nach oben

Erschienen in:

2024 | OriginalPaper | Buchkapitel

Assessing Soil Erosion Vulnerability in Semi-Arid Haouz Plain, Marrakech, Morocco: Land Cover, Socio-Spatial Mutations, and Climatic Variations

verfasst von : Youssef Bammou, Brahim Benzougagh, Brahim Igmoullan, Ayad M. Fadhil Al-Quraishi, Fadhil Ali Ghaib, Shuraik Kader

Erschienen in: Natural Resources Deterioration in MENA Region

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The most serious type of land degradation is soil water erosion, which negatively affects agricultural production and has important environmental and socio-economic implications. Human activity promotes soil water erosion. Although much research has been conducted on this subject, there are few studies on soil erosion, especially in the study area. The spatiotemporal variation of soil erosion from 1992, 2002, and 2020 was studied using the spatial model of soil erosion risk and mapping the annual rate of soil loss in the Haouz plain in the lower part of the Tensift Basin in Morocco. The Revised Universal Soil Loss Equation (RUSLE) model, analyzed in a Geographic Information System (GIS), was adopted to estimate soil loss. This study aimed to identify the characteristics and variations in soil erosion under the combined effects of climate factors and land use change. The soil erosion rate of the study area experienced erosion at different levels and is estimated to be 9.84, 13.76, and 14.32% in 1992, 2002, and 2020, respectively. Precipitation, soil, land use, and digital terrain model data were used to construct individual model variables. The GIS platform processes and multiplies the raster layers of topography, cover management, soil erodibility, rainfall erosivity, and conservation techniques. At sites with steep slopes and degraded slopes, the predicted soil loss ranged from 0 to 35 t/ha/yr. Based on the spatial distribution of soil erosion risk, 2.90, 7.74, and 19.01% of the plains experienced soil losses greater than 26t/ha/yr in 1992, 2002, and 2020, respectively. The results indicated strong soil erosion. To effectively plan and execute sustainable soil management methods to prevent soil erosion, especially for the sustainability of the plain, an accurate estimate of soil loss was provided by the RUSLE and GIS methodology.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Construction Industry Role in Natural Resources Depletion and How to Reduce It

Nächstes Kapitel GIS-Based Erosion Potential Method (EPM) for Soil Degradation Evaluation: A Case Study the Northeast of Morocco

Alexakis D, Hadjimitsis D, Agapiou A (2013) Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of Yialias in Cyprus. Atmos Res 131:108–124. https://doi.org/10.1016/j.atmosres.2013.02.013CrossRef

Al-Quraishi AMF (2003) Soil erosion risk prediction with RS and GIS for the Northwestern Part of Hebei Province, China. Pakistan J Appl Sci 3(10–12):659–669

Al-Quraishi AMF, Negm AM (2020) Environmental remote sensing and GIS in Iraq. Springer Water, Springer, Cham. ISBN: 978–3–030–21343–5

Anys H, Bonn F, Merzouk A (1992) Mapping and calculating water erosion using remote sensing and GIS, the case of the Oued Aricha watershed (Settat, Morocco). Géo Observateur 2:37–51. http://hdl.handle.net/11143/7804

Bag R, Mondal I, Dehbozorgi M, Rakhohori BSP, Das DN, Bandyopadhyay J, Pham QB, Al-Quraishi AMF, Nguyen XC (2022) Modelling and mapping of soil erosion susceptibility using machine learning in a tropical hot sub-humid environment. J Clean Prod 364:132428. https://doi.org/10.1016/j.jclepro.2022.132428CrossRef

Bammou Y, Bouskri I, Brahim B, Kader S, Brahim I, Abdelkrim B, Spalević V (2023b) The contribution of the frequency ratio model and the prediction rate for the analysis of landslide risk in the Tizi N’tichka area on the national road (RN9) linking Marrakech and Ouarzazate. CATENA 232:107464. https://doi.org/10.1016/j.catena.2023.107464CrossRef

Bammou Y, Benzougagh B, Bensaid A, Igmoullan B, Al-Quraishi AMF (2023a) Mapping of current and future soil erosion risk in a semi-arid context (Haouz plain-Marrakech) based on CMIP6 climate models, the analytical hierarchy process (AHP) and RUSLE. Model Earth Syst Environ 1–14. https://doi.org/10.1007/s40808-023-01845-9

Benmansour M, Mabit L, Nouira A, Moussadek R, Bouksirate H, Duchemin M, Benkdad A (2013) Assessment of soil erosion and deposition rates in a Moroccan agricultural feld using fallout 137Cs and 210Pbex. J Environ Radioact 115:97–106. https://doi.org/10.1016/j.jenvrad.2012.07.013CrossRef

Benzer N (2010) Using the geographical information system and remote sensing techniques for soil erosion assessment. Pol J of Environ Stud 19(5):881–886

Benzougagh B, Dridri A, Boudad L, Kodad O, Sdkaoui D, Bouikbane H (2017) Evaluation of natural hazard of Inaouene watershed river in Northeast of Morocco: application of morphometric and geographic information system approaches. Int J Innov Appl Stud 19(1):85

Benzougagh B, Baamar B, Dridri A, Boudad L, Sadkaoui D, Mimich K (2020a) Relationship between landslide and morpho-structural analysis: a case study in Northeast of Morocco. Appl Water Sci 10(7):1–10. https://doi.org/10.1007/s13201-020-01258-4CrossRef

Benzougagh B, Sarita GM, Dridri A, Boudad L, Sadkaoui D, Mimich K, Khaled MK (2020b) Mapping of soil sensitivity to water erosion by RUSLE model: case of the Inaouene watershed (Northeast Morocco). Arab J Geosci 13(21):1–15. https://doi.org/10.1007/s12517-020-06079-yCrossRef

Benzougagh B, Dridri A, Boudad L, Baamar B, Sadkaoui D, Khedher KM (2022) Identification of critical watershed at risk of soil erosion using morphometric and geographic information system analysis. Appl Water Sci 12:1–20. https://doi.org/10.1007/s13201-021-01532-zCrossRef

Benzougagh B, Boudad Larbi P, Dridri Abdallah P, Driss S (2016) Utilization of GIS in morphometric analysis and prioritization of sub-watersheds of Oued Inaouene (Northeast Morocco). Europ Sci J 12(6). https://doi.org/10.19044/esj.2016.v12n6p266

Benzougagh B, Meshram SG, Fellah BE, Mastere M, El Basri M, Ouchen I, Turyasingura B (2023) Mapping of land degradation using SAM approach: the case of Inaouene watershed (Northeast Morocco). Model Earth Syst Environ https://doi.org/10.1007/s40808-023-01711-8

Bewket W, Teferi E (2009) Assessment of soil erosion hazard and prioritization for treatment at the watershed level: case study in the Chemoga Watershed, Blue Nile Basin. Ethiopia Land Degrad Dev 20(2009):609–622. https://doi.org/10.1002/ldr.944CrossRef

Bhattacharya RK, Bhattacharya ND, Chatterjee K (2020) Das Sub-basin prioritization for assessment of soil erosion susceptibility in Kangsabati, a plateau basin: a comparison between MCDM and SWAT models. Sci Total Environ 734:139474. https://doi.org/10.1016/j.scitotenv.2020.139474

Bonn F (1998) Spatialization of soil erosion models using remote sensing and GIS: possibilities, errors and limitations. Drought 9(3):185–192

Damnati B, Radakovitch O, Ibrahimi S (2004) Use of cesium-137 for estimating erosion rates in a watershed in northern Morocco. Drought 15(2):195–199

Demirci A, Karaburun A (2012) Estimation of soil erosion using RUSLE in a GIS framework: a case study in the Buyukcekmece lake watershed, northwest Turkey. Environ Earth Sci 66:903–913. https://doi.org/10.1007/s12665-011-1300-9CrossRef

Efe R, Ekinci D, Curebal I (2008) Erosion analysis of Sahin Creek watershed (NW of Turkey) using GIS based on Rusle (3d) method. J Appl Sci 8:49–58. https://doi.org/10.3923/jas.2008.49.58CrossRef

Elalaoui A, Marrakchi C, Fekri A, Maimouni S, Aradi M (2015) Implementation of a qualitative model for mapping areas at risk of water erosion in the Atlas Range: the case of the upstream Tessaoute watershed. Software (High Atlas, Central, Morocco, USA). Eur Sci J 11(29):106–121

Farhan Y, Nawaiseh S (2015) Spatial assessment of soil erosion risk using RUSLE and GIS techniques. Environ Earth Sci 74:4649–4669. https://doi.org/10.1007/s12665-015-4430-7CrossRef

Ganasri BP, Ramesh H (2016) Assessment of soil erosion by RUSLE model using remote sensing and GIS—a case study of Nethravathi Basin. Geosci Front 7:953–961. https://doi.org/10.1016/j.gsf.2015.10.007CrossRef

Gourfi AD, Daoudi L, Shi Z (2018) The assessment of soil erosion risk, sediment yield and their controlling factors on a large scale: Example of Morocco. J Afr Earth Sc 147:281–299. https://doi.org/10.1016/j.jafrearsci.2018.06.028

Haregeweyn N, Atsushi T, Jean P, Mitsuru T, Dereg TM, Ayele AF, Jean N, Enyew A (2017) Comprehensive assessment of soil erosion risk for better land use planning in river basins: a case study of the Upper Blue Nile River Sci. Total Environ 574:95–108. https://doi.org/10.1016/j.scitotenv.2016.09.019CrossRef

Haregeweyn N, Tsunekawa A, Nyssen J, Poesen J, Tsubo M, Meshesha DT, Schütt B, Adgo E, Tegegne F (2015) Soil erosion and conservation in Ethiopia: a review. Prog Phys Geogr 39(6):750–774. https://doi.org/10.1177/0309133315598725

Hossini H, Karimi H, Mustafa YT, Al-Quraishi AMF (2022). Role of effective factors on soil erosion and land degradation: a review. In: Al-Quraishi AMF, Mustafa YT, Negm AM (eds) Environmental degradation in Asia. Earth and environmental sciences library. Springer, Cham. https://doi.org/10.1007/978-3-031-12112-8_11

Hurni H, Hans H, Karl H, Brigitte P, Hanspeter L (2008) Soil erosion and conservation in global agriculture. In: Vlek PLG (ed) Land use and soil resources. Springer, Netherlands, pp 41–71. https://doi.org/10.1007/978-1-4020-6778-5_4

Jiang S, Alves A, Rodrigues F, Ferreira J Jr, Pereira FC (2015) Mining point-of-interest data from social networks for urban land use classification and disaggregation. Comput Environ Urban Syst 53:36–46. https://doi.org/10.1016/j.compenvurbsys.2014.12.001CrossRef

Jinren RN, Yingkui KL (2003) Approach to soil erosion assessment in terms of land-use structure changes. J Soil Water Conserv 58(3):158–169

Kader S, Novicevic R, Jaufer L (2022) Soil management in sustainable agriculture: analytical approach forthe ammonia removal from the diary manure. Agric For 68(4):69–78. https://doi.org/10.17707/AgricultForest.68.4.06

Kader S, Raimi MO, Spalevic V, Iyingiala AA, Bukola RW, Jaufer L, Butt TE (2023) A concise study on essential parameters for the sustainability of Lagoon waters in terms of scientific literature. Turkish J Agric For 47(3):288–307. https://doi.org/10.55730/1300-011X.3087

Kader S, Jaufer L, Bashir O, Olalekan Raimi M (2023) A comparative study on the stormwater retention of organic waste substrates biochar, sawdust, and wood bark recovered from Psidium Guajava L. Species. Agric For 69(1):105–112. https://doi.org/10.17707/AgricultForest.69.1.09

Kouli M, Soupios P, Vallianatos F (2009) Soil erosion prediction using the revised universal soil loss equation (RUSLE) in a GIS framework, Chania, Northwestern Crete. Greece Environ Geol 57:483–497. https://doi.org/10.1007/s00254-008-1318-9CrossRef

Lal R (2001) Soil degradation by erosion. Land Degrad Dev 12:519–539. https://doi.org/10.1002/ldr.472

Markhi A, Laftouhi NE, Soulaimani A, Fniguire F (2015). Quantification and evaluation of water erosion using the RUSLE model and integrated deposition in a GIS. Application in the n'Fis watershed in the Marrakech High Atlas (Morocco). Eur Sci J 11(29):340–356

Mehwish M, Nasir MJ, Raziq A, Al-Quraishi AMF (2024) Soil erosion vulnerability and soil loss estimation for Siran River watershed, Pakistan: an integrated GIS and remote sensing approach. Environ Monit Assess 196:104. https://doi.org/10.1007/s10661-023-12262-xCrossRef

Meliho M, Khattabi A, Mhammdi N (2018) A GIS-based approach for gully erosion susceptibility modelling using bivariate statistics methods in the Ourika watershed, Morocco. Environ Earth Sci 77:1–14. https://doi.org/10.1007/s12665-018-7844-1CrossRef

Meliho M, Khattabi A, Mhammdi N, Hongming Z (2016) Mapping of water erosion risks using the revised universal soil loss equation, remote sensing, and GIS in the Ourika watershed (High Atlas, Morocco). Europ Sci J 12:227–297. https://doi.org/10.19044/esj.2016.v12n32p277

Meliho M, Khattabi A, Mhammdi N (2020) Spatial assessment of soil erosion risk by integrating remote sensing and GIS techniques: a case of Tensift watershed in Morocco. Environ Earth Sci 79:207 https://doi.org/10.1007/s12665-020-08955-y

Mengistu D, Bewket W, Lal R (2015) Soil erosion hazard under the current and potential climate change induced loss of soil organic matter in the upper Blue Nile (Abay) River Basin. Ethiop ReaearchGate 137–163. https://doi.org/10.1007/978-3-319-09360-4_7

Merzouk A, Fenjiro I, Laouina A (1996) Mapping the evolution of erosion patterns in the Western Rif (Morocco): a multidate study using watershed GIS. In: De Noni G, Lamachère Georges DN, Lamachère JM, Roose E (eds) Surface conditions and runoff and erosion risks. Bulletin–Erosion Network, vol 16, pp 444–456

Merzouki T (1992) Diagnosis of siltation in large Moroccan Dams. Moroccan J Civil Eng 38:46–50

Meshesha DT, Tsunekawa A, Tsubo M, Haregeweyn N (2012) Dynamics and hotspots of soil erosion and management scenarios of the Central Rift Valley of Ethiopia Int. J Sediment Res 27(2012):84–99. https://doi.org/10.1016/S1001-6279(12)60018-3CrossRef

Molla T, Sisheber B (2017) Estimating soil erosion risk and evaluating erosion control measures for soil conservation planning at Koga watershed in Ethiopia’s highlands Solid. Earth 8(2017):13–25. https://doi.org/10.5194/se-8-13-2017CrossRef

Moore ID, Burch GJ (1986) (1986) Physical basis of the length-slope factor in the universal soil loss equation Soil Science. Soc Am J 50(5):1294–1298. https://doi.org/10.2136/sssaj1986.03615995005000050042xCrossRef

Neupane B, Mandal U, Al-Quraishi A, Ozdemir, M, Rai R (2023) Environmental threat of soil erosion in the Gwang Khola watershed, Chure Region of Nepal. Iraqi Geol J 56:194–206. https://doi.org/10.46717/igj.56.1e.14ms-2023-5-24

Panagos P, Ballabio C, Borrelli P, Meusburger K, Klik A, Rousseva S, Alewell C (2015) Rainfall erosivity in Europe. Sci Total Environ 511:801–814. https://doi.org/10.1016/j.scitotenv.2015.01.008CrossRef

Pandey A, Chowdary VM, Mal BC (2007) Identifcation of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resour Manag 21:729–746. https://doi.org/10.5194/10.1007/s11269-9061-zCrossRef

Piqué A, Soulaimani A, Hoepffner C (2007) Geology of Morocco, Geode. Imprimerie El Watanya, Marrakesh, Morocco

Prasannakumar V, Shiny R, Geetha N, Vijith H (2011) Spatial prediction of soil erosion risk by Remote Sensing, GIS and RUSLE approach: a case study of Siruvani River Watershed in Attapady Valley, Kerala, India. Environ Earth Sci 46:965–972. https://doi.org/10.1017/s12665-011-0913-3CrossRef

Prasannakumar V, Vijith H, Abinod S, Geetha N (2012) Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using revised universal soil loss equation (RUSLE) and geo-information technology. Geosci Front 3:209–215. https://doi.org/10.1016/j.gsf.2011.11.003CrossRef

Rango A, Arnoldus HMJ (1987). Watershed Management. In: FAO Technical Papers, pp 1–11

Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE). Agriculture Handbook No. 703, USAD-ARS, Washington

Rosas MA, Gutierrez RR (2019) Assessing soil erosion risk at national scale in developing countries: the technical challenges, a proposed methodology, and a case history. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2019.135474CrossRef

Rozos D, Skilodimou HD, Loupasakis C, Bathrellos GD (2013) Application of the revised universal soil loss equation model on landslide prevention. An example from N. Euboea (Evia) Island, Greece. Environ Earth Sci 70:3255–3266. https://doi.org/10.1007/s12665-013-2390-3CrossRef

Sestras P, Mircea S, Roșca S, Bilașco Ș, Sălăgean T, Dragomir LO, & Kader S (2023) GIS based soil erosion assessment using the USLE model for efficient land management: a case study in an area with diverse pedo-geomorphological and bioclimatic characteristics. Notulae Bot Horti Agrobotan Cluj-Napoca 51(3):13263–13263. https://doi.org/10.15835/nbha51313263

Tahiri M, Tabyaoui H, El Hammichi F, Tahiri A, El Haddi H (2014) Evaluation and Quantification of Erosion and Sedimentation from RUSLE, MUSLE and Deposition Models Integrated in a GIS. Application to the Oued Sania Subbasin (Tahaddart Basin, North-West Rif, Morocco). Eur J Sci Res 125(2):157–178

Teng M, Huang C, Wanga P, Zeng L, Zhoua Z, Xiao W, Huang Z, Liu C (2019). Impacts of forest restoration on soil erosion in the three gorges reservoir area, China. Sci Total Environ 697:134164. https://doi.org/10.1016/j.scitotenv.2019.134164

Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. Department of Agriculture, Science and Education Administration

Wolka K, Tadesse H, Garedew E, Yimer F (2015) Soil erosion risk assessment in the Chaleleka wetland watershed, Central Rift Valley of Ethiopia Environ. Syst Res 4(5). https://doi.org/10.1186/s40068-015-0030-5

Titel: Assessing Soil Erosion Vulnerability in Semi-Arid Haouz Plain, Marrakech, Morocco: Land Cover, Socio-Spatial Mutations, and Climatic Variations
verfasst von: Youssef Bammou
Brahim Benzougagh
Brahim Igmoullan
Ayad M. Fadhil Al-Quraishi
Fadhil Ali Ghaib
Shuraik Kader
Verlag: Springer International Publishing
Buch: Natural Resources Deterioration in MENA Region
Print ISBN: 978-3-031-58314-8

Electronic ISBN: 978-3-031-58315-5

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-58315-5_7