification and intercalation of illite clay minerals and their potential use as a filler in SPEEK composite membranes. Key Eng Mater 762:186–191
Tyagi S, Rai SC (2020) Monitoring shoreline changes along Andhra coast of India using remote sensing and geographic information system. Indian J Mar Sci 49:7
Witam O (1988) Etude Stratigraphique et Sédimentologique de la Série Mésozoïque du Bassin de Safi. Ph.D. Thesis, Université Cadi Ayyad de Marrakech, Marrakech, Morocco. (In French)
Yalcin A (2011) A geotechnical study on the landslides in the Trabzon Province, NE, Turkey. Appl Clay Sci 52(1–2):11–19. https://doi.org/10.1016/j.clay.2011.01.015
Yasir M, Sheng H, Fan H, Nazir S, Niang AJ, Salauddin Md, Khan S (2020) Automatic coastline extraction and changes analysis using remote sensing and GIS technology. IEEE Access 8:180156–180170. https://doi.org/10.1109/ACCESS.2020.3027881
Ye L, ** YF, Zhu QY, Sun PP (2015) Influence of mineral constituents on one-dimensional compression behaviour of clayey soils. Geotech Soc Assoc Geotech Soc South East Asia 46(3):ffhal-01472596f
Yin K, Hong H, Churchman GJ, Li Z, Fang Q (2018) Mixed-layer illite-vermiculite as a paleoclimatic indicator in the Pleistocene red soil sediments in Jiujiang, southern China. Palaeogeogr Palaeoclimatol Palaeoecol 510:140–151. https://doi.org/10.1016/j.palaeo.2017.06.034
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The authors gratefully acknowledge the reviewers for their constructive evaluation and comments. In addition, we would like to thank and appreciate the Faculty of Science Semlalia, Caddi Ayad University for providing the support and tools for this research.
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Raja, H., Omar, W., Mounsif, I. et al. Coastal cliff failures hazard along the Safi coastline (Morocco): a methodology for shoreline change assessment and its forecast along with examination of the causes. Environ Earth Sci 82, 255 (2023). https://doi.org/10.1007/s12665-023-10925-z
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DOI: https://doi.org/10.1007/s12665-023-10925-z