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Soil Erosion and Deposition Rate Inside an Artificial Reservoir in Central Italy: Bathymetry versus RUSLE and Morphometry

Author

Listed:
  • Margherita Bufalini

    (School of Sciences and Technology, Geology Division, University of Camerino, Via Gentile III da Varano, 7, 62032 Camerino, Italy)

  • Marco Materazzi

    (School of Sciences and Technology, Geology Division, University of Camerino, Via Gentile III da Varano, 7, 62032 Camerino, Italy)

  • Chiara Martinello

    (Department of Earth and Marine Sciences, University of Palermo, Via Archirafi, 22, 90123 Palermo, Italy)

  • Edoardo Rotigliano

    (Department of Earth and Marine Sciences, University of Palermo, Via Archirafi, 22, 90123 Palermo, Italy)

  • Gilberto Pambianchi

    (School of Sciences and Technology, Geology Division, University of Camerino, Via Gentile III da Varano, 7, 62032 Camerino, Italy)

  • Michele Tromboni

    (Consorzio di Bonifica delle Marche, Sede Legale Via Guidi, 39, 61121 Pesaro, Italy)

  • Marco Paniccià

    (School of Pharmacy, University of Camerino, Via Madonna delle Carceri, 9, 62032 Camerino, Italy)

Abstract

This study, using different direct and indirect methodologies, evaluated the sedimentation rate in an artificial reservoir in central Italy. This reservoir is regionally representative and was built in the 1960s for hydroelectric purposes; it has experienced a strong decrease in trap efficiency and a loss of over 70% of the stored water volume. Direct measurements of the lake bottom bathymetry, carried out in 2006 and 2015, and 3D reconstructions performed in a GIS environment, made it possible to calculate the volume of filling material and to verify an increasing trend in the sedimentation rate since 2006. The sample reservoir denudation rate was compared with that obtained using the Revised Universal Soil Loss Equation method to calibrate the fundamental and critical factors of the method itself, and verify the contribution of a hydrological “direct” (through new channels or gullies) or “diffuse” (overland flow) connectivity. Furthermore, the comparison with the results obtained from past studies on ten other artificial regional reservoirs, performed with morphometric analysis, demonstrated a good relationship between soil erosion rate, stream frequency, and contributing area size. The study highlighted how a correct estimate of soil erosion and/or solid transport rates within a hydrographic basin is fundamental for the assessment of the trap efficiency of a reservoir, in a period in which the availability of water resources is becoming more and more vital.

Suggested Citation

  • Margherita Bufalini & Marco Materazzi & Chiara Martinello & Edoardo Rotigliano & Gilberto Pambianchi & Michele Tromboni & Marco Paniccià, 2022. "Soil Erosion and Deposition Rate Inside an Artificial Reservoir in Central Italy: Bathymetry versus RUSLE and Morphometry," Land, MDPI, vol. 11(11), pages 1-22, October.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:11:p:1924-:d:956716
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    References listed on IDEAS

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    1. Margherita Bufalini & Marco Materazzi & Mattia De Amicis & Gilberto Pambianchi, 2021. "From traditional to modern ‘full coverage’ geomorphological mapping: a study case in the Chienti river basin (Marche region, central Italy)," Journal of Maps, Taylor & Francis Journals, vol. 17(3), pages 17-28, June.
    2. Marco Materazzi & Margherita Bufalini & Matteo Gentilucci & Gilberto Pambianchi & Domenico Aringoli & Piero Farabollini, 2021. "Landslide Hazard Assessment in a Monoclinal Setting (Central Italy): Numerical vs. Geomorphological Approach," Land, MDPI, vol. 10(6), pages 1-22, June.
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    Cited by:

    1. Patrick J. Starks & Daniel N. Moriasi & Ann-Marie Fortuna, 2023. "GIS-Based RUSLE Reservoir Sedimentation Estimates: Temporally Variable C-Factors, Sediment Delivery Ratio, and Adjustment for Stream Channel and Bank Sediment Sources," Land, MDPI, vol. 12(10), pages 1-27, October.
    2. Tian Tian & Zhenqi Yang & Jianying Guo & Tiegang Zhang & Ziwei Wang & Ping Miao, 2023. "Spatiotemporal Evolution of Soil Erosion and Its Driving Mechanism in the Mongolian Section of the Yellow River Basin," Land, MDPI, vol. 12(4), pages 1-18, March.

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