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Soil transportation assessment of an eastern Mediterranean basin in Greece using GIS techniques

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Abstract

Soil transportation is a complex phenomenon and one of the most important environmental hazards, with potentially harmful consequences for humans, property, the environment and economies. Now, with climate change leading to extreme natural disasters, it is as critical as ever to probe this phenomenon in order to estimate it, which should help to prevent human losses and environmental disasters. In this research paper, we present the performance of the American revised universal soil loss equation (RUSLE) and the European erosion potential method (EPM) models for the spatially distributed assessment of the soil erosion annual rate in Sperchios River basin (2318 km2), located in eastern Central Greece, using geographic information system (GIS) techniques. Each of these methods requires a significant number of inputs that are found in data centers of ministries and institutes around the world. Furthermore, we calculated the sediment yield in the outlet of the study area and compared it to different equations found in the international literature. In addition, due to a lack of recordings and observations of complex Mediterranean basins, we estimated the sediment discharge rating curve using standard values for the parameters a and b in the outlet of the basin, thus contributing to the calculation of the magnitude of the sediment flow. The results of applying the soil erosion models indicate that there is a strong correlation between the phenomenon and the geographic location of the study area. It is also clear that the RUSLE model leads to an underestimation of the actual soil erosion and sediment discharge in the study area.

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References

  • Ali M (2012) Sediment transport capacity for soil erosion modelling at hillslope scale: an experimental approach. Wageningen University and Research, Wageningen

    Google Scholar 

  • Almendro-Candel MB, Lucas IG, Navarro-Pedreño J, Zorpas AA (2018) Physical properties of soils affected by the use of agricultural waste. Agric Waste Residues 2(1):9–27. https://doi.org/10.5772/intechopen.77993

    Article  Google Scholar 

  • Arnold J (1994) SWAT—soil and water assessment tool. Texas A&M University, College Station

  • Asselman NEM (2000) Fitting and interpretation of sediment rating curves. J Hydrol 234(3–4):228–248. https://doi.org/10.1016/S0022-1694(00)00253-5

    Article  Google Scholar 

  • Atoma H, Suryabhagavan KV, Balakrishnan M (2020) Soil erosion assessment using RUSLE model and GIS in Huluka watershed, Central Ethiopia. Sustain Water Resour Manage 6(1):1–17. https://doi.org/10.1007/s40899-020-00365-z

    Article  Google Scholar 

  • Babiński Z (2005) The relationship between suspended and bed load transport in river channels. In: Proc Int Symp at 7th Sci Assembly of IAHS, Foz do Iguaçu, Brazil, 3–9 Apr 2005, pp 182–188

  • Basche AD, Archontoulis SV, Kaspar TC, Jaynes DB, Parkin TB, Miguez FE (2016) Simulating long-term impacts of cover crops and climate change on crop production and environmental outcomes in the Midwestern United States. Agric Ecosyst Environ 218:95–106. https://doi.org/10.1016/j.agee.2015.11.011

    Article  Google Scholar 

  • Batista PV, Davies J, Silva ML, Quinton JN (2019) On the evaluation of soil erosion models: are we doing enough? Earth-Sci Rev. https://doi.org/10.1016/j.earscirev.2019.102898

    Article  Google Scholar 

  • Beasley DB, Huggins LF, Monke A (1980) ANSWERS: a model for watershed planning. Trans ASAE 23(4):938–0944

    Article  Google Scholar 

  • Bekele B, Gemi Y (2021) Soil erosion risk and sediment yield assessment with universal soil loss equation and GIS: in Dijo watershed, rift valley basin of Ethiopia. Model Earth Syst Environ 7(1):273–291. https://doi.org/10.1007/s40808-020-01017-z

  • Boakye E, Anyemedu FOK, Donkor EA, Quaye-Ballard JA (2020) Spatial distribution of soil erosion and sediment yield in the Pra River basin. SN Appl Sci 2(3):1–12. https://doi.org/10.1007/s42452-020-2129-1

  • Bureau of Reclamation (1987) Design of small dams. US Department of the Interior, Washington, DC

  • Cerdan O, Souchère V, Lecomte V, Couturier A, Le Bissonnais Y (2002) Incorporating soil surface crusting processes in an expert-based runoff model: sealing and transfer by runoff and erosion related to agricultural management. Catena 46(2–3):189–205. https://doi.org/10.1016/S0341-8162(01)00166-7

    Article  Google Scholar 

  • Chuma GB, Bora FS, Ndeko AB, Mugumaarhahama Y, Cirezi NC, Mondo JM, Schimtz S (2022) Estimation of soil erosion using RUSLE modeling and geospatial tools in a tea production watershed (Chisheke in Walungu), eastern Democratic Republic of Congo. Model Earth Syst Environ 8(1):1273–1289. https://doi.org/10.1007/s40808-021-01134-3

    Article  Google Scholar 

  • CORINE Land Cover (2018) Land cover dataset for 2012. https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012/. Accessed 28 August 2021

  • Colby BR (1956) Relationship of sediment discharge to streamflow (no. 56–27). US Dept. of the Interior, Geological Survey, Water Resources Division, Washington, DC

  • Colman CB, Garcia KMP, Pereira RB, Shinma EA, Lima FE, Gomes AO, Oliveira PTS (2018) Different approaches to estimate the sediment yield in a tropical watershed. RBRH. https://doi.org/10.1590/2318-0331.231820170178

  • De Roo APJ, Wesseling CG, Jetten VG, Offermans RJE, Ritsema CJ (1995) LISEM: Limburg soil erosion model. User manual. Department of Physical Geography, Utrecht University, Utrecht

  • Efthimiou N (2016) Evaluation of different methods of constructing water discharge—soil discharge curves for the estimation of soil. Hydrotechnika 25(2)

  • Efthimiou N, Lykoudi EE, Karavitis CA (2017) Comparative analysis of sediment yield estimations using different empirical soil erosion models. Hydrol Sci J. https://doi.org/10.1080/02626667.2017.1404068

    Article  Google Scholar 

  • Efthimiou N, Markonis Y, Sklenicka P (2022) Magnitude–frequency analysis of coarse suspended sediment discharges in northwestern Greece. Hydrol Sci J. https://doi.org/10.1080/02626667.2022.2063726

    Article  Google Scholar 

  • Elwell HA (1978) Modelling soil losses in southern Africa. J Agric Eng Res 23(2):117–127

    Article  Google Scholar 

  • Eniyew S, Teshome M, Sisay E, Bezabih T (2021) Integrating RUSLE model with remote sensing and GIS for evaluation soil erosion in Telkwonz watershed, northwestern Ethiopia. Remote Sens Appl Soc Environ 24:100623. https://doi.org/10.1016/j.rsase.2021.100623

  • Favis-Mortlock DT (1996) An evolutionary approach to the simulation of rill initiation and development. In: Abrahart RJ (ed) Proceedings of the First International Conference on Geocomputation, vol 1. School of Geography, University of Leeds, Leeds, pp 248–281

  • Feloni E, Bournas A, Baltas E (2019) Assessment of sediment yield in an ungauged basin using GIS techniques. Hydrotechnika. https://doi.org/10.1016/j.iswcr.2016.06.001

    Article  Google Scholar 

  • Fernandez C, Wu JQ, McCool DK, Stöckle CO (2003) Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD. J Soil Water Conserv 58(3):128–136

    Google Scholar 

  • Flampouris KP (2008) Study of rainfall factor R on the Rusle law. Aristotle University of Thessaloniki, Thessaloniki. Doctoral thesis

  • Foster GR, Yoder DC, Weesies GA, Toy TJ (2001) The design philosophy behind RUSLE2: evolution of an empirical model. In: Soil erosion. American Society of Agricultural and Biological Engineers, St. Joseph, p 95

  • Gavrilovic S (1962) A method for estimating the average annual quantity of sediments according to the potency of erosion. Bull Fac Forestry 26:151–168 (in Serbian)

  • Gavrilović S (1970) Savremeni nacini proracunavanja bujicnih nanosa i izrada karata erozije. Jaroslav Černi Institute, Beograd (in Serbian)

  • Gavrilović S (1972) Inženjering o bujičnim tokovima i eroziji. Izgradnja, Beograd (in Serbian)

  • Gavrilovic Z, Stefanovic M, Milojevic M, Cotric J (2004) Erosion potential method: an important support for integrated water resource management. Institute Development of Water Resources, p. 14

  • Glysson GD (1987) Sediment-transport curves. USGS Rep 87-218

  • Govers G, Gobin A, Cerdan O, Van Rompaey A, Kirkby M, Irvine B, Mantel S (2003) Pan-European soil erosion risk assessment for Europe: the PESERA Map. Joint Research Centre. Ispra 10:S0076-6879

    Google Scholar 

  • Habtu W, Jayappa KS (2022) Assessment of soil erosion extent using RUSLE model integrated with GIS and RS: the case of Megech-Dirma watershed, Northwest Ethiopia. Environ Monitor Assess 194(4):1–25. https://doi.org/10.1007/s10661-022-09965-y

    Article  Google Scholar 

  • Hairsine PB, Rose CW (1991) Rainfall detachment and deposition: sediment transport in the absence of flow-driven processes. Soil Sci Soc Am J 55(2):320–324. https://doi.org/10.2136/sssaj1991.03615995005500020003x

    Article  Google Scholar 

  • Horowitz AJ (2003) An evaluation of sediment rating curves for estimating suspended sediment concentrations for subsequent flux calculations. Hydrol Process 17(17):3387–3409. https://doi.org/10.1002/hyp.1299

    Article  Google Scholar 

  • Karalis S, Karymbalis E, Tsanakas K (2021) Estimating total sediment transport in a small, mountainous Mediterranean river: the case of Vouraikos River, NW Peloponnese, Greece. Zeitschr Geomorphol. https://doi.org/10.1127/zfg/2021/0719

    Book  Google Scholar 

  • Khademalrasoul A, Amerikhah H (2021) Assessment of soil erosion patterns using RUSLE model and GIS tools (case study: the border of Khuzestan and Chaharmahal Province, Iran). Model Earth Syst Environ 7(2):885–895

    Article  Google Scholar 

  • Knisel WG (1980) CREAMS: a field scale model for chemicals, runoff, and erosion from agricultural management systems (no. 26). US Department of Agriculture, Science and Education Administration, Washington, DC

  • Kolli MK, Opp C, Groll M (2021) Estimation of soil erosion and sediment yield concentration across the Kolleru Lake catchment using GIS. Environ Earth Sci 80(4):1–14. https://doi.org/10.1007/s12665-021-09443-7

    Article  Google Scholar 

  • Koutsogiannis D, Mamasis N, Efstratiadis A (2003) Hydrological hydraulic study for flood protection of the New Dual Railway Line during its passage from the area of the River Sperchios. National Technical University of Athens, Athens

  • Koutsoyiannis D, Tarla K (1987) Estimations of soil transportation in Greece. Tech Chronicles A 7(3) (in Greek)

  • Krysanova V, Müller-Wohlfeil DI, Becker A (1998) Development and test of a spatially distributed hydrological/water quality model for mesoscale watersheds. Ecol Modell 106(2–3):261–289. https://doi.org/10.1016/S0304-3800(97)00204-4

    Article  Google Scholar 

  • Lee WK, Resdi TAT, Asfar J (2022) Analysis of sediment rating curve and sediment load for Langat river basin. J Sustain Sci Manage 17(3):145–160

  • Littleboy M, Silburn DM, Freebairn DM, Woodruff DR, Hammer GL, Leslie JK (1992) Impact of soil erosion on production in cropping systems. I. Development and validation of a simulation model. Soil Res 30(5):757–774. https://doi.org/10.1071/SR9920757

    Article  Google Scholar 

  • Maguire DJ (1991) An overview and definition of GIS. Geogr Inf Syst 1(1):9–20

    Google Scholar 

  • Maqsoom A, Aslam B, Hassan U, Kazmi ZA, Sodangi M, Tufail RF, Farooq D (2020) Geospatial assessment of soil erosion intensity and sediment yield using the revised universal soil loss equation (RUSLE) model. ISPRS Int J Geo-Inf 9(6):356. https://doi.org/10.3390/ijgi9060356

    Article  Google Scholar 

  • Marouane L, Lahcen B, Valérie M (2021) Assessment and mapping of water erosion by the integration of the Gavrilovic “EPM” model in the Inaouene watershed, Morocco. E3S Web Conf 314:03009. https://doi.org/10.1051/e3sconf/202131403009

  • Meléndez-Pastor I, Pedreño JN, Lucas IG, Zorpas AA (2017) A model for evaluating soil vulnerability to erosion using remote sensing data and a fuzzy logic system. Mod Fuzzy Control Syst Appl. https://doi.org/10.5772/67989

    Article  Google Scholar 

  • Meyer CR, Wagner LE, Yoder DC, Flanagan DC (2001) The modular soil erosion system (MOSES). In: Soil erosion. American Society of Agricultural and Biological Engineers, St. Joseph, p 358

  • Mimikou M (1982) An investigation of suspended sediment rating curves in western and northern Greece. Hydrol Sci J 27(3):369–383. https://doi.org/10.1080/02626668209491116

    Article  Google Scholar 

  • Mitasova H, Hofierka J, Zlocha M, Iverson LR (1996) Modelling topographic potential for erosion and deposition using GIS. Int J Geogr Inf Syst 10(5):629–641. https://doi.org/10.1080/02693799608902101

    Article  Google Scholar 

  • Morgan RPC, Davidson DA (eds) (1986) Soil erosion and conservation. Longman, Harlow

  • Morgan RPC, Morgan DDV, Finney HJ (1984) A predictive model for the assessment of soil erosion risk. J Agric Eng Res 30:245–253. https://doi.org/10.1016/S0021-8634(84)80025-6

    Article  Google Scholar 

  • Morgan RPC, Quinton JN, Smith RE, Govers G, Poesen JWA, Auerswald K, Styczen ME (1998) The European Soil Erosion Model (EUROSEM): a dynamic approach for predicting sediment transport from fields and small catchments. Earth Surf Process Landf 23(6):527–544. https://doi.org/10.1002/(SICI)1096-9837(199806)23:6%3c527::AID-ESP868%3e3.0.CO;2-5

  • Navarro-Pedreño J, Almendro-Candel MB, Zorpas AA (2021) The increase of soil organic matter reduces global warming, myth or reality? Science 3(1):18. https://doi.org/10.3390/sci3010018

    Article  Google Scholar 

  • Nearing MA (2000) Evaluating soil erosion models using measured plot data: accounting for variability in the data. Earth Surf Process Landf 25(9). https://doi.org/10.1002/1096-9837(200008)25:9<1035::AID-ESP121>3.0.CO;2-B

  • Nearing MA, Hairsine PB (2011) The future of soil erosion modelling. In: Morgan RP, Nearing MA (eds) Handbook of erosion modelling. Wiley-Blackwell, Chichester, p 389

  • Nearing MA, Foster GR, Lane LJ, Finkner SC (1989) A process-based soil erosion model for USDA-Water Erosion Prediction Project technology. Trans ASAE 32(5):1587–1593

    Article  Google Scholar 

  • Onori F, De Bonis P, Grauso S (2006) Soil erosion prediction at the basin scale using the revised universal soil loss equation (RUSLE) in a catchment of Sicily (southern Italy). Environ Geol 50(8):1129–1140. https://doi.org/10.1007/s00254-006-0286-1

    Article  Google Scholar 

  • Ostovari Y, Moosavi AA, Mozaffari H, Pourghasemi HR (2021) RUSLE model coupled with RS-GIS for soil erosion evaluation compared with T value in Southwest Iran. Arab J Geosci 14(2):1–15. https://doi.org/10.1007/s12517-020-06405-4

    Article  Google Scholar 

  • Panagos P, Meusburger K, Ballabio C, Borrelli P, Alewell C (2014) Soil erodibility in Europe: a high-resolution dataset based on LUCAS. Sci Total Environ 479:189–200. https://doi.org/10.1016/j.scitotenv.2014.02.010

    Article  Google Scholar 

  • Panagos P, Borrelli P, Poesen J, Ballabio C, Lugato E, Meusburger K, Alewell C (2015) The new assessment of soil loss by water erosion in Europe. Environ Sci Policy 54:438–447. https://doi.org/10.1016/j.envsci.2015.08.012

    Article  Google Scholar 

  • Peters-Kümmerly BE (1973) Studies on composition and transport of suspended solids in some Swiss rivers. Geograph Helv 28:137–151 (in German)

  • Piscoya VC, de Melo RCP, Filho MC, Santoianni SM, Guerra TOFP, Filho RRG, de Araújo Filho RN (2021) Sediment delivery ratio from a small semiarid watershed of Brazil. Rev Brasil Geogr Fís 14(03):1586–1596

    Article  Google Scholar 

  • Raissis F, Theochari AP, Baltas E (2021) Application of two different soil transportation methods and sensitivity analysis in Sperchios River basin. In: 8th Int Conf on Environmental Management, Engineering, Planning and Economics (CEMEPE) and the SECOTOX Conf, Thessaloniki, Greece, 20–24 July 2021

  • Renard KG, Freimund JR (1994) Using monthly precipitation data to estimate the R-factor in the revised USLE. J Hydrol 157(1–4):287–306. https://doi.org/10.1016/0022-1694(94)90110-4

    Article  Google Scholar 

  • Renard KG, Foster GR, Weesies GA, Porter JP (1991) RUSLE: revised universal soil loss equation. J Soil Water Conserv 46(1):30–33

  • Renard KG, Foster GR, Yoder DC, McCool DK (1994) RUSLE revisited: status, questions, answers, and the future. J Soil Water Conserv 49(3):213–220

  • Renfro GW (1972) Use of erosion equations and sediment delivery ratios for predicting sediment yield. In: Proc Sediment Yield Workshop, USDA-ARS, Washington, DC, 28−30 Nov 1972, pp 33−45

  • Renfro GW (1975) Use of erosion equations and sediment delivery ratios for predicting sediment yields and sources. ARS-S-40. USDA, Washington, DC

  • Renschler CS (2003) Designing geo-spatial interfaces to scale process models: the GeoWEPP approach. Hydrol Process 17(5):1005–1017. https://doi.org/10.1002/hyp.1177

    Article  Google Scholar 

  • Saha M, Sauda SS, Real HRK, Mahmud M (2022) Estimation of annual rate and spatial distribution of soil erosion in the Jamuna basin using RUSLE model: a geospatial approach. Environ Challenges 8:100524. https://doi.org/10.1016/j.envc.2022.100524

    Article  Google Scholar 

  • Samanta S, Koloa C, Pal DK, Palsamanta B (2016) Estimation of potential soil erosion rate using RUSLE and E30 model. Model Earth Syst Environ 2(3):1–11. https://doi.org/10.1007/s40808-016-0206-7

    Article  Google Scholar 

  • Schmidt J (1991) A mathematical model to simulate rainfall erosion. In: Bork H-R, De Ploey J, Schick ŽAP (eds) Erosion, transport and deposition processes—theories and models. Catena, Cremlingen-Destedt, Suppl 19, pp 101–109

  • Shahabi H, Salari M, Ahmad BB, Mohammadi A (2016) Soil erosion hazard mapping in central Zab Basin using EPM model in GIS environment. Int J Geogr Geol 5(11):224–235. https://doi.org/10.18488/journal.10/2016.5.11/10.11.224.23

  • Sigalos G, Loukaidi V, Dasaklis S, Alexouli-Livaditi A (2010) Assessment of the quantity of the material transported downstream of Sperchios River, Central Greece. Bull Geol Soc Greece. https://doi.org/10.12681/bgsg.11239

  • Silva MSD, Cavalcante RL, Souza PWM, Silva ROD, Pontes PR, Dallagnol R, Rocha EJPD (2021) Comparison of sediment rating curves and sediment yield in subbasins of the Itacaiúnas River Watershed, Eastern Amazon. RBRH. https://doi.org/10.1590/2318-0331.2621202100009

    Article  Google Scholar 

  • Stathopoulos N, Lykoudi E, Vasileiou E, Rozos D, Dimitrakopoulos D (2017) Erosion vulnerability assessment of Sperchios River Basin, in East Central Greece—a GIS based analysis. Open J Geol 7(5):621–646. https://doi.org/10.4236/ojg.2017.75043

    Article  Google Scholar 

  • USDA (1979) National engineering handbook. United States Department of Agriculture—Soil Conservation Service, Washington, DC, Sect. 4

  • USDA (1998) Erosion and sediment delivery. US Department of Agriculture, Washington, DC

  • Vacca C, Dominici R (2015) Preliminary considerations on the application of the Gavrilović method in GIS environment for the calculation of sediment produced by the catchment area of the Stilaro Fiumara (Calabria southeast). Rend Online Soc Geol It 33:104–107

  • Van der Knijff JM, Jones RJA, Montanarella L (2000) Soil erosion risk assessment in Europe. EUR 9044 EN. Office for Official Publications of the European Communities, Luxembourg

  • Van Oost K, Govers G, Desmet P (2000) Evaluating the effects of changes in landscape structure on soil erosion by water and tillage. Landsc Ecol 15(6):577–589. https://doi.org/10.1023/A:1008198215674

    Article  Google Scholar 

  • Vanoni VA (1975) Sedimentation engineering. ASCE Manuals and Reports of Engineering Practices no. 54. American Society of Civil Engineers, Reston

  • Vertessy RA, Hatton TJ, O’shaughnessy PJ, Jayasuriya MDA (1993) Predicting water yield from a mountain ash forest catchment using a terrain analysis based catchment model. J Hydrol 150(2–4):665–700. https://doi.org/10.1016/0022-1694(93)90131-R

    Article  Google Scholar 

  • Walling DE (1977) Assessing the accuracy of suspended sediment rating curves for a small basin. Water Resour Res 13(3):531–538. https://doi.org/10.1029/WR013i003p00531

    Article  Google Scholar 

  • Walling DE, Webb BW (1988) The reliability of rating curves estimate of suspended sediment yield: some further comments. In: Bordas MP, Walling DE (eds) Sediment budgets. IAHS Publ. no. 174. International Association of Hydrological Sciences, Wallingford

  • Warrick JA (2015) Trend analyses with river sediment rating curves. Hydrol Process 29(6):936–949. https://doi.org/10.1002/hyp.10198

    Article  Google Scholar 

  • Williams JR, Renard KG, Dyke PT (1983) EPIC: a new method for assessing erosion’s effect on soil productivity. J Soil Water Conserv 38(5):381–383

    Google Scholar 

  • Wischmeier WH, Smith DD (1965) Predicting rainfall erosion losses from cropland east of the Rocky Mountains: guide for selection of practices for soil and water conservation. Agriculture Handbook no. 282. Agricultural Research Service, West Lafayette

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. Agriculture Handbook no. 537. Agricultural Research Service, West Lafayette

  • Woolhiser DA, Smith RE, Goodrich DC (1990) KINEROS: a kinematic runoff and erosion model: documentation and user manual. Agricultural Research Service, West Lafayette

  • Young A, International Council for Research in Agroforestry (1989) Agroforestry for soil conservation. CAB International, Wallingford

  • Young RA, Onstad CA, Bosch DD, Anderson WP (1989) AGNPS: a nonpoint-source pollution model for evaluating agricultural watersheds. J Soil Water Conserv 44(2):168–173

    Google Scholar 

  • Zarris D, Vlastara M, Panagoulia D (2011) Sediment delivery assessment for a transboundary Mediterranean catchment: the example of Nestos river catchment. Water Resour Manage 25(14):3785–3803. https://doi.org/10.1007/s11269-011-9889-8

    Article  Google Scholar 

  • Zhang W, Wei X, Jinhai Z, Yuliang Z, Zhang Y (2012) Estimating suspended sediment loads in the Pearl River Delta region using sediment rating curves. Continental Shelf Res 38:35–46. https://doi.org/10.1016/j.csr.2012.02.017

    Article  Google Scholar 

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  1. Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, 5 Iroon Polytechniou, Athens, 157 80, Greece

    Filipos Raissis, Aimilia-Panagiota Theochari & Evangelos Baltas

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  1. Filipos Raissis
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by FR. The first draft of the manuscript was written by FR, and the authors commented on previous versions of the manuscript. Reviewing and editing were performed by A-PT. Supervision, validation, the final review and editing were performed by EB.

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Raissis, F., Theochari, AP. & Baltas, E. Soil transportation assessment of an eastern Mediterranean basin in Greece using GIS techniques. Euro-Mediterr J Environ Integr 7, 361–376 (2022). https://doi.org/10.1007/s41207-022-00318-2

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